url stringlengths 11 2.25k | text stringlengths 88 50k | ts timestamp[s]date 2026-01-13 08:47:33 2026-01-13 09:30:40 |
|---|---|---|
https://www.fine.dev/blog/replit-vs-cursor#cursor-over-replit | Replit vs Cursor vs Fine: Which AI Coding Tool Is Best for You? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor vs Fine: Which AI Coding Tool Is Best for You? AI-powered coding tools are gaining traction in the development world, making it easier for developers to write, debug, and manage code. Three of the leading platforms in this space are Fine, Replit, and Cursor, all offering AI-assisted coding features. However, with these advancements come key differences that make each platform more suitable for different types of developers. In this blog, we’ll break down Replit, Cursor, and Fine, examine their similarities and differences, and explain why Fine is the most advanced and comprehensive solution. Table of Contents Introduction to Replit Introduction to Cursor Introduction to Fine Similarities Between Replit, Cursor, and Fine Differences Between Replit, Cursor, and Fine Fine's Unique Features Why Choose Cursor Over Replit Why Choose Replit Over Cursor Why Fine is a Better Choice Before we dive in - take a moment to watch how we used Fine's AI Agent to make changes in our codebase - live, unedited. Introduction to Replit Replit is a browser-based integrated development environment (IDE) which recently released AI-powered features, offering autocomplete, debugging, and documentation generation. Designed to make coding accessible to beginners and professionals alike, Replit provides real-time collaboration capabilities, making it a go-to for team projects or educational purposes. It allows developers to quickly write code, generate tests, and set up APIs without complex configurations. With its broad support for multiple programming languages, Replit is a flexible choice for diverse coding tasks. Introduction to Cursor Cursor is an AI-powered code editor that was built as a fork of the popular IDE, VSCode. It offers advanced code completion, intelligent code refactoring, and natural language editing. Cursor also emphasizes security, with SOC 2 certification, making it suitable for teams that need stringent data privacy. While Cursor can be used as a standalone editor, it is especially valuable for developers already working in an environment like VSCode, allowing them to integrate AI assistance without disrupting their workflow. Similarities Between Replit, Cursor, and Fine Replit, Cursor, and Fine all focus on helping developers streamline their workflow through AI. Here are some key similarities: AI-Assisted Code Generation : All three platforms use AI to generate code based on natural language prompts, significantly reducing the time developers spend writing basic code snippets. Fine goes a step further by taking an issue from Linear, GitHub, or Jira and turning it into a PR. Autocomplete and Debugging : Replit, Cursor, and Fine all offer intelligent code completion and error detection, speeding up the development process and helping developers catch mistakes early. Fine also runs and tests the code it generates, fixing errors automatically. Collaboration Features : While Replit offers real-time collaboration directly in the browser, Cursor is a fork of VSCode. Differences Between Replit, Cursor, and Fine Platform Integration : Replit is a full-fledged online IDE, which means users can start coding directly in the browser without setting up a local environment. Cursor, on the other hand, is more suitable for those who already have a preferred development setup in VSCode and want to remain in that familiar environment. Fine, however, works seamlessly across platforms and integrates directly with tools like GitHub, Linear, and Slack, allowing developers to work wherever they are most comfortable. Collaboration and Ease of Use : Replit’s in-browser environment offers built-in real-time collaboration features, which makes it more accessible for teams or classrooms. Cursor, while collaborative, requires additional configuration for extensions and may be better suited for developers familiar with advanced setups. Fine is designed for teams; you can start a task, another colleague can complete it; you can share previews and console logs; and more. Fine's Unique Features Fine stands out with its unique features designed to enhance the developer experience: AI Agents Fix Their Own Code : Fine runs the code after generating it, identifies errors in the console logs, and offers to fix them automatically. Unlimited Premium LLM Usage : Fine provides unlimited access to leading LLMs like OpenAI's o1 and Claude 3.5 Sonnet, without requiring users to manage their own API keys. Multi-Tasking Capabilities : Fine allows developers to delegate multiple tasks simultaneously, working in the cloud so you can review results at your convenience. Workflow Automation : Fine automates repetitive tasks, saving developers time and effort. One of the most frustrating parts of coding with AI is reviewing the code generated by the LLM, which in some tools is littered with bugs and hallucinations. Fine outperforms Replit, Cursor and other tools with its unique features for the best developer experience: Fine runs the code after generating it and identifies errors in the console logs, offering to fix them itself. Fine commits regularly and allows easy rollbacks to any stage of the conversation Fine creates a new branch for each task, keeping your code safe - and it writes great commit messages Fine offers a clear Line Change Summary and highlights diffs with each commit, so you can keep track of all AI changes Why Choose Cursor Over Replit Security : For developers or teams that require stringent security measures, Cursor’s SOC 1 certification makes it the more reliable choice. Replit holds SOC 2 certification for enterprise customers across most of their platform, but it's not clear if that includes the new AI suite. Integration with Existing Tools : If you are already using VSCode or another local development environment, Cursor’s seamless integration allows you to bring AI assistance to your current workflow without changing your setup, much. Fine doesn't require switching your IDE at all - collaborate with Fine wherever you usually collaborate with teammates. Code Refactoring : Cursor excels in assisting with code refactoring and improving legacy codebases, offering smart suggestions that help maintain code quality over time. Why Choose Replit Over Cursor Fully Integrated IDE : For developers who want an all-in-one solution without the need to install additional software or manage extensions, Replit’s browser-based environment is an excellent choice. It allows you to start coding from anywhere, without the hassle of setup. Beginner-Friendly : Replit’s intuitive interface and extensive documentation make it a great option for beginners or educators. Its easy-to-use collaboration tools also make it ideal for group projects or learning environments. Real-Time Collaboration : Replit shines in team settings, offering a streamlined, real-time collaboration feature that works seamlessly across browsers. This is especially useful for projects where multiple developers need to work together in real-time. Connecting Replit and Cursor According to Twitter users, it's now easy to integrate Replit and Cursor and take advantage of how easy it is to deploy using Replit. The installation is a bit complex but explained here in detail. . You'll need to Generate an SSH Key for Replit in Cursor and add the Public Key to Replit. Then, you copy the Shell ocmmand and past it as a new SSH host in Cursor. Why Fine is a Better Choice While both Replit and Cursor offer compelling features, Fine takes AI-assisted coding a step further by providing advanced automation and a more comprehensive set of tools tailored for development teams. Here’s why Fine is a better alternative: Unlimited Premium LLM Use Fine doesn't limit how much paid subscribers can access OpenAI's o1 or Claude 3.5 Sonnet, the leading LLMs for software development. Many other platforms require the user to provide their own API keys for OpenAI and / or Anthropic and therefore pay by usage on top of the monthly subscription. Perform multiple tasks at the same time Fine works in the cloud, so you can delegate tasks and come back to them later - you don't even need to leave the browser tab open! If you're looking to delegate a number of tasks from your backlog, and come back to review them when you're ready, Fine is the obvious choice. Superior Workflow Automation : Fine’s AI not only assists with code generation and debugging but also automates entire workflows, reducing the time developers spend on repetitive tasks. Pull Request (PR) Summarization : Fine can summarize pull requests and help developers focus on high-level decisions by reviewing code that has already been tested and validated, a feature not available in either Replit or Cursor. Customizable for Teams : Fine is designed to scale with teams, offering powerful tools for collaborative development that integrate seamlessly with existing processes. Its AI can assist in reviewing and improving code, enabling teams to work faster and more efficiently. Full Context Awareness : Fine integrates with GitHub, Linear, Sentry and more, enabling the user to activate the AI wherever they're working and use information on external platforms as context. In conclusion, Replit, Cursor, and Fine each offer solid AI-powered coding solutions with unique strengths. However, Fine stands out as the most advanced and comprehensive option, offering unparalleled features like unlimited LLM usage, multi-tasking capabilities, and superior workflow automation. Whether you are a solo developer or managing a large development team, Fine's AI tools make it the ultimate choice for optimizing your development process. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/FAQs#faq20 | AI Coding FAQs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI Coding FAQs Table of Contents What is AI coding? What are the benefits of AI coding? How does AI coding work? What are some common misconceptions about AI coding? What industries can benefit from AI coding? How does Fine differ from other AI coding tools like GitHub Copilot? Can AI coding tools replace developers? Is Fine suitable for iOS development? What programming languages does Fine support? How can Fine improve team collaboration? What are "AI workflows" in Fine? Can I trust the AI-generated code from Fine? How does Fine help with bug fixing? How do I get started with Fine? Does Fine integrate with existing development tools? Can Fine help with code documentation? How does Fine handle testing? Is Fine suitable for individual developers, or is it better for teams? What kind of AI models does Fine use? How can Fine assist in code reviews? Does Fine offer support for legacy code? How does Fine enhance productivity for developers? Is Fine secure to use with proprietary code? How does Fine help with onboarding new developers? Does Fine support continuous integration/continuous deployment (CI/CD) workflows? How does Fine handle different coding styles and standards? What kind of support is available for Fine users? 1. What is AI coding? AI coding refers to the use of artificial intelligence to assist in the software development process. AI tools like Fine help developers by suggesting code, automating repetitive tasks, and enhancing productivity. 2. What are the benefits of AI coding? AI coding provides numerous benefits, including increased productivity, reduced manual coding errors, faster bug identification, and more efficient handling of repetitive tasks. It allows developers to focus more on creative and complex problem-solving. 3. How does AI coding work? AI coding tools leverage machine learning models trained on vast amounts of code data. These models understand coding patterns, best practices, and common issues, enabling them to provide code suggestions, automate tasks, and even debug code effectively. 4. What are some common misconceptions about AI coding? A common misconception is that AI coding tools will replace developers. In reality, these tools are designed to assist and augment developers' capabilities, handling repetitive and mundane tasks while developers focus on higher-level, strategic decisions. 5. What industries can benefit from AI coding? AI coding can benefit a wide range of industries, including tech, finance, healthcare, and e-commerce. Any industry that relies on software development can leverage AI coding to improve productivity, code quality, and overall efficiency. 6. How does Fine differ from other AI coding tools like GitHub Copilot? Fine stands out by focusing on the entire development workflow, not just code generation. It provides AI agents to code, test, document, and even summarize changes, making it an all-encompassing assistant for dev teams. 7. Can AI coding tools replace developers? No, AI coding tools like Fine are designed to enhance developers' work, not replace them. They take care of repetitive tasks, help troubleshoot, and speed up coding, allowing developers to focus on more creative and critical problem-solving. 8. Is Fine suitable for iOS development? Yes, Fine is particularly well-suited for iOS development, providing code suggestions, automation of testing, and intelligent documentation that improves development speed and accuracy compared to other tools like GitHub Copilot. Fine works well for the most common coding languages - such as Python. 9. What programming languages does Fine support? Fine currently supports popular programming languages like Python, JavaScript, TypeScript, and Swift. The platform continues to expand its language support based on user feedback and needs. 10. How can Fine improve team collaboration? Fine helps improve team collaboration by providing intelligent code reviews and automatically documenting code changes. This keeps everyone on the same page and makes knowledge sharing across teams much easier. Fine seamlessly integrates into where your teams are already collaborating, such as Slack, GitHub, and Linear. 11. What are "AI workflows" in Fine? AI workflows are automated sequences where Fine handles coding, testing, and documentation based on set instructions and triggers. This workflow feature is designed to reduce manual effort and streamline development processes, giving developers more time to innovate. 12. Can I trust the AI-generated code from Fine? Absolutely. Fine's AI coding suggestions are based on best practices and continuous testing. While the AI might not be perfect every time, it assists developers in catching potential issues early and improving code quality. Remember, your code also has mistakes. But Fine uses the best LLMs and can catch many of the simple errors human developers make. 13. How does Fine help with bug fixing? Fine's AI agents can highlight potential bugs, suggest fixes, and even automate parts of the testing process to make sure bugs are caught early. This helps improve customer experience by reducing errors in production. 14. How do I get started with Fine? Getting started is easy! Just visit ai.fine.dev , sign up, and explore the available features, from AI-assisted coding to workflow automation. There’s also documentation and community support to guide you. 15. Does Fine integrate with existing development tools? Yes, Fine integrates seamlessly with popular development tools such as GitHub, GitLab, Slack, Linear, and more. This makes it easy to incorporate Fine into your existing workflow without any major changes. 16. Can Fine help with code documentation? Absolutely. Fine automatically generates documentation for your code, making it easier to understand and maintain. This ensures that knowledge is retained and shared, which is especially useful for onboarding new team members. 17. How does Fine handle testing? Fine can automate the generation of unit tests and other testing processes. It suggests test cases and helps ensure that your code is robust, reducing the risk of errors before deployment. 18. Is Fine suitable for individual developers, or is it better for teams? Fine is designed to be valuable for both individual developers and teams. Individual developers benefit from faster coding and automated documentation, while teams benefit from enhanced collaboration and workflow automation. 19. What kind of AI models does Fine use? Fine uses advanced large language models (LLMs) that are specifically trained on coding tasks. These models are continuously updated to provide the best possible coding suggestions and automation features. 20. How can Fine assist in code reviews? Fine provides intelligent code review suggestions, highlighting potential issues and best practices. It helps developers conduct thorough reviews quickly, improving the quality of the codebase without spending excessive time. 21. Does Fine offer support for legacy code? Yes, Fine can assist with understanding and maintaining legacy code. It can help generate documentation, suggest improvements, and even refactor old code to align with modern best practices. 22. How does Fine enhance productivity for developers? Fine enhances productivity by automating repetitive tasks, suggesting code completions, generating documentation, and providing workflow automation. This allows developers to focus more on creative problem-solving and less on routine tasks. 23. Is Fine secure to use with proprietary code? Security is a top priority for Fine. All data is encrypted, and Fine follows best practices for data security to ensure that your proprietary code and sensitive information remain protected. 24. How does Fine help with onboarding new developers? Fine helps new developers get up to speed faster by providing comprehensive documentation and context-aware code suggestions. This reduces the learning curve and helps new team members become productive sooner. AI coding shouldn't be a crutch for new developers, it should be a launchpad. 25. Does Fine support continuous integration/continuous deployment (CI/CD) workflows? Yes, Fine integrates well with CI/CD pipelines, helping automate testing and deployment tasks. This ensures that your code is always in a deployable state and reduces manual intervention. 26. How does Fine handle different coding styles and standards? Fine is adaptable to different coding styles and standards. You can configure it to align with your team's specific guidelines, ensuring consistency across your codebase. Fine also learns your style based on your repository and tries to mimic it. 27. What kind of support is available for Fine users? Fine provides extensive support, including documentation, tutorials, and a community forum. Additionally, there is customer support available for troubleshooting and helping users get the most out of the platform. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor#fine-unique-features | Replit vs Cursor vs Fine: Which AI Coding Tool Is Best for You? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor vs Fine: Which AI Coding Tool Is Best for You? AI-powered coding tools are gaining traction in the development world, making it easier for developers to write, debug, and manage code. Three of the leading platforms in this space are Fine, Replit, and Cursor, all offering AI-assisted coding features. However, with these advancements come key differences that make each platform more suitable for different types of developers. In this blog, we’ll break down Replit, Cursor, and Fine, examine their similarities and differences, and explain why Fine is the most advanced and comprehensive solution. Table of Contents Introduction to Replit Introduction to Cursor Introduction to Fine Similarities Between Replit, Cursor, and Fine Differences Between Replit, Cursor, and Fine Fine's Unique Features Why Choose Cursor Over Replit Why Choose Replit Over Cursor Why Fine is a Better Choice Before we dive in - take a moment to watch how we used Fine's AI Agent to make changes in our codebase - live, unedited. Introduction to Replit Replit is a browser-based integrated development environment (IDE) which recently released AI-powered features, offering autocomplete, debugging, and documentation generation. Designed to make coding accessible to beginners and professionals alike, Replit provides real-time collaboration capabilities, making it a go-to for team projects or educational purposes. It allows developers to quickly write code, generate tests, and set up APIs without complex configurations. With its broad support for multiple programming languages, Replit is a flexible choice for diverse coding tasks. Introduction to Cursor Cursor is an AI-powered code editor that was built as a fork of the popular IDE, VSCode. It offers advanced code completion, intelligent code refactoring, and natural language editing. Cursor also emphasizes security, with SOC 2 certification, making it suitable for teams that need stringent data privacy. While Cursor can be used as a standalone editor, it is especially valuable for developers already working in an environment like VSCode, allowing them to integrate AI assistance without disrupting their workflow. Similarities Between Replit, Cursor, and Fine Replit, Cursor, and Fine all focus on helping developers streamline their workflow through AI. Here are some key similarities: AI-Assisted Code Generation : All three platforms use AI to generate code based on natural language prompts, significantly reducing the time developers spend writing basic code snippets. Fine goes a step further by taking an issue from Linear, GitHub, or Jira and turning it into a PR. Autocomplete and Debugging : Replit, Cursor, and Fine all offer intelligent code completion and error detection, speeding up the development process and helping developers catch mistakes early. Fine also runs and tests the code it generates, fixing errors automatically. Collaboration Features : While Replit offers real-time collaboration directly in the browser, Cursor is a fork of VSCode. Differences Between Replit, Cursor, and Fine Platform Integration : Replit is a full-fledged online IDE, which means users can start coding directly in the browser without setting up a local environment. Cursor, on the other hand, is more suitable for those who already have a preferred development setup in VSCode and want to remain in that familiar environment. Fine, however, works seamlessly across platforms and integrates directly with tools like GitHub, Linear, and Slack, allowing developers to work wherever they are most comfortable. Collaboration and Ease of Use : Replit’s in-browser environment offers built-in real-time collaboration features, which makes it more accessible for teams or classrooms. Cursor, while collaborative, requires additional configuration for extensions and may be better suited for developers familiar with advanced setups. Fine is designed for teams; you can start a task, another colleague can complete it; you can share previews and console logs; and more. Fine's Unique Features Fine stands out with its unique features designed to enhance the developer experience: AI Agents Fix Their Own Code : Fine runs the code after generating it, identifies errors in the console logs, and offers to fix them automatically. Unlimited Premium LLM Usage : Fine provides unlimited access to leading LLMs like OpenAI's o1 and Claude 3.5 Sonnet, without requiring users to manage their own API keys. Multi-Tasking Capabilities : Fine allows developers to delegate multiple tasks simultaneously, working in the cloud so you can review results at your convenience. Workflow Automation : Fine automates repetitive tasks, saving developers time and effort. One of the most frustrating parts of coding with AI is reviewing the code generated by the LLM, which in some tools is littered with bugs and hallucinations. Fine outperforms Replit, Cursor and other tools with its unique features for the best developer experience: Fine runs the code after generating it and identifies errors in the console logs, offering to fix them itself. Fine commits regularly and allows easy rollbacks to any stage of the conversation Fine creates a new branch for each task, keeping your code safe - and it writes great commit messages Fine offers a clear Line Change Summary and highlights diffs with each commit, so you can keep track of all AI changes Why Choose Cursor Over Replit Security : For developers or teams that require stringent security measures, Cursor’s SOC 1 certification makes it the more reliable choice. Replit holds SOC 2 certification for enterprise customers across most of their platform, but it's not clear if that includes the new AI suite. Integration with Existing Tools : If you are already using VSCode or another local development environment, Cursor’s seamless integration allows you to bring AI assistance to your current workflow without changing your setup, much. Fine doesn't require switching your IDE at all - collaborate with Fine wherever you usually collaborate with teammates. Code Refactoring : Cursor excels in assisting with code refactoring and improving legacy codebases, offering smart suggestions that help maintain code quality over time. Why Choose Replit Over Cursor Fully Integrated IDE : For developers who want an all-in-one solution without the need to install additional software or manage extensions, Replit’s browser-based environment is an excellent choice. It allows you to start coding from anywhere, without the hassle of setup. Beginner-Friendly : Replit’s intuitive interface and extensive documentation make it a great option for beginners or educators. Its easy-to-use collaboration tools also make it ideal for group projects or learning environments. Real-Time Collaboration : Replit shines in team settings, offering a streamlined, real-time collaboration feature that works seamlessly across browsers. This is especially useful for projects where multiple developers need to work together in real-time. Connecting Replit and Cursor According to Twitter users, it's now easy to integrate Replit and Cursor and take advantage of how easy it is to deploy using Replit. The installation is a bit complex but explained here in detail. . You'll need to Generate an SSH Key for Replit in Cursor and add the Public Key to Replit. Then, you copy the Shell ocmmand and past it as a new SSH host in Cursor. Why Fine is a Better Choice While both Replit and Cursor offer compelling features, Fine takes AI-assisted coding a step further by providing advanced automation and a more comprehensive set of tools tailored for development teams. Here’s why Fine is a better alternative: Unlimited Premium LLM Use Fine doesn't limit how much paid subscribers can access OpenAI's o1 or Claude 3.5 Sonnet, the leading LLMs for software development. Many other platforms require the user to provide their own API keys for OpenAI and / or Anthropic and therefore pay by usage on top of the monthly subscription. Perform multiple tasks at the same time Fine works in the cloud, so you can delegate tasks and come back to them later - you don't even need to leave the browser tab open! If you're looking to delegate a number of tasks from your backlog, and come back to review them when you're ready, Fine is the obvious choice. Superior Workflow Automation : Fine’s AI not only assists with code generation and debugging but also automates entire workflows, reducing the time developers spend on repetitive tasks. Pull Request (PR) Summarization : Fine can summarize pull requests and help developers focus on high-level decisions by reviewing code that has already been tested and validated, a feature not available in either Replit or Cursor. Customizable for Teams : Fine is designed to scale with teams, offering powerful tools for collaborative development that integrate seamlessly with existing processes. Its AI can assist in reviewing and improving code, enabling teams to work faster and more efficiently. Full Context Awareness : Fine integrates with GitHub, Linear, Sentry and more, enabling the user to activate the AI wherever they're working and use information on external platforms as context. In conclusion, Replit, Cursor, and Fine each offer solid AI-powered coding solutions with unique strengths. However, Fine stands out as the most advanced and comprehensive option, offering unparalleled features like unlimited LLM usage, multi-tasking capabilities, and superior workflow automation. Whether you are a solo developer or managing a large development team, Fine's AI tools make it the ultimate choice for optimizing your development process. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://opensource.org/ai/podcasts | Deep Dive Pocast – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home Open Source AI Deep Dive Pocast Fathom 1 The podcast What’s an “Open Source” AI system? The traditional view of open source code implementing AI algorithms may not be sufficient to guarantee inspectability and replicability of the AI systems. Algorithms are deciding who stays in jail or which customers deserve credit to buy a house. Learn more about the challenges of AI. SUBSCRIBE TO RSS How to secure AI systems How DARPA is building tools and a community to secure the artificial intelligence systems and prevent nightmare scenarios. Listen to this Episode Why Debian won’t distribute AI models any time soon This entry is part [not set] of 7 in the series Deep Dive: AIDeep Dive: AIWelcome to a brand new episode of Deep Dive: AI! For today’s conversation, we are Listen to this Episode Building creative restrictions to curb AI abuse This entry is part [not set] of 7 in the series Deep Dive: AIDeep Dive: AIAlong with all the positive, revolutionary aspects of AI comes a more sinister side. Joining Listen to this Episode When hackers take on AI: Sci-fi – or the future? This entry is part [not set] of 7 in the series Deep Dive: AIDeep Dive: AIBecause we lack a fundamental understanding of the internal mechanisms of current AI models, today’s Listen to this Episode Solving for AI’s black box problem This entry is part [not set] of 7 in the series Deep Dive: AIDeep Dive: AIThe mystery that surrounds the possibilities and probabilities of AI is multilayered, and depending on Listen to this Episode Copyright, selfie monkeys, the hand of God This entry is part [not set] of 7 in the series Deep Dive: AIDeep Dive: AIWhat are the copyright implications for AI? Can artwork created by a machine register for Listen to this Episode Welcome to Deep Dive: AI Welcome to Deep Dive:AI podcast, the first part of an online event from the Open Source Initiative. We’ll be exploring how Artificial Intelligence impacts open source software, from developers to businesses to the rest of us. Listen to this Episode Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:41 |
https://future.forem.com/t/blockchain#main-content | Blockchain - Future Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Future Close Blockchain Follow Hide A decentralized, distributed, and oftentimes public, digital ledger consisting of records called blocks that are used to record transactions across many computers so that any involved block cannot be altered retroactively, without the alteration of all subsequent blocks. Create Post Older #blockchain posts 1 2 3 4 5 6 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Smart Contract Security 101 — Reentrancy & Common AI‑Generated Mistakes Ribhav Ribhav Ribhav Follow Jan 12 Smart Contract Security 101 — Reentrancy & Common AI‑Generated Mistakes # security # crypto # blockchain # beginners Comments Add Comment 5 min read Solidity Basics (Part 2) — Arrays, Mappings & Structs (Upgrading the Web3 Journey Logger) Ribhav Ribhav Ribhav Follow Jan 6 Solidity Basics (Part 2) — Arrays, Mappings & Structs (Upgrading the Web3 Journey Logger) # crypto # blockchain # solidity # beginners Comments Add Comment 5 min read Tech Pulse – Weekly Tech Digest January 11, 2026 Om Shree Om Shree Om Shree Follow Jan 11 Tech Pulse – Weekly Tech Digest January 11, 2026 # ai # blockchain # security # science 15 reactions Comments Add Comment 4 min read Layer 0 & Layer 3 — How Blockchains Become an Internet, Not Islands Ribhav Ribhav Ribhav Follow Dec 28 '25 Layer 0 & Layer 3 — How Blockchains Become an Internet, Not Islands # crypto # blockchain # beginners # web3community Comments Add Comment 6 min read Solidity Basics (Part 1) — Variables, Functions & Your First Real Contract Ribhav Ribhav Ribhav Follow Jan 5 Solidity Basics (Part 1) — Variables, Functions & Your First Real Contract # crypto # blockchain # education # solidity 2 reactions Comments Add Comment 7 min read Stellar's Role in the Tokenized Real-World Assets (RWA) Boom Rohan Kumar Rohan Kumar Rohan Kumar Follow Dec 19 '25 Stellar's Role in the Tokenized Real-World Assets (RWA) Boom # blockchain # web3 # startup # rwa Comments Add Comment 21 min read UK Confirms Formal Cryptoasset Regulation to Begin in October 2027 Luckycoiner Luckycoiner Luckycoiner Follow Dec 18 '25 UK Confirms Formal Cryptoasset Regulation to Begin in October 2027 # blockchain # web3 # digitalregulation # cryptoassets Comments Add Comment 1 min read A Database‑Free Web3 Store: MetaMask Authentication and On‑Chain Product Management Arturas-Alfredas Lapinskas Arturas-Alfredas Lapinskas Arturas-Alfredas Lapinskas Follow Jan 10 A Database‑Free Web3 Store: MetaMask Authentication and On‑Chain Product Management # web3 # ether # solidity # blockchain 1 reaction Comments Add Comment 3 min read Why El Salvador's Bitcoin Experiment Looks Brilliant Through a Forex Trader's Lens Jude⚜ Jude⚜ Jude⚜ Follow Dec 15 '25 Why El Salvador's Bitcoin Experiment Looks Brilliant Through a Forex Trader's Lens # bitcoin # web3 # blockchain 2 reactions Comments Add Comment 5 min read How to Review AI‑Generated Solidity Like an Auditor (For Beginners) Ribhav Ribhav Ribhav Follow Jan 9 How to Review AI‑Generated Solidity Like an Auditor (For Beginners) # crypto # blockchain # ai # beginners Comments Add Comment 7 min read Crypto Regulation 101 — SEC, MiCA & What Builders Should Actually Care About Ribhav Ribhav Ribhav Follow Jan 2 Crypto Regulation 101 — SEC, MiCA & What Builders Should Actually Care About # crypto # blockchain # regulations # beginners 2 reactions Comments Add Comment 6 min read What emerging tech are you most excited or concerned about in 2026? Lucas Sanderson Lucas Sanderson Lucas Sanderson Follow Dec 9 '25 What emerging tech are you most excited or concerned about in 2026? # ai # productivity # blockchain # security Comments Add Comment 1 min read Web3 Infrastructure: RPCs, Nodes, Infura/Alchemy (The Invisible Plumbing) Ribhav Ribhav Ribhav Follow Dec 29 '25 Web3 Infrastructure: RPCs, Nodes, Infura/Alchemy (The Invisible Plumbing) # crypto # blockchain # beginners # web3 1 reaction Comments Add Comment 4 min read Marshall Islands Launches the World’s First Cryptocurrency-Based Universal Basic Income Program The_Bitcoiner The_Bitcoiner The_Bitcoiner Follow Dec 20 '25 Marshall Islands Launches the World’s First Cryptocurrency-Based Universal Basic Income Program # web3 # blockchain # cryptoubi # ubi Comments 1 comment 1 min read Vibecoding On‑Chain — Using AI to Prototype Solidity Contracts (Safely) Ribhav Ribhav Ribhav Follow Jan 8 Vibecoding On‑Chain — Using AI to Prototype Solidity Contracts (Safely) # crypto # blockchain # vibecoding # beginners 1 reaction Comments 1 comment 5 min read What is Web3 in Simple Terms Obafemi Ogunmokun Obafemi Ogunmokun Obafemi Ogunmokun Follow Dec 1 '25 What is Web3 in Simple Terms # blockchain # crypto # web3 # tutorial Comments Add Comment 5 min read On-Chain Identity — ENS, Soulbound Tokens & Your Web3 Resume Ribhav Ribhav Ribhav Follow Dec 31 '25 On-Chain Identity — ENS, Soulbound Tokens & Your Web3 Resume # web3 # blockchain # crypto # beginners 2 reactions Comments 2 comments 6 min read 🚨 Bitcoin Stuck Below $90K — Bounce or Bear Trap? Paul Bennett Paul Bennett Paul Bennett Follow Nov 26 '25 🚨 Bitcoin Stuck Below $90K — Bounce or Bear Trap? # bitcoin # blockchain Comments Add Comment 1 min read DAOs Explained: How Decentralized Organizations Actually Work Ribhav Ribhav Ribhav Follow Dec 18 '25 DAOs Explained: How Decentralized Organizations Actually Work # crypto # blockchain # daos # beginners Comments Add Comment 6 min read Ethereum vs Solana: Consensus in Action Ribhav Ribhav Ribhav Follow Dec 17 '25 Ethereum vs Solana: Consensus in Action # blockchain # web3 # crypto # beginners Comments Add Comment 6 min read MEV (Maximal Extractable Value): The Invisible Tax on Every Blockchain Transaction Ribhav Ribhav Ribhav Follow Dec 27 '25 MEV (Maximal Extractable Value): The Invisible Tax on Every Blockchain Transaction # crypto # blockchain # web3 # beginners 2 reactions Comments Add Comment 6 min read The FX Market Is Broken — Here’s How Blockchain Can Fix It Freecodingboss Freecodingboss Freecodingboss Follow Nov 23 '25 The FX Market Is Broken — Here’s How Blockchain Can Fix It # blockchain # stockmarket # trading # fxmarket Comments Add Comment 2 min read Cross-Chain Bridges: How Assets Travel Between Blockchains (Without Getting Robbed) Ribhav Ribhav Ribhav Follow Dec 25 '25 Cross-Chain Bridges: How Assets Travel Between Blockchains (Without Getting Robbed) # crypto # blockchain # web3 # beginners 1 reaction Comments 4 comments 6 min read Instagram’s feed and Reels recommendations are powered by machine learning models that examine a lot of signals. Aman Rathour Aman Rathour Aman Rathour Follow Nov 20 '25 Instagram’s feed and Reels recommendations are powered by machine learning models that examine a lot of signals. # webdev # ai # blockchain # programming Comments Add Comment 3 min read Bitcoin’s Settlement Layer Is Now Comparable to Visa + Mastercard Vin Cooper Vin Cooper Vin Cooper Follow Dec 3 '25 Bitcoin’s Settlement Layer Is Now Comparable to Visa + Mastercard # ai # blockchain # productivity # crypto Comments 1 comment 1 min read loading... trending guides/resources Bitcoin Liquidity Is Recovering and Price Might Follow Soon NFTs Explained Simply – What’s Actually Happening in 2025? Does Blockchain Actually Work? A Beginner’s Guide Without the Jargon Tech Pulse – Weekly Tech Digest January 11, 2026 Grok AI: A Deep Dive into xAI’s Maverick Chatbot Understanding Tokenomics – Why Token Design Matters Ethereum Wallets and Gas (for Non‑Technical People) DAOs in Practice – From Multi-Sig to Voting (And Why Ownership Tokens exist) Blockchain for Non-Technical People: Breaking Down the Basics 📰 Major Tech News: November 1st, 2025 — Nvidia's Korean AI Surge, Energy Pressures Mount, and Vid... 📰 Tech Takes: A Whirlwind Day in Innovation on November 20, 2025 Ethereum Price Outlook: Can ETH Reclaim $4,000 After Bitcoin’s Breakout? Smart Contracts and dApps on Ethereum (for Non‑Technical People) UK Confirms Formal Cryptoasset Regulation to Begin in October 2027 Stablecoins: from hype to real payments infrastructure Crypto Regulation 101 — SEC, MiCA & What Builders Should Actually Care About A Database‑Free Web3 Store: MetaMask Authentication and On‑Chain Product Management LëtzNova - the ultimate smart-city across all verticals. Vibecoding On‑Chain — Using AI to Prototype Solidity Contracts (Safely) Smart Contract Security 101 — Reentrancy & Common AI‑Generated Mistakes 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Future — News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Future © 2025 - 2026. Stay on the cutting edge, and shape tomorrow Log in Create account | 2026-01-13T08:49:41 |
https://popcorn.forem.com/new/streaming | New Post - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close Join the Popcorn Movies and TV Popcorn Movies and TV is a community of 3,676,891 amazing enthusiasts Continue with Apple Continue with Google Continue with Facebook Continue with Forem Continue with GitHub Continue with Twitter (X) OR Email Password Remember me Forgot password? By signing in, you are agreeing to our privacy policy , terms of use and code of conduct . New to Popcorn Movies and TV? Create account . 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/ai-coding-tools-all#ponicode | The Top AI Coding Tools and Assistants in 2024 Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back The Top AI Coding Tools and Assistants in 2024 Do you find yourself going crazy with all the different AI coding tools available? There are so many (here we list 32, but more are announced every week), it's hard to cut through the noise and understand which are the most useful AI coding tools. One thing is for certain: in today's fast-evolving software development landscape, AI coding tools are becoming essential for enhancing productivity, streamlining workflows, and improving code quality. Startups and agencies are looking to adopt the best AI coding tool to help them ship faster, better software and gain a competitive edge. This guide reviews 32 AI coding assistants available in 2024, discussing their features, pricing, and accessibility. Of course, we encourage you to check out Fine , the end-to-end AI coding tool designed to slot in to your team's collaborative workflows. Whilst many of the platforms listed focus on one aspect (code gen, testing, etc) - Fine is the AI Coding tool offering it all. Table of Contents Introduction Top 32 AI Coding Tools and Assistants Available for Immediate Use Fine.dev GitHub Copilot ChatGPT Amazon CodeWhisperer Tabnine Replit AI (Ghostwriter) Codiga Sourcery DeepCode (Snyk) CodeWP AIXcoder Cody (Sourcegraph) Figstack Android Studio Bot Amazon CodeGuru Security Mutable AI Ponicode Otter.ai Snyk Cursor Bolt Codium Qodo Void Editor Honeycomb Pear AI Magic AlphaCode Code Llama StableCode Visual Copilot Devin Conclusion FAQs Introduction Artificial Intelligence (AI) has revolutionized software development, with a plethora of coding tools now available to assist developers. Whether it's automating repetitive tasks, suggesting code improvements, or enhancing security, AI coding assistants have something to offer for every level of developer. Top 32 AI Coding Tools and Assistants Here’s a comprehensive list of the top AI coding assistants in 2024, divided into categories based on availability. Available for Immediate Use Fine - End-to-end AI coding assistant for every stage of the dev lifecycle, with full context awareness. Fine learns your codebase via the GitHub integration to minimize errors and maximize usefulness. It can turn issues into PRs; add docs, tests and logs; answer questions about your code; make revisions to PRs or summarize them; review your code and more. Based in the cloud, it's available via mobile as well as desktop. GitHub Copilot – Offers real-time code suggestions using OpenAI Codex. It helps developers write code more efficiently by predicting entire lines or blocks of code based on the context and the developer's intent. GitHub Copilot supports a wide range of programming languages and is integrated into popular development environments like Visual Studio Code, making it accessible and easy to use. Available plans start at $10/month. Pricing : $10/month (individual), $19/month (business) ChatGPT – Versatile AI assistant capable of code generation and debugging. A free version is available, while ChatGPT Plus costs $20/month. ChatGPT doesn't integrate with your codebase, so you'll need to copy and paste between your editor and the site. Pricing : Free, $20/month for Plus Amazon CodeWhisperer – Integrates seamlessly with AWS services, providing real-time code completions. Free tier available; Pro plan starts at $19/user per month. Pricing : Free, $19/user per month for Pro Tabnine – AI-powered code completion with a focus on privacy. Pricing : Free, $12/month for Pro Replit AI (Ghostwriter) – Collaborative cloud-based IDE offering code generation and debugging features, particularly useful for those with no coding experience or already using Replit. Pricing : $10/month for Core, $33/user per month for Teams Codiga – Real-time static code analysis tool with a free tier; Pro plan costs $14/month. Pricing : Free, $14/month for Pro Sourcery – AI code reviewer. Improves code quality through automated refactoring. Uses GPT4-turbo Pricing : Free for open-source, $12/month for Pro DeepCode (Snyk) – Detects security vulnerabilities in real-time. Free for individuals, with team plans starting at $27/month. Pricing : Free for individuals, $27/month per user CodeWP – AI-powered code generator specifically for WordPress. Pricing starts at $18/month. Pricing : Free, $18/month for Pro AIXcoder – Offers intelligent code completion with support for multiple IDEs. Free and custom enterprise plans available. Pricing : Free, custom pricing for enterprises Cody (Sourcegraph) – Supports project-wide code assistance, offering features like code navigation, large-scale search, and contextual help across entire projects, ensuring that developers can maintain consistency and quality across their entire codebase. Pricing : Free option available, paid plans start at $9 per month. Figstack – Assists with code documentation and optimization, priced at $10/month after a free trial. Pricing : $10/month after free trial Android Studio Bot – Available for free as part of Android Studio. Pricing : Free Amazon CodeGuru Security – Helps optimize code security, free for the first 90 days. Post-trial pricing is $10/month. Pricing : $10/month after first 90 days Mutable AI – Creates a wiki for your codebase. Pricing : Free for open source, basic plan starts at $2 per month. Snyk – Offers code and dependency vulnerability detection. Free for individuals; team plans start at $25/month. Pricing : Free for individuals, $27/month for teams Cursor – Cursor is a powerful AI coding assistant designed to streamline the software development process by providing intelligent code completions, contextual code suggestions, and explanations. It supports a wide range of programming languages and integrates smoothly with popular IDEs, making it an efficient tool for both individual developers and teams. Cursor aims to enhance productivity by reducing the time spent on repetitive coding tasks, offering automated code fixes, and facilitating collaboration. Free for basic use; premium features pricing varies. – Free for basic use; premium features pricing varies. Pricing : Varies Bolt – Although commonly described as a Cursor and V0 killer, Bolt seems to be a ChatGPT for front-end development. It's built by Stackblitz, the cloud-based web-development platform that lets you write, run and debug frontend code in your browser. Pricing : Free to start with paid subscriptions available in the app. Codeium – In-IDE AI coding assistant. Offers autocomplete, chat, and inline commands. Pricing : Free plan available, paid plans start at $10 per month. Qodo – AI coding tool that emphasis quality code, helping developers generate, test and review code. Pricing : Free version available, or $19 per month. Enterprise options available. Void Editor – Void describe themselves as an Open-Source alternative to Cursor offering greater privacy. Their logo seems similar to squarespace. Offers the ability to use the tab button to autocomplete the code you're writing - similar to GitHub Copilot. Waitlist access only, no pricing information available. Honeycomb – AI coding tool announced in August 2024 as a YC-backed startup, but the announcement and website have since disappeared. Still viewable on X . Pear AI – AI-powered coding assistant focused on improving development workflows, available at Pear AI. Built as a fork of Continue, which is a fork of VSCode, leading to controversy during their launch. Pricing : Free plan available requiring your own API keys. "Junior" plan for $15 per month includes limited credits for Claude and GPT4o with more credits available for purchase.. Magic – Requires a waitlist to access during the early access phase. AlphaCode – Limited to research and special projects. Code Llama – Open-source, but some hosted services may be restricted. Stable Code Alpha – Available as part of stability.ai membership. Visual Copilot – AI coding assistant for design-to-code. Import designs from Figma and turn into code. Free plan available with 4K context window and 20 code generations; Basic plan $19 per month, Growth plan $39 per month. Devin – Available only in early access; requires joining the waitlist. Conclusion AI coding tools continue to evolve, offering unique features to boost developer productivity. From real-time code suggestions to comprehensive security checks, developers can choose from a variety of options based on their needs and budget. FAQs Q: Are there any free AI coding tools? A: Yes, many tools offer free tiers or trials, including Fine. Q: How can I access Devin or Magic? A: Both tools require joining a waitlist for early access. Q: Are these tools suitable for beginners? A: Yes, many of these tools cater to all skill levels, providing resources and support for new developers. Important note: Information about platforms, their availability, features and pricing, is based on an automated internet search and may be inaccurate or out-of-date. Last updated: 2024-10-10 Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://popcorn.forem.com/t/reviews#main-content | Reviews - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close # reviews Follow Hide Critiques, ratings, and reviews of titles Create Post Older #reviews posts 1 2 3 4 5 6 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Ringer Movies: A Holiday Surprise for the Unboxing Boy Movie News Movie News Movie News Follow Dec 6 '25 Ringer Movies: A Holiday Surprise for the Unboxing Boy # reviews # offtopic Comments Add Comment 1 min read Mr Sunday Movies: John Carter - Caravan Of Garbage Movie News Movie News Movie News Follow Nov 28 '25 Mr Sunday Movies: John Carter - Caravan Of Garbage # movies # reviews # analysis Comments Add Comment 1 min read Mr Sunday Movies: The Sorcerer's Apprentice - Caravan of Garbage Movie News Movie News Movie News Follow Nov 29 '25 Mr Sunday Movies: The Sorcerer's Apprentice - Caravan of Garbage # movies # reviews # analysis Comments Add Comment 1 min read CinemaSins: Everything Wrong With Mission: Impossible - The Final Reckoning In 27 Minutes Or Less Movie News Movie News Movie News Follow Nov 28 '25 CinemaSins: Everything Wrong With Mission: Impossible - The Final Reckoning In 27 Minutes Or Less # movies # reviews # action # marketing Comments Add Comment 1 min read Ringer Movies: ‘Wicked: For Good’ Is No Good Movie News Movie News Movie News Follow Nov 21 '25 Ringer Movies: ‘Wicked: For Good’ Is No Good # movies # reviews # analysis Comments Add Comment 1 min read Mr Sunday Movies: Biggest Disney Bombs: The Sorcerer's Apprentice - Caravan of Garbage Movie News Movie News Movie News Follow Nov 21 '25 Mr Sunday Movies: Biggest Disney Bombs: The Sorcerer's Apprentice - Caravan of Garbage # movies # reviews # analysis Comments Add Comment 1 min read Ringer Movies: Best Picture Power Rankings & the Super-Sincerity of ‘Sentimental Value' Movie News Movie News Movie News Follow Nov 24 '25 Ringer Movies: Best Picture Power Rankings & the Super-Sincerity of ‘Sentimental Value' # movies # reviews # streaming # analysis Comments 1 comment 1 min read CinemaSins: Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less Movie News Movie News Movie News Follow Nov 17 '25 CinemaSins: Everything Wrong With Jurassic World Rebirth In 17 Minutes Or Less # movies # reviews Comments Add Comment 1 min read Ringer Movies: What Happened With the Fall Movie Slate? Movie News Movie News Movie News Follow Nov 15 '25 Ringer Movies: What Happened With the Fall Movie Slate? # movies # reviews # analysis # action Comments Add Comment 1 min read Ringer Movies: The 25 Best Movies of the Century: No. 5 - 'Lady Bird’ Movie News Movie News Movie News Follow Nov 13 '25 Ringer Movies: The 25 Best Movies of the Century: No. 5 - 'Lady Bird’ # movies # recommendations # reviews # analysis Comments Add Comment 1 min read CinemaSins: Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less Movie News Movie News Movie News Follow Nov 14 '25 CinemaSins: Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less # movies # reviews # marketing Comments Add Comment 1 min read Mr Sunday Movies: A New High? - Predator: Badlands Review Movie News Movie News Movie News Follow Nov 14 '25 Mr Sunday Movies: A New High? - Predator: Badlands Review # movies # reviews # action # streaming Comments Add Comment 1 min read Three Days of Happiness : A Quiet, Devastating Reflection on the Value of a Life Makinur Rahman Makinur Rahman Makinur Rahman Follow Nov 9 '25 Three Days of Happiness : A Quiet, Devastating Reflection on the Value of a Life # analysis # drama # reviews Comments Add Comment 3 min read Ringer Movies: ‘The Truman Show’ With Bill Simmons, Glen Powell, and Chris Ryan | The Rewatchables Movie News Movie News Movie News Follow Nov 5 '25 Ringer Movies: ‘The Truman Show’ With Bill Simmons, Glen Powell, and Chris Ryan | The Rewatchables # movies # reviews # streaming Comments Add Comment 1 min read Ringer Movies: Is 'Bugonia' A Best Picture Contender? Movie News Movie News Movie News Follow Oct 31 '25 Ringer Movies: Is 'Bugonia' A Best Picture Contender? # movies # reviews # recommendations Comments Add Comment 1 min read Ringer Movies: The 25 Best Movies of the Century: No. 7 - 'In The Mood for Love’ Movie News Movie News Movie News Follow Oct 29 '25 Ringer Movies: The 25 Best Movies of the Century: No. 7 - 'In The Mood for Love’ # movies # reviews # analysis # recommendations Comments Add Comment 1 min read Ringer Movies: The 25 Best Movies of the Century: No. 4 - 'Inglourious Basterds’ Movie News Movie News Movie News Follow Nov 21 '25 Ringer Movies: The 25 Best Movies of the Century: No. 4 - 'Inglourious Basterds’ # discuss # movies # reviews 1 reaction Comments 1 comment 1 min read Ringer Movies: ‘A House of Dynamite’ Is Ready to Explode Movie News Movie News Movie News Follow Oct 28 '25 Ringer Movies: ‘A House of Dynamite’ Is Ready to Explode # movies # reviews # analysis Comments Add Comment 1 min read Ringer Movies: Guillermo del Toro’s ‘Frankenstein’ is Here. Is it Good? Movie News Movie News Movie News Follow Nov 7 '25 Ringer Movies: Guillermo del Toro’s ‘Frankenstein’ is Here. Is it Good? # discuss # movies # reviews 4 reactions Comments Add Comment 1 min read Mr Sunday Movies: Why is Tron: Ares bombing? Movie News Movie News Movie News Follow Oct 20 '25 Mr Sunday Movies: Why is Tron: Ares bombing? # movies # reviews # analysis Comments Add Comment 1 min read Ringer Movies: ‘Halloween II’ With Bill Simmons, Chris Ryan, and Van Lathan Movie News Movie News Movie News Follow Nov 1 '25 Ringer Movies: ‘Halloween II’ With Bill Simmons, Chris Ryan, and Van Lathan # movies # reviews # streaming 3 reactions Comments Add Comment 1 min read Ringer Movies: The “Should I See It in a Movie Theater?” Test Movie News Movie News Movie News Follow Oct 18 '25 Ringer Movies: The “Should I See It in a Movie Theater?” Test # movies # reviews # analysis # recommendations Comments Add Comment 1 min read Ringer Movies: ‘Sneakers’ - How Robert Redford’s 1992 Cyber Caper Predicted the 2020s | The Rewatchables Podcast Movie News Movie News Movie News Follow Oct 16 '25 Ringer Movies: ‘Sneakers’ - How Robert Redford’s 1992 Cyber Caper Predicted the 2020s | The Rewatchables Podcast # movies # streaming # reviews Comments Add Comment 1 min read IGN: Black Phone 2 Review Gaming News Gaming News Gaming News Follow Oct 14 '25 IGN: Black Phone 2 Review # horror # movies # reviews Comments Add Comment 1 min read IGN: Frankenstein Review Gaming News Gaming News Gaming News Follow Oct 13 '25 IGN: Frankenstein Review # horror # movies # reviews Comments Add Comment 1 min read loading... trending guides/resources Three Days of Happiness : A Quiet, Devastating Reflection on the Value of a Life Ringer Movies: What Happened With the Fall Movie Slate? Ringer Movies: Best Picture Power Rankings & the Super-Sincerity of ‘Sentimental Value' Ringer Movies: ‘Wicked: For Good’ Is No Good Mr Sunday Movies: John Carter - Caravan Of Garbage Ringer Movies: Is 'Bugonia' A Best Picture Contender? Ringer Movies: ‘The Truman Show’ With Bill Simmons, Glen Powell, and Chris Ryan | The Rewatchables Ringer Movies: The 25 Best Movies of the Century: No. 5 - 'Lady Bird’ Ringer Movies: The 25 Best Movies of the Century: No. 4 - 'Inglourious Basterds’ Ringer Movies: ‘Halloween II’ With Bill Simmons, Chris Ryan, and Van Lathan Ringer Movies: Guillermo del Toro’s ‘Frankenstein’ is Here. Is it Good? Chainsaw Man: The Reze Arc : A Brutal, Beautiful Next Chapter 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:41 |
https://ostif.org/ | OSTIF.org – Securing Open Source for the World Skip to content Get an Audit Sponsor Us About Us Audits Community News Toggle website search Get an Audit Sponsor Us About Us Audits Community News Toggle website search Open Source Technology Improvement Fund Securing Open Source for the World The Open Source Technology Improvement Fund is a corporate non-profit dedicated to securing open source apps that we all depend on. Securing software isn’t easy, and we know what it takes to succeed. By facilitating security audits and reviews, OSTIF makes it easy for projects to significantly improve security. Better Security Through A Massive Community Through the Open Source Technology Improvement Fund, projects have been able to find and fix critical security bugs. 100+ partner projects 1000+ world class security experts 13000+ hours of security review 130+ severe bugs patched billions protected Support the OSTIF Mission Open-source projects keep today’s Internet infrastructure afloat. They are critical for the operation of every webserver, every browser, and every banking platform. And they are cared for by a surprisingly small group of people with a limited amount of time. Without dedicated security experts, these projects often don’t get the attention they require. We can do it with help from supporters like you. Become a Sponsor Kea Security Audit Complete! The Open Source Technology Improvement Fund is proud to share the results of our security audit of Kea. Kea is an open source project developed by Internet Systems Consortium (ISC).… Read more » OSTIF joins the Open Policy Alliance! OSTIF is excited to announce our membership in the Open Source Initiative’s Open Policy Alliance. Contributing to cybersecurity policy is part of OSTIF’s mission to educate around the importance of… Read more » The Open Source AI Series: A security health check of 25 popular open source AI/LLM projects: Findings and lessons learned By Adam Korczynski and David Korczynski of Ada Logics In late 2024, Alpha-Omega partnered with Ada Logics and the Open Source Technology Improvement Fund (OSTIF) to audit 25 widely used… Read more » X Bluesky LinkedIn Mastodon Youtube Github [email protected] Copyright © 2025 Open Source Technology Improvement Fund. All rights reserved. | 2026-01-13T08:49:41 |
https://popcorn.forem.com/code-of-conduct#main-content | Code of Conduct - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close Code of Conduct Last updated July 31, 2023 All participants of DEV Community are expected to abide by our Code of Conduct and Terms of Service , both online and during in-person events that are hosted and/or associated with DEV Community. Our Pledge In the interest of fostering an open and welcoming environment, we as moderators of DEV Community pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. Our Standards Examples of behavior that contributes to creating a positive environment include: Using welcoming and inclusive language Being respectful of differing viewpoints and experiences Referring to people by their pronouns and using gender-neutral pronouns when uncertain Gracefully accepting constructive criticism Focusing on what is best for the community Showing empathy towards other community members Citing sources if used to create content (for guidance see DEV Community: How to Avoid Plagiarism ) Following our AI Guidelines and disclosing AI assistance if used to create content Examples of unacceptable behavior by participants include: The use of sexualized language or imagery and unwelcome sexual attention or advances The use of hate speech or communication that is racist, homophobic, transphobic, ableist, sexist, or otherwise prejudiced/discriminatory (i.e. misusing or disrespecting pronouns) Trolling, insulting/derogatory comments, and personal or political attacks Public or private harassment Publishing others' private information, such as a physical or electronic address, without explicit permission Plagiarizing content or misappropriating works Other conduct which could reasonably be considered inappropriate in a professional setting Dismissing or attacking inclusion-oriented requests We pledge to prioritize marginalized people's safety over privileged people's comfort. We will not act on complaints regarding: 'Reverse' -isms, including 'reverse racism,' 'reverse sexism,' and 'cisphobia' Reasonable communication of boundaries, such as 'leave me alone,' 'go away,' or 'I'm not discussing this with you.' Someone's refusal to explain or debate social justice concepts Criticisms of racist, sexist, cissexist, or otherwise oppressive behavior or assumptions Enforcement Violations of the Code of Conduct may be reported by contacting the team via the abuse report form or by sending an email to support@dev.to . All reports will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. Further details of specific enforcement policies may be posted separately. Moderators have the right and responsibility to remove comments or other contributions that are not aligned to this Code of Conduct or to suspend temporarily or permanently any members for other behaviors that they deem inappropriate, threatening, offensive, or harmful. If you agree with our values and would like to help us enforce the Code of Conduct, you might consider volunteering as a DEV moderator. Please check out the DEV Community Moderation page for information about our moderator roles and how to become a mod. Attribution This Code of Conduct is adapted from: Contributor Covenant, version 1.4 Write/Speak/Code Geek Feminism 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:41 |
https://vibe.forem.com/new/api | New Post - Vibe Coding Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Vibe Coding Forem Close Join the Vibe Coding Forem Vibe Coding Forem is a community of 3,676,891 amazing vibe coders Continue with Apple Continue with Google Continue with Facebook Continue with Forem Continue with GitHub Continue with Twitter (X) OR Email Password Remember me Forgot password? By signing in, you are agreeing to our privacy policy , terms of use and code of conduct . New to Vibe Coding Forem? Create account . 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:41 |
https://popcorn.forem.com/popcorn_movies/mr-sunday-movies-john-carter-caravan-of-garbage-3kp8 | Mr Sunday Movies: John Carter - Caravan Of Garbage - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Movie News Posted on Nov 28, 2025 Mr Sunday Movies: John Carter - Caravan Of Garbage # movies # reviews # analysis John Carter – Caravan Of Garbage Disney’s in a bit of a slump right now: the Marvel and Star Wars juggernauts aren’t hitting like they used to, and new titles like Wish and Elio are barely making a ripple. But hey, Disney’s had its fair share of flops before, so buckle up as over the next few weeks we dive into four colossal live-action disasters—kicking things off with 2010’s The Sorcerer’s Apprentice , starring Nic Cage, magic mishaps, and… a giant bird? This is a slice of The Weekly Planet’s chaos, so expect plenty of banter plus plugs for bonus podcasts, merch, social handles, Patreon goodies and more. If you want extended audio editions, behind-the-scenes chatter or just to join the circus, they’ve got you covered at bigsandwich.co, YouTube, Apple Podcasts and all the usual haunts. Watch on YouTube Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Movie News Follow Joined Jun 22, 2025 More from Movie News Ringer Movies: The 2026 Golden Globes: ‘One Battle After Another’ vs. ‘Hamnet’ Begins # movies # reviews # analysis # streaming CinemaSins: Everything Wrong With Austin Powers in Goldmember in 19 Minutes Or Less # movies # reviews # analysis # marketing Ringer Movies: Five Burning Questions About Awards Season & Our Golden Globes Predictions # movies # analysis # reviews # recommendations 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/autocookies | Quan Van - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Quan Van Software Engineer | Building "Impossible" Things on constrained hardware | Creator of Pomai Cache Joined Joined on Jan 4, 2026 Email address qtech@cookiescooker.click Personal website https://www.linkedin.com/in/quan-van-15a5b3248 github website More info about @autocookies Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages Go, Javascripts, Python, Typescripts, C/C++ Currently hacking on Pomai Cache | Pomai Eco Available for Everyone, every day! Post 2 posts published Comment 0 comments written Tag 0 tags followed I Built a Hybrid AI Database - Cache in Go (And It Runs Stable on My Old Dell Latitude) Quan Van Quan Van Quan Van Follow Jan 5 I Built a Hybrid AI Database - Cache in Go (And It Runs Stable on My Old Dell Latitude) # go # database # opensource # software 1 reaction Comments Add Comment 7 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#table-of-contents | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#fine | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dev.to/aaron_rose_0787cc8b4775a0 | Aaron Rose - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Aaron Rose Software engineer and technology writer at tech-reader.blog Location Dallas, TX Joined Joined on Aug 24, 2024 Personal website https://www.tech-reader.blog 8 Week Community Wellness Streak Consistency pays off! Be an active part of our community by posting at least 2 comments per week for 8 straight weeks. Earn the 16 Week Badge next. Got it Close JavaScript Awarded to the top JavaScript author each week Got it Close Top 7 Awarded for having a post featured in the weekly "must-reads" list. 🙌 Got it Close Go Awarded to the top Go author each week Got it Close Python Awarded to the top Python author each week Got it Close 4 Week Community Wellness Streak Keep contributing to discussions by posting at least 2 comments per week for 4 straight weeks. Unlock the 8 Week Badge next. Got it Close 2 Week Community Wellness Streak Keep the community conversation going! Post at least 2 comments for 2 straight weeks and unlock the 4 Week Badge. Got it Close 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close More info about @aaron_rose_0787cc8b4775a0 Skills/Languages Python, Node.js, SQL, AWS, GCP, Azure, Oracle Cloud, LocalStack, Docker, Kubernetes, Linux, DevOps pipelines, IaC (Terraform, CloudFormation), CI/CD, serverless, Raspberry Pi, database administration Currently learning Advanced multi-cloud architecture patterns across AWS, GCP, Azure, and Oracle Cloud. Exploring infrastructure automation with Python and diving deep into LocalStack for local cloud development. Currently hacking on Multi-cloud infrastructure automation with Python, building DevOps pipelines that span multiple cloud providers, and maintaining a homelab that's equal parts Ubuntu servers and Raspberry Pi clusters. Available for * Cloud infrastructure discussions * Cloud tooling * Serverless patterns * Database design * Creative edge computing solutions * Everything Ubuntu * Everything Raspberry Pi Post 176 posts published Comment 79 comments written Tag 12 tags followed The Secret Life of JavaScript: Identity Aaron Rose Aaron Rose Aaron Rose Follow Jan 13 The Secret Life of JavaScript: Identity # javascript # coding # programming # software 1 reaction Comments Add Comment 3 min read Want to connect with Aaron Rose? Create an account to connect with Aaron Rose. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in The Secret Life of Go: Interfaces Aaron Rose Aaron Rose Aaron Rose Follow Jan 12 The Secret Life of Go: Interfaces # go # coding # programming # software 9 reactions Comments Add Comment 5 min read The Secret Life of Go: Testing Aaron Rose Aaron Rose Aaron Rose Follow Jan 10 The Secret Life of Go: Testing # go # coding # programming # softwaredevelopment 14 reactions Comments 3 comments 6 min read The Secret Life of Python: The Matryoshka Trap Aaron Rose Aaron Rose Aaron Rose Follow Jan 9 The Secret Life of Python: The Matryoshka Trap # python # coding # programming # softwaredevelopment 8 reactions Comments Add Comment 4 min read The Secret Life of Python: The Dangerous Reflection Aaron Rose Aaron Rose Aaron Rose Follow Jan 8 The Secret Life of Python: The Dangerous Reflection # python # coding # programming # softwaredevelopment 8 reactions Comments Add Comment 3 min read The Secret Life of JavaScript: Illusions Aaron Rose Aaron Rose Aaron Rose Follow Jan 6 The Secret Life of JavaScript: Illusions # javascript # coding # programming # softwaredevelopment 9 reactions Comments Add Comment 3 min read The Secret Life of JavaScript: Memories Aaron Rose Aaron Rose Aaron Rose Follow Jan 5 The Secret Life of JavaScript: Memories # javascript # coding # programming # softwaredevelopment 20 reactions Comments 3 comments 3 min read Happy New Year! 🎉 Aaron Rose Aaron Rose Aaron Rose Follow Jan 1 Happy New Year! 🎉 # python # 2026 # coding # strongcoffee 44 reactions Comments 20 comments 1 min read The Secret Life of JavaScript: Inheritance Aaron Rose Aaron Rose Aaron Rose Follow Dec 30 '25 The Secret Life of JavaScript: Inheritance # javascript # coding # programming # softwaredevelopment 15 reactions Comments 3 comments 3 min read The Secret Life of Go: Error Handling Aaron Rose Aaron Rose Aaron Rose Follow Dec 29 '25 The Secret Life of Go: Error Handling # go # coding # programming # softwaredevelopment 6 reactions Comments Add Comment 6 min read The Secret Life of Go: Packages and Structure Aaron Rose Aaron Rose Aaron Rose Follow Dec 28 '25 The Secret Life of Go: Packages and Structure # go # coding # programming # softwaredevelopment 6 reactions Comments Add Comment 5 min read Python by Structure: Precise Error Scoping with Try/Except/Else Aaron Rose Aaron Rose Aaron Rose Follow Dec 27 '25 Python by Structure: Precise Error Scoping with Try/Except/Else # python # coding # programming # softwaredevelopment 5 reactions Comments Add Comment 2 min read Python by Structure: Decorators and the "Logic Envelope" Aaron Rose Aaron Rose Aaron Rose Follow Dec 27 '25 Python by Structure: Decorators and the "Logic Envelope" # python # coding # programming # softwaredevelopment 3 reactions Comments Add Comment 2 min read Python by Structure: List Comprehensions and the "Single Action" Aaron Rose Aaron Rose Aaron Rose Follow Dec 24 '25 Python by Structure: List Comprehensions and the "Single Action" # python # coding # programming # softwaredevelopment 4 reactions Comments Add Comment 3 min read Python by Structure: How the 'with' Statement Automates Resource Management Aaron Rose Aaron Rose Aaron Rose Follow Dec 24 '25 Python by Structure: How the 'with' Statement Automates Resource Management # python # coding # programming # softwaredevelopment 2 reactions Comments Add Comment 3 min read The Secret Life of Python: The Truth About Nothing Aaron Rose Aaron Rose Aaron Rose Follow Dec 23 '25 The Secret Life of Python: The Truth About Nothing # python # coding # programming # software 6 reactions Comments 1 comment 4 min read The Secret Life of JavaScript: Asynchrony Aaron Rose Aaron Rose Aaron Rose Follow Dec 21 '25 The Secret Life of JavaScript: Asynchrony # javascript # coding # programming # software 9 reactions Comments Add Comment 3 min read The Secret Life of JavaScript: The Power of Function Composition Aaron Rose Aaron Rose Aaron Rose Follow Dec 20 '25 The Secret Life of JavaScript: The Power of Function Composition # javascript # coding # programming # softwaredevelopment 6 reactions Comments Add Comment 5 min read The Secret Life of Go: Atomic Operations Aaron Rose Aaron Rose Aaron Rose Follow Dec 19 '25 The Secret Life of Go: Atomic Operations # go # coding # programming # softwaredevelopment 8 reactions Comments 1 comment 6 min read The Secret Life of Python: The Infinite Copy Aaron Rose Aaron Rose Aaron Rose Follow Dec 18 '25 The Secret Life of Python: The Infinite Copy # python # coding # programming # software 15 reactions Comments 6 comments 4 min read The Secret Life of Python: The Statue in the Memory Aaron Rose Aaron Rose Aaron Rose Follow Dec 17 '25 The Secret Life of Python: The Statue in the Memory # python # coding # programming # softwaredevelopment 11 reactions Comments 2 comments 4 min read The Secret Life of Python: The Myth of the Box Aaron Rose Aaron Rose Aaron Rose Follow Dec 16 '25 The Secret Life of Python: The Myth of the Box # python # coding # programming # softwaredevelopment 11 reactions Comments 1 comment 4 min read The Secret Life of JavaScript: Currying vs. Partial Application Aaron Rose Aaron Rose Aaron Rose Follow Dec 15 '25 The Secret Life of JavaScript: Currying vs. Partial Application # javascript # coding # programming # softwaredevelopment 13 reactions Comments 2 comments 5 min read Python by Structure: List Comprehensions and Their Hidden Complexity Aaron Rose Aaron Rose Aaron Rose Follow Dec 14 '25 Python by Structure: List Comprehensions and Their Hidden Complexity # python # coding # programming # software 6 reactions Comments Add Comment 7 min read The Secret Life of JavaScript: Understanding Closures Aaron Rose Aaron Rose Aaron Rose Follow Dec 12 '25 The Secret Life of JavaScript: Understanding Closures # javascript # coding # programming # softwaredevelopment 38 reactions Comments 5 comments 10 min read The Secret Life of JavaScript: Understanding Prototypes Aaron Rose Aaron Rose Aaron Rose Follow Dec 11 '25 The Secret Life of JavaScript: Understanding Prototypes # javascript # coding # programming # softwaredevelopment 29 reactions Comments 7 comments 11 min read The Secret Life of Python: The Import System Aaron Rose Aaron Rose Aaron Rose Follow Dec 10 '25 The Secret Life of Python: The Import System # python # coding # programming # software 7 reactions Comments 3 comments 19 min read The Secret Life of Go: Mutexes and Synchronization Aaron Rose Aaron Rose Aaron Rose Follow Dec 9 '25 The Secret Life of Go: Mutexes and Synchronization # go # coding # programming # softwaredevelopment 5 reactions Comments Add Comment 10 min read The Secret Life of JavaScript: Understanding 'this' Aaron Rose Aaron Rose Aaron Rose Follow Dec 8 '25 The Secret Life of JavaScript: Understanding 'this' # javascript # coding # programming # software 12 reactions Comments 5 comments 11 min read The Secret Life of JavaScript: Let, Const, and Why Variables Are Complicated Aaron Rose Aaron Rose Aaron Rose Follow Dec 8 '25 The Secret Life of JavaScript: Let, Const, and Why Variables Are Complicated # javascript # coding # programming # software 43 reactions Comments 15 comments 9 min read Python by Structure: Context Managers and the 'with' Statement Aaron Rose Aaron Rose Aaron Rose Follow Dec 7 '25 Python by Structure: Context Managers and the 'with' Statement # python # coding # programming # softwaredevelopment 3 reactions Comments Add Comment 6 min read The Secret Life of Python: Metaclasses - Classes That Make Classes Aaron Rose Aaron Rose Aaron Rose Follow Dec 6 '25 The Secret Life of Python: Metaclasses - Classes That Make Classes # python # coding # programming # softwaredevelopment 2 reactions Comments Add Comment 17 min read The Secret Life of Go: Goroutines and Channels Aaron Rose Aaron Rose Aaron Rose Follow Dec 5 '25 The Secret Life of Go: Goroutines and Channels # go # coding # programming # software 6 reactions Comments 1 comment 9 min read Python by Structure: Return Value Transformations with Decorators Aaron Rose Aaron Rose Aaron Rose Follow Dec 4 '25 Python by Structure: Return Value Transformations with Decorators # python # coding # programming # softwaredevelopment 3 reactions Comments 3 comments 4 min read The Secret Life of Python: super() and the Method Resolution Order Aaron Rose Aaron Rose Aaron Rose Follow Dec 3 '25 The Secret Life of Python: super() and the Method Resolution Order # python # coding # programming # software 21 reactions Comments 4 comments 18 min read The Secret Life of Go: Interfaces Aaron Rose Aaron Rose Aaron Rose Follow Dec 2 '25 The Secret Life of Go: Interfaces # go # coding # programming # softwaredevelopment 7 reactions Comments Add Comment 8 min read Python by Structure: Property Decorators and Managed Attributes Aaron Rose Aaron Rose Aaron Rose Follow Dec 1 '25 Python by Structure: Property Decorators and Managed Attributes # python # coding # programming # software 4 reactions Comments 1 comment 5 min read The Secret Life of Go: Structs Aaron Rose Aaron Rose Aaron Rose Follow Dec 1 '25 The Secret Life of Go: Structs # go # coding # programming # softwaredevelopment 8 reactions Comments Add Comment 8 min read The Secret Life of Go: Maps Aaron Rose Aaron Rose Aaron Rose Follow Nov 29 '25 The Secret Life of Go: Maps # go # coding # programming # softwaredevelopment 6 reactions Comments Add Comment 7 min read The Secret Life of Go: Arrays and Slices Aaron Rose Aaron Rose Aaron Rose Follow Nov 28 '25 The Secret Life of Go: Arrays and Slices # go # coding # programming # softwaredevelopment 3 reactions Comments Add Comment 8 min read Python by Structure: How Decorators Transform Classes Aaron Rose Aaron Rose Aaron Rose Follow Nov 27 '25 Python by Structure: How Decorators Transform Classes # python # coding # programming # softwaredevelopment 3 reactions Comments 1 comment 5 min read The Secret Life of Python: Attribute Lookup Secrets Aaron Rose Aaron Rose Aaron Rose Follow Nov 27 '25 The Secret Life of Python: Attribute Lookup Secrets # python # coding # programming # softwaredevelopment 2 reactions Comments Add Comment 16 min read The Secret Life of Go: Functions Aaron Rose Aaron Rose Aaron Rose Follow Nov 25 '25 The Secret Life of Go: Functions # go # coding # programming # softwaredevelopment 6 reactions Comments 1 comment 8 min read The Secret Life of Go: Variables & Types Aaron Rose Aaron Rose Aaron Rose Follow Nov 25 '25 The Secret Life of Go: Variables & Types # python # coding # programming # softwaredevelopment 5 reactions Comments Add Comment 10 min read The Secret Life of Go Aaron Rose Aaron Rose Aaron Rose Follow Nov 22 '25 The Secret Life of Go # go # coding # programming # softwaredevelopment 13 reactions Comments 4 comments 10 min read Python by Structure - Class-Based Decorators That Remember Aaron Rose Aaron Rose Aaron Rose Follow Nov 21 '25 Python by Structure - Class-Based Decorators That Remember # python # coding # programming # softwaredevelopment 4 reactions Comments Add Comment 3 min read The Secret Life of Python: Bytecode Secrets - What Python Really Runs Aaron Rose Aaron Rose Aaron Rose Follow Nov 20 '25 The Secret Life of Python: Bytecode Secrets - What Python Really Runs # python # coding # programming # softwaredevelopment 3 reactions Comments Add Comment 26 min read Python by Structure: Decorator Chains and Execution Order Aaron Rose Aaron Rose Aaron Rose Follow Nov 20 '25 Python by Structure: Decorator Chains and Execution Order # python # coding # programming # softwaredevelopment 5 reactions Comments Add Comment 5 min read The Secret Life of Python: MRO Secrets - The Diamond Problem Solved Aaron Rose Aaron Rose Aaron Rose Follow Nov 19 '25 The Secret Life of Python: MRO Secrets - The Diamond Problem Solved # python # coding # programming # softwaredevelopment 3 reactions Comments Add Comment 24 min read Python by Structure: Match Statements and Pattern Guards Aaron Rose Aaron Rose Aaron Rose Follow Nov 19 '25 Python by Structure: Match Statements and Pattern Guards # python # coding # programming # softwaredevelopment 3 reactions Comments Add Comment 6 min read The Secret Life of Python: GIL Secrets - Python's Threading Mystery Aaron Rose Aaron Rose Aaron Rose Follow Nov 18 '25 The Secret Life of Python: GIL Secrets - Python's Threading Mystery # python # coding # programming # softwaredevelopment 5 reactions Comments 2 comments 21 min read Python by Structure: The Walrus Operator - Assignment Where You Need It Aaron Rose Aaron Rose Aaron Rose Follow Nov 18 '25 Python by Structure: The Walrus Operator - Assignment Where You Need It # python # coding # programming # softwaredevelopment 10 reactions Comments Add Comment 4 min read Python by Structure: Context Managers and the With Statement Aaron Rose Aaron Rose Aaron Rose Follow Nov 16 '25 Python by Structure: Context Managers and the With Statement # python # coding # programming # softwaredevelopment 4 reactions Comments Add Comment 4 min read Python by Structure: Generator Delegation with Yield From Aaron Rose Aaron Rose Aaron Rose Follow Nov 16 '25 Python by Structure: Generator Delegation with Yield From # python # coding # programming # softwaredevelopment Comments Add Comment 4 min read The Secret Life of Python: Metaclass Secrets - Classes That Create Classes Aaron Rose Aaron Rose Aaron Rose Follow Nov 15 '25 The Secret Life of Python: Metaclass Secrets - Classes That Create Classes # python # coding # programming # software Comments Add Comment 13 min read Python by Structure: The For/Else Block You Didn't Know Existed Aaron Rose Aaron Rose Aaron Rose Follow Nov 14 '25 Python by Structure: The For/Else Block You Didn't Know Existed # python # coding # programming # softwaredevelopment 5 reactions Comments 5 comments 3 min read Python by Structure: The Try/Else Block You're Not Using Aaron Rose Aaron Rose Aaron Rose Follow Nov 14 '25 Python by Structure: The Try/Else Block You're Not Using # python # coding # programming # software 6 reactions Comments Add Comment 3 min read The Secret Life of Python: Descriptor Secrets - How Properties Really Work Aaron Rose Aaron Rose Aaron Rose Follow Nov 14 '25 The Secret Life of Python: Descriptor Secrets - How Properties Really Work # python # coding # programming # softwaredevelopment 2 reactions Comments Add Comment 16 min read The Secret Life of Python: Context Manager Secrets - The Magic of `with` Aaron Rose Aaron Rose Aaron Rose Follow Nov 13 '25 The Secret Life of Python: Context Manager Secrets - The Magic of `with` # python # coding # programming # software 4 reactions Comments Add Comment 14 min read The Secret Life of Python: Decorator Secrets - Functions That Wrap Functions Aaron Rose Aaron Rose Aaron Rose Follow Nov 12 '25 The Secret Life of Python: Decorator Secrets - Functions That Wrap Functions # python # coding # programming # softwaredevelopment 3 reactions Comments Add Comment 14 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/scale_youtube/ndc-conferences-optimize-your-internal-os-and-minimize-compatibility-issues-at-work-alice-3484 | NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Scale YouTube Posted on Nov 27, 2025 NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career # performance Ever wondered why collaborating with certain colleagues feels like you’re on different planets? In her NDC Copenhagen talk, Alice Meredith explains that we all run our own “HumanOS”—a unique blend of personality traits, hardwired strengths and default reactions—and mismatches can cause friction or unexpected “system errors” at work. She shows you how to decode your internal OS using tools like Gallup Strengths, the Enneagram and The People Code; identify and patch your stress, feedback and conflict defaults; and even leverage AI as a personal coach. You’ll walk away with a clear system map and practical digital tools to tune your settings and collaborate smoothly, no matter which OS your teammates are on. Watch on YouTube Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Scale YouTube Follow Joined Aug 2, 2025 More from Scale YouTube NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#cursor | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#replit | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#conclusion | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#how-to-compare-ai-coding | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#cursor-over-replit | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#replit-over-cursor | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dev.to/challenges/kendoreact-2025-09-10#main-content | KendoReact Free Components Challenge - DEV Challenge - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Forem Close Challenges > KendoReact Free Components Challenge CHALLENGE RESULTS 🏆 Winners Announced! 🎊 Congrats to the latest KendoReact Free Components Challenge Winners! Read Announcement Challenge ends soon! Submit your entry now DAYS : HOURS : MINUTES : SECONDS See prompts KendoReact Free Components Challenge View Entries Please sign in to follow this challenge Build without boundaries! Challenge Status: Ended Ended Join our next Challenge We're excited to announce the return of a beloved challenge! Running through September 28 , our latest KendoReact Free Components Challenge invites you to explore KendoReact's free UI components and discover how their AI tools can accelerate your workflow. With 50+ free components available, you'll have everything you need to build a polished, high-performing and accessible application. There are three ways to win this challenge! We'll select one overall prompt winner and a winner for each additional prize category. Each winner will receive: $1,000 USD Exclusive DEV Badge DEV++ Membership All Participants with a valid submission will receive a completion badge on their DEV profile. Key Dates Contest start: September 10, 2025 Submissions due: September 28, 2025 Winners announced: October 09, 2025 Badge Rewards Challenge Completion Badge Challenge Winner Badge Find Out More Ask questions and share your ideas on the KendoReact Free Components Challenge Launch Post. View Launch Post Sponsored by Progress Master the art of React UI with the only React component library you need! KendoReact is a professional UI kit on a mission to help you design & build beautiful apps with React much faster. Learn More → Challenge Prompt Build Without Boundaries For this challenge, what you build is entirely up to you as long as you build a React app of your choice that utilizes at least 10 free KendoReact UI components . Show us your creativity and demonstrate the versatility of KendoReact's component library! Additional Prize Categories In addition to our overall prompt, submissions may qualify for two additional prize categories: Code Smarter, Not Harder : Use the KendoReact AI Coding Assistant to help build part (or all) of your app. Start a 30-day free trial (no credit card required) and make sure to describe where and how you used the AI Coding Assistant in your submission! RAGs to Riches : There's a brand new member of the Progress family: Nuclia ! This RAG-as-a-service tool makes deploying Agentic RAG a breeze. Include it in your app (requires starting a 14-day trial, no credit card required), share your experience, and qualify for this additional prize category! How To Participate In order to participate, you will need to publish a post using our submission template below. You are welcome to use any framework as long as the UI is powered by React, and you include at least 10 KendoReact Free Components in your submission. Submission Template Judging Criteria: Use of underlying technology Usability and User Experience Accessibility Creativity Helpful Links & Resources We encourage all participants to join the Progress Labs Discord to connect with others building with KendoReact and Nuclia. This is a place to find teammates, ask questions, or just chat! Helpful Links KendoReact Free Components KendoReact Documentation React AI Coding Assistant Nuclia RAG Platform Nuclia Documentation Frequently Asked Questions Participation Can I submit to multiple prompts? Yes, you are welcome to submit to multiple prompts. Can one submission qualify for multiple prompts? Yes, if your submission offers a solution to multiple prompts, it can qualify for multiple prompts. Can I submit to a prompt more than once? Yes, you can submit multiple submissions per prompt but you'll need to publish a separate post for each submission. In the event that you may win two or more prompts, and your submission is very close with another participant, we will favor the other participant. In the event that you do win two or more prompts, you will only receive one winner badge. Can I work on a team? Yes, you can work on teams of up to four people. If you collaborate with anyone, you'll need to list their DEV handles in your submission post so we can award a badge to your entire team! Please only publish one submission per team. DEV does not handle prize-splitting, so in the event that your submission wins the cash prize, you will need to split that amongst yourselves. Thank you for understanding! How old do I have to be to participate? Participants need to be 18+ in order to participate. If I live in X, am I eligible to participate? For eligibility rules, see our official challenge rules . Submission Can my submission include open source code? Riffing on open source code and borrowing and improving on previous work/ideas is encouraged but it's important your changes are significant enough to ensure your submission is valid. When does riffing become plagiarism? It will depend, but transparency is important, license compatibility is important. You can use someone else's code to give you a jumpstart to demonstrate your ideas on top of someone else's base, but not just re-package the base. It should be clear to the judges what you added to the project in terms of the code and conceptual inspiration. This means, you should clearly state what you were building on and what elements are original to this new submission. When building on existing code, we expect a significant change that adds something tangible to the output. i.e. a new animation, and new sprite, a new function, a new presentation. Not just changes to the source - i.e. changing colours, changing one sprite, changing one function. What happens if my submission is considered plagiarized or invalid? Anything deemed to be plagiarism will not be eligible for prizes. Incidental plagiarism may simply result in your disqualification from the challenge (regardless of the number of other valid submissions you have published). Egregious plagiarism will result in your suspension from DEV entirely. Any non-generic, non-trivial usage of prior work, including open source code must be credited in your submission. Do submissions have to be in English? Non-english submissions are eligible for a completion badge but not eligible for prizes due to the current limitations of our judges. We will not be judging on mastery of the English language, so please don't let this deter you from submitting if you are not a native English speaker! We hope to evolve this in the future to be more accommodating. Do I need a license for my code? You are not required to license your code but we strongly recommend that you do. Here are some you may consider: MIT , Apache , BSD-2 , BSD-3 , or Commons Clause . Can I use AI? Use of AI is allowed as long as all other rules are followed. We want to give you a chance to show off your skills in realistic scenarios. If you use AI tools to help you achieve your submission, all the power to you. How do I embed my project directly into my DEV post? Our editor supports many types of embeds, including: Stackbliz, Glitch, Github, etc. You can typically use the {% embed https://... %} syntax directly in the post. Click here for more information on our markdown support. For CodePen, you will need to use this syntax: {% codepen http://... %} For CodeSandbox, you will need to use this syntax: {% codesandbox http://... %} Judging and Prizing Can there be ties? In the event of a tie in scoring between judges, the judges will select the entry that received the highest number of positive reactions on their DEV post to determine the winner. How will I know if I won? Winners will be announced in a DEV post on the winner announcement date noted in our key dates section. When will I receive my DEV badge? Both participation and winner badges will be awarded, in most cases, the same day as the winner announcement. When will I receive my prizes? The DEV Team will contact you via the email associated with your DEV profile within, at most, 10 business days of the announcement date to share the details of claiming your prizes. What steps do I need to take to receive my cash prize? The winner (including each member of a team) may be required to sign and return an affidavit of eligibility and publicity/liability release, and provide any additional tax filing information (such as a W-9, social security number or Federal tax ID number) within seven (7) business days following the date of your first email notification. KendoReact Free Components Challenge Rules NO PURCHASE NECESSARY. Open only to 18+. Contest entry period begins September 10, 2025 at 9:00 AM PDT and ends September 28, 2025 at 11:59 PM PDT. Contest is void where prohibited or restricted by law or regulation. All entries must be submitted during the contest period. For Official Rules, see KendoReact Free Components Challenge Contest Rules and General Contest Official Rules . Dismiss 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Forem — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Forem © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/challenges/auth0-2025-10-08#main-content | Auth0 for AI Agents Challenge - DEV Challenge - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Challenges > Auth0 for AI Agents Challenge CHALLENGE RESULTS 🏆 Winners Announced! 🎊 Congrats to the Winners of the Auth0 for AI Agents Challenge! Read Announcement Challenge ends soon! Submit your entry now DAYS : HOURS : MINUTES : SECONDS See prompts Auth0 for AI Agents Challenge View Entries Please sign in to follow this challenge Secure AI agents, humans, and whatever comes next! Challenge Status: Ended Ended Join our next Challenge We're excited to announce our newest challenge with Auth0 , a leading authentication and authorization platform! Running through October 26 , the Auth0 for AI Agents Challenge invites you to ship AI agents with built-in auth and security. Auth0 enables your AI agents to more securely access your tools, workflows, and users' data with fine-grained control and just a few lines of code. Whether you're building your first AI agents or your hundredth, this challenge is the perfect opportunity to explore the intersection of identity management and artificial intelligence. Prizes We'll select three winners for this challenge. Each winner will receive: $1,000 USD Exclusive DEV Badge DEV++ Membership All Participants with a valid submission will receive a completion badge on their DEV profile. How To Participate In order to participate, you will need to create an Auth0 account and enable Auth0 for AI Agents. To submit, publish a post using the submission template below. All projects must be deployed and functional. If your app requires logging in, please provide testing credentials in your submission and/or clear instructions on how to test your application for judges. Please review our judging criteria, rules, guidelines, and FAQ page before submitting so you understand our participation guidelines and official contest rules such as eligibility requirements. Key Dates Contest start: October 08, 2025 Submissions due: October 26, 2025 Winners announced: November 06, 2025 Badge Rewards Auth0 Challenge Winner Badge Auth0 Challenge Completion Badge Find Out More Ask questions and share your ideas on the Auth0 for AI Agents Challenge Launch Post. View Launch Post Sponsored by Auth0 Auth0® takes a modern approach to identity and enables organizations to provide secure access to any application, for any user. Auth0 is a highly customizable product that is as simple as development teams want, and as flexible as they need. Safeguarding billions of login transactions each month, Auth0 delivers convenience, privacy, and security so customers can focus on innovation. Auth0 is a part of Okta, Inc., The World's Identity Company™. Learn More → Challenge Prompt Build an Agentic AI Application Your mission is to build an agentic AI application using Auth0 for AI Agents . Whether you're building conversational agents, autonomous systems, or intelligent automation tools, your AI agents need secure access to resources and services. Auth0 for AI will ensure you can: Authenticate the user: Secure the human who is prompting the agent in the first place. Control the tools: Manage which APIs your agent can call on the user's behalf with their Token Vault Limit knowledge: Apply fine-grained authorization directly to your RAG pipelines. Your submission should demonstrate how Auth0 for AI Agents enhances your application's security posture while enabling seamless interactions between AI agents and protected resources. The most compelling submissions will showcase practical use cases where secure AI agent authentication solves real-world problems! Submission Template Judging Criteria: Use of underlying technology Project Use Case Usability and User Experience Creativity Helpful Links & Resources Get to know Auth0 through their documentation and resources: Auth0 for AI Agents Documentation How-To Guides MCP Authentication Guide Auth0 Developer Center Connect: Follow @auth0 on X LinkedIn GitHub Frequently Asked Questions Participation Can I submit to the challenge more than once? Yes, you can submit multiple submissions but you'll need to publish a separate post for each submission. Can I work on a team? Yes, you can work on teams of up to four people. If you collaborate with anyone, you'll need to list their DEV handles in your submission post so we can award a badge to your entire team! Please only publish one submission per team. DEV does not handle prize-splitting, so in the event that your submission wins the cash prize, you will need to split that amongst yourselves. Thank you for understanding! How old do I have to be to participate? Participants need to be 18+ in order to participate. If I live in X, am I eligible to participate? For eligibility rules, see our official challenge rules . Submission Can I update my submission after the submission due date? No, please do not update your submission during the judging period. Can my submission include open source code? Riffing on open source code and borrowing and improving on previous work/ideas is encouraged but it's important your changes are significant enough to ensure your submission is valid. When does riffing become plagiarism? It will depend, but transparency is important, license compatibility is important. You can use someone else's code to give you a jumpstart to demonstrate your ideas on top of someone else's base, but not just re-package the base. It should be clear to the judges what you added to the project in terms of the code and conceptual inspiration. This means, you should clearly state what you were building on and what elements are original to this new submission. When building on existing code, we expect a significant change that adds something tangible to the output. i.e. a new animation, and new sprite, a new function, a new presentation. Not just changes to the source - i.e. changing colours, changing one sprite, changing one function. What happens if my submission is considered plagiarized or invalid? Anything deemed to be plagiarism will not be eligible for prizes. Incidental plagiarism may simply result in your disqualification from the challenge (regardless of the number of other valid submissions you have published). Egregious plagiarism will result in your suspension from DEV entirely. Any non-generic, non-trivial usage of prior work, including open source code must be credited in your submission. Do submissions have to be in English? Non-english submissions are eligible for a completion badge but not eligible for prizes due to the current limitations of our judges. We will not be judging on mastery of the English language, so please don't let this deter you from submitting if you are not a native English speaker! We hope to evolve this in the future to be more accommodating. Do I need a license for my code? You are not required to license your code but we strongly recommend that you do. Here are some you may consider: MIT , Apache , BSD-2 , BSD-3 , or Commons Clause . Can I use AI? Use of AI is allowed as long as all other rules are followed. We want to give you a chance to show off your skills in realistic scenarios. If you use AI tools to help you achieve your submission, all the power to you. How do I embed my project directly into my DEV post? Our editor supports many types of embeds, including: Stackbliz, Glitch, Github, etc. You can typically use the {% embed https://... %} syntax directly in the post. Click here for more information on our markdown support. For CodePen, you will need to use this syntax: {% codepen http://... %} For CodeSandbox, you will need to use this syntax: {% codesandbox http://... %} Judging and Prizing Can there be ties? In the event of a tie in scoring between judges, the judges will select the entry that received the highest number of positive reactions on their DEV post to determine the winner. How will I know if I won? Winners will be announced in a DEV post on the winner announcement date noted in our key dates section. When will I receive my DEV badge? Both participation and winner badges will be awarded, in most cases, the same day as the winner announcement. When will I receive my prizes? The DEV Team will contact you via the email associated with your DEV profile within, at most, 10 business days of the announcement date to share the details of claiming your prizes. What steps do I need to take to receive my cash prize? The winner (including each member of a team) may be required to sign and return an affidavit of eligibility and publicity/liability release, and provide any additional tax filing information (such as a W-9, social security number or Federal tax ID number) within seven (7) business days following the date of your first email notification. Auth0 for AI Agents Challenge Rules NO PURCHASE NECESSARY. Open only to 18+. Contest entry period ends October 26, 2025 at 11:59 PM PDT. Contest is void where prohibited or restricted by law or regulation. All entries must be submitted during the contest period. For Official Rules, see Auth0 for AI Agents Challenge Contest Rules and General Contest Official Rules . Dismiss 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://vibe.forem.com/seridarivus_13/pli-710-bypassing-ai-knowledge-cutoffs-with-auto-data-synthesis-31pd | PLI 7.10 - Bypassing AI Knowledge Cutoffs with Auto-Data Synthesis - Vibe Coding Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Vibe Coding Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse seridarivus 13 Posted on Jan 10 PLI 7.10 - Bypassing AI Knowledge Cutoffs with Auto-Data Synthesis # ai # devops # api # tdd Hey everyone, I’m a student developer working on an alternative search/intelligence interface called PLI 7.10. The goal is to kill the SEO noise of modern search engines and the "knowledge cutoff" of standard LLMs. I’ve just implemented a "Self-Healing" logic that I’d love some architectural feedback on. The Logic: Instead of the AI simply saying "I don't know" when asked about recent events (e.g., Luke Littler’s 2026 stats), the backend now detects the failure and auto-triggers a @data layer. It fetches, translates (via Google API), and ranks Wikipedia + YouTube context in one loop. Tech Specs & Trade-offs: Stack: Next.js / Node.js / Vercel. Latency: It’s about 20% slower than a standard hallucinating chat, but the accuracy for "live" data is significantly higher. Data Source: Uses a multi-language Wikipedia ranker to find the most "dense" info regardless of the user's language. Current Hurdles: Vercel Cold Starts: The multi-step scraping/translation layer is hitting some latency on the first hit. UX: Does a "3+1" card layout (Wiki + Video context) feel intuitive for a dev-tool, or is it too cluttered? Link: https://pli7.vercel.app/ Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse seridarivus 13 Follow Founder and developer of PLI 7 and more Joined Jan 7, 2026 More from seridarivus 13 Why I built a search engine that limits results to exactly 4 items?! # api Why I built a search engine that limits results to exactly 4 items # ai # devops # api 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#differences | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dev.to/danny_chen/crushing-the-responsive-beast-crafting-a-pixel-perfect-ui-through-effective-buttery-smooth-scaling-54p3 | Crushing the Responsive Beast: Crafting a Pixel-Perfect UI through Effective Buttery Smooth-Scaling - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Danny Chen Posted on Apr 25, 2025 Crushing the Responsive Beast: Crafting a Pixel-Perfect UI through Effective Buttery Smooth-Scaling # webdev # kendoreact # react # frontend Part One: Experimentation & Proof-of-Concept for UI Smooth-scaling Hey guys, it's been a bumpy couple of days. For some strange reason, I haven't been feeling 100% in the last few days, so I've been focusing on bouncing back. And as of today, well, fellas...I'm officially back from feeling emo EMO. You know what that's like, right? What do you usually do to help you bounce back more quickly? Any good tips/ideas to share? Media Queries are a Thing of the Past As someone who has worked with Media Queries since the beginning, I have plenty of firsthand experience with their useful benefits and limitations. When media queries were first made available to web developers/designers, they were troublesome and often not very friendly for developers to use. But back then, it was the only available option, so there was nothing we could complain about. /* What media queries might look like. */ @media screen and (min-width: 1600px) { } @media screen and (min-width: 1440px) { } @media screen and (min-width: 1280px) { } @media screen and (min-width: 1024px) { } @media screen and (min-width: 768px) { } Enter fullscreen mode Exit fullscreen mode It is also worth noting that back then, mobile devices had a very limited range of screen sizes, and dimensions were relatively narrow. So, using media queries to set up a series of styling options didn't feel as much work as it would be today. Today, when working with any kind of customer-facing website, it is crucial to ensure that the UI can scale smoothly and dynamically. To make matters more challenging, we also have split-screen options on tablet devices. That means, when a user is dragging the view horizontally, we need to ensure that our UI doesn't feel janky. Larger Screen Estates & Wide-ranging Screen Sizes One thing that the old responsive web design standards haven't caught up with is the growing number of hardware displays that are no longer stuck in the old CRT monitor and 1024px width. Even fewer laptops come with a default 1400 x 900px resolution. For years, I have always felt like the responsive web design guidelines are still stuck in the 2010s. And it is time for us to move on. Today, we have a much larger screen estate (for nearly 80% of the world's population that faces a monitor to some degree in their daily lives). Therefore, I believe that it is way past time for us to update our responsive web design standards. Designing a UI Scaling System that is Independent on Hardware Specs and User-Controlled Scaling Factors The other thing that is becoming more and more common today is the custom scaling factors that are built into various desktop environments. For example, when I was using a laptop with a stated 3K screen resolution (i.e. 3200px), the default Windows scaling factor was 150% or 175%. I can't remember. And because of that, everything on the desktop has been scaled up. Now, the other thing that web designers and devs cannot account for, and should never depend on, is the user's web browser zoom size. I'm currently working with a 1440px monitor at home, so I often prefer to view my web pages at 150%. Now, assuming that everything at 150% looks perfect/ideal, I would then use that as a gauge for the kind of size my web app should be, regardless of the browser's zoom factor, or my desktop's zoom factor. Introducing a More Fluid, Buttery Smooth, Scaling Part of the reason I'm loving my current FocusFlow web project more and more is how simple the idea is. Working with simple ideas gives us more room to tinker and experiment, and in this case, push the boundaries of what is possible. function calcFontSettings(width: number): string { if (width >= 1600) { setBtnIconSize(Math.floor(1.65 * 20)); return "1.65rem"; } else if (width >= 768 && width < 1600) { let currScaleFactor = 1 + (((width - 768) / (1600 - 768)) * .65); setBtnIconSize(Math.round(currScaleFactor * 20)); return `${currScaleFactor}rem`; } else { // Anything smaller, we can assume to be a mobile phone. setBtnIconSize(Math.floor(0.95 * 20)); return "0.95rem"; } } Enter fullscreen mode Exit fullscreen mode What I'm showing you here in this article is something that I've been experimenting with, a way to calculate the font size, line height, and icon size that I can use for my UI in real time. It is a work in progress, but I can scale everything from the texts in a KendoReact button to the slightly more complex CircularProgressBar that I created earlier in the week. <KRButton id="btnSetFocusTime" fillMode={"solid"} themeColor={"secondary"} onClick={onSetFocusTimeClicked} className="kr-buttons" style={{ fontSize: `${btnFontSettings.fontSize}`, lineHeight: `${btnFontSettings.fontSize}`, width: "100%", height: "10%", minWidth: "150px", minHeight: "70px", maxWidth: "450px" }} > <div className="flex w-full items-center"> <Timer size={btnIconSize} />&nbsp;Set Focus Time </div> </KRButton> Enter fullscreen mode Exit fullscreen mode As you can see from the above code snippet, I have my work cut out for me this weekend. I want to enable smooth scaling for everything in my web app. So, no matter the page is width, the app will scale nicely and proportionally according to the dimensions of the layout (independent of user's screen scaling factors). Part Two: Implementation of Smooth-Scaling UI Completed Hey guys, I'm happy to be back and report that I've successfully implemented a UI with pixel-perfect smooth scaling. I initially thought scaling the CircularProgressBar would be much more challenging. But as it turned out, I may have been overthinking it quite a bit, when in fact, it is much easier to implement than I had thought. So here's what I did with it: <div className={`w-[60%] 2xl:min-w-[600px] xl:max-w-[600px] xl:min-w-[400px] min-w-[250px] aspect-square relative`}> {/* Everything else */} </div> Enter fullscreen mode Exit fullscreen mode When it comes to scaling the SVG, I found that the simplest and most elegant solution was to set a percentage for the width. And then at the different breakpoints, I will ensure that the CircularProgressBar doesn't enlarge beyond the boundaries of the left panel, or shrink too far down. Notice two things that I've specified using the Tailwindcss responsive design classes: 2xl:min-w—[600px] : This helps ensure that the width stays at the minimum viable width between transitioning from 1600px to the next breakpoint level. xl:max-w—[600px] : At the next lower breakpoint level, I also want to ensure that its max is the same as the upper level's breakpoint width. Now, when I scale, everything feels much more responsive and less janky. Please do not get me wrong; occasionally, I do appreciate using the breakpoint-style approach when working with responsive design. They still have some usefulness. But maybe they are only more helpful when dealing with certain kinds of content (e.g., graphics, photos, movies, high-level layouts, etc.). In my professional opinion and observations, when it comes to inner layouts, typography, and other UI-related dimensions, it's still better to use a form of dynamic scaling, as you saw in the previous section of this article. Closing Words So, who says that media queries are the only way to build a truly responsive web design? If any web designer or developer tries to make that statement now, you know it is a lie. Media Queries are janky in today's standards and hardware capabilities. They do still present some benefits, but those benefits diminish with time and hardware innovation. So, perhaps we need to consider some other way, a more efficient way to craft buttery smooth scaling for our UIs. Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Danny Chen Follow 🏳️🌈 A Pioneer of UX/Design Engineering 🎨👨💻 | The Father of Modern Visual Indicators 🔗✅✅◻️◻️◻️ Location Singapore Education Nanyang Polytechnic Pronouns We/Us, They/Them Work Independent Consultant Joined Jan 3, 2025 More from Danny Chen UX Engineering: From the Eyes of a Field Pioneer (2026 Edition) # ux # uxdesign # frontend Here's Why I Have Chosen to Leave the Design Industry in Singapore # ux # inclusion # frontend # career Let Me Tell You a Story About the Origins of the Humble Breadcrumb and Visual Indicators as We Know It Today # webdev # mobile # ux # frontend 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#similarities | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#why-fine | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dev.to/amiteshraikwar/bitcoin-technology-fundamentals-tutorial-4-bitcoin-improvement-proposals-2o1 | Bitcoin Technology Fundamentals - Tutorial 4 – Bitcoin Improvement Proposals - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse AMITESH RAIKWAR Posted on Nov 21, 2021 Bitcoin Technology Fundamentals - Tutorial 4 – Bitcoin Improvement Proposals # bitcoin # blockchain # cryptocurrency # digitalcurrency Youtube video - https://www.youtube.com/watch?v=5Dpxk5f6BaA Bitcoin, #cryptocurrencies, #cryptocurrency, #cryptonews, #cryptotrading, #cryptocurrencies, #cryptoadoption, #bitcointrading, #bitcoinmining, #bitcoins, #bitcoincash, #bitcoinvalue, #Bitcoin, Bitcoin Technology Fundamentals In this video series, we will cover Basic to advanced bitcoin technology. I am Amitesh Raikwar. Master of Technology in Electronics & Communication Engineering Bachelor of Engineer in Electronics & Communication Engineering I also have Blockchain certification from IBM. Issued on: 06 JAN 2019 | Issued by: IBM Verify: https://www.credly.com/go/Ulzl1eEi If you wanna support our channel please donate in the below-given link of Paypal / Paytm Paypal :- https://paypal.me/amiteshraikwar?coun ... Paytm :- Rs. 100/- - https://paytm.me/d-OGoZn Rs. 1001/- https://paytm.me/MgL-psh Rs. 5000/- https://paytm.me/PR-YL5c Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Some comments may only be visible to logged-in visitors. Sign in to view all comments. Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse AMITESH RAIKWAR Follow I am Senior Software engineer Education Master of Technology Joined Jul 15, 2021 More from AMITESH RAIKWAR Bitcoin Technology Fundamentals - Tutorial 3 – Bitcoin Mining # bitcoin # blockchain # cryptocurrency # digitalcurrency Bitcoin Technology Fundamentals - Tutorial 2 – Bitcoin Network # bitcoin # blockchain # cryptocurrency # digitalcurrency Bitcoin Technology Fundamentals - Tutorial 1 – Bitcoin Addresses # bitcoin # cryptocurrency # blockchain # digitalcurrency 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://github.com/tlakomy | tlakomy (Tomasz Łakomy) · GitHub Skip to content Navigation Menu Toggle navigation Sign in Appearance settings Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Spark Build and deploy intelligent apps GitHub Models Manage and compare prompts MCP Registry New Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI/CD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... --> Search Clear Search syntax tips Provide feedback --> We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly --> Name Query To see all available qualifiers, see our documentation . Cancel Create saved search Sign in Sign up Appearance settings Resetting focus You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} tlakomy Follow Overview Repositories 106 Projects 0 Packages 0 Stars 77 More Overview Repositories Projects Packages Stars tlakomy Follow 🤠 Building https://cloudash.dev Tomasz Łakomy tlakomy 🤠 Building https://cloudash.dev Follow Member of Technical Staff @ Runway, Building https://cloudash.dev 204 followers · 15 following Cloudash Poznań, Poland https://cloudash.dev X @tlakomy Achievements x3 x4 Achievements x3 x4 Block or Report Block or report tlakomy --> Block user Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users . You must be logged in to block users. Add an optional note Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you. Block user Report abuse Contact GitHub support about this user’s behavior. Learn more about reporting abuse . Report abuse Overview Repositories 106 Projects 0 Packages 0 Stars 77 More Overview Repositories Projects Packages Stars Pinned Loading cloudashdev/ cloudash cloudashdev/cloudash Public A monitoring and troubleshooting desktop app for serverless architectures. 105 3 egghead-aws-cdk-workshop egghead-aws-cdk-workshop Public Source code for my egghead.io AWS CDK workshop TypeScript 19 5 egghead-react-360-course egghead-react-360-course Public Initial lesson draft for upcoming React 360 course JavaScript 1 1 eggheadio-projects/ vr-applications-using-react-360 eggheadio-projects/vr-applications-using-react-360 Public JavaScript 13 10 tlakomy.com tlakomy.com Public Source for Tomasz Łakomy's personal site JavaScript 1 1 cloudwatch-inclights cloudwatch-inclights Public CloudWatch InCLIghts JavaScript Something went wrong, please refresh the page to try again. If the problem persists, check the GitHub status page or contact support . Uh oh! There was an error while loading. Please reload this page . Footer © 2026 GitHub, Inc. Footer navigation Terms Privacy Security Status Community Docs Contact Manage cookies Do not share my personal information You can’t perform that action at this time. | 2026-01-13T08:49:41 |
https://dev.to/budventure_technologies_5/adding-ai-too-early-is-a-system-design-smell-2fjn#comments | Adding AI Too Early Is a System Design Smell - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Kajol Shah Posted on Jan 9 • Originally published at budventure.technology Adding AI Too Early Is a System Design Smell # ai # systemdesign # software # startup If you’re building a startup in 2026, there’s a quiet pressure to add AI everywhere. From a technical standpoint, that pressure often shows up as “Let’s add recommendations.” “We’ll make it AI-powered later.” “We can train a model once we have the data.” Most of the time, that’s a red flag—not ambition. What AI Changes Architecturally AI introduces: Non-deterministic behavior Data pipelines that must stay clean Monitoring beyond logs and exceptions Failure modes that aren’t obvious during testing That’s fine when the system is stable. It’s painful when: APIs change weekly Schemas aren’t locked Business logic isn’t settled If your product logic changes faster than your model can learn, AI becomes noise. Automation vs AI (From a Builder’s POV) Ask this before proposing AI: Can this be expressed as rules? Are edge cases actually rare? Would a cron job + queue solve 80% of this? If yes, automation wins. AI is justified when: Rules collapse under variation Outcomes depend on patterns, not states Accuracy improves with more data over time That’s a post-MVP condition. The Data Illusion Early-stage startups often say: “We’ll collect data later.” But the models trained on: Sparse data Biased early users Manual workarounds …don’t magically get better. They reinforce bad assumptions. A Practical Heuristic From a systems perspective: Stable inputs → software Predictable repetition → automation Unstable patterns at scale → AI Anything else is premature optimization. If You’re a CTO or Tech Founder Before committing to AI: Lock schemas Stabilize workflows Measure behavior manually Prove that the bottleneck exists AI should remove friction — not create new ones. I recently documented a full AI decision framework for founders and tech leads planning 2026 roadmaps: TL;DR AI is powerful. But in early systems, clarity beats intelligence every time. Top comments (1) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Kajol Shah Kajol Shah Kajol Shah Follow With 8+ years of hands-on experience, I run a Creative Agency for businesses seeking impactful web & mobile applications, software solutions, graphic design, digital marketing and AR/VR applications. Education University of Michigan - Dearborn Work CEO at Budventure Technologies Joined Feb 25, 2025 • Jan 11 Dropdown menu Copy link Hide I’ve seen teams add ML before they could explain the system behavior in plain English. Once you can’t describe it with rules anymore, AI starts making sense. Until then, it usually adds risk. Like comment: Like comment: 1 like Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Kajol Shah Follow With 8+ years of hands-on experience, I run a Creative Agency for businesses seeking impactful web & mobile applications, software solutions, graphic design, digital marketing and AR/VR applications. Education University of Michigan - Dearborn Work CEO at Budventure Technologies Joined Feb 25, 2025 More from Kajol Shah I’ve Seen 3 Mobile App Builds Fail the Same Way (Here’s the Pattern) # startup # mobile # career # freelance The 15-Minute Call Script to Vet a Mobile App Agency (Steal This) # startup # mobile # webdev # productivity What’s your biggest red flag when a startup hires an app dev agency? # discuss # startup # mobile # management 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/t/elysia | Elysia - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close # elysia Follow Hide Create Post Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu New modern stack for fullstack apps Dmitry Bikishov Dmitry Bikishov Dmitry Bikishov Follow Nov 8 '25 New modern stack for fullstack apps # bunjs # elysia # vue # drizzle 6 reactions Comments 1 comment 3 min read Elysia: O melhor web framework Matheus Lucas Matheus Lucas Matheus Lucas Follow Sep 21 '25 Elysia: O melhor web framework # bunjs # elysia # beginners # node Comments Add Comment 6 min read 🐺 REST APIs with Elysia.js 🌿 James Robert Lund III James Robert Lund III James Robert Lund III Follow Mar 25 '24 🐺 REST APIs with Elysia.js 🌿 # elysia # bunjs # api # webdev 23 reactions Comments 5 comments 6 min read Elysia: A Bun-first Web Framework Urmalveer Singh Urmalveer Singh Urmalveer Singh Follow Feb 5 '24 Elysia: A Bun-first Web Framework # webdev # bunjs # elysia # beginners 76 reactions Comments 16 comments 3 min read Introducing ElysiaJS: A Professional Web Framework Anil K Tiwari Anil K Tiwari Anil K Tiwari Follow Sep 12 '23 Introducing ElysiaJS: A Professional Web Framework # webdev # javascript # elysiajs # elysia 5 reactions Comments Add Comment 3 min read Add JWT Authentication in Bun API Harsh Mangalam Harsh Mangalam Harsh Mangalam Follow Jun 11 '23 Add JWT Authentication in Bun API # bunjs # elysia # typescript # prisma 24 reactions Comments 8 comments 5 min read Making own nuxt-like framework with bun LowByteFox LowByteFox LowByteFox Follow Jun 10 '23 Making own nuxt-like framework with bun # bunjs # buchta # elysia # vue 9 reactions Comments Add Comment 8 min read loading... trending guides/resources New modern stack for fullstack apps 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#pricing | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#cursor | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#similarities | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dev.to/kaichat/luna-api-buit-with-xano-backend-3keg | Luna API buit with Xano Backend - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Abdul Ali Posted on Dec 11, 2025 Luna API buit with Xano Backend # devchallenge # xanochallenge # api # backend Xano AI-Powered Backend Challenge: Public API Submission How I Built a Developer Opportunity API in 3 Days with Xano + AI An AI-powered API that matches developers with hackathons, jobs, and grants - built for the Xano Challenge The Problem I was tired of manually searching 10+ platforms every week: DevPost for hackathons LinkedIn for jobs Various grant databases Twitter for announcements Why isn't there ONE API that aggregates all of this and tells me what's actually relevant to MY skills? So I built one. In 3 days. What I Built The Developer Opportunity Aggregator API is a RESTful API that: Aggregates hackathons, jobs, grants, scholarships, and learning resources Matches opportunities to your developer profile using an intelligent algorithm Ranks results by how well they fit YOUR skills, experience, and interests First AI Prompt used to almost fully build out the whole api backend Build this API in Xano exactly as specified in this plan. Start with the database schema, then build endpoints in this order:[attached the plan thats in the project root]. Use XanoScript for the matching algorithm logic. The Magic: Smart Matching Instead of just filtering, the API calculates a match score (0-100) for each opportunity: { "title" : "AI Hackathon 2025" , "match_score" : 92 , "match_reasons" : [ "Matches 3/4 required skills (TypeScript, Python, AI/ML)" , "Experience level is perfect fit (Advanced)" , "Aligns with 2/3 interests (AI, Backend)" ] } Enter fullscreen mode Exit fullscreen mode The algorithm weights: Skills Match (40%) - Do your skills match the requirements? Experience Level (30%) - Are you qualified? Interest Alignment (20%) - Does it match what you're looking for? Location (10%) - Remote-friendly? Relocation works? The Tech Stack Xano - No-code backend for database + API AI-Assisted Development - Generated initial endpoint logic OpenAPI 3.1 - Full documentation spec Why Xano? I needed to ship fast. Xano let me: Design database schema visually Build REST endpoints without writing server code Focus on business logic (the matching algorithm) Key Endpoints 1. Register Developer Profile curl -X POST "https://api.example.com/api:v1/developers_register" \ -d '{ "email": "dev@example.com", "skills": ["TypeScript", "React", "Python"], "experience_level": "advanced", "interests": ["AI", "Backend"] }' Enter fullscreen mode Exit fullscreen mode 2. Get Personalized Matches curl "https://api.example.com/api:v1/opportunities_matching?developer_id=YOUR_ID" Enter fullscreen mode Exit fullscreen mode Returns opportunities sorted by match score! 3. Search with Filters curl "https://api.example.com/api:v1/opportunities_search?type=hackathon&skills=Python" Enter fullscreen mode Exit fullscreen mode The Matching Algorithm Here's the core logic (simplified): function calculateMatchScore ( developer , opportunity ) { let score = 0 ; // Skills (40% weight) const matchedSkills = intersection ( developer . skills , opportunity . required_skills ); score += ( matchedSkills . length / opportunity . required_skills . length ) * 40 ; // Experience (30% weight) if ( developer . level >= opportunity . required_level ) { score += 30 ; } else { score += 15 ; // partial credit } // Interests (20% weight) const matchedInterests = intersection ( developer . interests , opportunity . category ); score += ( matchedInterests . length / opportunity . category . length ) * 20 ; // Location (10% weight) if ( opportunity . remote || developer . willing_to_relocate ) { score += 10 ; } // Deadline bonus if ( daysUntilDeadline < 3 ) { score += 5 ; } return Math . min ( score , 100 ); } Enter fullscreen mode Exit fullscreen mode What I Learned 1. Data modeling is everything Spent the first day just designing the schema. Worth it. 2. Test as you build Created a Postman collection alongside development. Caught bugs early. 3. AI accelerates, doesn't replace AI helped generate boilerplate. I still had to: Fix edge cases Handle null values properly Debug UUID parsing errors What's Next? [ ] Connect real data sources (DevPost API, GitHub Jobs) [ ] Add email notifications for high-match opportunities [ ] Build a simple frontend Try It Yourself API Documentation : Documentation Live API : https://xmsx-hkkx-nz6p.n7e.xano.io/api:v1 GitHub : Github Postman Collection : Postman Thanks for Reading! If you're building something similar or have questions about the Xano + AI workflow, drop a comment below! Built for the Xano AI-Powered Backend Challenge 2025 xano #api #ai #hackathon #buildingpublic Top comments (1) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Andrew Haire Andrew Haire Andrew Haire Follow Joined Sep 12, 2025 • Dec 19 '25 Dropdown menu Copy link Hide Excellent project and idea @kaichat ! Like comment: Like comment: 1 like Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Abdul Ali Follow Joined Aug 2, 2025 Trending on DEV Community Hot How to Crack Any Software Developer Interview in 2026 (Updated for AI & Modern Hiring) # softwareengineering # programming # career # interview I Built an AI-Powered Trend Analysis Tool Using the Virlo API (Here's How It Works) # python # ai # api # news Top 7 Featured DEV Posts of the Week # top7 # discuss 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#core-differences | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#why-you-should-be-using-ai-code-review-tools | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#githubcopilot-ai-coding-llm | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#introduction | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/announcing-fine-for-startups#pricing | Announcing Fine for Startups - Your Junior Full-Stack Developer for $15/Month Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Announcing Fine for Startups - Your Junior Full-Stack Developer for $15/Month Today, we're excited to announce Fine for Startups – a dedicated AI coding agent designed specifically for small teams and founders. Starting at just $15/month, Fine acts as your AI full-stack engineer, taking work off your shoulders, helping you build faster and smarter while keeping your budget intact. The Perfect Addition to Your Startup Team Every startup knows the challenge: too many features to build, too little time, and limited resources. That's where Fine comes in. It's not just another AI coding assistant – it's a full-fledged AI team member that can handle both frontend and backend development tasks, working asynchronously alongside your team to help clear that growing backlog. Real-world Project Ready Unlike other AI solutions that work best with toy projects, Fine is built to handle the complexity of real-life SaaS applications. From React components to API endpoints, Fine understands modern web architectures and can work across your entire stack. True Full-Stack Capabilities: Go Beyond Frontend Development Fine excels across your entire application stack, bringing expertise to both frontend refinement and backend development. On the frontend, Fine helps perfect your product's user experience, implementing new features and polishing your UI. But Fine equally shines in backend development. Unlike simple app builders, Fine is for working on complete, production-ready backend systems. It implements complex business logic in Python, Go, or Node.js, crafts robust API endpoints, and handles everything from authentication to caching. Live Previews: AI That Is Easy To Verify Fine doesn't just write code – it tests it. With built-in cloud development environments, Fine can validate its work in real-time. Each change is built and compiled to catch errors early. For frontend changes, Fine generates shareable live previews so you and your team can see exactly how new features will look and behave before merging. Built for Startup Speed: Async & Always Available Fine works in parallel, tackling your development backlog. Review progress and provide feedback from anywhere, even from your phone while on-the-go. Multiple Fine agents can work simultaneously on different tasks, multiplying your development velocity without multiplying your costs. This is a game-changer for developer productivity. No longer do you need to sit idly while the AI works. You can switch to other tasks, attend meetings, or even solve issues on your mobile phone during your commute. By the time you're back at your desk, a pull request will wait for you. Delegate Work to AI From Everywhere You can offload tasks to Fine from everywhere you are. Use Linear to assign issues to devs? Assign it to Fine, the same way. Tag colleagues whilst reviewing PRs in GitHub? Tag Fine, just like you’re used to. Discuss issues on Slack? Mention Fine. Pricing That Makes Sense Designed to help you with maximum ROI, Fine’s subscription is all-inclusive, with endless features, unlimited messages and no need for your own API keys. Startups are looking for effective, low-cost tools and that’s what Fine offers. For $15 per month, users can connect unlimited repositories, use premium LLMs such as Claude 3.5 Sonnet and resolve as many tasks as you like. Fine also offers a forever-free plan, where users just getting started can try out the platform on one repository, with 7 messages per day, using GPT-4o. Fine’s Pro subscription is 30X cheaper than the nearest competitor which comes in at a whopping $500 for similar features - making it the accessible choice for startups and founders. Get Started Today Ready to expand your team with AI? Start your free trial and see how Fine can help you ship faster while maintaining quality. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#context-window-and-performance | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#cursor-ai-coding-llm | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://popcorn.forem.com/t/netflix#main-content | Netflix - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close # netflix Follow Hide Netflix originals and catalog Create Post Older #netflix posts 1 2 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Ringer Movies: How To Save Movies With the CEO of AMC Theatres | The Town Movie News Movie News Movie News Follow Sep 1 '25 Ringer Movies: How To Save Movies With the CEO of AMC Theatres | The Town # movies # streaming # netflix # analysis Comments Add Comment 1 min read Ringer Movies: How To Save Movies With the CEO of AMC Theaters | The Town Movie News Movie News Movie News Follow Sep 1 '25 Ringer Movies: How To Save Movies With the CEO of AMC Theaters | The Town # movies # streaming # netflix # marketing Comments Add Comment 1 min read As Stephen Colbert Signs Off For 'Late Show' Summer Hiatus, He Says: “Netflix, Call Me I'm Available In June” TV News TV News TV News Follow Aug 12 '25 As Stephen Colbert Signs Off For 'Late Show' Summer Hiatus, He Says: “Netflix, Call Me I'm Available In June” # talkshows # tv # netflix # streaming Comments Add Comment 1 min read 'One Piece' Renewed for Season 3 on Netflix TV News TV News TV News Follow Aug 12 '25 'One Piece' Renewed for Season 3 on Netflix # netflix # streaming # tv # anime Comments Add Comment 1 min read ‘Wednesday' Season 2 Review: Jenna Ortega Gets Lost Amid Addams Family Mayhem in Overcrowded Netflix Return TV News TV News TV News Follow Aug 8 '25 ‘Wednesday' Season 2 Review: Jenna Ortega Gets Lost Amid Addams Family Mayhem in Overcrowded Netflix Return # reviews # tv # netflix # streaming Comments Add Comment 1 min read ‘Wednesday' Season 2 Review: Jenna Ortega Gets Lost Amid Addams Family Mayhem in Overcrowded Netflix Return TV News TV News TV News Follow Aug 7 '25 ‘Wednesday' Season 2 Review: Jenna Ortega Gets Lost Amid Addams Family Mayhem in Overcrowded Netflix Return # reviews # tv # netflix # streaming Comments Add Comment 1 min read '3 Body Problem' Season 2 Begins Filming TV News TV News TV News Follow Aug 5 '25 '3 Body Problem' Season 2 Begins Filming # netflix # scifi # tv # casting Comments Add Comment 1 min read Meghan Markle and Prince Harry's $100 Million Netflix Deal Won't Be Renewed TV News TV News TV News Follow Jul 29 '25 Meghan Markle and Prince Harry's $100 Million Netflix Deal Won't Be Renewed # netflix # streaming # celebrities # hollywood Comments Add Comment 1 min read Guillermo Del Toro's 'Frankenstein' has a runtime of 2 hours and 29 minutes. Movie News Movie News Movie News Follow Jul 22 '25 Guillermo Del Toro's 'Frankenstein' has a runtime of 2 hours and 29 minutes. # netflix # movies # horror # releasedates Comments Add Comment 1 min read Nielsen: Disney's ‘Bluey' Topped All Household TV Streaming in First Half of 2025 With 25 Billion Minutes TV News TV News TV News Follow Jul 16 '25 Nielsen: Disney's ‘Bluey' Topped All Household TV Streaming in First Half of 2025 With 25 Billion Minutes # streamingstats # streaming # netflix # disneyplus Comments Add Comment 1 min read Netflix Says 50 Percent of Global Users Now Watch Anime, Reveals Expanded Slate TV News TV News TV News Follow Jul 10 '25 Netflix Says 50 Percent of Global Users Now Watch Anime, Reveals Expanded Slate # netflix # anime # streaming # streamingstats Comments Add Comment 1 min read 'Cyberpunk: Edgerunners' Season 2 Announced TV News TV News TV News Follow Jul 10 '25 'Cyberpunk: Edgerunners' Season 2 Announced # anime # streaming # netflix # scifi Comments Add Comment 1 min read ‘Squid Game' Season 3 Becomes First Show To Debut No. 1 On Netflix Across 93 Countries With 60.1M Views TV News TV News TV News Follow Jul 9 '25 ‘Squid Game' Season 3 Becomes First Show To Debut No. 1 On Netflix Across 93 Countries With 60.1M Views # netflix # streaming # streamingstats # tv Comments Add Comment 1 min read 'Cyberpunk: Edgerunners' Season 2 Announced TV News TV News TV News Follow Jul 9 '25 'Cyberpunk: Edgerunners' Season 2 Announced # anime # netflix # streaming # scifi Comments Add Comment 1 min read Netflix Says 50 Percent of Global Users Now Watch Anime, Reveals Expanded Slate TV News TV News TV News Follow Jul 9 '25 Netflix Says 50 Percent of Global Users Now Watch Anime, Reveals Expanded Slate # anime # netflix # streaming # streamingstats Comments Add Comment 1 min read ‘Squid Game' Season 3 Becomes First Show To Debut No. 1 On Netflix Across 93 Countries With 60.1M Views TV News TV News TV News Follow Jul 7 '25 ‘Squid Game' Season 3 Becomes First Show To Debut No. 1 On Netflix Across 93 Countries With 60.1M Views # netflix # streaming # streamingstats # thriller 2 reactions Comments Add Comment 1 min read ‘Squid Game' Season 3 Becomes First Show To Debut No. 1 On Netflix Across 93 Countries With 60.1M Views TV News TV News TV News Follow Jul 8 '25 ‘Squid Game' Season 3 Becomes First Show To Debut No. 1 On Netflix Across 93 Countries With 60.1M Views # streaming # netflix # streamingstats # tv Comments Add Comment 1 min read Netflix Says 50 Percent of Global Users Now Watch Anime, Reveals Expanded Slate TV News TV News TV News Follow Jul 8 '25 Netflix Says 50 Percent of Global Users Now Watch Anime, Reveals Expanded Slate # netflix # anime # streaming # streamingstats Comments Add Comment 1 min read 'Cyberpunk: Edgerunners' Season 2 Announced TV News TV News TV News Follow Jul 8 '25 'Cyberpunk: Edgerunners' Season 2 Announced # anime # netflix # streaming # scifi Comments Add Comment 1 min read 'Cyberpunk: Edgerunners' Season 2 Announced TV News TV News TV News Follow Jul 7 '25 'Cyberpunk: Edgerunners' Season 2 Announced # anime # netflix # streaming # scifi Comments Add Comment 1 min read Martin Kove Accused Of Sexual Harassment On 'Cobra Kai' Set in 2024 TV News TV News TV News Follow Jul 2 '25 Martin Kove Accused Of Sexual Harassment On 'Cobra Kai' Set in 2024 # tv # netflix # scandals # hollywood Comments Add Comment 1 min read Money problems: have we had enough of TV shows about rich people? TV News TV News TV News Follow Jul 2 '25 Money problems: have we had enough of TV shows about rich people? # tv # streaming # netflix # hbomax Comments Add Comment 1 min read One of the best BBC police dramas Line of Duty, that's "brutal", "thrilling" and "almost perfection" is now on Netflix TV News TV News TV News Follow Jul 1 '25 One of the best BBC police dramas Line of Duty, that's "brutal", "thrilling" and "almost perfection" is now on Netflix # tv # streaming # netflix # drama Comments Add Comment 1 min read Martin Kove Accused Of Sexual Harassment On 'Cobra Kai' Set in 2024 TV News TV News TV News Follow Jul 1 '25 Martin Kove Accused Of Sexual Harassment On 'Cobra Kai' Set in 2024 # celebrities # tv # streaming # netflix Comments Add Comment 1 min read Money problems: have we had enough of TV shows about rich people? TV News TV News TV News Follow Jul 1 '25 Money problems: have we had enough of TV shows about rich people? # tv # streaming # netflix # hbomax Comments Add Comment 1 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#bolt-ai-coding-llm | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#differences | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#cursor | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#why-subscribe-to-fine | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#cursor-over-replit | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#pricing | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#replit-over-cursor | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#replit-ai-coding-llm | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://ostif.org/audits/ | Audits – OSTIF.org Skip to content Get an Audit Sponsor Us About Us Audits Community News Toggle website search Get an Audit Sponsor Us About Us Audits Community News Toggle website search Stats 20,000 Hours of Coordinated Security Review 800 Security Vulnerabilities Found and Patched 66 CVEs 200+ Severe Bugs Found and Patched (bugs that would have a CVSS score of “high” or “critical” rating) 500+ tools added to projects 100+ projects audited $3,000,000+ dollars raised for security Annual Reports 2024 2023 2022 Audits The following is a list of engagements organized by OSTIF. PDF versions of the full report(s) can be found at the bottom of the page linked under deliverable. Product Review Date Result Deliverable 25 AI/LLM Projects December 2025 Manual Code Review 25 AI/LLM Review Complete! Thunderbird-Send December 2025 Manual Code Review, Automated Testing Thunderbird-Send Audit Complete! Bitcoin Core November 2025 Manual Code Review, Automated Testing Bitcoin Core Audit Complete! KubeVirt November 2025 Threat Model, Manual Code Review, Automated Testing KubeVirt Audit Complete! OpenSSF Scorecard October 2025 Threat Model, Manual Code Review, Automated Testing OpenSSF Scorecard Audit Complete! GNU Libmicrohttpd2 September 2025 Threat Model, Manual Code Review, Automated Testing GNU Libmicrohttpd2 Audit Complete! PHP Documentation September 2025 Documentation Audit PHP Documentation Audit Complete! MaterialX July 2025 Threat Model, Manual Code Review, Automated Testing MaterialX Audit Complete! OpenEXR July 2025 Threat Model, Manual Code Review, Automated Testing OpenEXR Audit Complete! PowSyBl July 2025 Threat Model, Manual Code Review, Automated Testing PowSyBl Audit Complete! conda-forge July 2025 Threat Model, Manual Code Review, Automated Testing conda-forge Audit Complete! Volcano June 2025 Threat Model, Manual Code Review, Automated Testing Volcano Audit Complete! Ruby on Rails June 2025 Threat Model, Manual Code Review, Automated Testing Ruby On Rails Audit Complete! Log4Net & Log4CXX June 2025 Threat Model, Manual Code Review, Automated Testing Log4Net & Log4Cxx Audits Complete! nghttp3 & nghtcp2 May 2025 Manual Code Review, Automated Testing nghttp3 & nghtcp2 Audits Complete! NATS April 2025 Manual Code Review, Automated Testing NATS Audit Complete! Istio-Ztunnel April 2025 Manual Code Review, Automated Testing Istio ztunnel Audit Complete! PHP April 2025 Manual Code Review, Automated Testing PHP Audit Complete! RSTUF March 2025 Manual Code Review, Automated Testing RSTUF Audit Complete! Logback February 2025 Manual Code Review, Automated Testing Logback Audit Complete! Linkerd February 2025 Manual Code Review, Automated Testing Linkerd Audit Complete! HickoryDNS February 2025 Manual Code Review, Automated Testing HickoryDNS Audit Complete! Notary Project Cryptography January 2025 Manual Code Review, Automated Testing Notary Project Cryptography Audit Complete! Karmada January 2025 Threat Model, Manual Code Review, Automated Testing Karmada Audit Complete! Backstage December 2024 Manual Code Review, Automated Testing Backstage Audit Complete! Node.js Fuzzing October 2024 Manual Code Review, Automated Testing Node.js Fuzzing Audit Complete! Express October 2024 Threat Model, Manual Code Review, Automated Testing Express Audit Complete! OperatorFabric September 2024 Threat Model, Manual Code Review, Automated Testing OperatorFabric Audit Complete! SEAPATH September 2024 Threat Model, Manual Code Review, Automated Testing SEAPATH Audit Complete! LitmusChaos August 2024 Threat Model, Manual Code Review, Automated Testing LitmusChaos Audit Complete! Fastify August 2024 Threat Model, Manual Code Review, Automated Testing Fastify Audit Complete! Cloud Native Buildpacks July 2024 Threat Model, Manual Code Review, Automated Testing Cloud Native Buildpacks Audit Complete! Apache Commons July 2024 Manual Code Review, Automated Testing Apache Commons Audit Complete! CycloneDDS June 2024 Manual Code Review, Automated Testing CycloneDDS Audit Complete! Temurin June 2024 Manual Code Review, Automated Testing Temurin Audit Complete! OpenSSL June 2024 Manual Code Review, Automated Testing OpenSSL Audit Complete! Kuksa May 2024 Threat Model, Manual Code Review, Automated Testing Kuksa Audit Complete! Cloud Custodian April 2024 Manual Code Review, Automated Testing, Supply Chain Security Analysis CloudCustodian Audit Complete! Bref March 2024 Manual Code Review, Automated Testing bref Audit Complete! cert-manager March 2024 Threat Modeling, Manual Code Review, Automated Testing, SLSA cert-manager Audit Complete! llvm March 2024 Manual Review, Fuzzing Setup and Improvements LLVM Audit Complete! cURL HTTP/3 February 2024 Manual Review, Fuzzing Improvements cURL Audit Complete! Jackson-Dataformats and Jackson-Datatypes February 2024 Manual Review, Threat Modeling, Fuzzing Improvements Audit of Jackson-Dataformats and Jackson-Datatypes Complete php TUF January 2024 Security Audit, Threat Modeling, Tooling Improvements PHP-TUF Audit Complete! Amazon Web Services & Eclipse Foundation Security Audit Impact Report Calendar Year 2023 Aggregate Results Link to Post and Report cubeFS January 2024 Threat Modeling, Manual Code Review, Automated Testing, SLSA CubeFS Security Audit is Complete 2023 CNCF Audit Impact Report Calendar Year 2023 Aggregate Results 2023 Cloud Native Computing Foundation Audit Impact Report 50th Audit Milestone YTD Top Vulnerability Types Found, Lessons Learned, Common Auditing Mistakes 50th Audit Milestone 2023 Annual Report Calendar Year 2023 Aggregate Results 2023 OSTIF Annual Report nvm December 2023 Threat Modeling, Manual Code Review, Automated Testing, SLSA nvm Security Audit Complete Knative November 2023 Threat Modeling, Manual Code Review, Automated Testing, SLSA Knative Security Audit Complete Kyverno November 2023 Threat Modeling, Manual Code Review, Automated Testing, SLSA Kyverno Security Audit Complete Mosquitto November 2023 Threat Modeling, Manual Code Review, Automated Testing The Buzz about Mosquitto ‘s Security Audit! flux November 2023 Manual Code Review, Automated Testing In-Flux-ible on bugs- Flux undergoes Security Audit with OSTIF and Trail of Bits rustVMM November 2023 Manual Code Review RustVMM Security Audit with OSTIF is Complete! Jetty October 2023 Manual Code Review, Threat Model, Fuzzing and Static Analysis Tool Implementation OSTIF Has Completed an Audit of Jetty! wasmCloud October 2023 Manual Code Review, Fuzzing OSTIF Has Completed A Security Audit of wasmCloud! OpenSearch September 2023 Manual Code Review Bugs? Search Me!- OpenSearch Security Audit Completed! JKube September 2023 Threat Modeling, Manual Code Review jKube Security Audit Completed! OSTIF’s Security Expertise September 2023 Visual Aggregate of OSTIF’s Work View Here Dragonfly September 2023 Security Review, Fuzzing Improvements, Threat Model OSTIF’s Favorite Bug- DragonFly! Dapr September 2023 Security Review, Fuzzing Improvements, Supply Chain Assessment, Threat Model Dampening Vulnerabilities in Dapr: Security Audit of Dapr Envoy Proxy August 2023 Bug Triage and Fixes, Fuzzing Performance Improvements OSTIF collaborates with the Envoy Team to further improve security posture. Crossplane July 2023 Security Review, Fuzzing Improvements, Supply Chain Assessment, Threat Model OSTIF completes Security Audit of Crossplane-improved across the board! Mozilla K-9 July 2023 Security Review, Supply Chain Assessment, Threat Model OSTIF’s Security Audit of K-9 Mail is Complete! Equinox p2 July 2023 Security Review, Tooling Review OSTIF’s Audit of Equinox P2 is Complete! libjpegturbo July 2023 Security Review Our Audit of libjpeg-turbo is Complete! Notation July 2023 Security Review, Fuzzing Improvements, SLSA Assessment OSTIF’s Security Audit of Notation-duly Noted! go-tuf June 2023 Security Review go-tuf on bugs! OSTIF’s audit of go-tuf! Vitess May 2023 Security Review, Fuzzing Improvements Our Audit of Vitess is Complete! in-toto May 2023 Security Review Our Audit of in-toto is Complete! C-ares May 2023 Security Review, Fuzzing Improvements Our Audit of c-ares is Complete! Libcap May 2023 Security Review, Fuzzing Improvements Our Audit of Libcap is Complete! SimpleJSON April 2023 Security Review, Fuzzing Improvements Our Audit of SimpleJSON is Complete! 2022 OSTIF Annual Report March 2023 Security Reviews, Threat Modeling, Fuzzing Improvements The 2022 OSTIF Annual Report Falco March 2023 Security Review, Threat Modeling, Fuzzing Improvements Our Review of Falco is Complete! 2022 CNCF Impact Report July 2022 – February 2023 Security Reviews, Threat Models, Fuzzing Improvements, SLSA Assessments The OSTIF Impact Report for the Cloud Native Computing Foundation git Software Supply Chain Audit February 2023 SLSA Assessment Our Software Supply Chain Audit of Git for Windows is Complete! Cilium February 2023 Security Review, Threat Model, Fuzzing Improvements, SLSA Assessment Our Audit of Cilium is Complete! KEDA February 2023 Security Review, Threat Modeling Our Audit of Kubernetes Event Driven Autoscaling (KEDA) is Complete Independent Security Audit Impact Report February 2023 Security Reviews, Threat Models, Tooling Improvements The OSTIF Independent Security Audit Impact Report Istio January 2023 Security Review, Threat Model, Fuzzing Improvements, SLSA Assessment The Audit of Istio is Complete! Git January 2023 Security Review, Threat Model The Audit of Git is Complete! cURL October 2022 Security Review, Threat Model Results of curl Security Audit. CloudEvents September 2022 Security Review Results of the CloudEvents Security Assessment. Jackson-Core and Jackson-Databind August 2022 Security Review, Threat Model, Fuzzing Suite Update Our Audits of Jackson-Core and Jackson-Databind are Complete. Python-TUF September 2022 Security Review Our Audit of Python-TUF is Complete. Multiple Issues Found and Fixed. Backstage April – August 2022 Security Review, Threat Model The OSTIF Audit of Backstage with X41 D-Sec is Complete! CNCF Impact Report November 2021 – July 2022 Security Reviews & Associated Work The Cloud Native Computing Foundation and OSTIF Impact Report. slf4j April 2022 Security Review, Threat Model, Supply Chain Security Review Our Audit of SLF4J is Complete! sigstore May 2022 Security Review, Threat Model Our Audit of sigstore is complete. High risk vulnerability found and fixed. Argo April 2022 Security Review, Threat Model Our Audit of Argo is Complete. Critical and High Severity Issues Found and Fixed KubeEdge July 2022 Security Review, Threat Model, Supply Chain Security Assessment Our Audit of KubeEdge is Complete. Multiple Security Issues Found and Fixed CRI-O June 2022 Security Review, Threat Model, Supply Chain Security Assessment Our Audit of CRI-O is Complete. High Severity Issues Found and Fixed Flux September 2021 Security Review Our Audit of Flux2 is Complete Linux Kernel April 2021 Policy Review A Review of the Linux Kernel’s Release Signing and Key Management Policies Linux Kernel January 2021 Policy Review A Review of the Linux Kernel’s Vulnerability Reporting and Remediation COVID Shield October 2020 Security Review, Threat Model The Linux Foundation Public Health Initiative Sponsored the Audit of COVID Exposure Notification Apps. COVID Green October 2020 Security Review, Threat Model The Linux Foundation Public Health Initiative Sponsored the Audit of COVID Exposure Notification Apps. CLSAG July 2020 Security Review The OSTIF Audit of Monero CLSAG is Complete! Unbound December 2019 Security Review Our Audit of Unbound DNS by X41 D-Sec RandomX August 2019 Security Review Four Audits of RandomX for Monero and Arweave have been Completed OpenSSL January 2019 Security Review The OSTIF and Quarkslab Audit of OpenSSL is Complete Monero Bulletproofs October 2018 Security Review The QuarksLab and Kudelski Security audits of Monero Bulletproofs are Complete Monero Bulletproofs July 2018 Security Review The QuarksLab and Kudelski Security audits of Monero Bulletproofs are Complete OpenSSL PRNG September 2018 Security Review Our Review of the OpenSSL 1.1.1 Random Number Generation Update OpenVPN May 2017 Security Review The OpenVPN 2.4.0 Audit by OSTIF and QuarksLab Results Veracrypt October 2016 Security Review The VeraCrypt Audit Results X Bluesky LinkedIn Mastodon Youtube Github [email protected] Copyright © 2025 Open Source Technology Improvement Fund. All rights reserved. | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#replit | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#practical-examples-for-ai-coding-with-o1-and-claude-sonnet | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://popcorn.forem.com/t/marketing#main-content | Marketing - Popcorn Movies and TV Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Popcorn Movies and TV Close # marketing Follow Hide Marketing campaigns and trailers Create Post Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu CinemaSins: Everything Wrong With Mission: Impossible - The Final Reckoning In 27 Minutes Or Less Movie News Movie News Movie News Follow Nov 28 '25 CinemaSins: Everything Wrong With Mission: Impossible - The Final Reckoning In 27 Minutes Or Less # movies # reviews # action # marketing Comments Add Comment 1 min read Ringer Movies: ‘Snake Eyes’ With Bill Simmons, Sean Fennessey, and Van Lathan | Ringer Movies Movie News Movie News Movie News Follow Nov 17 '25 Ringer Movies: ‘Snake Eyes’ With Bill Simmons, Sean Fennessey, and Van Lathan | Ringer Movies # movies # marketing # recommendations Comments Add Comment 1 min read CinemaSins: Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less Movie News Movie News Movie News Follow Nov 14 '25 CinemaSins: Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less # movies # reviews # marketing Comments Add Comment 1 min read IGN: Baahubali: The Epic - Official Trailer #2 (2025) Gaming News Gaming News Gaming News Follow Oct 18 '25 IGN: Baahubali: The Epic - Official Trailer #2 (2025) # adventure # action # marketing # movies Comments Add Comment 1 min read CinemaSins: Everything Wrong With Grown Ups In 18 Minutes Or Less Movie News Movie News Movie News Follow Oct 5 '25 CinemaSins: Everything Wrong With Grown Ups In 18 Minutes Or Less # movies # streaming # reviews # marketing Comments Add Comment 1 min read CinemaSins: Everything Wrong With Longlegs In 24 Minutes Or Less Movie News Movie News Movie News Follow Nov 5 '25 CinemaSins: Everything Wrong With Longlegs In 24 Minutes Or Less # movies # reviews # streaming # marketing Comments 1 comment 1 min read CinemaSins: Everything Wrong With The Strangers: Chapter 1 In 15 Minutes Or Less Movie News Movie News Movie News Follow Sep 23 '25 CinemaSins: Everything Wrong With The Strangers: Chapter 1 In 15 Minutes Or Less # movies # reviews # streaming # marketing Comments Add Comment 1 min read CinemaSins: Everything Wrong With Pee-wee's Big Adventure In 18 Minutes Or Less Movie News Movie News Movie News Follow Sep 16 '25 CinemaSins: Everything Wrong With Pee-wee's Big Adventure In 18 Minutes Or Less # movies # reviews # streaming # marketing Comments Add Comment 1 min read Mid-October 2025 Movie and TV Roundup: Releases, Trailers, and Buzz Om Shree Om Shree Om Shree Follow Oct 12 '25 Mid-October 2025 Movie and TV Roundup: Releases, Trailers, and Buzz # streaming # marketing # recommendations # movies 20 reactions Comments Add Comment 4 min read IGN: SHELL - Official Trailer (2025) Elisabeth Moss, Kate Hudson Gaming News Gaming News Gaming News Follow Oct 5 '25 IGN: SHELL - Official Trailer (2025) Elisabeth Moss, Kate Hudson # marketing # movies # thriller # horror Comments Add Comment 1 min read IGN: SHELL - Official Trailer (2025) Elisabeth Moss, Kate Hudson Gaming News Gaming News Gaming News Follow Oct 6 '25 IGN: SHELL - Official Trailer (2025) Elisabeth Moss, Kate Hudson # marketing # movies # thriller # horror Comments Add Comment 1 min read Ringer Movies: How To Save Movies With the CEO of AMC Theaters | The Town Movie News Movie News Movie News Follow Sep 1 '25 Ringer Movies: How To Save Movies With the CEO of AMC Theaters | The Town # movies # streaming # netflix # marketing Comments Add Comment 1 min read IGN: The Carpenter's Son - Official Trailer (2025) Nicolas Cage, FKA twigs Gaming News Gaming News Gaming News Follow Oct 2 '25 IGN: The Carpenter's Son - Official Trailer (2025) Nicolas Cage, FKA twigs # marketing # movies # thriller # horror Comments Add Comment 1 min read IGN: Psycho Killer - Official Trailer (2026) Georgina Campbell, Malcolm McDowell Gaming News Gaming News Gaming News Follow Oct 2 '25 IGN: Psycho Killer - Official Trailer (2026) Georgina Campbell, Malcolm McDowell # marketing # movies # thriller # horror Comments Add Comment 1 min read IGN: Good Fortune - Official ‘Gabe’s First Meal’ Clip (2025) Keanu Reeves, Aziz Ansari, Seth Rogen Gaming News Gaming News Gaming News Follow Oct 1 '25 IGN: Good Fortune - Official ‘Gabe’s First Meal’ Clip (2025) Keanu Reeves, Aziz Ansari, Seth Rogen # marketing # movies # fantasy # starpower Comments Add Comment 1 min read IGN: Good Fortune - Official 'Solved Problems' Clip (2025) Keanu Reeves, Aziz Ansari, Seth Rogen Gaming News Gaming News Gaming News Follow Oct 1 '25 IGN: Good Fortune - Official 'Solved Problems' Clip (2025) Keanu Reeves, Aziz Ansari, Seth Rogen # marketing # movies # starpower Comments Add Comment 1 min read CinemaSins: Everything Wrong With Dumb and Dumber In 18 Minutes Or Less Movie News Movie News Movie News Follow Sep 30 '25 CinemaSins: Everything Wrong With Dumb and Dumber In 18 Minutes Or Less # movies # reviews # marketing # streaming Comments Add Comment 1 min read Mr Sunday Movies: ANAKIN vs. OBI WAN Star Wars: Revenge of the Sith - 16 Bit Scenes Movie News Movie News Movie News Follow Aug 24 '25 Mr Sunday Movies: ANAKIN vs. OBI WAN Star Wars: Revenge of the Sith - 16 Bit Scenes # marketing # animation # action # movies Comments Add Comment 1 min read AMC Theatres to Trim Pre-Show by 4 to 5 Minutes, CEO Says Movie News Movie News Movie News Follow Aug 12 '25 AMC Theatres to Trim Pre-Show by 4 to 5 Minutes, CEO Says # marketing # filmindustry # boxoffice # cinema Comments Add Comment 1 min read CinemaSins: Everything Wrong With The Nutty Professor In 17 Minutes Or Less Movie News Movie News Movie News Follow Aug 14 '25 CinemaSins: Everything Wrong With The Nutty Professor In 17 Minutes Or Less # movies # reviews # streaming # marketing Comments Add Comment 1 min read CinemaSins: Everything Wrong With American Wedding Movie News Movie News Movie News Follow Aug 14 '25 CinemaSins: Everything Wrong With American Wedding # movies # reviews # streaming # marketing Comments Add Comment 1 min read Ramy Youssef Exits Will Ferrell's Netflix Golf Comedy Over Creative Differences; Molly Shannon Joins Cast TV News TV News TV News Follow Aug 12 '25 Ramy Youssef Exits Will Ferrell's Netflix Golf Comedy Over Creative Differences; Molly Shannon Joins Cast # marketing # offtopic # filmindustry # studios Comments Add Comment 1 min read Lionsgate Posts $10.6 Million Quarterly Loss After ‘Ballerina' Disappoints Movie News Movie News Movie News Follow Aug 8 '25 Lionsgate Posts $10.6 Million Quarterly Loss After ‘Ballerina' Disappoints # marketing # accessibilitymedia # agencies # offtopic Comments Add Comment 1 min read ‘Star Wars: A New Hope' Will Get 50th Anniversary Theatrical Re-Release on April 30, 2027 Movie News Movie News Movie News Follow Aug 8 '25 ‘Star Wars: A New Hope' Will Get 50th Anniversary Theatrical Re-Release on April 30, 2027 # marketing # analysis # distribution # filmindustry Comments Add Comment 1 min read Margot Robbie Eyed to Star in Tim Burton's ‘Attack of the Fifty Foot Woman' With LuckyChap in Talks to Produce Movie News Movie News Movie News Follow Aug 8 '25 Margot Robbie Eyed to Star in Tim Burton's ‘Attack of the Fifty Foot Woman' With LuckyChap in Talks to Produce # offtopic # marketing # analysis # filmindustry Comments Add Comment 1 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/integrate-ai-technical-guide#2-choose-your-ai-model-wisely | How to Integrate AI into Your Startup: A Technical Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Integrate AI into Your Startup: A Technical Guide for CTOs Table of Contents Define the Use Case for AI Choose Your AI Model Wisely Access and Integrate APIs Consider Latency and Cost for AI Integration Model Customization and Fine-Tuning for AI Infrastructure Considerations for AI Deployment Testing and Monitoring AI Systems Performance Optimization for AI Integration Ensure a Smooth User Experience with AI Leveraging LiteLLM for Seamless AI Integration Potential Challenges and Solutions in AI Integration Conclusion Integrating artificial intelligence into a startup's offerings is a transformative endeavor that enhances user experience and drives innovation. For CTOs aspiring to embed AI-powered features into their products, this guide provides a comprehensive overview of the technical aspects involved in integrating advanced language models such as OpenAI's GPT-4, Anthropic's Claude, and other leading large language models (LLMs). This document will help you navigate the complexities of incorporating AI, ensuring a successful and technically sound transition. 1. Define the Use Case for AI Before embarking on AI integration, it is essential to precisely define the problem that AI will address for your users. Will AI enhance customer support, summarize complex data, or add conversational capabilities? The specific use case will dictate the appropriate AI architecture and integration strategy. For instance, automating customer support might require real-time natural language understanding and response generation, whereas document analysis could involve batch processing and data summarization. Establishing these requirements upfront helps identify the optimal LLM, the necessary tuning, and the appropriate integration model. While anyone can create a chatbot using Retrieval-Augmented Generation (RAG), the distinction lies in how effectively your AI solution addresses genuine user challenges. A sophisticated AI-driven solution, like Fine’s approach, surpasses basic RAG implementations through advanced model fine-tuning, context-aware management, and a comprehensive integration workflow. This ensures that the AI-generated solutions are accurate, pertinent, and aligned with user needs, thereby delivering actionable insights that enhance user productivity and reduce friction. 2. Choose Your AI Model Wisely Selecting an appropriate large language model (LLM) is paramount for the successful integration of AI capabilities. Different LLMs exhibit distinct strengths: OpenAI's GPT-4 is renowned for its versatility, capable of executing complex tasks such as coding assistance, creative content generation, and language translation. This flexibility makes GPT-4 suitable for a wide range of applications. Anthropic's Claude emphasizes safety and controllability, making it a preferred choice for scenarios demanding rigorous risk mitigation, such as minimizing toxic or biased outputs. Cohere, Mistral, and Llama provide specialized models that excel in domains like multilingual support and cost-effective deployment. The selection of an AI model should align with your application's priorities—whether those are accuracy, safety, efficiency, or a combination of these factors. Real-time applications may benefit from models optimized for responsiveness, whereas batch processing tasks might prioritize throughput efficiency. 3. Access and Integrate APIs Most prominent LLMs offer APIs that facilitate straightforward integration, which is crucial for effective AI deployment. Below is a detailed guide on how to integrate these models, including practical code examples. Set up API Access : Obtain API keys from your preferred LLM provider. Providers like OpenAI and Anthropic offer detailed documentation to guide you through the setup of API access and configuration of usage limits. Python Example : import openai openai.api_key = 'YOUR_OPENAI_API_KEY' response = openai.Completion.create( engine="text-davinci-003", prompt="How do I integrate AI into my startup?", max_tokens=150 ) print(response.choices[0].text) Node.js Example : const { Configuration, OpenAIApi } = require("openai"); const configuration = new Configuration({ apiKey: "YOUR_OPENAI_API_KEY", }); const openai = new OpenAIApi(configuration); async function getResponse() { const response = await openai.createCompletion({ model: "text-davinci-003", prompt: "How do I integrate AI into my startup?", max_tokens: 150, }); console.log(response.data.choices[0].text); } getResponse(); Backend Integration : Employ server-side languages like Python, Node.js, or Go to make API requests. Build a middleware layer that manages API requests, processes responses, and handles errors effectively. This middleware should ensure robustness in the face of API downtime and rate limitations. Python Middleware Example : from flask import Flask, request, jsonify import openai app = Flask(__name__) openai.api_key = 'YOUR_OPENAI_API_KEY' @app.route('/ask', methods=['POST']) def ask(): prompt = request.json.get("prompt") try: response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=150 ) return jsonify(response.choices[0].text) except Exception as e: return jsonify({"error": str(e)}), 500 if __name__ == '__main__': app.run(debug=True) Node.js Middleware Example : const express = require('express'); const { Configuration, OpenAIApi } = require("openai"); const app = express(); const configuration = new Configuration({ apiKey: "YOUR_OPENAI_API_KEY", }); const openai = new OpenAIApi(configuration); app.use(express.json()); app.post('/ask', async (req, res) => { const prompt = req.body.prompt; try { const response = await openai.createCompletion({ model: "text-davinci-003", prompt: prompt, max_tokens: 150, }); res.json(response.data.choices[0].text); } catch (error) { res.status(500).json({ error: error.message }); } }); app.listen(3000, () => { console.log('Server is running on port 3000'); }); Optimize API Requests : To manage costs and improve response times, limit the data sent to the LLM by focusing on critical information. For complex queries, implement pre-processing (e.g., data summarization) and post-processing to enhance usability while minimizing the data payload. Python Example for Pre-processing : def preprocess_data(data): # Simplify data before sending to LLM return data[:500] # Example: trimming data to the first 500 characters prompt = preprocess_data(user_input) response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=150 ) 4. Consider Latency and Cost for AI Integration The costs associated with API usage can escalate rapidly as your application scales. To mitigate these costs while maintaining optimal AI performance, consider the following strategies: Cache Responses : Implement caching for frequently requested responses to minimize redundant API calls. Optimize Context Windows : Large context windows can be beneficial for understanding but come with increased costs. Focus on sending only necessary context to reduce expenses. Utilize Hybrid Models : Combine smaller, open-source models (e.g., Llama 2) for low-stakes interactions with high-accuracy models (e.g., GPT-4) for critical tasks. This hybrid approach helps manage costs while retaining key AI functionalities. 5. Model Customization and Fine-Tuning for AI Pre-trained LLMs are powerful but may require customization to meet specific domain needs effectively. Prompt Engineering : Carefully crafted prompts can often yield the desired output without necessitating model fine-tuning. Experiment with different prompt formats, including few-shot prompting, to guide the model effectively. Fine-Tuning : In cases where deeper domain expertise is necessary, consider fine-tuning the model. OpenAI, among others, offers fine-tuning options. Ensure that you use well-curated datasets to avoid introducing biases during this process. 6. Infrastructure Considerations for AI Deployment AI integration requires robust infrastructure modifications beyond simple API access: Scalability : LLMs can be resource-intensive. Design server infrastructure capable of handling increased traffic and added latency, particularly during peak demand. Data Privacy : Data passing through third-party AI models presents privacy risks. Anonymize user data and implement compliance measures in alignment with relevant data policies and regulations. Edge Deployment : For applications requiring minimal latency, such as IoT, consider deploying lightweight models on edge devices while leveraging cloud-based LLMs for more demanding processing. 7. Testing and Monitoring AI Systems AI systems are dynamic and behave differently from traditional software systems. Rigorous Testing : Test the AI model against edge cases and simulate diverse scenarios to identify potential failure modes. Human-in-the-loop : In high-stakes environments, incorporate mechanisms for human oversight to ensure AI outputs meet quality standards. User feedback should be continuously leveraged to refine model behavior. Continuous Monitoring : Track key metrics such as response latency, error rates, and user satisfaction to ensure ongoing performance optimization. 8. Performance Optimization for AI Integration Effective AI integration demands careful performance tuning to ensure scalability and responsiveness. Asynchronous Processing : Use asynchronous calls to avoid blocking application threads while waiting for LLM responses. This approach allows concurrent task handling, improving overall efficiency. Python Example (Asynchronous) : import openai import asyncio async def get_response(prompt): response = await openai.Completion.acreate( engine="text-davinci-003", prompt=prompt, max_tokens=150 ) return response.choices[0].text loop = asyncio.get_event_loop() prompt = "How can asynchronous processing improve AI performance?" response_text = loop.run_until_complete(get_response(prompt)) print(response_text) Load Balancing : Use load balancers to distribute incoming API requests across multiple servers, preventing any single server from becoming overwhelmed, particularly during periods of high demand. Node.js Example with Load Balancer : Use Nginx as a load balancer to manage and distribute traffic. upstream openai_backend { server server1.example.com; server server2.example.com; } server { listen 80; location /ask { proxy_pass http://openai_backend; } } Containerization with Docker : Docker containers help maintain consistent deployment environments, ensuring easy scaling. Use Kubernetes for orchestrating multiple containers, thereby achieving high availability. Dockerfile Example : # Use an official Python runtime as a parent image FROM python:3.9-slim # Set the working directory in the container WORKDIR /app # Copy the current directory contents into the container at /app COPY . /app # Install any needed packages specified in requirements.txt RUN pip install --no-cache-dir -r requirements.txt # Make port 80 available to the world outside this container EXPOSE 80 # Define environment variable ENV NAME World # Run app.py when the container launches CMD ["python", "app.py"] Kubernetes Deployment Example : apiVersion: apps/v1 kind: Deployment metadata: name: openai-app-deployment spec: replicas: 3 selector: matchLabels: app: openai-app template: metadata: labels: app: openai-app spec: containers: - name: openai-app image: openai-app-image:latest ports: - containerPort: 80 9. Ensure a Smooth User Experience with AI Finally, it’s critical to think about how users will interact with the AI feature. Transparency : Let users know when they’re interacting with an AI model and what its limitations are. This transparency builds trust. Fail Gracefully : In case of a failed API call or confusing AI response, have a fallback ready—such as a templated response or escalation to human support. This ensures the AI adds value rather than creating frustration. 10. Leveraging LiteLLM for Seamless AI Integration For startups looking to efficiently integrate and manage multiple LLMs, LiteLLM offers a powerful framework that simplifies the AI integration process. Here’s how LiteLLM can help: Unified API Access : LiteLLM provides a consistent interface to interact with over 100 LLMs, including those from OpenAI, Anthropic, Hugging Face, and Azure. This simplifies switching between different AI models without altering your codebase, allowing you to be flexible and agile in your AI strategy. Proxy Server (LLM Gateway) : LiteLLM’s proxy server acts as a gateway for centralized AI management. It allows teams to monitor usage, implement guardrails, and customize logging and caching across projects, providing a comprehensive control layer that ensures both security and consistency. Python SDK : The LiteLLM Python SDK helps developers integrate AI functionalities directly into their applications with ease. It standardizes input and output formats, supports retry and fallback mechanisms, and ensures seamless integration with multiple LLM providers. Cost Tracking and Budgeting : LiteLLM enables startups to monitor and manage AI expenditures by tracking usage and setting budgets per project. This feature helps maintain cost efficiency, especially as your AI applications scale. Observability and Logging : With support for tools like Langfuse, Helicone, and PromptLayer, LiteLLM ensures you have comprehensive observability over your AI interactions. This makes debugging easier and helps you track performance metrics to continuously refine your AI integration. Streaming and Asynchronous Support : LiteLLM supports streaming responses and asynchronous operations, which is crucial for real-time AI applications that require high responsiveness. By leveraging LiteLLM, you can simplify the integration of AI capabilities, enhance scalability, and maintain cost-efficiency, making it an excellent choice for startups aiming to incorporate multiple LLMs into their tech stack. 11. Potential Challenges and Solutions in AI Integration Integrating AI into your startup comes with challenges. Here are some common pitfalls and strategies for overcoming them: Common AI Pitfalls Data Privacy Concerns : User data may be exposed during LLM interactions, creating privacy risks. Solution : Implement data anonymization techniques to strip out personally identifiable information (PII) before sending it to third-party AI models. Use encryption for data in transit and consider local processing where possible to limit exposure. Model Bias : AI LLMs can exhibit biases based on the data they were trained on, which may result in unintended consequences in your application. Solution : Conduct regular audits of model outputs to identify biases. Fine-tune AI models using curated datasets that reflect your users' diversity and values. Introduce human-in-the-loop systems to flag and correct problematic outputs. Scalability Issues : As your startup scales, increased API requests can lead to performance bottlenecks. Solution : Implement load balancing and use a combination of asynchronous processing and containerized deployments (e.g., Docker and Kubernetes) to ensure your infrastructure can scale efficiently with growing demand. Risk Management in AI Integration Model Failures : AI models can fail unpredictably, providing incorrect or incomplete responses. Solution : Use fallback strategies—if the AI model fails, implement default responses or escalate to human support. This ensures continuity in service and maintains user satisfaction. Maintaining Uptime : Relying on external LLM APIs can lead to outages that affect your product. Solution : Use redundant AI APIs from multiple providers. Incorporate a caching layer to serve responses for common queries even if the API is down. Compliance with Data Protection Regulations : Handling user data comes with legal responsibilities, including compliance with regulations like GDPR or CCPA. Solution : Work with legal experts to understand the specific data handling requirements in your region. Implement user consent mechanisms, anonymize data, and maintain a data retention policy that aligns with regulatory guidelines. Conclusion Integrating AI into your startup is an exciting journey that requires careful planning and technical rigor. Choosing the right AI model, setting up an efficient infrastructure, mitigating potential challenges, and ensuring high-quality user experience are key to success. With the power of OpenAI, Anthropic, LiteLLM, and other LLMs at your fingertips, you can create smarter, more engaging AI features that will set your startup apart. Fine is an AI coding tool that can help your startup win in the packed race to release new, AI-powered technology. Ship faster, resolve bugs and improve user satisfaction by adopting Fine as your AI coding agent. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://forem.com/andrewbrown#main-content | Andrew Brown 🇨🇦 - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Forem Close Follow User actions Andrew Brown 🇨🇦 I make free cloud certification courses Location Schreiber Joined Joined on Oct 19, 2018 Email address andrew@exampro.co Personal website https://www.exampro.co github website twitter website Education Starfleet Academy Work CEO at ExamPro Seven Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least seven years. Got it Close Six Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least six years. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Five Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least five years. Got it Close Tag Moderator 2022 Awarded for being a tag moderator in 2022. Got it Close Trusted Member 2022 Awarded for being a trusted member in 2022. Got it Close MongoDB Atlas Hackathon 2022 Participant Awarded for participating in the MongoDB Atlas Hackathon 2022 on DEV. Got it Close 2 Week Community Wellness Streak Keep the community conversation going! Post at least 2 comments for 2 straight weeks and unlock the 4 Week Badge. Got it Close 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close Four Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least four years. Got it Close Three Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least three years. Got it Close Two Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least two years. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Fab 5 Awarded for having at least one comment featured in the weekly "top 5 posts" list. Got it Close Beloved Comment Awarded for making a well-loved comment, as voted on with 25 heart (❤️) reactions by the community. Got it Close Big Thread Awarded to the member who creates the biggest thread of the week, in terms of most love across all comments. Got it Close Top 7 Awarded for having a post featured in the weekly "must-reads" list. 🙌 Got it Close 4 Week Writing Streak You've posted at least one post per week for 4 consecutive weeks! Got it Close DEV Contributor Awarded for contributing code or technical docs/guidelines to the Forem open source project Got it Close Show all 19 badges More info about @andrewbrown Organizations ExamPro AWS Heroes AWS Community Builders 100DaysOfCloud GitHub Repositories pipezania Pipezania is a pipe puzzle game built with Phaser, Gulp, CoffeeScript and Sinatra JavaScript • 20 stars swap-n-pop JavaScript • 46 stars Skills/Languages Ruby on Rails, AWS, Postgres, CyberSecurity Currently learning 6502 Assembly Currently hacking on https://github.com/omenking/swap-n-pop Available for If you want to test out my AWS personal study material (ExamPro) If you're interested in co-writing a technical article. Post 62 posts published Comment 989 comments written Tag 17 tags followed Post-Hackathon Advice: Turning Lemons 🍋 into Lemonade 🍹 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jan 15 '23 Post-Hackathon Advice: Turning Lemons 🍋 into Lemonade 🍹 # discuss # ai # softwaredevelopment # productivity 5 reactions Comments 2 comments 1 min read Want to connect with Andrew Brown 🇨🇦? Create an account to connect with Andrew Brown 🇨🇦. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Cruddur - The not so great twitter clone using Ruby Sinatra + React + GCP CloudRun + MongoDB Atlas + Terraform Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Dec 8 '22 Cruddur - The not so great twitter clone using Ruby Sinatra + React + GCP CloudRun + MongoDB Atlas + Terraform # atlashackathon22 # terraform # googlecloud # ruby 7 reactions Comments 2 comments 11 min read You're running an online conference but get called out for having an all-male speaker lineup 2 days prior. Yo, What do you do? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Dec 4 '22 You're running an online conference but get called out for having an all-male speaker lineup 2 days prior. Yo, What do you do? # webdev # opensource # devto 22 reactions Comments 19 comments 5 min read What if DEV became the new Twitter-like platform for developers? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Nov 11 '22 What if DEV became the new Twitter-like platform for developers? # discuss 26 reactions Comments 16 comments 1 min read Twitter <> Andrew Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jan 26 '22 Twitter <> Andrew # twitter 13 reactions Comments Add Comment 7 min read Will you consider your carbon footprint when configuring your compute workloads? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jul 30 '21 Will you consider your carbon footprint when configuring your compute workloads? # discuss # cloud 10 reactions Comments Add Comment 1 min read This is what gatekeeping looks like in the cloud industry (or how to not be a reply guy) Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jul 20 '21 This is what gatekeeping looks like in the cloud industry (or how to not be a reply guy) # discuss # career # aws # azure 33 reactions Comments 2 comments 3 min read Is PolyWork the new LinkedIn for Developers? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jun 17 '21 Is PolyWork the new LinkedIn for Developers? # discuss # career 106 reactions Comments 18 comments 6 min read If you were the new CEO of Amazon Web Services what would be your first executive order? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Feb 7 '21 If you were the new CEO of Amazon Web Services what would be your first executive order? # aws 28 reactions Comments 21 comments 1 min read AWS Heroes React to AWS re:Invent 2020 Announcements 🤯 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for AWS Heroes Dec 3 '20 AWS Heroes React to AWS re:Invent 2020 Announcements 🤯 # aws 95 reactions Comments Add Comment 12 min read AWS Community Builders Program 09:50 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for AWS Community Builders Aug 12 '20 AWS Community Builders Program # aws # cloud 112 reactions Comments 5 comments 4 min read Rich Draft Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jun 24 '20 Rich Draft 23 reactions Comments 11 comments 1 min read Free Youtube Channels I Recommend To Help You Pass AWS / Azure Certification ☁️ Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Jun 22 '20 Free Youtube Channels I Recommend To Help You Pass AWS / Azure Certification ☁️ # aws # azure # beginners # career 104 reactions Comments 3 comments 6 min read FREE AWS Developer Associate Certification Course (250+ Videos) 😱 00:39 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Jun 20 '20 FREE AWS Developer Associate Certification Course (250+ Videos) 😱 # azure # beginners # career # cloud 282 reactions Comments 4 comments 17 min read FREE 3 Hour Azure Fundamentals (AZ-900) Certification Course (100+ Videos!) 😱 00:32 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Jun 18 '20 FREE 3 Hour Azure Fundamentals (AZ-900) Certification Course (100+ Videos!) 😱 # azure # beginners # career # cloud 193 reactions Comments 13 comments 5 min read CloudJourney - Want to be on my live-stream? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow May 20 '20 CloudJourney - Want to be on my live-stream? # aws # azure # devops # career 35 reactions Comments 4 comments 3 min read I am being cyberbullied and it's affecting my mental health. This is my personal cure. Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Apr 8 '20 I am being cyberbullied and it's affecting my mental health. This is my personal cure. # discuss # pinkday # todayilearned 55 reactions Comments 6 comments 7 min read WTF? Google Cloud Platform has a Cloud Service that Uses ML to help you find a job. How more meta can you get? 03:20 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Mar 7 '20 WTF? Google Cloud Platform has a Cloud Service that Uses ML to help you find a job. How more meta can you get? # gcp # career # webdev # cloud 128 reactions Comments 13 comments 2 min read DynamoDB Cheatsheet – Everything you need to know about Dynamo DB for the 2020 AWS Certified Developer Associate Certification Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Feb 29 '20 DynamoDB Cheatsheet – Everything you need to know about Dynamo DB for the 2020 AWS Certified Developer Associate Certification # aws # database # developer # cloud 155 reactions Comments 3 comments 9 min read Pulling your DEV Organization Stats into a Spreadsheet Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Feb 20 '20 Pulling your DEV Organization Stats into a Spreadsheet # showdev # tutorial # productivity # beginners 59 reactions Comments 2 comments 2 min read Upcoming Change to the AWS Solutions Architect Associate Exam SAA-C01 to SAA-C02 04:55 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Feb 19 '20 Upcoming Change to the AWS Solutions Architect Associate Exam SAA-C01 to SAA-C02 # aws 56 reactions Comments 6 comments 2 min read I had to build my own Markdown Editor because no tool was fast enough for me. 01:19 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Feb 14 '20 I had to build my own Markdown Editor because no tool was fast enough for me. # showdev # productivity # opensource # javascript 245 reactions Comments 18 comments 5 min read AWS for Startups (FREE 4hrs Video Course) Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Jan 21 '20 AWS for Startups (FREE 4hrs Video Course) # aws # startup # beginners # tutorial 259 reactions Comments 10 comments 3 min read Gotta Learn Em' All - Amázons (Web Services) 01:23 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Nov 21 '19 Gotta Learn Em' All - Amázons (Web Services) # aws 58 reactions Comments 2 comments 1 min read The FREE AWS Certified Solutions Architect Associate Study Course (275+ Videos!) 😱 00:24 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Nov 20 '19 The FREE AWS Certified Solutions Architect Associate Study Course (275+ Videos!) 😱 # aws # beginners # career # cloud 856 reactions Comments 30 comments 16 min read Delta-Eos (ASCII Detective Sci-fi game) - Starting to Play Like a Game 07:41 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Nov 7 '19 Delta-Eos (ASCII Detective Sci-fi game) - Starting to Play Like a Game # showdev # ruby # gamedev 61 reactions Comments 2 comments 1 min read Delta-Eos - Starting to look like a game Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Nov 4 '19 Delta-Eos - Starting to look like a game # showdev # ruby # gamedev 17 reactions Comments 1 comment 2 min read I am AWS Obsessed but I can't get hired at AWS. Have you ever faced such repeated rejection? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Oct 30 '19 I am AWS Obsessed but I can't get hired at AWS. Have you ever faced such repeated rejection? # discuss # rejection # aws # career 90 reactions Comments 79 comments 2 min read Delta-Eos - ASCII Text-Heavy Murder Mystery Game Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Oct 30 '19 Delta-Eos - ASCII Text-Heavy Murder Mystery Game # showdev # ruby # gamedev 24 reactions Comments 6 comments 5 min read TL;DR Headless CMS Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Oct 29 '19 TL;DR Headless CMS # productivity # webdev # beginners # tldr 85 reactions Comments 4 comments 6 min read The Free AWS Certified Cloud Practitioner Study Course (85+ Videos!) 01:08 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Oct 10 '19 The Free AWS Certified Cloud Practitioner Study Course (85+ Videos!) # aws # beginners # career # makeachange 786 reactions Comments 33 comments 6 min read The fast track to microservices on AWS 24:58 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Oct 4 '19 The fast track to microservices on AWS # techtalks # aws # microservices # devops 77 reactions Comments 1 comment 4 min read Who/what should I follow on Instagram for web-dev? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Aug 28 '19 Who/what should I follow on Instagram for web-dev? # discuss # webdev # career # help 70 reactions Comments 28 comments 1 min read I just did my first guest podcast and I'm giving away a free study course for AWS Certification! 00:30 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Aug 26 '19 I just did my first guest podcast and I'm giving away a free study course for AWS Certification! # aws # career # beginners # fullstack 46 reactions Comments 17 comments 1 min read Event Tracking and Analytics via Ruby on Rails, DynamoDB (with Streams), Kinesis Firehose and Athena and CloudWatch Dashboard! 21:24 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Aug 11 '19 Event Tracking and Analytics via Ruby on Rails, DynamoDB (with Streams), Kinesis Firehose and Athena and CloudWatch Dashboard! # aws # rails # bigdata # kinesis 88 reactions Comments Add Comment 13 min read You're not worth hiring unless... Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Aug 4 '19 You're not worth hiring unless... # discuss # webdev # career 386 reactions Comments 171 comments 1 min read Just moved our online IDE from Cloud9 to VSCode what extensions should we use? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Aug 1 '19 Just moved our online IDE from Cloud9 to VSCode what extensions should we use? # help # vscode 9 reactions Comments 7 comments 1 min read Live-Stream July 30th 12:30PM-1:30PM EDT - Hacks to Improve your LinkedIn Profile for Devs Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jul 29 '19 Live-Stream July 30th 12:30PM-1:30PM EDT - Hacks to Improve your LinkedIn Profile for Devs # career # webdev # beginners # linkedin 42 reactions Comments Add Comment 1 min read How do you like your rice pudding? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jul 12 '19 How do you like your rice pudding? # watercooler 6 reactions Comments 4 comments 1 min read Toronto Meetup June 22nd. Any DEV.to users in the GTA? 01:58 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jun 18 '19 Toronto Meetup June 22nd. Any DEV.to users in the GTA? # aws # webdev # meetup # ux 10 reactions Comments 2 comments 1 min read TV while coding? Distraction or Motivation? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jun 17 '19 TV while coding? Distraction or Motivation? # discuss # webdev 73 reactions Comments 44 comments 1 min read Its Sunday, are you coding? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jun 16 '19 Its Sunday, are you coding? # discuss # webdev 23 reactions Comments 46 comments 1 min read What gives you the most anxiety when freelancing? Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Jun 14 '19 What gives you the most anxiety when freelancing? # discuss # webdev # entrepreneur # freelance 6 reactions Comments 4 comments 1 min read RSpec - Writing Test Code In Ruby (3/3) Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Jun 13 '19 RSpec - Writing Test Code In Ruby (3/3) # beginners # ruby # testing # tutorial 33 reactions Comments 12 comments 3 min read MiniTest - Writing Test Code In Ruby (2/3) Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Jun 13 '19 MiniTest - Writing Test Code In Ruby (2/3) # beginners # ruby # testing # tutorial 36 reactions Comments 4 comments 5 min read TestUnit - Writing Test Code In Ruby (1/3) Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Jun 13 '19 TestUnit - Writing Test Code In Ruby (1/3) # beginners # ruby # testing # tutorial 91 reactions Comments 2 comments 4 min read 700+ Web Developers Asked Me To Give Them LinkedIn Profile Feedback And These Are My 🖐️ 5 Top Tips. Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro May 29 '19 700+ Web Developers Asked Me To Give Them LinkedIn Profile Feedback And These Are My 🖐️ 5 Top Tips. # career # webdev # beginners # linkedin 2159 reactions Comments 65 comments 6 min read LinkedIn is for Losers? Think Again. From 💰 100k+ to 200K+ job opportunities. 🛠 Hacks Included. Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro May 19 '19 LinkedIn is for Losers? Think Again. From 💰 100k+ to 200K+ job opportunities. 🛠 Hacks Included. # career # webdev # beginners # linkedin 803 reactions Comments 42 comments 5 min read 👶 New Baby! 👕New Shirt! 📙New AWS Course! Let's Celebrate with a Special Deal! Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro May 18 '19 👶 New Baby! 👕New Shirt! 📙New AWS Course! Let's Celebrate with a Special Deal! # news # aws # beginners # career 62 reactions Comments 13 comments 1 min read SNS vs SQS? AWS Messaging Services - Know the difference 04:19 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro May 14 '19 SNS vs SQS? AWS Messaging Services - Know the difference # aws # beginners # architect # career 72 reactions Comments 16 comments 3 min read How To Put On F*cking Stunning Tech Talks. Hacks Included 🛠 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Apr 24 '19 How To Put On F*cking Stunning Tech Talks. Hacks Included 🛠 # career # beginners # speaking # culture 204 reactions Comments 7 comments 5 min read How To Run A Modded Minecraft Server on AWS 20:58 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Apr 20 '19 How To Run A Modded Minecraft Server on AWS # aws # minecraft # devops # beginners 42 reactions Comments 18 comments 1 min read The Fast Track to Serverless Security on AWS 22:25 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Apr 19 '19 The Fast Track to Serverless Security on AWS # serverless # security # aws # devops 23 reactions Comments 1 comment 1 min read I Made It To 💯 Youtube Subscribers! Lets Celebrate 🎉 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Apr 18 '19 I Made It To 💯 Youtube Subscribers! Lets Celebrate 🎉 # junkpost # personalnews 7 reactions Comments 1 comment 1 min read How to Serve On-Demand Streaming Videos from AWS (Build Your Own Netflix) 27:31 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Apr 13 '19 How to Serve On-Demand Streaming Videos from AWS (Build Your Own Netflix) # aws # rails # webdev # devops 250 reactions Comments 18 comments 1 min read Ten AWS Services If They Were Pokémon (Amázmons?) Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Apr 8 '19 Ten AWS Services If They Were Pokémon (Amázmons?) # pokemon # aws # beginners 52 reactions Comments 3 comments 5 min read 🎉 Published My First AWS Udemy Course And I Want You To Have It For Free! 01:48 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Apr 6 '19 🎉 Published My First AWS Udemy Course And I Want You To Have It For Free! # personalnews # aws # rails # beginners 310 reactions Comments 41 comments 3 min read 5 things I wish I knew before using CloudFormation to build a CodePipeline for Lambda Functions Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Apr 4 '19 5 things I wish I knew before using CloudFormation to build a CodePipeline for Lambda Functions # cloudformation # codepipeline # aws # architect 16 reactions Comments 1 comment 3 min read 14 Practice Question Walkthrough Videos for AWS Certified Cloud Practitioner Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow for ExamPro Apr 4 '19 14 Practice Question Walkthrough Videos for AWS Certified Cloud Practitioner # aws # certification # beginners # career 21 reactions Comments 2 comments 1 min read New Feature - Short Video on Advanced Request Routing for AWS ALB 03:04 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Andrew Brown 🇨🇦 Follow Apr 2 '19 New Feature - Short Video on Advanced Request Routing for AWS ALB # aws # alb 10 reactions Comments 1 comment 1 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Forem — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Forem © 2016 - 2026. We're a blogging-forward open source social network where we learn from one another Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#axolo | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dev.to/t/storyblokchallenge | Storyblok Headless CMS Challenge - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Storyblok Headless CMS Challenge Follow Hide This is the official tag for submissions and announcements related to the Storyblok Headless CMS Challenge. Create Post Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu The Headless Revolution—Connecting Gatsby/NextJS to Your Content Alvison Hunter Arnuero | Front-End Web Developer Alvison Hunter Arnuero | Front-End Web Developer Alvison Hunter Arnuero | Front-End Web Developer Follow Dec 20 '25 The Headless Revolution—Connecting Gatsby/NextJS to Your Content # gatsby # nextjs # storyblokchallenge # djangocms Comments Add Comment 3 min read The Secret Society of the Link Layer Krisha Shah Krisha Shah Krisha Shah Follow Oct 30 '25 The Secret Society of the Link Layer # linklayer # computernetworks # storyblokchallenge # programming Comments Add Comment 4 min read How to Enable Storyblok Visual Editor in Production? Jakub Andrzejewski Jakub Andrzejewski Jakub Andrzejewski Follow Nov 17 '25 How to Enable Storyblok Visual Editor in Production? # nuxt # vue # typescript # storyblokchallenge 4 reactions Comments Add Comment 3 min read 🚀 My GSoC 2025 Journey - A Dream, A Twist & A Lesson for Life 💔 Om Sharma Om Sharma Om Sharma Follow Jul 19 '25 🚀 My GSoC 2025 Journey - A Dream, A Twist & A Lesson for Life 💔 # socialmedia # opensource # flutter # storyblokchallenge 2 reactions Comments Add Comment 2 min read ChronoWeave AI: AI-Architected Historical Content for Storyblok Phrancisco Rabello Phrancisco Rabello Phrancisco Rabello Follow Jun 30 '25 ChronoWeave AI: AI-Architected Historical Content for Storyblok # devchallenge # storyblokchallenge # webdev # api Comments Add Comment 4 min read DevFolio - Dynamic Portfolio Management System ANIRUDDHA ADAK ANIRUDDHA ADAK ANIRUDDHA ADAK Follow Jun 15 '25 DevFolio - Dynamic Portfolio Management System # devchallenge # storyblokchallenge # webdev # api Comments Add Comment 2 min read WriteWise - AI-Enhanced Blogging Platform AI Bug Slayer 🐞 AI Bug Slayer 🐞 AI Bug Slayer 🐞 Follow Jun 14 '25 WriteWise - AI-Enhanced Blogging Platform # devchallenge # storyblokchallenge # webdev # ai Comments Add Comment 2 min read Creative Agency Portfolio Hub AI Bug Slayer 🐞 AI Bug Slayer 🐞 AI Bug Slayer 🐞 Follow Jun 18 '25 Creative Agency Portfolio Hub # devchallenge # storyblokchallenge # webdev # api 3 reactions Comments Add Comment 2 min read Congrats to the Storyblok Headless CMS Challenge Winners! dev.to staff dev.to staff dev.to staff Follow for The DEV Team Jul 10 '25 Congrats to the Storyblok Headless CMS Challenge Winners! # storyblokchallenge # webdev # api # devchallenge 41 reactions Comments 16 comments 2 min read ChronoWeave AI: AI-Architected Historical Content for Storyblok Phrancisco Rabello Phrancisco Rabello Phrancisco Rabello Follow Jun 30 '25 ChronoWeave AI: AI-Architected Historical Content for Storyblok # devchallenge # storyblokchallenge # webdev # api 8 reactions Comments Add Comment 4 min read Building a Tech Conference Platform with Storyblok and AI Vivek V. Vivek V. Vivek V. Follow for AWS Community Builders Jun 30 '25 Building a Tech Conference Platform with Storyblok and AI # devchallenge # storyblokchallenge # webdev # api 18 reactions Comments 1 comment 8 min read BlokLy AI: From space to site sahra 💫 sahra 💫 sahra 💫 Follow Jun 30 '25 BlokLy AI: From space to site # devchallenge # storyblokchallenge # webdev # api 7 reactions Comments Add Comment 2 min read BlockArt: Bringing GPT-4o Image Generation to Storyblok’s CMS Younes Laaroussi Younes Laaroussi Younes Laaroussi Follow Jun 29 '25 BlockArt: Bringing GPT-4o Image Generation to Storyblok’s CMS # devchallenge # webdev # api # storyblokchallenge 7 reactions Comments 1 comment 6 min read StoryBoost: An AI-Powered Blog Assistant Built with Storyblok & Next.js Liam Dio Liam Dio Liam Dio Follow Jun 29 '25 StoryBoost: An AI-Powered Blog Assistant Built with Storyblok & Next.js # devchallenge # storyblokchallenge # webdev # api 5 reactions Comments Add Comment 2 min read Storyblok Challenge Dhara Pandya Dhara Pandya Dhara Pandya Follow Jun 29 '25 Storyblok Challenge # devchallenge # storyblokchallenge # webdev # api 3 reactions Comments Add Comment 2 min read BitcoinQuizFlow: AI-Powered Quiz Generation with Storyblok Kai Chew Kai Chew Kai Chew Follow Jun 29 '25 BitcoinQuizFlow: AI-Powered Quiz Generation with Storyblok # devchallenge # storyblokchallenge # webdev # api 5 reactions Comments Add Comment 9 min read AI Blog Studio: Multimedia Content Generation with AI & Storyblok Adam Adam Adam Follow Jun 29 '25 AI Blog Studio: Multimedia Content Generation with AI & Storyblok # devchallenge # storyblokchallenge # webdev # api 3 reactions Comments Add Comment 6 min read Using Storyblok To Manage Content. Jamal Ckuku Jamal Ckuku Jamal Ckuku Follow Jun 29 '25 Using Storyblok To Manage Content. # devchallenge # storyblokchallenge # webdev # api 3 reactions Comments Add Comment 2 min read Dagu — A blog website inspired by Afar traditional information system: My Storyblok Headless CMS Challenge Submission Akrem Muktar Akrem Muktar Akrem Muktar Follow Jun 28 '25 Dagu — A blog website inspired by Afar traditional information system: My Storyblok Headless CMS Challenge Submission # devchallenge # storyblokchallenge # webdev # api 3 reactions Comments Add Comment 2 min read Storyblok Chatbot 🤖 A Quick Assistant for Support and FAQs Sunder Kumar Sunder Kumar Sunder Kumar Follow Jun 28 '25 Storyblok Chatbot 🤖 A Quick Assistant for Support and FAQs # devchallenge # storyblokchallenge # webdev # api 3 reactions Comments Add Comment 3 min read Blok Tales: A Visual Novel Made with Storyblok Ansell Maximilian Ansell Maximilian Ansell Maximilian Follow Jun 26 '25 Blok Tales: A Visual Novel Made with Storyblok # devchallenge # storyblokchallenge # webdev # api 21 reactions Comments 3 comments 6 min read Restaurant Website Builder Michael Michael Michael Follow Jun 30 '25 Restaurant Website Builder # devchallenge # storyblokchallenge # webdev # api 5 reactions Comments 1 comment 3 min read 🔥Storyblok MCP Server: Let AI Agents Manage Your Content 🤖 Kiran Naragund Kiran Naragund Kiran Naragund Follow Jun 23 '25 🔥Storyblok MCP Server: Let AI Agents Manage Your Content 🤖 # devchallenge # storyblokchallenge # webdev # api 111 reactions Comments 25 comments 7 min read 🕹️ History of Game Consoles – A Visual Timeline Powered by Storyblok James Moro James Moro James Moro Follow Jun 19 '25 🕹️ History of Game Consoles – A Visual Timeline Powered by Storyblok # devchallenge # storyblokchallenge # webdev # api 30 reactions Comments 14 comments 2 min read Map Location Picker Plugin Michael Michael Michael Follow Jun 22 '25 Map Location Picker Plugin # devchallenge # storyblokchallenge # webdev # api 12 reactions Comments Add Comment 3 min read loading... trending guides/resources How to Enable Storyblok Visual Editor in Production? The Secret Society of the Link Layer The Headless Revolution—Connecting Gatsby/NextJS to Your Content 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-es#pricing | Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor: ¿Cuál es la mejor herramienta de codificación AI para ti? Las herramientas de codificación impulsadas por AI están ganando terreno en el mundo del desarrollo, facilitando a los desarrolladores escribir, depurar y gestionar código. Tres de las plataformas líderes en este espacio son Fine, Replit y Cursor, todas ofreciendo características de codificación asistida por AI. Sin embargo, con estos avances vienen diferencias clave que hacen que cada plataforma sea más adecuada para diferentes tipos de desarrolladores. En este blog, desglosaremos Replit y Cursor, examinaremos sus similitudes y diferencias, y explicaremos por qué Fine es una alternativa superior. Tabla de Contenidos Introducción a Replit Introducción a Cursor Similitudes entre Replit y Cursor Diferencias entre Replit y Cursor Por qué elegir Cursor sobre Replit Por qué elegir Replit sobre Cursor Por qué Fine es una mejor opción Introducción a Replit Replit es un entorno de desarrollo integrado (IDE) basado en navegador que recientemente lanzó características impulsadas por AI, ofreciendo autocompletado, depuración y generación de documentación. Diseñado para hacer la codificación accesible tanto a principiantes como a profesionales, Replit proporciona capacidades de colaboración en tiempo real, convirtiéndolo en una opción ideal para proyectos en equipo o propósitos educativos. Permite a los desarrolladores escribir código rápidamente, generar pruebas y configurar APIs sin configuraciones complejas. Con su amplio soporte para múltiples lenguajes de programación, Replit es una opción flexible para diversas tareas de codificación. Introducción a Cursor Cursor es un editor de código impulsado por AI que fue construido como un fork del popular IDE, VSCode. Ofrece autocompletado avanzado de código, refactorización inteligente de código y edición en lenguaje natural. Cursor también enfatiza la seguridad, con certificación SOC 2, haciéndolo adecuado para equipos que necesitan estrictas medidas de privacidad de datos. Mientras que Cursor puede ser usado como un editor independiente, es especialmente valioso para desarrolladores que ya trabajan en un entorno como VSCode, permitiéndoles integrar asistencia AI sin interrumpir su flujo de trabajo. Similitudes entre Replit y Cursor Tanto Replit como Cursor se centran en ayudar a los desarrolladores a agilizar su flujo de trabajo a través de AI. Aquí hay algunas similitudes clave: Generación de Código Asistida por AI : Ambas plataformas utilizan AI para generar código basado en comandos en lenguaje natural, reduciendo significativamente el tiempo que los desarrolladores pasan escribiendo fragmentos de código básicos. Fine también puede escribir código por ti, tomando un problema de Linear, GitHub o Jira y convirtiéndolo en un PR. Autocompletado y Depuración : Replit y Cursor ofrecen autocompletado inteligente de código y detección de errores, acelerando el proceso de desarrollo y ayudando a los desarrolladores a detectar errores temprano. Características de Colaboración : Mientras que Replit ofrece colaboración en tiempo real directamente en el navegador, Cursor es un fork de VSCode. Diferencias entre Replit y Cursor Integración de Plataforma : Replit es un IDE en línea completo, lo que significa que los usuarios pueden comenzar a codificar directamente en el navegador sin configurar un entorno local. Cursor, por otro lado, es más adecuado para aquellos que ya tienen una configuración de desarrollo preferida en VSCode y quieren permanecer en ese entorno familiar. Colaboración y Facilidad de Uso : El entorno en navegador de Replit ofrece características de colaboración en tiempo real integradas, lo que lo hace más accesible para equipos o aulas. Cursor, aunque colaborativo, requiere configuración adicional para extensiones y puede ser más adecuado para desarrolladores familiarizados con configuraciones avanzadas. Por qué elegir Cursor sobre Replit Seguridad : Para desarrolladores o equipos que requieren medidas de seguridad estrictas, la certificación SOC 1 de Cursor lo convierte en la opción más confiable. Replit tiene certificación SOC 2 para clientes empresariales en la mayoría de su plataforma, pero no está claro si eso incluye la nueva suite AI. Integración con Herramientas Existentes : Si ya estás usando VSCode u otro entorno de desarrollo local, la integración sin problemas de Cursor te permite llevar la asistencia AI a tu flujo de trabajo actual sin cambiar tu configuración, mucho. Fine no requiere cambiar tu IDE en absoluto: colabora con Fine donde normalmente colaboras con compañeros de equipo. Refactorización de Código : Cursor sobresale en asistir con la refactorización de código y mejorar bases de código heredadas, ofreciendo sugerencias inteligentes que ayudan a mantener la calidad del código a lo largo del tiempo. Por qué elegir Replit sobre Cursor IDE Completamente Integrado : Para desarrolladores que quieren una solución todo en uno sin necesidad de instalar software adicional o gestionar extensiones, el entorno basado en navegador de Replit es una excelente opción. Te permite comenzar a codificar desde cualquier lugar, sin la molestia de la configuración. Amigable para Principiantes : La interfaz intuitiva de Replit y su extensa documentación lo convierten en una gran opción para principiantes o educadores. Sus herramientas de colaboración fáciles de usar también lo hacen ideal para proyectos grupales o entornos de aprendizaje. Colaboración en Tiempo Real : Replit brilla en entornos de equipo, ofreciendo una característica de colaboración en tiempo real simplificada que funciona sin problemas en navegadores. Esto es especialmente útil para proyectos donde múltiples desarrolladores necesitan trabajar juntos en tiempo real. Por qué Fine es una Mejor Opción Mientras que tanto Replit como Cursor ofrecen características atractivas, Fine lleva la codificación asistida por AI un paso más allá al proporcionar automatización avanzada y un conjunto más completo de herramientas adaptadas para equipos de desarrollo. Aquí está por qué Fine es una mejor alternativa: Automatización Superior del Flujo de Trabajo : La AI de Fine no solo asiste con la generación de código y la depuración, sino que también automatiza flujos de trabajo enteros, reduciendo el tiempo que los desarrolladores pasan en tareas repetitivas. Resumen de Pull Requests (PR) : Fine puede resumir pull requests y ayudar a los desarrolladores a centrarse en decisiones de alto nivel revisando código que ya ha sido probado y validado, una característica no disponible en Replit o Cursor. Personalizable para Equipos : Fine está diseñado para escalar con equipos, ofreciendo poderosas herramientas para el desarrollo colaborativo que se integran sin problemas con procesos existentes. Su AI puede asistir en la revisión y mejora del código, permitiendo a los equipos trabajar más rápido y eficientemente. Conciencia de Contexto Completo : Fine se integra con GitHub, Linear, Sentry y más, permitiendo al usuario activar la AI donde sea que estén trabajando y usar información en plataformas externas como contexto. Uso Ilimitado de LLM Premium Fine no limita cuánto pueden acceder los suscriptores pagos a OpenAI's o1 o Claude 3.5 Sonnet, los LLM líderes para el desarrollo de software. Muchas otras plataformas requieren que el usuario proporcione sus propias claves API para OpenAI y/o Anthropic y por lo tanto pagar por uso además de la suscripción mensual. En conclusión, tanto Replit como Cursor ofrecen sólidas soluciones de codificación impulsadas por AI con fortalezas únicas. Sin embargo, Fine ofrece una experiencia AI más completa y enfocada en equipos que puede mejorar la productividad mucho más allá de lo que cualquiera de las plataformas actualmente proporciona. Ya sea que seas un desarrollador en solitario o estés gestionando un gran equipo de desarrollo, las características AI de Fine y la automatización avanzada del flujo de trabajo lo convierten en una opción superior para aquellos que buscan optimizar su proceso de desarrollo. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://github.com/SivaramPg | SivaramPg (Sivaram Pandariganthan) · GitHub Skip to content Navigation Menu Toggle navigation Sign in Appearance settings Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Spark Build and deploy intelligent apps GitHub Models Manage and compare prompts MCP Registry New Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI/CD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... --> Search Clear Search syntax tips Provide feedback --> We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly --> Name Query To see all available qualifiers, see our documentation . Cancel Create saved search Sign in Sign up Appearance settings Resetting focus You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} SivaramPg Follow Overview Repositories 20 Projects 0 Packages 0 Stars 163 More Overview Repositories Projects Packages Stars SivaramPg Follow 🧱 Building Sivaram Pandariganthan SivaramPg 🧱 Building Follow Full Stack Engineer. Consultant. Systems Architect. Designing & Developing Blockchain & AI E2E Solutions. De-risking Ambiguity. 14 followers · 39 following https://sivaramp.com X @SivaramPg https://dev.to/sivarampg Achievements x2 Achievements x2 Block or Report Block or report SivaramPg --> Block user Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users . You must be logged in to block users. Add an optional note Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you. Block user Report abuse Contact GitHub support about this user’s behavior. Learn more about reporting abuse . Report abuse Overview Repositories 20 Projects 0 Packages 0 Stars 163 More Overview Repositories Projects Packages Stars SivaramPg / README .md Hi 👋, I'm Sivaram Pandariganthan Full stack developer, specializing in React based frontends, with a keen eye on functionality & performance. Pinned Loading swapi.info swapi.info Public All the Star Wars data you've ever wanted :) Swapi.info is an open-source, FREE, JSON-only, CDN-powered, Wicked-fast, Unrestricted Star Wars data API endpoints provider. TypeScript 21 8 how-much-logs-can-a-keylogger-log-if-a-keylogger-could-log-logs how-much-logs-can-a-keylogger-log-if-a-keylogger-could-log-logs Public how-much-logs-can-a-keylogger-log-if-a-keylogger-could-log-logs TypeScript 2 branchyard branchyard Public Your shipyard for parallel development workflows. Maintain your digital yard with clean branches, productive workflows, and AI-era readiness TypeScript 14 1 v3-sivaramp-com v3-sivaramp-com Public Version 3 of my portfolio website Astro pdf-qr-code-extractor pdf-qr-code-extractor Public Extract QR Codes from PDF Files. JavaScript 8 6 Something went wrong, please refresh the page to try again. If the problem persists, check the GitHub status page or contact support . Uh oh! There was an error while loading. Please reload this page . Footer © 2026 GitHub, Inc. Footer navigation Terms Privacy Security Status Community Docs Contact Manage cookies Do not share my personal information You can’t perform that action at this time. | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#october-claude-update | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#coderabbit | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#pricing | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#which-model-is-better-for-coding | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dev.to/pavanbelagatti/model-context-protocol-mcp-8-mcp-servers-every-developer-should-try-5hm2#:~:text=MCP%20simplifies%20the%20lives%20of,a%20consistent%20and%20scalable%20manner | Model Context Protocol (MCP): 8 MCP Servers Every Developer Should Try! - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Pavan Belagatti Posted on Apr 14, 2025 • Edited on Apr 21, 2025 Model Context Protocol (MCP): 8 MCP Servers Every Developer Should Try! # ai # datascience # softwaredevelopment # developer Well, looks like the AI community is the happiest right now as more sophisticated LLMs are getting introduced very often these days. Just recently, we saw how DeepSeek took the whole world by storm and then came Llama 4 by Meta along with the Gemma 3 model making some good noise. But now, to extend the concept of AI automation, there is a new kid in the AI town, model context protocol (MCP). As AI capabilities continue to transform software development workflows, Model Control Protocol (MCP) servers have emerged as essential infrastructure for developers looking to harness the power of large language models in production environments. Let's understand what is MCP and what are some good MCP servers every developer should know. A Gentle Introduction to Model Context Protocol ('MCP') MCP has rapidly gained traction in the AI community due to its ability to standardize how AI models interact with external tools, fetch data, and execute operations. Think of MCP (Model Context Protocol) like a USB-C port for AI applications. MCP, which started as a project by Anthropic, is now the talk of the town. Even though it was introduced a few months ago, developers have gradually begun to understand its importance. Its a protocol that’s trying to standardize how LLMs access external data and tools. So why everyone is talking about MCP suddenly? Image credits: Model Context Protocol MCP simplifies the lives of developers by providing a standardised protocol for integrating AI agents with external tools and data sources. It promotes interoperability, reduces the need for custom integrations, and streamlines AI application development. MCP acts as a universal adapter, enabling LLMs to access real-world data and perform actions in a consistent and scalable manner. MCP offers benefits such as enhanced context awareness, streamlined development, and improved security, making it a valuable tool for AI tool integration. The goal is for MCP to be the USB-C of AI, allowing for standardised AI model interactions. MCP fosters an ecosystem of reusable connectors, allowing developers to build once and reuse them across multiple LLMs and clients, eliminating the need to rewrite the same integration in numerous ways. This unified data access means that with MCP, one protocol is configured, and then the LLM can "see" all registered connectors. For example, now MCP servers let you connect Claude to powerful tools like GitHub, Slack, and Google Maps. These integrations help you save time, streamline workflows, and focus on what matters most. MCP Architecture: The MCP architecture is composed of three core components: MCP host, MCP client, and MCP server . These components collaborate to facilitate seamless communication between AI applications, external tools, and data sources, ensuring that operations are secure and properly managed. Image credits: MCP Research Paper As shown in the image, in a typical workflow, the user sends a prompt to the MCP client, which analyzes the intent, selects the appropriate tools via the MCP server, and invokes external APIs to retrieve and process the required information before notifying the user of the results. ⮕ MCP Host : The MCP host is an AI application that provides the environment for executing AI-based tasks while running the MCP client. It integrates interactive tools and data to enable smooth communication with external services. ⮕ MCP Client : The MCP client acts as an intermediary within the host environment, managing communication between the MCP host and one or more MCP servers. It initiates requests to MCP servers, queries available functions, and retrieves responses that describe the server’s capabilities. This ensures seamless interaction between the host and external tools. ⮕ MCP Server : The MCP server enables the MCP host and client to access external systems and execute operations, offering three core capabilities: tools, resources, and prompts. Use Cases: ➤ OpenAI : MCP Integration in AI Agents and SDKs. OpenAI has adopted MCP to standardize AI-to-tool communication, recognizing its potential to enhance integration with external tools. ➤ Cursor : Enhancing Software Development with MCP-Powered Code Assistants. Cursor uses MCP to enhance software development by enabling AI-powered code assistants that automate complex tasks. ➤ Cloudflare : Remote MCP Server Hosting and Scalability. Cloudflare has played a pivotal role in transforming MCP from a local deployment model to a cloud-hosted architecture by introducing remote MCP server hosting. 8 MCP Servers You Should Know 1. Slack MCP Server The Slack MCP Server integrates AI assistants into Slack workspaces, enabling real-time message posting, user profile retrieval, channel management, and emoji reactions for seamless collaboration. Why it's essential : Developers need this MCP server to automate workflows and enhance team productivity within Slack environments. By enabling AI to interact directly with Slack's infrastructure, it eliminates repetitive communication tasks and creates intelligent workflows that respond to team activities in real-time. Custom notifications, automated responses to queries, and data aggregation from multiple channels become possible without human intervention. For development teams using Slack as their primary communication hub, this integration bridges the gap between conversation and action, allowing AI to become a proactive team member rather than just a passive tool. Get Slack MCP Server. 2. GitHub MCP Server The GitHub MCP Server integrates AI with GitHub's API to manage repositories, issues, pull requests, branches, and releases with robust authentication and error handling. Why it's essential : This server transforms how developers interact with code repositories by enabling AI to perform complex GitHub operations autonomously. It's crucial for maintaining code quality by automating pull request reviews, detecting potential bugs, and ensuring consistent development practices across teams. The GitHub MCP enables intelligent issue triaging, automated dependency updates, and proactive security vulnerability scanning without manual intervention. For organizations managing multiple repositories, it provides unprecedented efficiency by handling routine maintenance tasks, generating insightful analytics on development patterns, and even suggesting optimal reviewer assignments based on expertise and workload distribution. Get GitHub MCP Server. 3. Brave Search MCP Server The Brave Search MCP Server provides web and local search capabilities with pagination, filtering, safety controls, and smart fallbacks for comprehensive and flexible search experiences. Why it's essential : Developers require this server to equip their AI applications with powerful, privacy-focused search capabilities that go beyond basic queries. The Brave Search MCP delivers context-aware results that understand user intent while maintaining strict privacy standards, making it ideal for applications where data protection is paramount. Its advanced filtering capabilities enable precise information retrieval tailored to specific domains, technical documentation, or code examples. The built-in fallback mechanisms ensure consistent performance even when primary search methods fail, providing resilience essential for production applications. For developers building knowledge management tools, research assistants, or technical documentation systems, this server provides the comprehensive search infrastructure needed without sacrificing user privacy. Get Brave Search MCP Server. 4. Docker MCP Server The Docker MCP Server executes isolated code in Docker containers, supporting multi-language scripts, dependency management, error handling, and efficient container lifecycle operations. Why it's essential : This server is indispensable for developers who need secure, isolated environments for executing untrusted or experimental code through AI interfaces. It solves the critical challenge of running arbitrary code with proper sandboxing, preventing security vulnerabilities while still enabling powerful computation capabilities. By managing container lifecycles automatically, it eliminates resource leaks and optimizes infrastructure costs in production environments. The multi-language support means teams can work with their preferred technologies without compromise, while dependency isolation prevents the "works on my machine" problem plaguing development teams. For applications requiring code execution as part of their functionality, this MCP server provides the infrastructure backbone that balances security, flexibility, and performance. Get Docker MCP Server. 5. SingleStore MCP Server The SingleStore MCP Server interacts with SingleStore databases, enabling table listing, schema queries, SQL execution, ER diagram generation, and SSL-secured connections. Why it's essential : Database operations remain central to application development, and this MCP server revolutionizes how developers interact with data infrastructure through AI. It enables natural language querying of complex database structures, automatic schema optimization suggestions, and intelligent data modeling that would typically require database administrator expertise. For teams working with high-performance analytics applications, the SingleStore MCP provides crucial capabilities for managing distributed SQL workloads while maintaining security through encrypted connections. The ability to generate entity-relationship diagrams from existing schemas dramatically accelerates documentation efforts and knowledge transfer between team members. As applications grow increasingly data-intensive, this server becomes the critical link between AI capabilities and database performance optimization. Get SingleStore MCP Server . Know more about SingleStore MCP server. Presenting SingleStore’s MCP Server We’re excited to launch our open-source MCP server for SingleStore, enabling AI-driven database management. Now, users can interact with their SingleStore instances, like retrieving data, managing workspaces and running queries, simply by chatting with AI assistants like Claude or Cursor. singlestore.com 6. DuckDuckGo Search MCP Server The DuckDuckGo Search MCP Server offers organic web search results with options for news, videos, images, safe search levels, date filters, and caching mechanisms. Why it's essential : Privacy-conscious developers need this server to provide search functionality without compromising user data. Unlike other search providers, DuckDuckGo's privacy-first approach makes this MCP ideal for applications where user trust is paramount. The specialized search types (news, videos, images) enable developers to create targeted information retrieval systems that deliver precisely what users need without overwhelming them with irrelevant content. The customizable safe search levels are crucial for applications serving diverse audiences, including educational platforms and family-friendly services. The intelligent caching mechanisms significantly reduce API costs and improve response times in production environments, making this server not just a privacy choice but also a performance optimization tool. Get DuckDuckGo Search MCP Server . 7. Cloudflare MCP Server The Cloudflare MCP Server provides AI integration with Cloudflare's services for DNS management and security features to optimize web infrastructure tasks. Why it's essential : Web infrastructure management requires constant vigilance and optimization, making this MCP server invaluable for developers maintaining production systems. It enables AI-driven security response to emerging threats, automatically adjusting firewall rules and protection levels based on real-time attack patterns without human intervention. For global applications, it optimizes content delivery network settings to improve performance across diverse geographic regions and network conditions. The automated DNS management capabilities eliminate error-prone manual configurations while enabling intelligent traffic routing during deployments or outages. As cyber threats become more sophisticated, this server provides the critical link between AI threat detection and infrastructure protection, allowing development teams to focus on building features rather than constantly managing security configurations. Get Cloudflare MCP Server . 8. Vectorize MCP Server The Vectorize MCP Server connects AI assistants to organization data, enabling vector searches, deep research report generation, and text extraction from unstructured documents like PDFs with secure access to knowledge bases. Why it's essential : Developers require this server to bridge the critical gap between AI systems and organizational knowledge, transforming static AI into dynamic assistants with real-time access to company data. Without vector search capabilities, AI applications remain limited to their training data, unable to reference your most current documentation, research, or domain-specific information. The deep research functionality enables AI to produce comprehensive analyses combining multiple sources, essential for complex decision support systems. For companies with substantial unstructured data in PDFs and documents, the text extraction capabilities unlock previously inaccessible information. As organizations increasingly rely on proprietary knowledge as a competitive advantage, this MCP server ensures AI applications can securely leverage these assets without compromising data security. Get Vectorize MCP Server . Know more about MCP in my hands-on video. The MCP servers highlighted in this article represent a fundamental shift in how developers can leverage AI capabilities within their existing toolchains. By providing structured, reliable interfaces to essential services like code repositories, communication platforms, search engines, and infrastructure tools, these servers enable developers to create more intelligent, responsive, and automated workflows. The true power lies in combining these servers to create end-to-end solutions that can understand context across different systems and take appropriate actions. As AI continues to evolve, adopting these MCP servers today positions development teams to build the next generation of software solutions that blend human creativity with machine intelligence for unprecedented productivity and innovation. Top comments (5) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Gregory Magnusson Gregory Magnusson Gregory Magnusson Follow I started out at the beginning and intend to ride this out until the end Joined Jul 22, 2024 • Apr 17 '25 Dropdown menu Copy link Hide Good insights. Thanks. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Dmitry Sergeev Dmitry Sergeev Dmitry Sergeev Follow Joined Apr 21, 2025 • Apr 21 '25 Dropdown menu Copy link Hide try desktop commander mcp, its mind blow! i switched from cursor/windsurf to this mcp for unlimited tokens Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Sam Diki Sam Diki Sam Diki Follow Joined Apr 11, 2025 • Apr 22 '25 Dropdown menu Copy link Hide Great topic Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand saroj-pattnaik saroj-pattnaik saroj-pattnaik Follow Joined Apr 19, 2025 • Apr 19 '25 Dropdown menu Copy link Hide Great insights. Thanks. Like comment: Like comment: 2 likes Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Pavan Belagatti Follow Developer Advocate| Learning AI/ML/DataScience Education Computer Engineering & MBA Work GenAI Evangelist! Joined Apr 22, 2018 More from Pavan Belagatti LangChain vs LangGraph: How to Choose the Right AI Framework! # ai # llm # rag # agents Transformers: The Magic Engine Behind ChatGPT, Gemini & Every Modern AI Model! # chatgpt # llm # ai # gpt3 What is Context Engineering! # mcp # ai # agents # beginners 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#bito | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#ai-model-used-by-tools | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/pr-review-tools-comparison#codium | Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing the Best AI-Powered PR Review Tools for 2024: Fine, CodeRabbit, Bito, Codium, Cursor, and Axolo Comparing AI-Powered PR Review Tools With the growing demand for automated tools to streamline the pull request (PR) review process, several platforms have emerged to provide AI-powered PR reviews. In this comprehensive comparison, we analyze six leading tools: Fine , CodeRabbit , Bito , Codium , Cursor , and Axolo . Each tool offers unique strengths and features tailored to improving your code review process. Table of Contents Fine CodeRabbit Bito Codium Cursor Axolo Why You Should Be Using AI Code Review Tools 1. Fine Overview: Fine excels in AI-driven PR reviews, offering seamless integration with GitHub and accurate, detailed feedback. As well as reviewing and offering suggestions, with Fine you can get a summary and explanation added to each PR, making it easier to understand larger PRs. Fine also offers an automated workflow that reviews each PR as and when it’s submitted and recommends using it as a “pre-review” step to save senior devs time. Setting it up will be simple for anyone who has used no-code automation tools such as Zapier in the past. Finally, Fine allows you to apply specific rules to your agentic PR review workflow, to account for your specific style. Whether you're managing a large team or working on small projects, Fine delivers a superior code review experience. The great thing about Fine’s PR reviews is that the automations are repository-wide or workspace-wide, meaning only one user needs Fine, but the entire team can benefit from AI PR reviews. Key Features: Cloud-based: Fine is cloud-based and can review PRs asynchronously, without needing to be triggered. Fast & Accurate Reviews: Fine’s AI quickly highlights potential issues and generates accurate suggestions, reducing noise and irrelevant recommendations. User-Friendly: With no complex configurations required, Fine is easy to implement across teams of all sizes. Back to Table of Contents 2. CodeRabbit Overview: CodeRabbit helps streamline code reviews by offering line-by-line feedback and auto-generated summaries of PRs. Its conversational feedback feature within GitHub allows for real-time interaction with AI, making it easier for developers to ask questions and receive contextual insights during the review process. Drawbacks: Though powerful, CodeRabbit has limitations when reviewing larger context windows and can occasionally provide inaccurate feedback, requiring manual checks. It doesn’t seem to perform any indexing of your codebase and limits itself to review only the PR at hand - but may therefore miss issues where the PR relates to existing code in other areas (e.g. NameErrors). In addition, at $12 per month for just code reviews with no additional features, it works out as an expensive subscription where other platforms offer more value for a similar price. Back to Table of Contents 3. Bito Overview: Bito’s PR-Agent is a feature-rich AI assistant for PR reviews, offering capabilities like auto-generating descriptions and updating changelogs. Bito integrates smoothly with platforms like GitHub, GitLab, and offers an on-prem enterprise solution. It’s available in your IDE or in your Git workflow, offering flexibility. The Code Review Agent is only available on the paid plan, at $15 per month, and doesn’t currently support o1 as far as we can see. They also limit the amount of GPT-4 requests per month, with extra requests charged at $0.03 each. 4. Codium Overview: Codium’s PR-Agent, launched September 2024, focuses on improving code quality and security with detailed suggestions and incremental reviews. There are open-source and paid options, both ideal for teams that need thorough analysis on each commit, ensuring that code quality remains high across all updates. Codium offers self-hosted options for larger companies. They also offer a Chrome extension for interacting with GitHub. The full capabilities of Codium’s PR agent, including SOC2 compliance, adding PR documentation, and analyzing components, are available with the premium subscription which comes in at $19 per user per month. Only licensed users will get feedback on their PRs. 5. Cursor Overview: Although Cursor took the internet by storm for its ability to generate code from scratch, we’re yet to see the celebrity AI tool release a code review feature to the public. In 2023 there were Beta versions which received many complaints but currently it doesn’t seem to be part of Cursor’s offering. Stay tuned to see if they catch up in this key area. 6. Axolo Overview: Axolo enhances PR review collaboration by creating a dedicated Slack channel for every pull request. It allows teams to discuss PRs in real time, track changes, and receive updates on CI pipelines directly within Slack, keeping everyone in sync. The purpose of Axolo is to ensure that the work of reviewing PRs is shared efficiently and to remind people to do their reviews. Axolo isn’t a tool that does the reviewing for you, but rather integrates with other platforms to oil the process and keep you on top of the work. Combining it with a powerful AI review tool such as Fine should unlock highly increased productivity. Axolo offers 50 PR channels per month for free, a fully free option for open-source and paid options for $10 a month which, for the potential productivity gains, sounds like a great deal. Back to Table of Contents Why You Should Be Using AI Code Review Tools AI code review tools are rapidly transforming the way developers approach pull requests (PRs). By automating time-consuming tasks like identifying errors, generating code suggestions, and reviewing changes line by line, these tools significantly reduce the workload for development teams. AI ensures that simple mistakes—such as typos or missing semicolons—are caught immediately, improving the quality of code before it ever reaches production. Additionally, AI excels at detecting edge cases that even experienced developers may overlook, thus enhancing the overall security and performance of software. Automating PR reviews not only speeds up the development process but also helps maintain a competitive edge in the market. With AI handling the repetitive aspects of code reviews, developers can focus on more creative and complex tasks, such as implementing new features or solving critical bugs. Why Startups Should Be Using Fine for PR Reviews For startups, time and resources are precious. Fine is an AI-powered PR review tool that can help startups by automatically catching common errors and suggesting quick fixes, allowing developers to spend less time on code reviews and more time building the product. Fine's AI also ensures that edge cases are addressed, reducing the likelihood of bugs making it to production. This leads to faster product iterations and fewer costly fixes down the line, which is essential for maintaining momentum and competitiveness in fast-moving industries. Why Software Development Agencies Should Be Using AI for PR Reviews Software development agencies often juggle multiple client projects simultaneously. By leveraging AI for PR reviews, agencies can reduce the workload of their development teams by automating repetitive tasks. AI tools not only speed up code reviews but also catch issues like code quality, security vulnerabilities, and missed edge cases that could otherwise lead to costly bugs for clients. Using AI-driven tools allows agencies to deliver high-quality code faster, which helps retain clients and build a strong reputation. By reducing the manual labor involved in code reviews, agencies can also scale their operations more efficiently, taking on more projects without compromising quality. This helps maintain a competitive edge in a market where speed and reliability are key. Conclusion Each of these AI-powered PR review tools offers unique features and benefits. However, Fine stands out by combining speed, accuracy, and privacy, making it the best choice for developers and teams looking to streamline their code review processes in 2024. What PR review tool are you using, and how has it helped your development workflow? Try Fine out today, for free. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/replit-vs-cursor-fr#why-fine | Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor : Quel outil de codage IA est le meilleur pour vous ? Les outils de codage alimentés par l'IA gagnent du terrain dans le monde du développement, facilitant l'écriture, le débogage et la gestion du code pour les développeurs. Trois des principales plateformes dans cet espace sont Fine, Replit et Cursor, offrant toutes des fonctionnalités de codage assistées par l'IA. Cependant, avec ces avancées viennent des différences clés qui rendent chaque plateforme plus adaptée à différents types de développeurs. Dans ce blog, nous allons décomposer Replit et Cursor, examiner leurs similitudes et différences, et expliquer pourquoi Fine est une alternative supérieure. Table des matières Introduction à Replit Introduction à Cursor Similitudes entre Replit et Cursor Différences entre Replit et Cursor Pourquoi choisir Cursor plutôt que Replit Pourquoi choisir Replit plutôt que Cursor Pourquoi Fine est un meilleur choix Introduction à Replit Replit est un environnement de développement intégré (IDE) basé sur le navigateur qui a récemment lancé des fonctionnalités alimentées par l'IA, offrant l'autocomplétion, le débogage et la génération de documentation. Conçu pour rendre le codage accessible aux débutants comme aux professionnels, Replit offre des capacités de collaboration en temps réel, ce qui en fait un incontournable pour les projets d'équipe ou les fins éducatives. Il permet aux développeurs d'écrire rapidement du code, de générer des tests et de configurer des API sans configurations complexes. Avec son large support pour plusieurs langages de programmation, Replit est un choix flexible pour des tâches de codage variées. Introduction à Cursor Cursor est un éditeur de code alimenté par l'IA qui a été construit comme un fork de l'IDE populaire, VSCode. Il offre une complétion de code avancée, un refactoring de code intelligent et une édition en langage naturel. Cursor met également l'accent sur la sécurité, avec une certification SOC 2, ce qui le rend adapté aux équipes nécessitant une stricte confidentialité des données. Bien que Cursor puisse être utilisé comme un éditeur autonome, il est particulièrement précieux pour les développeurs travaillant déjà dans un environnement comme VSCode, leur permettant d'intégrer l'assistance IA sans perturber leur flux de travail. Similitudes entre Replit et Cursor Replit et Cursor se concentrent tous deux sur l'aide aux développeurs pour rationaliser leur flux de travail grâce à l'IA. Voici quelques similitudes clés : Génération de code assistée par l'IA : Les deux plateformes utilisent l'IA pour générer du code basé sur des invites en langage naturel, réduisant considérablement le temps que les développeurs passent à écrire des extraits de code de base. Fine peut également écrire du code pour vous, transformant un problème de Linear, GitHub ou Jira en une PR. Autocomplétion et débogage : Replit et Cursor offrent tous deux une complétion de code intelligente et une détection d'erreurs, accélérant le processus de développement et aidant les développeurs à détecter les erreurs tôt. Fonctionnalités de collaboration : Bien que Replit offre une collaboration en temps réel directement dans le navigateur, Cursor est un fork de VSCode. Différences entre Replit et Cursor Intégration de la plateforme : Replit est un IDE en ligne à part entière, ce qui signifie que les utilisateurs peuvent commencer à coder directement dans le navigateur sans configurer un environnement local. Cursor, en revanche, est plus adapté à ceux qui ont déjà un environnement de développement préféré dans VSCode et souhaitent rester dans cet environnement familier. Collaboration et facilité d'utilisation : L'environnement en ligne de Replit offre des fonctionnalités de collaboration en temps réel intégrées, ce qui le rend plus accessible pour les équipes ou les salles de classe. Cursor, bien que collaboratif, nécessite une configuration supplémentaire pour les extensions et peut être mieux adapté aux développeurs familiers avec des configurations avancées. Pourquoi choisir Cursor plutôt que Replit Sécurité : Pour les développeurs ou les équipes nécessitant des mesures de sécurité strictes, la certification SOC 1 de Cursor en fait le choix le plus fiable. Replit détient la certification SOC 2 pour les clients d'entreprise sur la plupart de leur plateforme, mais il n'est pas clair si cela inclut la nouvelle suite IA. Intégration avec les outils existants : Si vous utilisez déjà VSCode ou un autre environnement de développement local, l'intégration transparente de Cursor vous permet d'apporter une assistance IA à votre flux de travail actuel sans changer votre configuration, beaucoup. Fine ne nécessite pas de changer votre IDE du tout - collaborez avec Fine où que vous collaboriez habituellement avec vos coéquipiers. Refactoring de code : Cursor excelle dans l'assistance au refactoring de code et à l'amélioration des bases de code héritées, offrant des suggestions intelligentes qui aident à maintenir la qualité du code au fil du temps. Pourquoi choisir Replit plutôt que Cursor IDE entièrement intégré : Pour les développeurs qui veulent une solution tout-en-un sans avoir besoin d'installer des logiciels supplémentaires ou de gérer des extensions, l'environnement basé sur le navigateur de Replit est un excellent choix. Il vous permet de commencer à coder de n'importe où, sans les tracas de la configuration. Convient aux débutants : L'interface intuitive de Replit et sa documentation étendue en font une excellente option pour les débutants ou les éducateurs. Ses outils de collaboration faciles à utiliser le rendent également idéal pour les projets de groupe ou les environnements d'apprentissage. Collaboration en temps réel : Replit brille dans les environnements d'équipe, offrant une fonctionnalité de collaboration en temps réel rationalisée qui fonctionne parfaitement sur les navigateurs. Cela est particulièrement utile pour les projets où plusieurs développeurs doivent travailler ensemble en temps réel. Pourquoi Fine est un meilleur choix Bien que Replit et Cursor offrent tous deux des fonctionnalités de codage alimentées par l'IA convaincantes, Fine va plus loin en fournissant une automatisation avancée et un ensemble d'outils plus complet adapté aux équipes de développement. Voici pourquoi Fine est une meilleure alternative : Automatisation supérieure du flux de travail : L'IA de Fine n'assiste pas seulement à la génération de code et au débogage, mais automatise également des flux de travail entiers, réduisant le temps que les développeurs passent sur des tâches répétitives. Résumé des demandes de tirage (PR) : Fine peut résumer les demandes de tirage et aider les développeurs à se concentrer sur les décisions de haut niveau en examinant le code qui a déjà été testé et validé, une fonctionnalité non disponible dans Replit ou Cursor. Personnalisable pour les équipes : Fine est conçu pour évoluer avec les équipes, offrant des outils puissants pour le développement collaboratif qui s'intègrent parfaitement aux processus existants. Son IA peut aider à examiner et à améliorer le code, permettant aux équipes de travailler plus rapidement et plus efficacement. Conscience contextuelle complète : Fine s'intègre à GitHub, Linear, Sentry et plus encore, permettant à l'utilisateur d'activer l'IA où qu'il travaille et d'utiliser les informations sur les plateformes externes comme contexte. Utilisation illimitée des LLM Premium Fine ne limite pas combien les abonnés payants peuvent accéder à o1 d'OpenAI ou à Claude 3.5 Sonnet, les principaux LLM pour le développement logiciel. De nombreuses autres plateformes exigent que l'utilisateur fournisse ses propres clés API pour OpenAI et/ou Anthropic et paie donc par utilisation en plus de l'abonnement mensuel. En conclusion, Replit et Cursor offrent tous deux des solutions de codage alimentées par l'IA solides avec des forces uniques. Cependant, Fine offre une expérience IA plus complète et axée sur l'équipe qui peut améliorer la productivité bien au-delà de ce que l'une ou l'autre plateforme fournit actuellement. Que vous soyez un développeur solo ou que vous gériez une grande équipe de développement, les fonctionnalités IA de Fine et l'automatisation avancée du flux de travail en font un choix supérieur pour ceux qui cherchent à optimiser leur processus de développement. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://dumb.dev.to/latest#main-content | DUMB DEV Community - Latest posts Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DUMB DEV Community Close Welcome to DUMB DEV Community — part of the Forem network! It's not helpful, but it's fast! Create account Log in Home About Contact Other Code of Conduct Privacy Policy Terms of Use Twitter Facebook Github Instagram Twitch Mastodon DUMB DEV Community Memes and software development shitposting Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DUMB DEV Community © 2025 - 2026. Posts Relevant Latest Top Some latest posts are only visible for members. Sign in to see all latest. Gemini told me it had 20 years in coding experience and spent 2 hours debugging a for-loop bingkahu bingkahu bingkahu Follow Jan 12 Gemini told me it had 20 years in coding experience and spent 2 hours debugging a for-loop # coding # ai # dumb # debugging 3 reactions Comments 1 comment 1 min read Confessions of a Totally Average Dev "Part 2": How I Accidentally Learned TypeScript and Immediately Regretted It 🌩️😩 Om Shree Om Shree Om Shree Follow Jan 4 Confessions of a Totally Average Dev "Part 2": How I Accidentally Learned TypeScript and Immediately Regretted It 🌩️😩 # news # memes # shitpost # dev 25 reactions Comments Add Comment 5 min read I landed myself in a weird technical spot before graduation need perspective anant anant anant Follow Jan 2 I landed myself in a weird technical spot before graduation need perspective 1 reaction Comments 3 comments 1 min read I’m turning my GitHub Contribution Graph into a playable screen for DOOM. Am I insane? Sempala Daniel Sempala Daniel Sempala Daniel Follow Dec 31 '25 I’m turning my GitHub Contribution Graph into a playable screen for DOOM. Am I insane? # showdev # github # opensource # doom 3 reactions Comments 1 comment 2 min read 🚀 Zod vs. Yup: O Fim da Duplicação de Tipos em TypeScript Nathana Facion Nathana Facion Nathana Facion Follow Dec 27 '25 🚀 Zod vs. Yup: O Fim da Duplicação de Tipos em TypeScript # zod # yup # react # typescript 5 reactions Comments Add Comment 1 min read The 12 Bugs of Christmas: How One Dev's "Festive" Deploy Turned Santa's Workshop into a Kubernetes Catastrophe Om Shree Om Shree Om Shree Follow Dec 24 '25 The 12 Bugs of Christmas: How One Dev's "Festive" Deploy Turned Santa's Workshop into a Kubernetes Catastrophe # news # memes # shitposts # dev 28 reactions Comments 4 comments 5 min read How I Built a Pseudocode Runner by Screaming at AI idrees qazi idrees qazi idrees qazi Follow Nov 29 '25 How I Built a Pseudocode Runner by Screaming at AI # memes # vibecoding 4 reactions Comments 3 comments 1 min read The fifth fundamental data type: string, number, boolean, null, and jason Neeraj S Neeraj S Neeraj S Follow Nov 22 '25 The fifth fundamental data type: string, number, boolean, null, and jason 11 reactions Comments Add Comment 1 min read How not to disappear from the office one minute before closing time Polina Elizarova Polina Elizarova Polina Elizarova Follow Nov 19 '25 How not to disappear from the office one minute before closing time # me # life # tips Comments 2 comments 3 min read Confessions of a Totally Average Dev: Why Being Kinda Dumb Is the Best Job on Earth ☀️😏 Om Shree Om Shree Om Shree Follow Nov 18 '25 Confessions of a Totally Average Dev: Why Being Kinda Dumb Is the Best Job on Earth ☀️😏 # news # memes # shitposts # dev 50 reactions Comments 15 comments 6 min read Dumb*** business ideas ElysionMind ElysionMind ElysionMind Follow Nov 14 '25 Dumb*** business ideas 9 reactions Comments 5 comments 1 min read devme.me - meme-driven mini-game full of silly jokes Evgenii Evgenii Evgenii Follow Nov 13 '25 devme.me - meme-driven mini-game full of silly jokes # memes # joke # webdev Comments Add Comment 1 min read SEnoir devs help me need guidanace Aditya Aditya Aditya Follow Nov 13 '25 SEnoir devs help me need guidanace 1 reaction Comments 2 comments 2 min read Honey, break out the fine china. Cheze Cheze Cheze Follow Nov 12 '25 Honey, break out the fine china. # funny # shitpost Comments 1 comment 1 min read I Doom-Scrolled Every Viral AI Tweet of 2025 So You Don’t Have To (100 Posts That Broke My Soul) ANIRUDDHA ADAK ANIRUDDHA ADAK ANIRUDDHA ADAK Follow Nov 8 '25 I Doom-Scrolled Every Viral AI Tweet of 2025 So You Don’t Have To (100 Posts That Broke My Soul) # ai # programming # architecture # future 6 reactions Comments Add Comment 3 min read You're absolutely right! Ben Halpern Ben Halpern Ben Halpern Follow Nov 3 '25 You're absolutely right! 8 reactions Comments 3 comments 1 min read Uniqueness constraints Ben Halpern Ben Halpern Ben Halpern Follow Oct 29 '25 Uniqueness constraints 8 reactions Comments Add Comment 1 min read You're absolutely right! Ben Halpern Ben Halpern Ben Halpern Follow Oct 28 '25 You're absolutely right! 4 reactions Comments Add Comment 1 min read loading... #webdev Because the internet... #php Home for all the PHP-related posts on Dev.to! #productivity Productivity includes tips on how to use tools and software, process optimization, useful references, experience, and mindstate optimization. #linux What are clouds made of? Linux servers, mostly. #devops Content centering around the shifting left of responsibility, deconstruction of responsibility silos, and the automation of repetitive work tasks. 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DUMB DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DUMB DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.youtube.com/watch?v=e8EBI1ocxt4 | Fireside Chat | Who is building open source AI? - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = {"responseContext":{"serviceTrackingParams":[{"service":"CSI","params":[{"key":"c","value":"WEB"},{"key":"cver","value":"2.20260109.01.00"},{"key":"yt_li","value":"0"},{"key":"GetWatchNext_rid","value":"0x38c000357304d14d"}]},{"service":"GFEEDBACK","params":[{"key":"logged_in","value":"0"},{"key":"visitor_data","value":"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%3D%3D"}]},{"service":"GUIDED_HELP","params":[{"key":"logged_in","value":"0"}]},{"service":"ECATCHER","params":[{"key":"client.version","value":"2.20260109"},{"key":"client.name","value":"WEB"}]}],"mainAppWebResponseContext":{"loggedOut":true,"trackingParam":"kx_fmPxhoPZRLm6sYbs9onDdIcbs4qdpkhzr8jit4ln5A7HRgkussh7BwOcCE59TDtslLKPQ-SS"},"webResponseContextExtensionData":{"webResponseContextPreloadData":{"preloadMessageNames":["twoColumnWatchNextResults","results","videoPrimaryInfoRenderer","videoViewCountRenderer","menuRenderer","menuServiceItemRenderer","segmentedLikeDislikeButtonViewModel","likeButtonViewModel","toggleButtonViewModel","buttonViewModel","modalWithTitleAndButtonRenderer","buttonRenderer","dislikeButtonViewModel","unifiedSharePanelRenderer","menuFlexibleItemRenderer","videoSecondaryInfoRenderer","videoOwnerRenderer","subscribeButtonRenderer","subscriptionNotificationToggleButtonRenderer","menuPopupRenderer","confirmDialogRenderer","metadataRowContainerRenderer","metadataRowRenderer","compositeVideoPrimaryInfoRenderer","itemSectionRenderer","continuationItemRenderer","secondaryResults","lockupViewModel","thumbnailViewModel","thumbnailOverlayBadgeViewModel","thumbnailBadgeViewModel","thumbnailHoverOverlayToggleActionsViewModel","lockupMetadataViewModel","decoratedAvatarViewModel","avatarViewModel","contentMetadataViewModel","sheetViewModel","listViewModel","listItemViewModel","avatarStackViewModel","dialogViewModel","dialogHeaderViewModel","autoplay","playerOverlayRenderer","menuNavigationItemRenderer","watchNextEndScreenRenderer","endScreenVideoRenderer","thumbnailOverlayTimeStatusRenderer","thumbnailOverlayNowPlayingRenderer","playerOverlayAutoplayRenderer","playerOverlayVideoDetailsRenderer","autoplaySwitchButtonRenderer","quickActionsViewModel","decoratedPlayerBarRenderer","multiMarkersPlayerBarRenderer","chapterRenderer","notificationActionRenderer","speedmasterEduViewModel","engagementPanelSectionListRenderer","engagementPanelTitleHeaderRenderer","sortFilterSubMenuRenderer","sectionListRenderer","adsEngagementPanelContentRenderer","chipBarViewModel","chipViewModel","macroMarkersListRenderer","macroMarkersListItemRenderer","toggleButtonRenderer","structuredDescriptionContentRenderer","videoDescriptionHeaderRenderer","factoidRenderer","viewCountFactoidRenderer","expandableVideoDescriptionBodyRenderer","horizontalCardListRenderer","richListHeaderRenderer","videoDescriptionCourseSectionRenderer","structuredDescriptionPlaylistLockupRenderer","thumbnailOverlayBottomPanelRenderer","topicLinkRenderer","videoDescriptionTranscriptSectionRenderer","videoDescriptionInfocardsSectionRenderer","desktopTopbarRenderer","topbarLogoRenderer","fusionSearchboxRenderer","topbarMenuButtonRenderer","multiPageMenuRenderer","hotkeyDialogRenderer","hotkeyDialogSectionRenderer","hotkeyDialogSectionOptionRenderer","voiceSearchDialogRenderer","cinematicContainerRenderer"]},"ytConfigData":{"visitorData":"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%3D%3D","rootVisualElementType":3832},"webPrefetchData":{"navigationEndpoints":[{"clickTrackingParams":"CAAQg2ciEwijrsCTkYiSAxUWplYBHcQKMe4yDHJlbGF0ZWQtYXV0b0jejfPQtaTA4HuaAQUIAxD4HcoBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=5uNifnVlBy4\u0026pp=QAFIAdIHCQmjAp4VBgUm4g%3D%3D","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"5uNifnVlBy4","params":"EAEYAdoBBAgBKgA%3D","playerParams":"QAFIAdIHCQmjAp4VBgUm4g%3D%3D","watchEndpointSupportedPrefetchConfig":{"prefetchHintConfig":{"prefetchPriority":0,"countdownUiRelativeSecondsPrefetchCondition":-3}}}},{"clickTrackingParams":"CAAQg2ciEwijrsCTkYiSAxUWplYBHcQKMe4yDHJlbGF0ZWQtYXV0b0jejfPQtaTA4HuaAQUIAxD4HcoBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=5uNifnVlBy4\u0026pp=QAFIAdIHCQmjAp4VBgUm4g%3D%3D","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"5uNifnVlBy4","params":"EAEYAdoBBAgBKgA%3D","playerParams":"QAFIAdIHCQmjAp4VBgUm4g%3D%3D","watchEndpointSupportedPrefetchConfig":{"prefetchHintConfig":{"prefetchPriority":0,"countdownUiRelativeSecondsPrefetchCondition":-3}}}},{"clickTrackingParams":"CAAQg2ciEwijrsCTkYiSAxUWplYBHcQKMe4yDHJlbGF0ZWQtYXV0b0jejfPQtaTA4HuaAQUIAxD4HcoBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=5uNifnVlBy4\u0026pp=QAFIAdIHCQmjAp4VBgUm4g%3D%3D","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"5uNifnVlBy4","params":"EAEYAdoBBAgBKgA%3D","playerParams":"QAFIAdIHCQmjAp4VBgUm4g%3D%3D","watchEndpointSupportedPrefetchConfig":{"prefetchHintConfig":{"prefetchPriority":0,"countdownUiRelativeSecondsPrefetchCondition":-3}}}}]},"hasDecorated":true}},"contents":{"twoColumnWatchNextResults":{"results":{"results":{"contents":[{"videoPrimaryInfoRenderer":{"title":{"runs":[{"text":"Fireside Chat | Who is building open source AI?"}]},"viewCount":{"videoViewCountRenderer":{"viewCount":{"simpleText":"조회수 473회"},"shortViewCount":{"simpleText":"조회수 473회"},"originalViewCount":"0"}},"videoActions":{"menuRenderer":{"items":[{"menuServiceItemRenderer":{"text":{"runs":[{"text":"신고"}]},"icon":{"iconType":"FLAG"},"serviceEndpoint":{"clickTrackingParams":"CLwCELW0CRgAIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","showEngagementPanelEndpoint":{"identifier":{"tag":"PAabuse_report"},"globalConfiguration":{"params":"qgdxCAESC2U4RUJJMW9jeHQ0GmBFZ3RsT0VWQ1NURnZZM2gwTkVBQldBQjRCWklCTWdvd0VpNW9kSFJ3Y3pvdkwya3VlWFJwYldjdVkyOXRMM1pwTDJVNFJVSkpNVzlqZUhRMEwyUmxabUYxYkhRdWFuQm4%3D"},"engagementPanelPresentationConfigs":{"engagementPanelPopupPresentationConfig":{"popupType":"PANEL_POPUP_TYPE_DIALOG"}}}},"trackingParams":"CLwCELW0CRgAIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}}],"trackingParams":"CLwCELW0CRgAIhMIo67Ak5GIkgMVFqZWAR3ECjHu","topLevelButtons":[{"segmentedLikeDislikeButtonViewModel":{"likeButtonViewModel":{"likeButtonViewModel":{"toggleButtonViewModel":{"toggleButtonViewModel":{"defaultButtonViewModel":{"buttonViewModel":{"iconName":"LIKE","title":"5","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CMcCEKVBIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},{"innertubeCommand":{"clickTrackingParams":"CMcCEKVBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"simpleText":"동영상이 마음에 드시나요?"},"content":{"simpleText":"로그인하여 의견을 알려주세요."},"button":{"buttonRenderer":{"style":"STYLE_MONO_FILLED","size":"SIZE_DEFAULT","isDisabled":false,"text":{"simpleText":"로그인"},"navigationEndpoint":{"clickTrackingParams":"CMgCEPqGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"https://accounts.google.com/ServiceLogin?service=youtube\u0026uilel=3\u0026passive=true\u0026continue=https%3A%2F%2Fwww.youtube.com%2Fsignin%3Faction_handle_signin%3Dtrue%26app%3Ddesktop%26hl%3Dko\u0026hl=ko\u0026ec=66426","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"signInEndpoint":{"nextEndpoint":{"clickTrackingParams":"CMgCEPqGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/like"}},"likeEndpoint":{"status":"LIKE","target":{"videoId":"e8EBI1ocxt4"},"likeParams":"Cg0KC2U4RUJJMW9jeHQ0IAAyDAikjpjLBhDQucXQAQ%3D%3D"}},"idamTag":"66426"}},"trackingParams":"CMgCEPqGBCITCKOuwJORiJIDFRamVgEdxAox7g=="}}}}}}}]}},"accessibilityText":"다른 사용자 5명과 함께 이 동영상에 좋아요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CMcCEKVBIhMIo67Ak5GIkgMVFqZWAR3ECjHu","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.like.button","tooltip":"이 동영상이 마음에 듭니다."}},"toggledButtonViewModel":{"buttonViewModel":{"iconName":"LIKE","title":"6","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CMYCEKVBIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},{"innertubeCommand":{"clickTrackingParams":"CMYCEKVBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/removelike"}},"likeEndpoint":{"status":"INDIFFERENT","target":{"videoId":"e8EBI1ocxt4"},"removeLikeParams":"Cg0KC2U4RUJJMW9jeHQ0GAAqDAikjpjLBhCUqcfQAQ%3D%3D"}}}]}},"accessibilityText":"다른 사용자 5명과 함께 이 동영상에 좋아요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CMYCEKVBIhMIo67Ak5GIkgMVFqZWAR3ECjHu","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.like.button","tooltip":"좋아요 취소"}},"identifier":"watch-like","trackingParams":"CLwCELW0CRgAIhMIo67Ak5GIkgMVFqZWAR3ECjHu","isTogglingDisabled":true}},"likeStatusEntityKey":"EgtlOEVCSTFvY3h0NCA-KAE%3D","likeStatusEntity":{"key":"EgtlOEVCSTFvY3h0NCA-KAE%3D","likeStatus":"INDIFFERENT"}}},"dislikeButtonViewModel":{"dislikeButtonViewModel":{"toggleButtonViewModel":{"toggleButtonViewModel":{"defaultButtonViewModel":{"buttonViewModel":{"iconName":"DISLIKE","title":"싫어요","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CMQCEKiPCSITCKOuwJORiJIDFRamVgEdxAox7g=="}},{"innertubeCommand":{"clickTrackingParams":"CMQCEKiPCSITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"simpleText":"동영상이 마음에 안 드시나요?"},"content":{"simpleText":"로그인하여 의견을 알려주세요."},"button":{"buttonRenderer":{"style":"STYLE_MONO_FILLED","size":"SIZE_DEFAULT","isDisabled":false,"text":{"simpleText":"로그인"},"navigationEndpoint":{"clickTrackingParams":"CMUCEPmGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"https://accounts.google.com/ServiceLogin?service=youtube\u0026uilel=3\u0026passive=true\u0026continue=https%3A%2F%2Fwww.youtube.com%2Fsignin%3Faction_handle_signin%3Dtrue%26app%3Ddesktop%26hl%3Dko\u0026hl=ko\u0026ec=66425","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"signInEndpoint":{"nextEndpoint":{"clickTrackingParams":"CMUCEPmGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/dislike"}},"likeEndpoint":{"status":"DISLIKE","target":{"videoId":"e8EBI1ocxt4"},"dislikeParams":"Cg0KC2U4RUJJMW9jeHQ0EAAiDAikjpjLBhCdo8nQAQ%3D%3D"}},"idamTag":"66425"}},"trackingParams":"CMUCEPmGBCITCKOuwJORiJIDFRamVgEdxAox7g=="}}}}}}}]}},"accessibilityText":"동영상에 싫어요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CMQCEKiPCSITCKOuwJORiJIDFRamVgEdxAox7g==","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.dislike.button","tooltip":"이 동영상이 마음에 들지 않습니다."}},"toggledButtonViewModel":{"buttonViewModel":{"iconName":"DISLIKE","title":"싫어요","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CMMCEKiPCSITCKOuwJORiJIDFRamVgEdxAox7g=="}},{"innertubeCommand":{"clickTrackingParams":"CMMCEKiPCSITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/removelike"}},"likeEndpoint":{"status":"INDIFFERENT","target":{"videoId":"e8EBI1ocxt4"},"removeLikeParams":"Cg0KC2U4RUJJMW9jeHQ0GAAqDAikjpjLBhD1xcnQAQ%3D%3D"}}}]}},"accessibilityText":"동영상에 싫어요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CMMCEKiPCSITCKOuwJORiJIDFRamVgEdxAox7g==","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.dislike.button","tooltip":"이 동영상이 마음에 들지 않습니다."}},"trackingParams":"CLwCELW0CRgAIhMIo67Ak5GIkgMVFqZWAR3ECjHu","isTogglingDisabled":true}},"dislikeEntityKey":"EgtlOEVCSTFvY3h0NCA-KAE%3D"}},"iconType":"LIKE_ICON_TYPE_UNKNOWN","likeCountEntity":{"key":"unset_like_count_entity_key"},"dynamicLikeCountUpdateData":{"updateStatusKey":"like_count_update_status_key","placeholderLikeCountValuesKey":"like_count_placeholder_values_key","updateDelayLoopId":"like_count_update_delay_loop_id","updateDelaySec":5},"teasersOrderEntityKey":"EgtlOEVCSTFvY3h0NCD8AygB"}},{"buttonViewModel":{"iconName":"SHARE","title":"공유","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CMECEOWWARgDIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},{"innertubeCommand":{"clickTrackingParams":"CMECEOWWARgDIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/share/get_share_panel"}},"shareEntityServiceEndpoint":{"serializedShareEntity":"CgtlOEVCSTFvY3h0NKABAQ%3D%3D","commands":[{"clickTrackingParams":"CMECEOWWARgDIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","openPopupAction":{"popup":{"unifiedSharePanelRenderer":{"trackingParams":"CMICEI5iIhMIo67Ak5GIkgMVFqZWAR3ECjHu","showLoadingSpinner":true}},"popupType":"DIALOG","beReused":true}}]}}}]}},"accessibilityText":"공유","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CMECEOWWARgDIhMIo67Ak5GIkgMVFqZWAR3ECjHu","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","state":"BUTTON_VIEW_MODEL_STATE_ACTIVE","accessibilityId":"id.video.share.button","tooltip":"공유"}}],"accessibility":{"accessibilityData":{"label":"추가 작업"}},"flexibleItems":[{"menuFlexibleItemRenderer":{"menuItem":{"menuServiceItemRenderer":{"text":{"runs":[{"text":"저장"}]},"icon":{"iconType":"PLAYLIST_ADD"},"serviceEndpoint":{"clickTrackingParams":"CL8CEOuQCSITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"runs":[{"text":"나중에 다시 보고 싶으신가요?"}]},"content":{"runs":[{"text":"로그인하여 동영상을 재생목록에 추가하세요."}]},"button":{"buttonRenderer":{"style":"STYLE_MONO_FILLED","size":"SIZE_DEFAULT","isDisabled":false,"text":{"simpleText":"로그인"},"navigationEndpoint":{"clickTrackingParams":"CMACEPuGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"https://accounts.google.com/ServiceLogin?service=youtube\u0026uilel=3\u0026passive=true\u0026continue=https%3A%2F%2Fwww.youtube.com%2Fsignin%3Faction_handle_signin%3Dtrue%26app%3Ddesktop%26hl%3Dko%26next%3D%252Fwatch%253Fv%253De8EBI1ocxt4%2526pp%253D0gcJCfcAYGclG_1k\u0026hl=ko\u0026ec=66427","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"signInEndpoint":{"nextEndpoint":{"clickTrackingParams":"CMACEPuGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026pp=0gcJCfcAYGclG_1k","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","playerParams":"0gcJCfcAYGclG_1k","watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}},"idamTag":"66427"}},"trackingParams":"CMACEPuGBCITCKOuwJORiJIDFRamVgEdxAox7g=="}}}}}},"trackingParams":"CL8CEOuQCSITCKOuwJORiJIDFRamVgEdxAox7g=="}},"topLevelButton":{"buttonViewModel":{"iconName":"PLAYLIST_ADD","title":"저장","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CL0CEOuQCSITCKOuwJORiJIDFRamVgEdxAox7g=="}},{"innertubeCommand":{"clickTrackingParams":"CL0CEOuQCSITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"runs":[{"text":"나중에 다시 보고 싶으신가요?"}]},"content":{"runs":[{"text":"로그인하여 동영상을 재생목록에 추가하세요."}]},"button":{"buttonRenderer":{"style":"STYLE_MONO_FILLED","size":"SIZE_DEFAULT","isDisabled":false,"text":{"simpleText":"로그인"},"navigationEndpoint":{"clickTrackingParams":"CL4CEPuGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"https://accounts.google.com/ServiceLogin?service=youtube\u0026uilel=3\u0026passive=true\u0026continue=https%3A%2F%2Fwww.youtube.com%2Fsignin%3Faction_handle_signin%3Dtrue%26app%3Ddesktop%26hl%3Dko%26next%3D%252Fwatch%253Fv%253De8EBI1ocxt4%2526pp%253D0gcJCfcAYGclG_1k\u0026hl=ko\u0026ec=66427","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"signInEndpoint":{"nextEndpoint":{"clickTrackingParams":"CL4CEPuGBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026pp=0gcJCfcAYGclG_1k","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","playerParams":"0gcJCfcAYGclG_1k","watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}},"idamTag":"66427"}},"trackingParams":"CL4CEPuGBCITCKOuwJORiJIDFRamVgEdxAox7g=="}}}}}}}]}},"accessibilityText":"재생목록에 저장","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CL0CEOuQCSITCKOuwJORiJIDFRamVgEdxAox7g==","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","tooltip":"저장"}}}}]}},"trackingParams":"CLwCELW0CRgAIhMIo67Ak5GIkgMVFqZWAR3ECjHu","superTitleLink":{"runs":[{"text":"The Turing Way - Fireside Chats 2021-2025","navigationEndpoint":{"clickTrackingParams":"CLwCELW0CRgAIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/playlist?list=PLBxcQEfGu3Dl521skBqViIQVsSUZ-VYi2","webPageType":"WEB_PAGE_TYPE_PLAYLIST","rootVe":5754,"apiUrl":"/youtubei/v1/browse"}},"browseEndpoint":{"browseId":"VLPLBxcQEfGu3Dl521skBqViIQVsSUZ-VYi2"}}}]},"dateText":{"simpleText":"2023. 9. 21."},"relativeDateText":{"accessibility":{"accessibilityData":{"label":"2년 전"}},"simpleText":"2년 전"}}},{"videoSecondaryInfoRenderer":{"owner":{"videoOwnerRenderer":{"thumbnail":{"thumbnails":[{"url":"https://yt3.ggpht.com/a3QQdL0zqMMaT6MirHpChBDktPcz4PQyhvlRfD0ZtQ0gwKuvbmH8I7_nvlVMRpwhySAerfGCCg=s48-c-k-c0x00ffffff-no-rj","width":48,"height":48},{"url":"https://yt3.ggpht.com/a3QQdL0zqMMaT6MirHpChBDktPcz4PQyhvlRfD0ZtQ0gwKuvbmH8I7_nvlVMRpwhySAerfGCCg=s88-c-k-c0x00ffffff-no-rj","width":88,"height":88},{"url":"https://yt3.ggpht.com/a3QQdL0zqMMaT6MirHpChBDktPcz4PQyhvlRfD0ZtQ0gwKuvbmH8I7_nvlVMRpwhySAerfGCCg=s176-c-k-c0x00ffffff-no-rj","width":176,"height":176}]},"title":{"runs":[{"text":"The Turing Way","navigationEndpoint":{"clickTrackingParams":"CLsCEOE5IhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/@TheTuringWay","webPageType":"WEB_PAGE_TYPE_CHANNEL","rootVe":3611,"apiUrl":"/youtubei/v1/browse"}},"browseEndpoint":{"browseId":"UCPDxZv5BMzAw0mPobCbMNuA","canonicalBaseUrl":"/@TheTuringWay"}}}]},"subscriptionButton":{"type":"FREE"},"navigationEndpoint":{"clickTrackingParams":"CLsCEOE5IhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/@TheTuringWay","webPageType":"WEB_PAGE_TYPE_CHANNEL","rootVe":3611,"apiUrl":"/youtubei/v1/browse"}},"browseEndpoint":{"browseId":"UCPDxZv5BMzAw0mPobCbMNuA","canonicalBaseUrl":"/@TheTuringWay"}},"subscriberCountText":{"accessibility":{"accessibilityData":{"label":"구독자 442명"}},"simpleText":"구독자 442명"},"trackingParams":"CLsCEOE5IhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},"subscribeButton":{"subscribeButtonRenderer":{"buttonText":{"runs":[{"text":"구독"}]},"subscribed":false,"enabled":true,"type":"FREE","channelId":"UCPDxZv5BMzAw0mPobCbMNuA","showPreferences":false,"subscribedButtonText":{"runs":[{"text":"구독중"}]},"unsubscribedButtonText":{"runs":[{"text":"구독"}]},"trackingParams":"CK0CEJsrIhMIo67Ak5GIkgMVFqZWAR3ECjHuKPgdMgV3YXRjaA==","unsubscribeButtonText":{"runs":[{"text":"구독 취소"}]},"subscribeAccessibility":{"accessibilityData":{"label":"The Turing Way을(를) 구독합니다."}},"unsubscribeAccessibility":{"accessibilityData":{"label":"The Turing Way을(를) 구독 취소합니다."}},"notificationPreferenceButton":{"subscriptionNotificationToggleButtonRenderer":{"states":[{"stateId":3,"nextStateId":3,"state":{"buttonRenderer":{"style":"STYLE_TEXT","size":"SIZE_DEFAULT","isDisabled":false,"icon":{"iconType":"NOTIFICATIONS_NONE"},"accessibility":{"label":"현재 설정은 맞춤설정 알림 수신입니다. The Turing Way 채널의 알림 설정을 변경하려면 탭하세요."},"trackingParams":"CLoCEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHu","accessibilityData":{"accessibilityData":{"label":"현재 설정은 맞춤설정 알림 수신입니다. The Turing Way 채널의 알림 설정을 변경하려면 탭하세요."}}}}},{"stateId":0,"nextStateId":0,"state":{"buttonRenderer":{"style":"STYLE_TEXT","size":"SIZE_DEFAULT","isDisabled":false,"icon":{"iconType":"NOTIFICATIONS_OFF"},"accessibility":{"label":"현재 설정은 알림 수신 안함입니다. The Turing Way 채널의 알림 설정을 변경하려면 탭하세요."},"trackingParams":"CLkCEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHu","accessibilityData":{"accessibilityData":{"label":"현재 설정은 알림 수신 안함입니다. The Turing Way 채널의 알림 설정을 변경하려면 탭하세요."}}}}}],"currentStateId":3,"trackingParams":"CLICEJf5ASITCKOuwJORiJIDFRamVgEdxAox7g==","command":{"clickTrackingParams":"CLICEJf5ASITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandExecutorCommand":{"commands":[{"clickTrackingParams":"CLICEJf5ASITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","openPopupAction":{"popup":{"menuPopupRenderer":{"items":[{"menuServiceItemRenderer":{"text":{"simpleText":"맞춤설정"},"icon":{"iconType":"NOTIFICATIONS_NONE"},"serviceEndpoint":{"clickTrackingParams":"CLgCEOy1BBgDIhMIo67Ak5GIkgMVFqZWAR3ECjHuMhJQUkVGRVJFTkNFX0RFRkFVTFTKAQTtdtmq","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/notification/modify_channel_preference"}},"modifyChannelNotificationPreferenceEndpoint":{"params":"ChhVQ1BEeFp2NUJNekF3MG1Qb2JDYk1OdUESAggBGAAgBFITCgIIAxILZThFQkkxb2N4dDQYAA%3D%3D"}},"trackingParams":"CLgCEOy1BBgDIhMIo67Ak5GIkgMVFqZWAR3ECjHu","isSelected":true}},{"menuServiceItemRenderer":{"text":{"simpleText":"없음"},"icon":{"iconType":"NOTIFICATIONS_OFF"},"serviceEndpoint":{"clickTrackingParams":"CLcCEO21BBgEIhMIo67Ak5GIkgMVFqZWAR3ECjHuMhtQUkVGRVJFTkNFX05PX05PVElGSUNBVElPTlPKAQTtdtmq","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/notification/modify_channel_preference"}},"modifyChannelNotificationPreferenceEndpoint":{"params":"ChhVQ1BEeFp2NUJNekF3MG1Qb2JDYk1OdUESAggDGAAgBFITCgIIAxILZThFQkkxb2N4dDQYAA%3D%3D"}},"trackingParams":"CLcCEO21BBgEIhMIo67Ak5GIkgMVFqZWAR3ECjHu","isSelected":false}},{"menuServiceItemRenderer":{"text":{"runs":[{"text":"구독 취소"}]},"icon":{"iconType":"PERSON_MINUS"},"serviceEndpoint":{"clickTrackingParams":"CLMCENuLChgFIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"sendPost":true}},"signalServiceEndpoint":{"signal":"CLIENT_SIGNAL","actions":[{"clickTrackingParams":"CLMCENuLChgFIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","openPopupAction":{"popup":{"confirmDialogRenderer":{"trackingParams":"CLQCEMY4IhMIo67Ak5GIkgMVFqZWAR3ECjHu","dialogMessages":[{"runs":[{"text":"The Turing Way"},{"text":" 구독을 취소하시겠습니까?"}]}],"confirmButton":{"buttonRenderer":{"style":"STYLE_BLUE_TEXT","size":"SIZE_DEFAULT","isDisabled":false,"text":{"runs":[{"text":"구독 취소"}]},"serviceEndpoint":{"clickTrackingParams":"CLYCEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHuMgV3YXRjaMoBBO122ao=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/subscription/unsubscribe"}},"unsubscribeEndpoint":{"channelIds":["UCPDxZv5BMzAw0mPobCbMNuA"],"params":"CgIIAxILZThFQkkxb2N4dDQYAA%3D%3D"}},"accessibility":{"label":"구독 취소"},"trackingParams":"CLYCEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},"cancelButton":{"buttonRenderer":{"style":"STYLE_TEXT","size":"SIZE_DEFAULT","isDisabled":false,"text":{"runs":[{"text":"취소"}]},"accessibility":{"label":"취소"},"trackingParams":"CLUCEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},"primaryIsCancel":false}},"popupType":"DIALOG"}}]}},"trackingParams":"CLMCENuLChgFIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}}]}},"popupType":"DROPDOWN"}}]}},"targetId":"notification-bell","secondaryIcon":{"iconType":"EXPAND_MORE"}}},"targetId":"watch-subscribe","signInEndpoint":{"clickTrackingParams":"CK0CEJsrIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"simpleText":"채널을 구독하시겠습니까?"},"content":{"simpleText":"채널을 구독하려면 로그인하세요."},"button":{"buttonRenderer":{"style":"STYLE_MONO_FILLED","size":"SIZE_DEFAULT","isDisabled":false,"text":{"simpleText":"로그인"},"navigationEndpoint":{"clickTrackingParams":"CLECEP2GBCITCKOuwJORiJIDFRamVgEdxAox7jIJc3Vic2NyaWJlygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"https://accounts.google.com/ServiceLogin?service=youtube\u0026uilel=3\u0026passive=true\u0026continue=https%3A%2F%2Fwww.youtube.com%2Fsignin%3Faction_handle_signin%3Dtrue%26app%3Ddesktop%26hl%3Dko%26next%3D%252Fwatch%253Fv%253De8EBI1ocxt4%2526pp%253D0gcJCfcAYGclG_1k%26continue_action%3DQUFFLUhqa0p0Q1N2NExYQmhUZDg2Z0NSUklQVXZjZTJxQXxBQ3Jtc0tsUDZucVl5MmJzNm5sb2xKYnJSM3NBZFJfQjI3UE1NR2ppTVdtLVB5TXltYjlSVFFCcFBqeXV3eFM5bi1yUjNtallENkFUSDFtWFlNOHhjNEFmT0NVUjAzRXFqZHRNczRCb0toYnpwYVAzamlXSWg0bFZQbVRLTjhSLW5XUzNaTzRiTXZDZkhKd0pOLXRZZFV5TWJyMG10OEVFUVZ3MHpnMHFWXzh6cWE4bXNFTkpMeDBhMTFEYy1GMFNKcmM4eE11ZWtKVms\u0026hl=ko\u0026ec=66429","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"signInEndpoint":{"nextEndpoint":{"clickTrackingParams":"CLECEP2GBCITCKOuwJORiJIDFRamVgEdxAox7soBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026pp=0gcJCfcAYGclG_1k","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","playerParams":"0gcJCfcAYGclG_1k","watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}},"continueAction":"QUFFLUhqa0p0Q1N2NExYQmhUZDg2Z0NSUklQVXZjZTJxQXxBQ3Jtc0tsUDZucVl5MmJzNm5sb2xKYnJSM3NBZFJfQjI3UE1NR2ppTVdtLVB5TXltYjlSVFFCcFBqeXV3eFM5bi1yUjNtallENkFUSDFtWFlNOHhjNEFmT0NVUjAzRXFqZHRNczRCb0toYnpwYVAzamlXSWg0bFZQbVRLTjhSLW5XUzNaTzRiTXZDZkhKd0pOLXRZZFV5TWJyMG10OEVFUVZ3MHpnMHFWXzh6cWE4bXNFTkpMeDBhMTFEYy1GMFNKcmM4eE11ZWtKVms","idamTag":"66429"}},"trackingParams":"CLECEP2GBCITCKOuwJORiJIDFRamVgEdxAox7g=="}}}}}},"subscribedEntityKey":"EhhVQ1BEeFp2NUJNekF3MG1Qb2JDYk1OdUEgMygB","onSubscribeEndpoints":[{"clickTrackingParams":"CK0CEJsrIhMIo67Ak5GIkgMVFqZWAR3ECjHuKPgdMgV3YXRjaMoBBO122ao=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/subscription/subscribe"}},"subscribeEndpoint":{"channelIds":["UCPDxZv5BMzAw0mPobCbMNuA"],"params":"EgIIAxgAIgtlOEVCSTFvY3h0NA%3D%3D"}}],"onUnsubscribeEndpoints":[{"clickTrackingParams":"CK0CEJsrIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"sendPost":true}},"signalServiceEndpoint":{"signal":"CLIENT_SIGNAL","actions":[{"clickTrackingParams":"CK0CEJsrIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","openPopupAction":{"popup":{"confirmDialogRenderer":{"trackingParams":"CK4CEMY4IhMIo67Ak5GIkgMVFqZWAR3ECjHu","dialogMessages":[{"runs":[{"text":"The Turing Way"},{"text":" 구독을 취소하시겠습니까?"}]}],"confirmButton":{"buttonRenderer":{"style":"STYLE_BLUE_TEXT","size":"SIZE_DEFAULT","isDisabled":false,"text":{"runs":[{"text":"구독 취소"}]},"serviceEndpoint":{"clickTrackingParams":"CLACEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHuKPgdMgV3YXRjaMoBBO122ao=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/subscription/unsubscribe"}},"unsubscribeEndpoint":{"channelIds":["UCPDxZv5BMzAw0mPobCbMNuA"],"params":"CgIIAxILZThFQkkxb2N4dDQYAA%3D%3D"}},"accessibility":{"label":"구독 취소"},"trackingParams":"CLACEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},"cancelButton":{"buttonRenderer":{"style":"STYLE_TEXT","size":"SIZE_DEFAULT","isDisabled":false,"text":{"runs":[{"text":"취소"}]},"accessibility":{"label":"취소"},"trackingParams":"CK8CEPBbIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},"primaryIsCancel":false}},"popupType":"DIALOG"}}]}}]}},"metadataRowContainer":{"metadataRowContainerRenderer":{"rows":[{"metadataRowRenderer":{"title":{"runs":[{"text":"라이선스"}]},"contents":[{"runs":[{"text":"크리에이티브 커먼즈 저작자 표시 라이선스(재사용 허용)","navigationEndpoint":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"https://www.youtube.com/t/creative_commons","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"urlEndpoint":{"url":"https://www.youtube.com/t/creative_commons"}}}]}],"trackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}}],"collapsedItemCount":0,"trackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHu"}},"showMoreText":{"simpleText":"...더보기"},"showLessText":{"simpleText":"간략히"},"trackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHu","defaultExpanded":false,"descriptionCollapsedLines":3,"showMoreCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandExecutorCommand":{"commands":[{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","changeEngagementPanelVisibilityAction":{"targetId":"engagement-panel-structured-description","visibility":"ENGAGEMENT_PANEL_VISIBILITY_EXPANDED"}},{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","scrollToEngagementPanelCommand":{"targetId":"engagement-panel-structured-description"}}]}},"showLessCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","changeEngagementPanelVisibilityAction":{"targetId":"engagement-panel-structured-description","visibility":"ENGAGEMENT_PANEL_VISIBILITY_HIDDEN"}},"attributedDescription":{"content":"On Thursday 21 September, 14:00-15:30 London time (UTC+1), the September Fireside Chat took place to understand the question \"Who is building open source AI?”. This Fireside Chat was organised as a part of the Open Source Initiative's Call for Defining Open Source AI.\n\nFacilitated by Jennifer Ding and Arielle Bennett of The Turing Way and the Alan Turing Institute, this panel will feature highlights from Abinaya Mahendiran (Nunnari Labs) Marzieh Fadaee (Cohere for AI), David Gray Widder (Cornell Tech), and Mophat Okinyi (African Content Moderators Union).\n\nAs part of conversations about defining open source AI as hosted by the Open Source Initiative (OSI), The Turing Way is hosting a panel discussion centering key communities who are part of building AI today, whose contributions are often overlooked. Through a conversation with panellists from content moderation, data annotation, and data governance backgrounds, we aim to highlight different kinds of contributors whose work is critical to the Open Source AI ecosystem, but whose contributions are often left out of governance decisions or from benefitting from the AI value chain. We will focus on these different forms of work and how each are recognised and rewarded within the open source ecosystem, with an eye to what is happening now in the AI space. In the spirit of an AI openness that promotes expanding diverse participation, democratising governance, and inviting more people to shape and benefit from the future of AI, we will frame a conversation that highlights current best practices as well as legal, social, and cultural barriers. We hope this multi-domain, multi-disciplinary discussion can emphasise the importance of centering the communities who are integral to AI production in conversations, considerations, and definitions of “Open Source AI.”\n\nNote: this conversation will be recorded and shared in the context of the OSI Open call. A follow-up discussion and FAQ will occur in October 2023 with panelists and facilitators.\n\nDuring this event, we will also facilitate open discussions with attendees to learn about their perspectives on the topic via a shared document (links shared upon registration).\n\nThis event is being hosted by The Turing Way - a community-led handbook on data science and research, hosted at the Alan Turing Institute.\n\nFor more information about the speakers, check out this eventbrite page: https://www.eventbrite.co.uk/e/who-is...\n\nChapters\n0:00 - Introduction to Fireside Chat event \u0026 The Turing Way\n4:08 - Introduction of Speakers \u0026 Self Introduction\n16:26 - Introduction question - Who do you think is involved in building AI that the public might not know about?\n24:00 - Question 1 - What practices of acknowledgement and supporting the work of this wider ecosystem of contributors to open source AI has the panel observed?\n36:15 - Question 2: Thinking specifically specifically about the open aspect of open AI, what do we think about the term \"openness\" and the concepts of bringing openness to AI?\n44:51 - Question 3: For people like ourselves who are interested in defining open source AI, what are you hoping that they will take away from the conversation we are having here?","commandRuns":[{"startIndex":26,"length":5,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026t=840s","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":840,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026osts=840\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"14분"}}},{"startIndex":32,"length":5,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026t=930s","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":930,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026osts=930\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"15분 30초"}}},{"startIndex":2408,"length":40,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuSN6N89C1pMDge8oBBO122ao=","commandMetadata":{"webCommandMetadata":{"url":"https://www.youtube.com/redirect?event=video_description\u0026redir_token=QUFFLUhqbkZIY1pIVGxtRG5SUzE0YUJZT2h5a3dXcVIwUXxBQ3Jtc0ttN09vU1FzbndIcW1sSWlKZ1Vud3NQQS02LVgwa2R1NHZKZkNQcEY0b1VxVDhlcjhyeWxPaWhQY0NlRVBWMklUUEEwdWF1V0V3MHZEeEpJN01QcWRDd1JvMS1CNzdCSFJKUDhjMVVCcWd6b242RTlZYw\u0026q=https%3A%2F%2Fwww.eventbrite.co.uk%2Fe%2Fwho-is-building-open-source-ai-tickets-709277416847\u0026v=e8EBI1ocxt4","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"urlEndpoint":{"url":"https://www.youtube.com/redirect?event=video_description\u0026redir_token=QUFFLUhqbkZIY1pIVGxtRG5SUzE0YUJZT2h5a3dXcVIwUXxBQ3Jtc0ttN09vU1FzbndIcW1sSWlKZ1Vud3NQQS02LVgwa2R1NHZKZkNQcEY0b1VxVDhlcjhyeWxPaWhQY0NlRVBWMklUUEEwdWF1V0V3MHZEeEpJN01QcWRDd1JvMS1CNzdCSFJKUDhjMVVCcWd6b242RTlZYw\u0026q=https%3A%2F%2Fwww.eventbrite.co.uk%2Fe%2Fwho-is-building-open-source-ai-tickets-709277416847\u0026v=e8EBI1ocxt4","target":"TARGET_NEW_WINDOW","nofollow":true}}}},{"startIndex":2459,"length":4,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":0,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"0초"}}},{"startIndex":2519,"length":4,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026t=248s","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":248,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026osts=248\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"4분 8초"}}},{"startIndex":2571,"length":5,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026t=986s","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":986,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026osts=986\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"16분 26초"}}},{"startIndex":2685,"length":5,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026t=1440s","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":1440,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026osts=1440\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"24분"}}},{"startIndex":2846,"length":5,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026t=2175s","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":2175,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026osts=2175\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"36분 15초"}}},{"startIndex":3023,"length":5,"onTap":{"innertubeCommand":{"clickTrackingParams":"CKwCEM2rARgBIhMIo67Ak5GIkgMVFqZWAR3ECjHuygEE7XbZqg==","commandMetadata":{"webCommandMetadata":{"url":"/watch?v=e8EBI1ocxt4\u0026t=2691s","webPageType":"WEB_PAGE_TYPE_WATCH","rootVe":3832}},"watchEndpoint":{"videoId":"e8EBI1ocxt4","continuePlayback":true,"startTimeSeconds":2691,"watchEndpointSupportedOnesieConfig":{"html5PlaybackOnesieConfig":{"commonConfig":{"url":"https://rr1---sn-ab02a0nfpgxapox-bh2sd.googlevideo.com/initplayback?source=youtube\u0026oeis=1\u0026c=WEB\u0026oad=3200\u0026ovd=3200\u0026oaad=11000\u0026oavd=11000\u0026ocs=700\u0026oewis=1\u0026oputc=1\u0026ofpcc=1\u0026msp=1\u0026odepv=1\u0026id=7bc101235a1cc6de\u0026ip=1.208.108.242\u0026osts=2691\u0026initcwndbps=3947500\u0026mt=1768293891\u0026oweuc="}}}}}},"onTapOptions":{"accessibilityInfo":{"accessibilityLabel":"44분 51초"}}}],"styleRuns":[{"startIndex":0,"length":26,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":26,"length":5,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":31,"length":1,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":32,"length":5,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":37,"length":2371,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":2408,"length":40,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":2448,"length":11,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":2459,"length":4,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":2463,"length":56,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":2519,"length":4,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":2523,"length":48,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":2571,"length":5,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":2576,"length":109,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":2685,"length":5,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":2690,"length":156,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":2846,"length":5,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":2851,"length":172,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"},{"startIndex":3023,"length":5,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4282296063},{"key":"USER_INTERFACE_THEME_LIGHT","value":4278607828}]}},"fontFamilyName":"Roboto"},{"startIndex":3028,"length":174,"styleRunExtensions":{"styleRunColorMapExtension":{"colorMap":[{"key":"USER_INTERFACE_THEME_DARK","value":4294967295},{"key":"USER_INTERFACE_THEME_LIGHT","value":4279440147}]}},"fontFamilyName":"Roboto"}]},"headerRuns":[{"startIndex":0,"length":26,"headerMapping":"ATTRIBUTED_STRING_HEADER_MAPPING_UNSPECIFIED"},{"startIndex":26,"length":5,"headerMapping":"ATTRIBUTED_STRING_HEADER_MAPPING_UNSPECIFIED"},{"startIndex":31,"length":1,"headerMapping":"ATTRIBUTED_STRING_HEADER_MAPPING_UNSPECIFIED"},{"startIndex":32,"length":5,"headerMapping":"ATTRIBUTED_STRING_HEADER_MAPPING_UNSPECIFIED"},{"startIndex":37,"length":2371,"headerMapping":"ATTRIBUTED_STRING_HEADER_MAPPING_UNSPECIFIED"},{"startIndex":2408,"length":40,"headerMapping":"ATTRIBUTED_STRING_HEADER_MAPPING_UNSPECIFIED"},{"startIndex":2448,"length":11,"headerMapping":"ATTRIBUTED_STRING_HEADER_MAPPING_UNSPECIFIED"},{"startIndex":2459,"length":4,"h | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#pricing | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://www.fine.dev/blog/o1-vs-sonnet#fine-ai-coding-llm | OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back OpenAI o1 vs. Claude Sonnet 3.5: Which AI Model is Best for Coding? Introduction As AI continues to evolve, two models stand out: o1 by OpenAI and Claude Sonnet 3.5 by Anthropic. Both offer impressive capabilities for software developers, but their strengths vary, especially when it comes to coding. This blog compares these two AI models, focusing on coding tasks and general performance. Fine includes unlimited access to both models, making it a great way to test and compare how o1 and Sonnet perform with coding tasks. Core Differences o1 is designed for complex reasoning and problem-solving . Its responses are deep and thoughtful, making it ideal for developers working on intricate problems or needing detailed explanations. On the other hand, Claude Sonnet 3.5 focuses on efficiency and speed , excelling in rapid response times while being more cost-effective. If you're looking to quickly generate code or handle high-volume tasks, Claude Sonnet 3.5 may be the better option. Both models use transformer-based architectures, but o1 is more suited for developers seeking detailed reasoning, while Claude Sonnet 3.5 is the go-to for those who prioritize speed. Context Window and Performance The context window plays a crucial role in how well these models handle large inputs or extended conversations. ChatGPT o1 supports 128,000 tokens, while Claude Sonnet 3.5 handles a larger 200,000 tokens , giving it an advantage for tasks that require significant context retention, such as reviewing long codebases. Both models offer strong performance in a range of tasks, but their abilities shine in different areas. ChatGPT o1 excels in multistep reasoning , explaining complex code logic in detail, while Claude Sonnet 3.5 focuses on rapid, efficient bug fixes and code generation . Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? In October 2024, Anthropic announced an upgraded version of Claude 3.5 Sonnet. The recent updates to Claude 3.5 Sonnet have significantly enhanced its software engineering capabilities. Notably, the model's performance on the SWE-bench Verified benchmark has improved from 33.4% to 49.0%, surpassing all publicly available models, including OpenAI's o1-preview. This advancement reflects Claude 3.5 Sonnet's enhanced accuracy in function generation and error checking, particularly in debugging and refactoring code involving nested functions or interdependent segments. Additionally, the model's expanded token capacity allows it to retain and utilize more extensive context, making it ideal for reviewing large codebases or managing intricate projects with multiple dependencies. Early testing indicates that Claude 3.5 Sonnet excels in specialized coding tasks, such as identifying security vulnerabilities in web applications and optimizing algorithms for speed and efficiency. GitLab, for instance, reported up to a 10% improvement in reasoning capabilities for DevSecOps tasks with the updated model, without any increase in latency. AI use cases for coding with o1 and Claude Sonnet 3.5 ChatGPT o1: Debugging complex React state management: Use o1 to deeply analyze why certain states aren’t updating properly or conflicting across components. Refactoring legacy code: Employ o1’s thorough reasoning to restructure an old Python script for readability and maintainability. Creating algorithms: Ideal for writing and explaining algorithms like sorting, tree traversal, or dynamic programming in detail. Claude Sonnet 3.5: Generating boilerplate code: Quickly create setup files for new projects like Flask APIs or front-end scaffolding in Next.js. Auto-completing functions: Use it to complete a half-written JavaScript function with appropriate error handling and edge cases. Bulk code generation: Sonnet 3.5 excels in producing repetitive yet slightly varied code structures like similar API endpoints or unit test cases. Which AI Models do the different AI coding tools use? There are lots of dev tools available today to help with your AI coding, from advanced AI coding assistants such as Fine to code generators such as GitHub Copilot. Some use multiple LLMs, some give you the choice and others are based on one model only. Which AI Model (LLM) does Fine use? Fine is one of the few AI coding tools to offer users the choice between different LLMs for various tasks. When using Fine via the web browser, users can choose between o1-preview, 4o and Claude 3.5 Sonnet. You'll need a pro subscription to take advantage of this however, which is $13-15 per month. If you're a free user, you'll be able to use Fine with 4o. Click here to try it out. Which AI Model (LLM) does GitHub Copilot use? GitHub Copilot is heavily integrated with OpenAI. GitHub is owned by Microsoft who have a deep partnership with OpenAI. Most users have access to 4o, whilst Azure AI subscribers may be able to use GitHub Copilot with o1-mini and o1-preview. UPDATE: At GitHub Universe 2024, it was announced that this exclusive partnership was no longer so exclusive and that the option to use Claude would be rolled out to all GitHub Copilot users shortly. Some users have already been able to access Claude. It's available in the Copilot Chat in Visual Studio Code and Immersive Copilot in the web browser only. Which AI Model (LLM) does Cursor use? Cursor uses Claude 3.5 Sonnet by default and falls back to OpenAI 4o during Anthropic outages. Which AI Model (LLM) does Bolt use? Bolt, the AI coding tool that specializes exclusively in front-end, relies on Claude 3.5 Sonnet. Which AI Model (LLM) does Replit use? Although Replit previously released their own AI model in 2023, when they announced Replit Agent, their primary AI coding too, in 2024, it seems they took the decision to use Claude 3.5 Sonnet. How to compare different AI Coding tools and LLMs? If you're looking to compare which are the best AI coding tools or LLMs, there are a few things to bare in mind. First, it's important to assess the LLM and the tool separately. Use a tool like Fine that allows you to give the same task to multiple LLMs to compare which gives you the best result. Here's a comparison we did of the three models offered by Fine, posed with the same question: What does this repo do? (It's a question that some are calling the Hello World of AI coding). Second, compare how the tools perform with your chosen LLM, specific to your use case. Fine offers a variety of integrations to boost your productivity, such as the ability to make revisions inside GitHub PR, that are saving developers hours every week. Which Model Is Better for Coding? For coding tasks, your choice depends on your needs: ChatGPT o1 is the better option when working on complex, multistep problems where you need deep reasoning and thorough explanations. For example, it excels in explaining intricate code or assisting with debugging in a more thoughtful manner. Claude Sonnet 3.5 is the go-to model for fast, efficient code generation and iterative prototyping. It's cost-effective for high-volume tasks like generating multiple code snippets or automating bug fixes. Both models support developers in coding, but Claude Sonnet 3.5 may save time and money for everyday coding tasks, while ChatGPT o1 might be your ally for tougher, detailed coding problems. Conclusion When deciding between ChatGPT o1 and Claude Sonnet 3.5 , consider the complexity of your coding tasks and budget constraints. ChatGPT o1 offers better problem-solving for intricate tasks, while Claude Sonnet 3.5 provides faster, more affordable code generation for day-to-day development needs. Both models are powerful AI tools that can significantly enhance your productivity as a software developer. Sign up to a platform like Fine , which includes unlimited access to both, for the best of both worlds without overpaying. Why Subscribe to Fine? Fine is a platform that offers unlimited access to both o1 and Claude Sonnet 3.5 , allowing developers to switch between these powerful LLMs based on their task needs. This flexibility is perfect for those who require detailed explanations from ChatGPT or fast, efficient code generation from Claude. With Fine, there's no need to manage your own API keys or worry about usage limits—everything is included. Subscribing to Fine simplifies the process, offering cost-effective, unlimited access to both models for all your coding and development tasks. Sources McNulty, Niall. "ChatGPT o1 vs Claude Sonnet 3.5." Medium , 5 days ago. Link . "GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding?" Bind AI Blog , 17 Sep 2024. Link . "Compare o1 Preview vs. Claude 3.5 Sonnet." Context.ai . Link . Harisec. "o1 vs Claude." GitHub . Link . Table of Contents Introduction Core Differences Context Window and Performance Claude 3.5 Sonnet Upgraded Version - October 2024 - Is Claude now better than GPT for Coding? AI Coding use cases with o1 and Claude 3.5 Sonnet Which AI Model do different AI Coding tools use? Fine GitHub Copilot Cursor Bolt Replit How to compare LLMs and tools for AI coding Which Model Is Better for Coding? Conclusion Why Subscribe to Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:41 |
https://github.com/openai/codex/blob/main/docs/config.md#mcp-servers | codex/docs/config.md at main · openai/codex · GitHub Skip to content Navigation Menu Toggle navigation Sign in Appearance settings Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Spark Build and deploy intelligent apps GitHub Models Manage and compare prompts MCP Registry New Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI/CD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... --> Search Clear Search syntax tips Provide feedback --> We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly --> Name Query To see all available qualifiers, see our documentation . Cancel Create saved search Sign in Sign up Appearance settings Resetting focus You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} openai / codex Public Notifications You must be signed in to change notification settings Fork 7.2k Star 56k Code Issues 807 Pull requests 82 Discussions Actions Security Uh oh! There was an error while loading. Please reload this page . Insights Additional navigation options Code Issues Pull requests Discussions Actions Security Insights Footer © 2026 GitHub, Inc. Footer navigation Terms Privacy Security Status Community Docs Contact Manage cookies Do not share my personal information You can’t perform that action at this time. | 2026-01-13T08:49:41 |
https://future.forem.com/tanvir_khan_18c27d836a78f/navigating-the-ai-legal-minefield-your-business-guide-540b#comments | Navigating the AI Legal Minefield: Your Business Guide - Future Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Future Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse tanvir khan Posted on Dec 31, 2025 Navigating the AI Legal Minefield: Your Business Guide # ai # privacy # security Let me tell you a story. Just last year, a friend of mine, brilliant guy, ran a small but mighty tech firm. They built this incredible AI-powered analytics tool for the finance sector. Cutting edge, truly transformative. He poured his heart and soul, and every penny he had, into it. Then, bam! A cease and desist letter. Apparently, their shiny new algorithm, in its infinite wisdom, had ingested some data that it shouldn't have. Not maliciously, mind you, just... because it could. The legal fallout nearly sank his company. It was a brutal, real-world lesson in something we all tend to overlook: AI law. I’ve been knee-deep in the intersection of technology and regulation for over a decade, and I genuinely believe that understanding AI law isn't just a compliance chore; it's a strategic imperative. We’re not talking about some distant, dystopian future anymore. AI is here, it’s in your business, it’s impacting your customers, and it's certainly on the radar of regulators. If you think your business is too small to worry about AI law, or that your AI use is too rudimentary, think again. The consequences of ignorance are, as my friend learned, devastating. The Unseen Iceberg: Why AI Law Matters to Your Business I know what you're thinking. "My business just uses a chatbot for customer service," or "We only use AI for recommending products." And sure, those seem innocuous enough on the surface. But look a little deeper. Every single interaction, every recommendation, every piece of data processed by that AI, carries a legal weight. It's an unseen iceberg, and the Titanic moments happen when you only focus on the visible tip. Here's the deal: AI law isn’t a single, neatly defined discipline. It’s a swirling vortex of existing laws being reinterpreted for a new technological paradigm, combined with brand new regulations emerging at a dizzying pace. Think about it: data privacy laws like GDPR and CCPA suddenly become infinitely more complex when AI is autonomously processing vast datasets. Intellectual property? What happens when an AI generates art or code – who owns it? Discrimination? If your hiring algorithm unknowingly perpetrates bias, that's a legal minefield. Product liability? If your AI makes a flawed decision that harms a user, who's responsible? This isn't about fear-mongering; it's about preparation. My goal here isn't to turn you into a lawyer – leave that to the professionals. What I want to do is equip you with the essential mindset and understanding to spot these risks early, ask the right questions, and protect your business from the lurking legal pitfalls of artificial intelligence. The Shifting Sands of Global AI Regulation One of the biggest challenges I see businesses face is the sheer fragmentation of AI law. You might operate in one country, but your users or data might be global, immediately thrusting you into multiple legal jurisdictions. The European Union, for instance, is at the forefront with its proposed AI Act, a truly groundbreaking piece of legislation aiming to categorize AI systems by risk level and impose stringent requirements. High-risk AI, like those used in critical infrastructure or law enforcement, will face rigorous compliance hurdles. Meanwhile, the U.S. approach is more sectoral and fragmented, with various agencies issuing guidance. China, on the other hand, is rolling out extensive regulations around synthetic media and algorithmic recommendations. It's a patchwork quilt, and if you’re trying to navigate it without a map, you’re asking for trouble. This is why a proactive, globally-aware strategy for AI law is no longer optional. Key Legal Battlegrounds for AI in Business Let’s peel back the layers and look at the areas where I’ve seen most businesses trip up. These are the crucial intersection points where AI innovation meets legal reality. 1. Data Privacy and Security: The Bedrock of AI Law This is, without a doubt, the biggest and most immediate concern. Every AI system, from a simple recommender engine to a complex diagnostic tool, relies on data. Lots of it. And where there's data, there's privacy. I often see businesses acquire or collect data with one purpose in mind, then later decide to feed it into an AI for an entirely different purpose. Red flag! Data privacy laws like GDPR have strict principles around purpose limitation and consent. Can you honestly say you obtained explicit, informed consent for all the ways your AI might use that data? And if your AI learns from personal data, how do you manage rights like the right to erasure or the right to access? Furthermore, what about security? AI systems can be vulnerable. Training data can be poisoned, models can be reverse-engineered, and inferences can expose sensitive information. A robust data governance framework is non-negotiable. This means knowing where your data comes from, how it’s being used, who has access, and how it’s protected throughout its lifecycle – especially when an AI is involved. 2. Bias and Discrimination: The Ethical and Legal Minefield Here's where things get really tricky, and often, really human. AI systems learn from data. If that data reflects existing societal biases, the AI will likely amplify them. And trust me, bias isn't always obvious. I remember working with a company whose AI-powered hiring tool was inadvertently discriminating against candidates from certain demographic groups. The data it was trained on, seemingly innocuous past hiring decisions, encoded historical biases. The legal implications are severe. Discrimination laws, already complex, become even more so when the decision-maker is an algorithm rather than a person. Who is accountable? The developer? The deploying company? Both? Regulators are increasingly scrutinizing algorithmic fairness and transparency. You need to be asking: How was this AI trained? What data was used? How do we test for and mitigate bias? And can we explain why the AI made a particular decision? 3. Intellectual Property (IP) When AI Creates This is a fascinating and rapidly evolving area. For decades, IP law has revolved around human authors and inventors. But what happens when an AI generates a piece of music, writes an article, or designs a new product? Who owns the copyright or patent? Is it the developer of the AI? The user who prompted it? Nobody? Currently, many jurisdictions still lean towards human authorship. However, this is being challenged daily. More practically for businesses, if your AI is trained on copyrighted material, such as vast datasets of text or images, are you infringing on existing copyrights? This is a huge, largely unresolved question, and it's why many companies are facing lawsuits from creators whose work was used to train generative AI models without permission. Establishing clear policies around data sourcing and output ownership is critical. 4. Liability and Accountability: Who’s Responsible? If your AI-powered medical device makes a wrong diagnosis, or your autonomous vehicle causes an accident, or your chatbot gives dangerous advice, who is legally responsible? This is product liability 2.0, but with a twist. Traditional liability models assume a human manufacturer and a predictable product. AI, with its adaptive and sometimes opaque decision-making processes, throws a wrench into that. The EU AI Act, for example, is attempting to create a framework for this, but it’s still early days globally. Businesses need to consider their risk allocation frameworks. What are your terms of service saying? Are you disclaiming certain liabilities? Are you transparent about the limitations of your AI? These aren’t just technical questions; they are fundamental legal and reputational ones. We need to move beyond simply deploying AI and start asking, "What if it goes wrong?" and "Who pays when it does?" Actionable Steps for Your Business Today So, if I’ve convinced you that AI law isn’t some abstract concept but a very real challenge, what do you do now? I’ve seen many businesses paralyzed by the complexity. Don’t be. Here are some immediate, practical steps you can take: 1. Conduct an AI Inventory and Risk Assessment My first piece of advice: know what you’re dealing with. Many businesses use AI without even realizing the extent of their exposure. Create a comprehensive list of every AI system or component you use or develop. For each, ask: What data does it process? (personal, sensitive, proprietary?) What's its purpose? (internal, customer-facing, critical decision-making?) What are the potential harms? (bias, privacy breach, economic harm, physical harm?) Who built it? Who maintains it? What legal jurisdictions apply? Categorize these systems by risk. A simple internal chatbot is different from an AI making credit decisions. This inventory is your starting point for understanding your unique AI law profile. 2. Implement Robust Data Governance – AI-Ready Edition Given the paramount importance of data, you need a data governance framework that accounts for AI. This means: Clear Data Acquisition Policies: Ensure you have the right to collect and use data for AI training, especially considering future uses. Data Lifecycle Management: Track data from ingestion to deletion, understanding how AI interacts with it at each stage. Anonymization/Pseudonymization: Where possible, reduce the reliance on directly identifiable personal data. Regular Audits: Regularly audit your data sources and AI models for compliance with privacy laws and ethical guidelines. Trust me, investing in this upfront saves you monumental headaches down the line. If you want to take this further, Learn more here about robust data practices that I personally found helpful in early-stage companies. 3. Prioritize Transparency and Explainability This isn't just a technical challenge; it's a legal and ethical one. Regulators and consumers increasingly demand to understand how and why an AI makes its decisions. Can your AI explain its output in a way that's understandable to a non-expert? For high-risk applications, you might need to implement interpretable AI techniques. For others, simply being transparent about the use of AI – for example, disclosing that a customer service interaction is with an AI – can significantly reduce legal exposure. What are you telling your customers? Is it clear when they're interacting with an AI? Are you explaining the limitations of your AI? These small acts of transparency build trust and can be a strong defense in legal challenges. 4. Build a Multidisciplinary AI Ethics & Compliance Team No single person has all the answers here. You need input from legal, technical, and ethical experts. This isn't just about compliance; it's about building responsible AI. I’ve seen this work best when it’s not an afterthought but integrated into the development process from the very beginning. Legal Counsel: Get lawyers involved early who specialize in data privacy, IP, and emerging tech law. AI Ethicists/Researchers: People who understand algorithmic bias and societal impact. Engineers/Developers: Who can translate legal requirements into technical solutions. Business Leaders: To ensure alignment with strategic goals and risk appetite. 5. Stay Informed and Adaptable AI law is a moving target. What's permissible today might be risky tomorrow. Subscribe to legal tech newsletters, follow regulatory bodies, and engage with industry groups. Your compliance framework can’t be static; it needs to be dynamic, constantly adapting to new laws, guidance, and technological advancements. I know this sounds like a lot, but ignoring it is not an option. For every success story fueled by AI, there's a cautionary tale of regulatory oversight, fines, and reputational damage. The businesses that will thrive in this new AI-driven economy aren't just the ones with the best technology; they're the ones that understand and proactively manage the legal landscape. My friend's company eventually recovered, but the ordeal left scars – and a very expensive lesson. Don't learn the hard way. Take AI law seriously, because in this brave new world, it's not just a footnote; it's the main event. Protect your innovation, protect your customers, and protect your business. This isn't just about avoiding penalties; it's about building a sustainable, ethical, and legally sound future for your enterprise in the age of intelligent machines. The world is watching, and frankly, so are the regulators. Are you ready? Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse tanvir khan Follow Joined Dec 30, 2025 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Future — News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Future © 2025 - 2026. Stay on the cutting edge, and shape tomorrow Log in Create account | 2026-01-13T08:49:41 |
https://vibe.forem.com/t/claude | Claude - Vibe Coding Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Vibe Coding Forem Close # claude Follow Hide Anthropic AI assistant Create Post Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Claude Code Couldn't Fix My Workflows Automatically, So I Built a System to Fix Them Z. Song Z. Song Z. Song Follow Jan 9 Claude Code Couldn't Fix My Workflows Automatically, So I Built a System to Fix Them # claude # skill Comments Add Comment 2 min read Building a SaaS with Claude Code: Why Experience and Framework Choice Matter José José José Follow Jan 8 Building a SaaS with Claude Code: Why Experience and Framework Choice Matter # claude # cloud Comments Add Comment 3 min read IT'sALl EXTRa jwl247 jwl247 jwl247 Follow Dec 17 '25 IT'sALl EXTRa # ironcode # authenticcoder # extremeprogramming # claude Comments Add Comment 1 min read Vibe Coding Isn’t Dumb — You’re Just Overthinking It (Especially With Tools Like ToolJet & Lovable Around) Benny Benny Benny Follow Nov 29 '25 Vibe Coding Isn’t Dumb — You’re Just Overthinking It (Especially With Tools Like ToolJet & Lovable Around) # ai # claude # lovable # tooljet Comments Add Comment 2 min read How to launch your MVP in a weekend without getting stuck in configuration hell.( + Black Friday Deal 🚀) Saathwik Saathwik Saathwik Follow Nov 27 '25 How to launch your MVP in a weekend without getting stuck in configuration hell.( + Black Friday Deal 🚀) # ai # buildinpublic # claude # githubcopilot 5 reactions Comments Add Comment 3 min read Session Vs. Memory in claude CLI /memory: Finally Context That Survives! Nick Porter Nick Porter Nick Porter Follow Nov 17 '25 Session Vs. Memory in claude CLI /memory: Finally Context That Survives! # ai # claude # vscode Comments Add Comment 2 min read Puzzleet: When Algorithms Meet Play Andriy Kudelya Andriy Kudelya Andriy Kudelya Follow Nov 7 '25 Puzzleet: When Algorithms Meet Play # ai # claude # githubcopilot # vscode Comments Add Comment 1 min read New fav claude CLI commands: /primer & /wrap-up Nick Porter Nick Porter Nick Porter Follow Nov 17 '25 New fav claude CLI commands: /primer & /wrap-up # claude # ai 4 reactions Comments 4 comments 4 min read runCLAUDErun - Scheduler for Claude Code william wnekowicz william wnekowicz william wnekowicz Follow Oct 6 '25 runCLAUDErun - Scheduler for Claude Code # discuss # ai # claude Comments 1 comment 1 min read GNU Screen vs Tmux: The Ultimate Terminal Multiplexer Showdown" - A Hilarious Yet Comprehensive Guide David Christian Liedle David Christian Liedle David Christian Liedle Follow Sep 26 '25 GNU Screen vs Tmux: The Ultimate Terminal Multiplexer Showdown" - A Hilarious Yet Comprehensive Guide # tmux # cli # screen # claude Comments Add Comment 1 min read I Was Vibe Coding Before It Was Cool Juno Threadborne Juno Threadborne Juno Threadborne Follow Oct 21 '25 I Was Vibe Coding Before It Was Cool # discuss # ai # claude 8 reactions Comments 1 comment 7 min read I Built Clueoai Because Every AI App Is a Security Nightmare Waiting to Happen BlackOcra BlackOcra BlackOcra Follow Oct 14 '25 I Built Clueoai Because Every AI App Is a Security Nightmare Waiting to Happen # ai # api # openai # claude 7 reactions Comments 1 comment 1 min read I was tired of regression testing, so I weekend-vibe-coded something wyctor wyctor wyctor Follow Oct 12 '25 I was tired of regression testing, so I weekend-vibe-coded something # ai # opensource # cli # claude 10 reactions Comments Add Comment 1 min read MdBin: Share Beautiful Rendered Markdown Instead of Raw Code Sivaram Sivaram Sivaram Follow Oct 16 '25 MdBin: Share Beautiful Rendered Markdown Instead of Raw Code # markdown # ai # productivity # claude 5 reactions Comments 1 comment 4 min read Quality vs. Efficacy: Learning with AI Yaysa Yaysa Yaysa Follow Sep 5 '25 Quality vs. Efficacy: Learning with AI # ai # claude Comments Add Comment 5 min read # Building CodeGenie: A Local AI Coding Agent (100% Offline & Private). Check it out Sherin Joseph Roy Sherin Joseph Roy Sherin Joseph Roy Follow Oct 6 '25 # Building CodeGenie: A Local AI Coding Agent (100% Offline & Private). Check it out # ai # devops # claude # opensource 1 reaction Comments Add Comment 4 min read HTMX in 2025 by Claude David Christian Liedle David Christian Liedle David Christian Liedle Follow Sep 21 '25 HTMX in 2025 by Claude # ai # author # claude # opus 3 reactions Comments 1 comment 1 min read 🚀 Launching Revolutionary AI Development: Prototype Mode vs Production Mode A S A S A S Follow Oct 6 '25 🚀 Launching Revolutionary AI Development: Prototype Mode vs Production Mode # ai # agents # claude # react Comments Add Comment 1 min read Claude Code - Agents Paolo Brera Paolo Brera Paolo Brera Follow Oct 2 '25 Claude Code - Agents # vibecoding # claude # ai 1 reaction Comments Add Comment 1 min read Modern Go: A Book by Claude David Christian Liedle David Christian Liedle David Christian Liedle Follow Sep 22 '25 Modern Go: A Book by Claude # ai # author # opensource # claude Comments Add Comment 1 min read Using Claude for Chrome Andre Moreira Andre Moreira Andre Moreira Follow Sep 30 '25 Using Claude for Chrome # ai # claude # plugin 4 reactions Comments 2 comments 3 min read New Platform Launch LM Vino LM Vino LM Vino Follow Sep 26 '25 New Platform Launch # ai # opensource # git # claude 2 reactions Comments Add Comment 1 min read I had Claude Code write a book on shell scripting in 2025 David Christian Liedle David Christian Liedle David Christian Liedle Follow Sep 22 '25 I had Claude Code write a book on shell scripting in 2025 # ai # claude # author # shell 4 reactions Comments 2 comments 1 min read Built an all in one 🤖AI tool to turn software development chaos into structure - need your feedback! [Use it for FREE] LM Vino LM Vino LM Vino Follow Sep 16 '25 Built an all in one 🤖AI tool to turn software development chaos into structure - need your feedback! [Use it for FREE] # ai # devops # opensource # claude 9 reactions Comments Add Comment 1 min read How I built an App in two weeks and what this means Martijn Benjamin Martijn Benjamin Martijn Benjamin Follow Aug 12 '25 How I built an App in two weeks and what this means # ai # claude # vscode 4 reactions Comments 3 comments 4 min read loading... trending guides/resources Puzzleet: When Algorithms Meet Play Session Vs. Memory in claude CLI /memory: Finally Context That Survives! Claude Code Couldn't Fix My Workflows Automatically, So I Built a System to Fix Them How to launch your MVP in a weekend without getting stuck in configuration hell.( + Black Friday ... New fav claude CLI commands: /primer & /wrap-up Building a SaaS with Claude Code: Why Experience and Framework Choice Matter Vibe Coding Isn’t Dumb — You’re Just Overthinking It (Especially With Tools Like ToolJet & Lovabl... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:41 |
https://future.forem.com/hushuai_wang_29fb41896f72/i-want-people-to-document-their-entire-lives-from-childhood-to-adulthood-k1f | I want people to document their entire lives from childhood to adulthood. - Future Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Future Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse hushuai wang Posted on Dec 29, 2025 I want people to document their entire lives from childhood to adulthood. # ai # productivity # education Inspiration: Why Did I Create BabyVideo.ai? The initial motivation was simple: I discovered that "parent-child/baby" content has a natural power to spread on social media platforms—whether it's cute, funny, heartwarming, or topics like "what will the future baby look like?", people can't help but click, comment, and share. However, creating truly "good-looking, presentable, and shareable" baby content quickly and easily is actually quite challenging for ordinary people: you need editing skills, color correction skills, and the ability to create source materials, plus time. I wanted to create a tool that "requires no editing skills": users simply upload a photo or enter a description, choose a template, and can directly generate a finished video/image. Ideally, it should also cover the most popular types of content: Future Baby Prediction: Couples upload photos of themselves and generate a "future baby's" appearance (highly entertaining). Growth/Age Progression: Generate multiple age comparisons from the same image (strong commemorative value). Cartoon Baby: Turn baby photos into various styles of cartoon avatars with one click (multiple sharing scenarios). Baby-themed video templates: Transforming "content creation" into "selecting templates and generating videos," lowering the barrier to entry. BabyVideo.ai was born with this goal in mind: to make "baby content creation" a product that everyone can use and share immediately after use. Development Experience: From 0 to Launch, What Pitfalls Did I Encounter? 1) A Product Isn't Just About "Connecting a Model" Many people think that AI products are simply about connecting to a model API and generating images/videos. However, the most difficult part isn't the model itself, but rather making the entire process stable, controllable, and scalable. For example: Even with the same "video template," the quality of input photos from different users can vary greatly—lighting, angle, clarity, face occlusion, group photos… all affect the final result. Therefore, I had to implement many "product-level safeguards": When users don't input a description, use default suggestions to ensure stable video output. When users input a description, limit length/sensitive words/unreasonable requests to prevent generation failures. Failures must be retryable, problem-solving mechanisms must be available, and a points refund/compensation mechanism must be in place (otherwise, users will quickly churn). 2) Cost and Billing: The biggest pain point isn't the technology, but "accounting." The cost of AI-generated content is dynamic: sometimes, for the same 7-second video, a long inference run can cause costs to skyrocket; concurrency, queuing, and retries can all make single-transaction costs uncontrollable. So I spent a lot of time on two things: Cost monitoring: The actual cost per function, per generation, and per second of video must be statistically calculated. Points system: Convert dollar costs into "points" that users can understand, while ensuring long-term profitability. If this isn't done well, the product can easily fall into the situation where "the more users use it, the more you lose." For independent developers, this is almost fatal. 3) Engineering Details: Login, Storage, Queuing, Failure Handling Once deployed, you'll find that user issues are often very "life-like," but solving them requires a highly engineered approach: Login System: Email login, third-party login, CAPTCHA, anti-fraud measures, anti-abuse measures Storage System: Generated videos/images must be stored in object storage, with an extensible path structure (different directories for different functions) Queuing and Concurrency: AI tasks cannot run indefinitely; queuing, rate limiting, and status tracking are necessary. Task Status: Generating, Failed, Successful, Expired, Retry—each step must have a clear state machine. Anomaly Handling: Model timeouts, third-party interface fluctuations, and non-compliant user input all require handling logic. Often, users only see a button, but behind it lies a whole stability system. 4) Multilingualism and SEO: It's not just about translation To reach more users, I created multilingual pages. However, it was quickly discovered that: Multilingualism involves more than just translation; it also requires considering the search habits of local users (e.g., keyword differences between Russian and English). Page structure, H1/H2 pages, FAQs, schemas, and internal links all affect indexing and ranking. There's also the issue of "content duplication": how to avoid competition between pages offering the same functionality in different languages, and how to properly canonicalize content. SEO is crucial for AI tool sites, but it's also a long-term, iterative, and systematic project. Operational Process: How did I move from "creating" to "having users"? 1) In the very early stages: Focus on "shareable results," not "advanced features." In the early stages of operation, my primary focus was on whether users were willing to share the results they generated. Because for a product like babyvideo.ai, the best growth isn't advertising, but rather users sharing on social media platforms themselves. Therefore, I prioritized streamlining the template, output quality, generation speed, and sharing experience: The generated results should be "so appealing you'll want to share them at first glance." The output should be clear enough, and the style should be consistent. Don't require users to fill in too many complex parameters (to reduce churn). 2) Channel Experimentation: Directory Exposure, Community Posts, Short Video Materials I tried many methods: submitting to AI tool directories, posting on community forums, and driving traffic through platforms like Pinterest/Quora. But I quickly discovered a pattern: The exposure directory of nofollow links doesn't necessarily directly improve SEO, but it can bring real clicks, brand search, and subsequent organic mentions. Buying backlinks that "look like dofollow links" has very limited SEO value if the placement is social media/UGC. The most effective approach is often: Content + Demo + Result Comparison. Showing users the difference between input and output naturally encourages them to click and try. Therefore, I started focusing more on creating "reproducible demo materials": Future Baby Prediction: Couple Photos → Baby Prediction Images Growth Changes: One Image → Comparison of Multiple Age Groups Cartoon Babies: Original Image → Collection of Multiple Style Avatars. This content is advertising in itself, and it's easier to spread than hard-sell ads. 3) User Feedback Drives Iteration: Treat "Generation Failure" as a Product Task The most crucial feedback in operations isn't "How good does it look?", but rather: Why did generation fail? Why does it not look right? Why is the queue too long? Why is the points consumption incomprehensible? Each of these issues can directly translate into product iteration points: better input suggestions, more stable default parameters, clearer billing explanations, more transparent task status, and more reasonable failure compensation. For independent developers, operations are not "doing marketing," but "using real users to push the product to become stronger." The current understanding: The hardest thing about building SaaS is "continuously doing one thing well." Building it from 0 to 1 is just the beginning. The real challenges are: Controllable costs Stable user experience Continuously improving output quality Continuous channel testing Continuous SEO/content accumulation Continuous user feedback iteration BabyVideo.ai is also constantly iterating. I hope it becomes a tool where "anyone can easily generate baby-themed content": no editing, no design, no complicated learning curve, just open a webpage to get a shareable result. BabyVideo.ai Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse hushuai wang Follow Joined Dec 29, 2025 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Future — News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Future © 2025 - 2026. Stay on the cutting edge, and shape tomorrow Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/scale_youtube/ndc-conferences-demystifying-the-enigma-machine-a-functional-journey-isaac-abraham-ndc-a16 | NDC Conferences: Demystifying the Enigma Machine - a Functional Journey - Isaac Abraham - NDC Copenhagen 2025 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Scale YouTube Posted on Nov 5, 2025 NDC Conferences: Demystifying the Enigma Machine - a Functional Journey - Isaac Abraham - NDC Copenhagen 2025 # security In this talk from NDC Copenhagen 2025, Isaac Abraham takes us on a functional-programming spin through the WWII-era Enigma machine. You’ll get the backstory on how Enigma worked (rotors, reflector, plugboard), see why its “unbreakable” cipher actually had fatal flaws, and discover how you can model all those moving parts as a slick F# pipeline of pure functions. On top of the history and design, Isaac dives into real-world testing tactics: property-based tests to prove your encrypt/decrypt loop always matches up, plus unit tests to nail down each component. It’s a neat mash-up of vintage cryptography and modern functional techniques that’ll leave you itching to build your own Enigma emulator. Watch on YouTube Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Scale YouTube Follow Joined Aug 2, 2025 More from Scale YouTube NDC Conferences: Demystifying the Enigma Machine - a Functional Journey - Isaac Abraham - NDC Copenhagen 2025 # security NDC Conferences: Demystifying the Enigma Machine - a Functional Journey - Isaac Abraham - NDC Copenhagen 2025 # security # architecture 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://forem.com/t/ec2/page/8 | Ec2 Page 8 - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close # ec2 Follow Hide Create Post Older #ec2 posts 5 6 7 8 9 10 11 12 13 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Assigning a FQDN (Fully Qualified Domain Name) to an EC2 Instance Using Route 53 Ahmed Salem Ahmed Salem Ahmed Salem Follow for AWS Community Builders Jan 20 '25 Assigning a FQDN (Fully Qualified Domain Name) to an EC2 Instance Using Route 53 # r53 # ec2 # aws # cloudformation 2 reactions Comments Add Comment 4 min read AWS Compute with High Availability & Huge Savings - A simple strategy using Spot !! VijayaNirmalaGopal VijayaNirmalaGopal VijayaNirmalaGopal Follow for AWS Community Builders Feb 7 '25 AWS Compute with High Availability & Huge Savings - A simple strategy using Spot !! # aws # ec2 # savings # loadbalancer 3 reactions Comments Add Comment 3 min read Install-DeepSeek_Ollama-on-AWS-EC2 Enrique Aguilar Martinez Enrique Aguilar Martinez Enrique Aguilar Martinez Follow Feb 7 '25 Install-DeepSeek_Ollama-on-AWS-EC2 # aws # ec2 # llm 2 reactions Comments Add Comment 3 min read How to Provision an Ubuntu Server & Using Apache for Hosting a Website Vincent Agu Vincent Agu Vincent Agu Follow Jan 3 '25 How to Provision an Ubuntu Server & Using Apache for Hosting a Website # aws # cloudcomputing # ec2 # devops Comments Add Comment 6 min read Deploying an EC2 Instance Using Terraform Nirmal Chandrasiri Nirmal Chandrasiri Nirmal Chandrasiri Follow Feb 4 '25 Deploying an EC2 Instance Using Terraform # aws # ec2 # terraform # devops Comments Add Comment 3 min read Different Methods to Connect to a AWS Linux Compute Engine Instance Ahmad Majeed Zahoory Ahmad Majeed Zahoory Ahmad Majeed Zahoory Follow Jan 23 '25 Different Methods to Connect to a AWS Linux Compute Engine Instance # aws # linux # ssh # ec2 Comments Add Comment 3 min read AWS Security Groups provides network-level firewalls for instances. Isah Bashir Ibrahim Isah Bashir Ibrahim Isah Bashir Ibrahim Follow for AWS Community Builders Jan 19 '25 AWS Security Groups provides network-level firewalls for instances. # aws # ec2 1 reaction Comments Add Comment 2 min read Automating EC2 Instance Resizing with AWS Systems Manager (SSM) Document Ahmed Salem Ahmed Salem Ahmed Salem Follow for AWS Community Builders Jan 29 '25 Automating EC2 Instance Resizing with AWS Systems Manager (SSM) Document # ec2 # ssm # systemmanager 2 reactions Comments Add Comment 6 min read Journey of Enhanced & Mindful Architecture - Part 2 VijayaNirmalaGopal VijayaNirmalaGopal VijayaNirmalaGopal Follow for AWS Community Builders Jan 28 '25 Journey of Enhanced & Mindful Architecture - Part 2 # governance # aws # iam # ec2 Comments Add Comment 2 min read Journey of Enhanced & Mindful Architecture - Part 1 VijayaNirmalaGopal VijayaNirmalaGopal VijayaNirmalaGopal Follow for AWS Community Builders Jan 27 '25 Journey of Enhanced & Mindful Architecture - Part 1 # aws # architecture # ec2 # lambda 1 reaction Comments 1 comment 2 min read EC2 Placement Groups: Fine-Tuning Your Cloud Infrastructure for Specific Workload Needs Lindiwe Dokotala Lindiwe Dokotala Lindiwe Dokotala Follow Jan 27 '25 EC2 Placement Groups: Fine-Tuning Your Cloud Infrastructure for Specific Workload Needs # aws # tutorial # ec2 # beginners 7 reactions Comments Add Comment 3 min read Identifying EBS Volumes and Mount Points with lsblk sourav sourav sourav Follow Dec 23 '24 Identifying EBS Volumes and Mount Points with lsblk # linux # ec2 # ebs # aws Comments Add Comment 2 min read Creating an Amazon EC2 instance with remote root user access and configuring an usage alerting Rodrigo Kamada Rodrigo Kamada Rodrigo Kamada Follow for AWS Community Builders Jan 26 '25 Creating an Amazon EC2 instance with remote root user access and configuring an usage alerting # aws # ec2 # root # monitor Comments Add Comment 6 min read Securely Connecting to Private EC2 Instances with EC2 Instance Connect Endpoint John Ajera John Ajera John Ajera Follow Jan 26 '25 Securely Connecting to Private EC2 Instances with EC2 Instance Connect Endpoint # aws # ec2 # connect # endpoint Comments Add Comment 3 min read Securely Connecting to EC2 Instances with EC2 Instance Connect John Ajera John Ajera John Ajera Follow Jan 26 '25 Securely Connecting to EC2 Instances with EC2 Instance Connect # aws # ec2 # instance # connect Comments Add Comment 2 min read Secure Remote Access to Private EC2 Instances with AWS SSM Session Manager John Ajera John Ajera John Ajera Follow Jan 26 '25 Secure Remote Access to Private EC2 Instances with AWS SSM Session Manager # aws # ec2 # session # manager Comments Add Comment 3 min read Copying a file from Ec2 to S3 using PuTTy software Harinivas. M Harinivas. M Harinivas. M Follow Jan 23 '25 Copying a file from Ec2 to S3 using PuTTy software # cloudcomputing # puttysoftware # ec2 # s3 1 reaction Comments Add Comment 1 min read AWS EC2 + IAM + S3: Using putty Dharshinisri G Dharshinisri G Dharshinisri G Follow Jan 23 '25 AWS EC2 + IAM + S3: Using putty # ec2 # iam # security # cloud Comments Add Comment 3 min read Getting Started With Terraform! Deploying an AWS EC2 Instance John Ogbonna John Ogbonna John Ogbonna Follow Jan 21 '25 Getting Started With Terraform! Deploying an AWS EC2 Instance # terraform # aws # ec2 # devops 6 reactions Comments Add Comment 6 min read Power Up Your AWS Game: Create EC2 Instances, Install Apache, and Connect with PowerShell Francisco Escobar Francisco Escobar Francisco Escobar Follow Jan 14 '25 Power Up Your AWS Game: Create EC2 Instances, Install Apache, and Connect with PowerShell # aws # devops # ec2 # apache 1 reaction Comments Add Comment 2 min read Introducing vulne-soldier: A Modern AWS EC2 Vulnerability Remediation Tool Omolayo Victor Omolayo Victor Omolayo Victor Follow Jan 14 '25 Introducing vulne-soldier: A Modern AWS EC2 Vulnerability Remediation Tool # aws # vulnerabilities # terraform # ec2 Comments Add Comment 4 min read Terraform in AWS | Provision EC2 with AWS Systems Manager SSM access Nuwan Arambage Nuwan Arambage Nuwan Arambage Follow Jan 10 '25 Terraform in AWS | Provision EC2 with AWS Systems Manager SSM access # devops # ec2 # aws # terraform Comments Add Comment 4 min read Forward logs to Cloudwatch for an EC2 instance running a custom Linux AMI Auke Noppe Auke Noppe Auke Noppe Follow Jan 9 '25 Forward logs to Cloudwatch for an EC2 instance running a custom Linux AMI # aws # ec2 # cloudwatch 1 reaction Comments Add Comment 8 min read How to Build a Simple AWS Test Environment with Terraform Jon Batista Jon Batista Jon Batista Follow Jan 8 '25 How to Build a Simple AWS Test Environment with Terraform # tutorial # terraform # aws # ec2 7 reactions Comments Add Comment 3 min read Tensorflow on AWS Lidia del Carmen Benitez Ruiz Lidia del Carmen Benitez Ruiz Lidia del Carmen Benitez Ruiz Follow Jan 8 '25 Tensorflow on AWS # tensorflow # genai # ec2 # aws Comments Add Comment 2 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a blogging-forward open source social network where we learn from one another Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/sunny_anand_dev | SUNNY ANAND - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions SUNNY ANAND Full Stack Systems Engineer building high-performance AI infrastructure. Architect of Nexus Gateway (Open Source AI Cache). Passionate about Go, Distributed Systems, and Scalability. Location India Joined Joined on Jan 6, 2026 Personal website https://nexus-gateway.org github website twitter website Work Founder @ Nexus Gateway More info about @sunny_anand_dev Badges Go Awarded to the top Go author each week Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Post 1 post published Comment 4 comments written Tag 12 tags followed How I Built a Golang AI Gateway to Cut OpenAI Costs by 90% SUNNY ANAND SUNNY ANAND SUNNY ANAND Follow Jan 6 How I Built a Golang AI Gateway to Cut OpenAI Costs by 90% # go # ai # systemdesign # opensource 5 reactions Comments 6 comments 2 min read Want to connect with SUNNY ANAND? Create an account to connect with SUNNY ANAND. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://future.forem.com/report-abuse#main-content | Report abuse - Future Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Future Close Report abuse Thank you for reporting any abuse that violates our Code of Conduct and/or Terms and Conditions . We continue to try to make this environment a great one for everybody. If you are submitting a bug report, please create a GitHub issue in the main Forem repo. Rude or vulgar Harassment or hate speech Spam or copyright issue Inappropriate listings message/category Other Reported URL Message Please provide any additional information or context that will help us understand and handle the situation. Send Feedback 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Future — News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Future © 2025 - 2026. Stay on the cutting edge, and shape tomorrow Log in Create account | 2026-01-13T08:49:41 |
https://members.opensource.org/open-policy-alliance-membership/ | Application for Open Policy Alliance Membership – OSI Members Site Skip to content Return 🏠 Donate Join Login Open Main Menu Search Our Site Search Search for: Home Application for Open Policy Alliance Membership Application for Open Policy Alliance Membership Statement of purpose and shared values The Open Policy Alliance is an Open Source Initiative project. Its mission is to convene non-profit organizations with a focus on open disciplines and facilitate opportunities to educate and inform US policy development through information sharing, development of educational materials, and responding to calls for information by governmental bodies. The goal is to increase understanding of the value of open collaboration in disciplines that benefit the public and to shed light on how these communities work in practice in support of improved policy development. Criteria Open Policy Alliance membership is open to registered charities, non-profit, or equivalent organizations without beneficial owners and with official recognition. They must be in good standing with a shared interest in information sharing and informing public policy development. Topics of shared interest include Open Source Software, Open Data, Open Education, Open Research and Open Content. Members are expected to adhere to OSI’s code of conduct for mailing lists and events . Interested in joining? Apply by filling in the form below. Order Number Apply to become a member of the Open Policy Alliance Organization Name Organization Website * Proof of Registration * Link to your registry page providing proof of registration as a non-profit or public benefit organization in your country of origin. Statement of Interest * Why does your organization wish to join? Nature of Organization’s Work * Describe the open nature of your organization’s work, the community that surrounds it, and how it is made available. If releasing software, indicate which OSI-approved license is used. Main Contact of the Organization Prefix Mrs. Ms. Mr. Dr. Ambassador First Name Last Name Email Job Title Policy Contact Provide a policy point of contact. This should be the person in your organization whose role includes considering the impact of public policy on your organization’s open mission and can speak to those interests and concerns. Prefix Mrs. Ms. Mr. Dr. Ambassador First Name Last Name Email Job Title Administrative Contact This should be a contact in your organization for continuity of representation, or another contact that is a sustained role. Prefix Mrs. Ms. Mr. Dr. Ambassador First Name Last Name Email Job Title OSI Code of Conduct I accept the OSI Code of Conduct Proudly powered by WordPress. Hosted by Pressable. | 2026-01-13T08:49:41 |
https://dev.to/deved/build-apps-with-google-ai-studio#What-if-I-get-stuck | Build Apps with Google AI Studio - DEV Education Track - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close DEV Education Tracks > Build Apps with Google AI Studio Build Apps with Google AI Studio Follow Tag View Discussions Learn to turn text prompts into fully functional web applications using Google AI Studio Track Overview The moment is here! We recently announced DEV Education Tracks , our new initiative to bring you structured learning paths directly from industry experts. Today, we're thrilled to launch our very first track in partnership with the team at Google AI . This track will guide you through Google AI Studio's new "Build apps with Gemini" feature, where you can turn a simple text prompt into a fully functional, deployed web application in minutes. A New Way to Learn This inaugural track perfectly exemplifies our goal for DEV Education Tracks: to close the gap between discovering a new technology and building with it confidently. By partnering directly with the Google AI team, we're able to bring you an authoritative, hands-on guide to one of the most exciting new tools in AI development. How to Complete This Track This DEV Education Track is a three-part experience: 1) an expert tutorial followed by 2) a hands-on build and 3) a writing assignment . Work through all three parts and you'll earn the exclusive Google AI Studio Builder badge ! Track Details Skill Level Beginner Earn This Badge Build Apps with Google AI Studio Badge Complete the track to earn this badge Learn More Get additional details and ask questions about the Build Apps with Google AI Studio learning track. View Announcement Learning Partner: Google AI Google AI is at the forefront of artificial intelligence research and development, creating tools and technologies that democratize AI for developers worldwide. Through Google AI Studio, they're making it easier than ever to build intelligent applications. Explore Google AI Studio Learning Curriculum Follow this structured learning path to master the skills 1 📖 Part 1: Follow the Expert Tutorial Start with the comprehensive guide created by the Google AI team to learn how to use Google AI Studio from idea to deployment. Learning Objectives Understand Google AI Studio's app building capabilities Learn how to craft effective prompts for app generation Navigate the deployment process Explore the generated code and understand the structure Getting Started Begin by reading through the expert tutorial created by the Google AI team. This comprehensive guide will walk you through every step of the process, from initial setup to final deployment. Read the Tutorial Module Details Duration 30-45 minutes Difficulty Beginner Prerequisites None - just curiosity about AI development 2 🤖 Part 2: Build Your Own App Put your new skills to the test by building an app that incorporates image generation with the Imagen API. Learning Objectives Apply learned concepts to create your own application Experiment with different prompt strategies Integrate image generation capabilities Deploy a working web application Getting Started After working through the tutorial, your assignment is to use the build feature in Google AI Studio to build an app that incorporates image generation with the Imagen API. We encourage you to come up with your own apps, but here are some ideas if you need inspiration: App Ideas for Inspiration: RPG character portrait generator Fridge-photo based recipe generator On-demand coloring book generator Logo generator for business ideas Share Your Project Module Details Duration 1-3 hours Difficulty Beginner to Intermediate 3 ✏️ Part 3: Earn Community Recognition Share your creation with the DEV community and earn your exclusive Google AI Studio Builder badge. Learning Objectives Document your development process Share learnings with the community Reflect on the experience and key takeaways Contribute to the collective knowledge base Getting Started Use our official submission template to share your assignment and earn your badge! Your submission should include: The prompt you used to generate the app A link to your deployed application Screenshots or demo of your app in action Brief description of your experience and what you learned Our team reviews submissions on a rolling basis with badges awarded every few days. There's no deadline! Share Your Project Module Details Duration 30 minutes Difficulty Beginner Frequently Asked Questions Get answers to common questions about the Build Apps with Google AI Studio track Quick Navigation Frequently Asked Questions Do I need coding experience? What kind of apps can I build? How long does it take to complete the track? Is the track really free? What if I get stuck? Can I modify the generated app? Frequently Asked Questions Do I need coding experience? No! Google AI Studio is designed to be accessible to everyone, regardless of coding background. The AI generates the code for you based on your prompts. What kind of apps can I build? You can build a wide variety of web applications, especially those that benefit from AI capabilities like image generation, text processing, and data analysis. How long does it take to complete the track? Most learners complete the track in 2-4 hours, but you can work at your own pace. There's no deadline! Is the track really free? Yes! The track is completely free. You'll only need a Google account to access Google AI Studio. What if I get stuck? Join our community discussions using the #learngoogleaistudio tag, where you can ask questions and get help from other learners and the Google AI team. Can I modify the generated app? Absolutely! The generated code is yours to customize and extend. Many learners start with the AI-generated base and then add their own features. Dismiss 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/savagepixie/destructuring-assignment-in-javascript-30a7 | Destructuring Assignment in JavaScript - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse SavagePixie Posted on Jul 25, 2019 Destructuring Assignment in JavaScript # beginners # javascript # webdev Learning JavaScript (8 Part Series) 1 My New Friends filter() and map() 2 Destructuring Assignment in JavaScript ... 4 more parts... 3 Butchering Arrays (or not) with splice() and slice() 4 Lookaheads in Javascript 5 Wielding replace with all its power 6 Understanding reduce in JavaScript 7 An introduction to promises in JavaScript 8 Cool Object methods in JavaScript One of the things that give me headache about JavaScript ES6 is the amount of expressions that use symbols such as =, => and {} without any keyword to explain them. I imagine that with time it will make things simpler, but for now I'm simply having a hard time getting used to it. So today I am going to talk about one of these expressions: destructuring assignment syntax. What Is Destructuring Assignment? It is a way to take the individual values from arrays or properties from objects and turn them into variables standing on their own (i.e. distinct ). Destructuring assignment has slightly different syntax for arrays and objects, so let's look at each of them separately. Array Destructuring Let's assume that we've got an array with three vegetables in it. But instead of an array, we want to have three separate variables each with one vegetable. //This is what we've got const arr = [ " pepper " , " carrot " , " onion " ]; //This is what we want const veggieA = " pepper " ; const veggieB = " carrot " ; const veggieC = " onion " ; Destructuring assignment allows us to do exactly that. This is the syntax to do it: const [ var1 , var2 , varN ] = array ; Note that we can also use let or var instead of const to declare the new variables. Now let's apply it to our example: const arr = [ " pepper " , " carrot " , " onion " ]; const [ veggieA , veggieB , veggieC ] = arr ; console . log ( veggieA ); //"pepper" console . log ( veggieB ); //"carrot" console . log ( veggieC ); //"onion" Object Destructuring Similarly, if we've got an object with several properties that we want to turn into distinct variables, with ES5 we would have done something like this: var book = { title : " The Hobbit " , author : " JRR Tolkien " , year : 1937 }; var title = book . title ; var author = book . author ; var year = book . year ; With destructuring syntax, we can achieve the same with the following statement: const book = { title : " The Hobbit " , author : " JRR Tolkien " , year : 1937 }; const { title , author , year } = book ; We could even assign new variable names if we wanted: const book = { title : " The Hobbit " , author : " JRR Tolkien " , year : 1937 }; const { title : bookTitle , author : bookAuthor , year : bookYear } = book ; So the main differences between destructuring arrays and destructuring objects are: We use brackets ( [] ) for arrays and curly braces ( {} ) for objects. We can reassign variable names to object properties (with arrays we're always giving them a new name anyway). Bonus We can also use destructuring syntax to assign values to multiple variables at once: let a , b ; [ a , b ] = [ " carrot " , " onion " ]; We can even use it to swap the values of two variables: let a = 1 ; let b = 5 ; [ a , b ] = [ b , a ]; console . log ( a ); //5 console . log ( b ); //1 Conclusion Destructuring assignment syntax is an easy way to turn arrays or object properties into distinct variables. It also allows us to assign values to multiple variables at once or swap the values of two variables. Learning JavaScript (8 Part Series) 1 My New Friends filter() and map() 2 Destructuring Assignment in JavaScript ... 4 more parts... 3 Butchering Arrays (or not) with splice() and slice() 4 Lookaheads in Javascript 5 Wielding replace with all its power 6 Understanding reduce in JavaScript 7 An introduction to promises in JavaScript 8 Cool Object methods in JavaScript Top comments (2) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Avalander Avalander Avalander Follow "Biography is irrelevant" - Seven of nine (probably) if she was asked that question. Joined Mar 12, 2018 • Jul 25 '19 • Edited on Jul 25 • Edited Dropdown menu Copy link Hide You can also use the spread operator to partially destructure an array or object. For example, if you want to remove the first item of an array: const [ head , ... rest ] = [ " pepper " , " carrot " , " onion " ] rest // [ "carrot", "onion" ] Same with objects: const book = { title : " The Hobbit " , author : " JRR Tolkien " , year : 1937 } const { title , ... bookWithoutTitle } bookWithoutTitle // { author: "JRR Tolkien", year: 1937 } Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand David MM👨🏻💻 David MM👨🏻💻 David MM👨🏻💻 Follow Software developer (Django/Vue.js). Sometimes learning, sometimes teaching what I learn at https://letslearnabout.net/ Email davidmm1707@gmail.com Location València Joined Sep 5, 2019 • Sep 6 '19 Dropdown menu Copy link Hide Great post. I have used destructuring with arrays but I didn't know that was possible too with objects. Like comment: Like comment: 2 likes Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse SavagePixie Follow Always learning new things. I love web development and coding in general. Joined Jul 23, 2019 More from SavagePixie Best practices to authenticate with Passport.js # javascript # node # help # discuss Mutability and reassignability in JavaScript # beginners # javascript # tips Asteroid App: Project Submission # twiliohackathon # javascript # node 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://vimeo.com/237704382 | Nikita Popov - Static Optimization of PHP Bytecode - phpDay 2017 Verify to continue To continue, please confirm that you're a human (and not a spambot). Checking if the site connection is secure vimeo.com needs to review the security of your connection before proceeding. | 2026-01-13T08:49:41 |
https://vibe.forem.com/jgoutin/use-aws-bedrock-ai-services-claude-nova-polly-transcribe-with-your-existing-openai-code-1ci6 | Use AWS Bedrock & AI Services (Claude, Nova, Polly, Transcribe) with Your Existing OpenAI Code - Vibe Coding Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Vibe Coding Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse J.Goutin Posted on Dec 19, 2025 • Originally published at dev.to Use AWS Bedrock & AI Services (Claude, Nova, Polly, Transcribe) with Your Existing OpenAI Code # ai # devops # aws # openai TL;DR Use your existing OpenAI-compatible tools (OpenWebUI, n8n, Cline, Cursor) with AWS Bedrock's 80+ models and AWS AI services (Polly, Transcribe). Just change the endpoint - no code changes needed. Deploy to your AWS account in 15 minutes with Terraform. Data stays in your AWS environment for HIPAA/GDPR compliance. The Solution in 30 Seconds from openai import OpenAI # Just change this line ↓ client = OpenAI ( base_url = " https://your-aws-api/v1 " , api_key = " your-key " ) # Everything else stays the same ↓ response = client . chat . completions . create ( model = " anthropic.claude-sonnet-4-5-20250929-v1:0 " , # Claude 4.5 on Bedrock messages = [{ " role " : " user " , " content " : " Hello from AWS! " }] ) Enter fullscreen mode Exit fullscreen mode What this enables: Use OpenWebUI, n8n, Cline, Cursor with AWS Bedrock and AWS AI services Access Claude 4.5, Nova, Qwen, DeepSeek, Mistral, Cohere, and 75+ more models Text-to-speech (Polly), speech-to-text (Transcribe), image generation, embeddings Keep all data in your AWS account (HIPAA, GDPR, FedRAMP ready) Multi-region model access from a single endpoint The Problem We Solved Most modern AI tools are built for OpenAI's API, but AWS Bedrock uses a completely different SDK. This forces you to choose between using familiar tools or switching to AWS for compliance/cost reasons and rewriting everything. We ran into this while working with a customer who needed: Compliance : All data in their AWS account (GDPR requirements) Choice : Multiple models (Claude, Nova, Qwen, Mistral, DeepSeek, Stability AI, Cohere) Multi-region access : Different Bedrock models available in different AWS regions Standard tooling : OpenWebUI, n8n, IDE coding agents (Cline, Cursor) Full AWS AI stack : Bedrock models plus Polly (TTS) and Transcribe (STT) Our Approach: An OpenAI-Compatible Translation Layer stdapi.ai is an API gateway that sits in your AWS account and translates OpenAI API calls to AWS services. Key Features OpenAI API Compatibility Your existing code works without modifications: from openai import OpenAI client = OpenAI ( base_url = " https://your-deployment.example.com/v1 " , api_key = " your-api-key " ) # Chat completions response = client . chat . completions . create ( model = " amazon.nova-pro-v1:0 " , messages = [{ " role " : " user " , " content " : " Explain AWS Lambda " }] ) # Text-to-speech with Polly response = client . audio . speech . create ( model = " amazon.polly-neural " , input = " Welcome to the future of voice technology! " ) # Speech-to-text with Transcribe with open ( " meeting-recording.mp3 " , " rb " ) as audio_file : transcription = client . audio . transcriptions . create ( model = " amazon.transcribe " , file = audio_file , response_format = " json " ) # Image generation with Bedrock response = client . images . generate ( model = " stability.stable-image-ultra-v1:0 " , prompt = " A serene mountain landscape at sunset " ) # Embeddings with Bedrock response = client . embeddings . create ( model = " cohere.embed-v4 " , input = " Semantic search transforms how we find information " ) Enter fullscreen mode Exit fullscreen mode Multi-Region Access Access models across multiple AWS Bedrock regions from a single endpoint. Different models are available in different regions. You can configure which regions to include based on your requirements. AWS Bedrock inference profiles handle automatic routing when needed. Multi-Modal Capabilities Process text, images, videos, and documents together in a single request. Supports HTTP URLs, S3 URLs (for direct access to your data), and base64 data URIs. Perfect for vision tasks, document analysis, and RAG applications. Deployment Deploy to your AWS account in 5-15 minutes using Terraform. Sample configurations set up: Application Load Balancer with ECS/Fargate IAM roles with least-privilege access CloudWatch logging S3 storage Optional: Custom domain with ACM certificate Get started: Sample Terraform configurations Use Cases Chat interfaces : OpenWebUI or LibreChat for private ChatGPT alternatives Workflow automation : n8n connecting AI to 400+ services Developer tools : IDE coding agents (Cline, Cursor, Continue) Knowledge management : AI-powered note-taking and semantic search Internal AI tools : Custom chatbots for Slack, Discord, Teams Technical Details How It Works: Converts OpenAI API format to Bedrock's format Maps model IDs to appropriate AWS services and regions Provides unified access to models across configured AWS regions Converts Bedrock responses back to OpenAI format Supports streaming via Server-Sent Events (SSE) Security: All traffic stays within your AWS account IAM role-based access control Optional API key authentication VPC deployment supported Integrates with AWS Bedrock guardrails Performance: Low latency translation layer Streaming response support Scales with ECS/Fargate auto-scaling Open Source & Commercial Options stdapi.ai is available as open source (AGPL-3.0) for experimentation and internal use. For production deployments, we recommend the AWS Marketplace version , which includes: Hardened container images Regular security updates Production support 14-day free trial The commercial license also removes AGPL obligations for proprietary applications. Get Started 🏢 Recommended: AWS Marketplace (14-day free trial, production-ready) 🚀 Open source: GitHub (AGPL-3.0 for experimentation) 📦 Sample deployments: Terraform configurations 📚 Documentation: Full guides and API reference Conclusion This translation layer approach solves the AWS Bedrock compatibility gap while keeping everything AWS-native. Key benefits: Zero code changes : Your OpenAI SDK code works as-is AWS-native : Fully integrated with Bedrock, Polly, Transcribe Multi-region : Access models across AWS regions from one endpoint Production-ready : Terraform deployment, CloudWatch integration We'd love to hear your feedback! Have you solved this problem differently? What challenges have you faced integrating Bedrock into your workflow? What's Next We're planning detailed tutorials on: Deploying OpenWebUI on AWS : Private ChatGPT alternative with Bedrock Building n8n workflows : AWS AI services in automation pipelines IDE coding agents setup : Configuring Cline and Cursor with Bedrock RAG applications : Document search with Bedrock embeddings Want a specific tutorial? Drop a comment or open an issue on GitHub! Top comments (1) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Muhammad Uzair Muhammad Uzair Muhammad Uzair Follow Joined Jan 9, 2026 • Jan 9 Dropdown menu Copy link Hide Aws? Like comment: Like comment: 1 like Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse J.Goutin Follow Solutions architect. Freelance expert in Python, cloud, and DevOps Location France Work Freelance Joined Dec 19, 2025 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:41 |
https://dev.to/t/reviews/page/3 | Reviews Page 3 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close # reviews Follow Hide Critiques, ratings, and reviews of titles Create Post Older #reviews posts 1 2 3 4 5 6 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://golf.forem.com/t/introduction | Introduction - Golf Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Golf Forem Close # introduction Follow Hide Create Post Older #introduction posts 1 2 3 4 5 6 7 8 9 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Golf.com: The Future Of LIV Duels: Grant Horvat And Bryan Bros Talk Exciting Developments YouTube Golf YouTube Golf YouTube Golf Follow Aug 25 '25 Golf.com: The Future Of LIV Duels: Grant Horvat And Bryan Bros Talk Exciting Developments # golf # recommendations # introduction # lessons Comments Add Comment 1 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Golf Forem — A community of golfers and golfing enthusiasts Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Golf Forem © 2016 - 2026. Where hackers, sticks, weekend warriors, pros, architects and wannabes come together Log in Create account | 2026-01-13T08:49:41 |
https://opensource.org/license/bsd-2-clause | The 2-Clause BSD License – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Popular / Strong Community The 2-Clause BSD License SPDX short identifier: BSD-2-Clause Note: This license has also been called the “Simplified BSD License” and the “FreeBSD License”. See also the 3-clause BSD License . Copyright <YEAR> <COPYRIGHT HOLDER> Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. The Open Source Initiative (OSI) is a 501(c)3 public benefit corporation, founded in 1998. --> Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:41 |
https://dev.to/simprl/a-comprehensive-comparison-of-svg-icon-management-options-in-react-js-projects-glc | A Comparison of SVG Icon Management in React JS Projects - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Anatolii S. Posted on Aug 4, 2024 • Edited on Aug 5, 2024 A Comparison of SVG Icon Management in React JS Projects # webdev # react # sprite # javascript In this article, I'll share the results of an experiment comparing four different methods for working with SVG icons in React projects. The goal was to determine which approach offers the best balance of output file size, build time, and development convenience. Setup and Methodology To conduct this comparison, I created four empty projects using Vite and installed the necessary modules for each method. For the icons, I utilized Material UI icons, which are ideal for projects without a need for custom designs, such as admin panels. When custom designs are required, designers usually create unique icon sets. The four methods I explored are: Pre-built Icon Libraries: Importing icons from the Material UI npm package. SVG as a Component: Using SVG files directly as components. SVG Sprite: Compiling icons into a single SVG sprite. SVG Paths: Storing the path data of SVG icons as constants. Exclusion of Icon Fonts Before diving into the comparison, it's important to note that using icons as fonts was not considered in this analysis. While this method was popular in the past, it has become outdated due to various limitations, such as lack of scalability and accessibility issues. Modern projects generally avoid this approach in favor of more flexible and accessible options. Method 1: Using Pre-built Icon Libraries via npm For the first method, I imported all the icons from the Material UI npm library and displayed them on the page in a loop. Each icon in the library is exported as a set of JavaScript files. This method is straightforward but doesn't allow for customization. Method 2: SVG as a Component In this approach, I used the SVGR plugin to import SVG files as React components. This method is useful when you have custom icons and need to use them as components within your application. However, it resulted in a longer build time due to the need to process a large number of icons. Method 3: SVG Sprite SVG sprites are an older but still relevant technique. I generated a sprite file containing all the icons and a JavaScript file with constants for referencing each icon. This method offers quick build times but requires an initial setup script for sprite generation. Method 4: SVG Paths The fourth method involves storing only the d attribute of the tag for each icon as a constant. This innovative approach reduces the file size significantly by omitting other SVG elements. However, handling transparency can be tricky, as semi-transparent elements are merged with the main path. Comparison and Results Bundle Size Material UI npm Library: The main part of the bundle consists of minified code, leading to a relatively small size. SVG as a Component: Slightly larger due to less effective minification. SVG Sprite: Similar size to SVG components, with additional mapping to sprite IDs. SVG Paths: The smallest bundle size, as only path data is stored. Build Time Material UI npm Library: Built in 20 seconds for 10,000 icons. SVG as a Component: Slowest, taking a minute and a half for 14,000 icons. SVG Sprite: Fast, with 14,000 icons built in 13 seconds. SVG Paths: Fastest, with a significant reduction in build time compared to the other methods (14,000 in 6 seconds). Development Convenience Material UI npm Library: Least convenient, as icons are only identified by names. SVG as a Component: Highly convenient, with the development environment displaying the SVG content. SVG Sprite: Convenient, as a set of constants with JS documentation and icon images is generated. SVG Paths: Potentially convenient with proper documentation generation, which could be automated with a script. Conclusion Each method has its pros and cons: Material UI npm Library: Ideal for projects where the provided set of icons is sufficient, with minimal impact on build time. SVG as a Component: Standard and convenient for React projects, albeit slower in build time. SVG Sprite: Fast in build time but requires setup for sprite generation. SVG Paths: Promising for its small bundle size and fast build time, with potential for further optimization. For simplicity and standard usage, the SVGR plugin is recommended. However, if bundle size and build time are critical, the SVG Paths method is worth exploring further. Thank you for reading! Let me know in the comments what you think of these methods and if there are other comparisons you'd like to see. If this post receives enough interest, I'll consider publishing the script used for generating SVG Paths. Top comments (1) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Anatolii S. Anatolii S. Anatolii S. Follow Senior Web Architect Joined Aug 4, 2021 • Mar 3 '25 Dropdown menu Copy link Hide CLI tool for SVG Paths is ready. More info in my article Store Only the "d" Attribute Vite plugin will be available soon! Like comment: Like comment: 1 like Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Anatolii S. Follow Senior Web Architect Joined Aug 4, 2021 More from Anatolii S. Material‑UI Icons Built with SVGD Tooling # javascript # react # mui New Rule for Developers: "4096 Tokens" 😊 # ai # webdev # development # cleancode Clean Architecture: The Unattainable Ideal – A Parable for Developers # cleancode # javascript # development # architecture 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://www.coderabbit.ai/blog/how-linux-foundation-used-ai-code-reviews-to-reduce-manual-bottlenecks-in-oss | From Manual Reviews to AI-Powered Insights: The Linux Foundation's Features Enterprise Customers Pricing Blog Resources Docs Trust Center Contact Us FAQ Log In Get a free trial Products Pull Request Reviews IDE Reviews CLI Reviews Navigation About Us Features FAQ System Status Careers DPA Startup Program Vulnerability Disclosure Resources Blog Docs Changelog Case Studies Trust Center Brand Guidelines Contact Support Sales Pricing Partnerships Subscribe By signing up you agree to our Terms of Use and Privacy Policy Select language English 日本語 Terms of Service Privacy Policy CodeRabbit Inc © 2026 Products Pull Request Reviews IDE Reviews CLI Reviews Navigation About Us Features FAQ System Status Careers DPA Startup Program Vulnerability Disclosure Resources Blog Docs Changelog Case Studies Trust Center Brand Guidelines Contact Support Sales Pricing Partnerships Subscribe By signing up you agree to our Terms of Use and Privacy Policy From Manual Reviews to AI-Powered Insights: The Linux Foundation's Code Review Transformation by Manpreet Kaur English Case Study January 29, 2025 4 min read Share Cut code review time & bugs by 50% Most installed AI app on GitHub and GitLab Free 14-day trial Get Started Catch the latest, right in your inbox. Subscribe Add us your feed. Catch the latest, right in your inbox. Subscribe Add us your feed. Keep reading Why users shouldn’t choose their own LLM models: Choice is not always good Giving users a dropdown of LLMs to choose from often seems like the right product choice. After all, users might have a favorite model or they might want to try the latest release the moment it drops. One problem: unless they’re an ML engineer runnin... Get Started in 2 clicks. No credit card needed Your browser does not support the video. Install in VS Code Your browser does not support the video. An (actually useful) framework for evaluating AI code review tools Benchmarks have always promised objectivity. Reduce a complex system to a score, compare competitors on equal footing, and let the numbers speak for themselves. But, in practice, benchmarks rarely measure “quality” in the abstract. They measure whate... CodeRabbit's AI Code Reviews now support NVIDIA Nemotron TL;DR: Blend of frontier & open models is more cost efficient and reviews faster. NVIDIA Nemotron is supported for CodeRabbit self-hosted customers. We are delighted to share that CodeRabbit now supports the NVIDIA Nemotron family of open models amon... | 2026-01-13T08:49:41 |
https://dev.to/t/react/page/4#main-content | React Page 4 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close React Follow Hide Official tag for Facebook's React JavaScript library for building user interfaces Create Post submission guidelines 1️⃣ Post Facebook's React ⚛ related posts/questions/discussion topics here~ 2️⃣ There are no silly posts or questions as we all learn from each other👩🎓👨🎓 3️⃣ Adhere to dev.to 👩💻👨💻 Code of Conduct about #react React is a declarative, component-based library, you can learn once, and write anywhere Editor Guide Check out this Editor Guide or this post to learn how to add code syntax highlights, embed CodeSandbox/Codepen, etc Official Documentations & Source Docs Tutorial Community Blog Source code on GitHub Improving Your Chances for a Reply by putting a minimal example to either JSFiddle , Code Sandbox , or StackBlitz . Describe what you want it to do, and things you've tried. Don't just post big blocks of code! Where else to ask questions StackOverflow tagged with [reactjs] Beginner's Thread / Easy Questions (Jan 2020) on r/reactjs subreddit. Note: a new "Beginner's Thread" created as sticky post on the first day of each month Learn in Public Don't afraid to post an article or being wrong. Learn in public . Older #react posts 1 2 3 4 5 6 7 8 9 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Hey, Curious Coders! Let's Unlock React's Magic by Mastering Web Fundamentals First Vasu Ghanta Vasu Ghanta Vasu Ghanta Follow Jan 8 Hey, Curious Coders! Let's Unlock React's Magic by Mastering Web Fundamentals First # webdev # react # javascript # programming Comments Add Comment 6 min read Health Data Visualization: Building High-Performance Charts for Millions of Points wellallyTech wellallyTech wellallyTech Follow Jan 8 Health Data Visualization: Building High-Performance Charts for Millions of Points # react # performance # dataviz # frontend Comments Add Comment 2 min read 🚀 New React Challenge: Tetris Duffman Duffman Duffman Follow Jan 8 🚀 New React Challenge: Tetris # react # javascript # frontend # frontendchallenge 2 reactions Comments Add Comment 1 min read Implementation Mistakes by Devs: How you should not use useEffect Bishoy Semsem Bishoy Semsem Bishoy Semsem Follow Jan 8 Implementation Mistakes by Devs: How you should not use useEffect # react # webdev 1 reaction Comments Add Comment 6 min read Provider-Agnostic Chat in React: WebLLM Local Mode + Remote Fallback Kaemon Lovendahl Kaemon Lovendahl Kaemon Lovendahl Follow Jan 7 Provider-Agnostic Chat in React: WebLLM Local Mode + Remote Fallback # webdev # react # webllm # frontend Comments Add Comment 9 min read bitcoin-wallet-connector: One API to Connect All Bitcoin Wallets c4605 c4605 c4605 Follow Jan 6 bitcoin-wallet-connector: One API to Connect All Bitcoin Wallets # bitcoin # wallet # web3 # react Comments Add Comment 4 min read Building a Centralized Keyboard Shortcut System in React: A Priority-Based Approach Hasnaat Iftikhar Hasnaat Iftikhar Hasnaat Iftikhar Follow Jan 6 Building a Centralized Keyboard Shortcut System in React: A Priority-Based Approach # react # typescript # webdev # tutorial Comments Add Comment 17 min read Implementation Mistakes by Devs: How you should not use useEffect Shibly Noman Shibly Noman Shibly Noman Follow Jan 8 Implementation Mistakes by Devs: How you should not use useEffect # javascript # react # programming # reactjsdevelopment Comments Add Comment 6 min read API First in Practice: How We Made Frontend Types Predictable and Stable Dmitrii Verbetchii Dmitrii Verbetchii Dmitrii Verbetchii Follow Jan 11 API First in Practice: How We Made Frontend Types Predictable and Stable # typescript # react # frontend # openapi 7 reactions Comments 2 comments 4 min read Test Your Tests: Does Your Crisis Simulation Match Reality? CrisisCore-Systems CrisisCore-Systems CrisisCore-Systems Follow Jan 7 Test Your Tests: Does Your Crisis Simulation Match Reality? # testing # a11y # healthcare # react Comments Add Comment 10 min read I am building a self-hosted dnd email builder and campaign management platform Ihor Filippov Ihor Filippov Ihor Filippov Follow Jan 8 I am building a self-hosted dnd email builder and campaign management platform # opensource # marketing # react # nextjs Comments Add Comment 1 min read How to Add a Contact Form to Your Next.js Site in 5 Minutes H Master (MasterH) H Master (MasterH) H Master (MasterH) Follow Jan 8 How to Add a Contact Form to Your Next.js Site in 5 Minutes # nextjs # react # webdev # tutorial Comments Add Comment 3 min read The tech stack behind InkRows Filip Frincu Filip Frincu Filip Frincu Follow Jan 6 The tech stack behind InkRows # react # javascript # productivity # development Comments Add Comment 4 min read 🚀 Just Launched My Smart TV / OTT Portfolio 📺 Bruno Aggierni 🇺🇾 Bruno Aggierni 🇺🇾 Bruno Aggierni 🇺🇾 Follow Jan 11 🚀 Just Launched My Smart TV / OTT Portfolio 📺 # showdev # javascript # portfolio # react 1 reaction Comments 2 comments 1 min read React Summit 2026 GitNation GitNation GitNation Follow Jan 7 React Summit 2026 # react # javascript # webdev Comments Add Comment 2 min read React Application Architecture Insight 105 Insight 105 Insight 105 Follow Jan 6 React Application Architecture # architecture # frontend # javascript # react Comments Add Comment 3 min read Auditing React State & Hooks with Math (shadcn-admin Case Study) Petar Liovic Petar Liovic Petar Liovic Follow Jan 5 Auditing React State & Hooks with Math (shadcn-admin Case Study) # react # javascript # performance # webdev 1 reaction Comments Add Comment 2 min read 🚀 Free Open-Source AI-Powered Chrome Extension for Summarizing Web Content Reactjs Guru Reactjs Guru Reactjs Guru Follow Jan 6 🚀 Free Open-Source AI-Powered Chrome Extension for Summarizing Web Content # ai # opensource # webdev # react Comments Add Comment 1 min read Proxy State in React: What It Is and How It Differs from useState Muhammed Fayaz T S Muhammed Fayaz T S Muhammed Fayaz T S Follow Jan 6 Proxy State in React: What It Is and How It Differs from useState # react # javascript # frontend # statemanagement Comments Add Comment 3 min read Constela - Building UI Without Writing JavaScript: The JSON DSL Alternative Yuuichi Eguchi Yuuichi Eguchi Yuuichi Eguchi Follow Jan 11 Constela - Building UI Without Writing JavaScript: The JSON DSL Alternative # webdev # typescript # react # nextjs Comments Add Comment 5 min read ReactJS Beginners Guide - An Ultimate React Ebook Yogesh Chavan Yogesh Chavan Yogesh Chavan Follow Jan 6 ReactJS Beginners Guide - An Ultimate React Ebook # react # nextjs # webdev 4 reactions Comments Add Comment 2 min read Top universal React and React Native component libraries Nina Rao Nina Rao Nina Rao Follow Jan 7 Top universal React and React Native component libraries # react # reactnative Comments Add Comment 11 min read Runtime 0.3.0: The Unified Serverless Framework for TypeScript Raman Marozau Raman Marozau Raman Marozau Follow Jan 7 Runtime 0.3.0: The Unified Serverless Framework for TypeScript # aws # react # serverless # typescript Comments Add Comment 4 min read 11+ Best Open Source Shadcn Dashboard Templates for 2026 Bishoy Semsem Bishoy Semsem Bishoy Semsem Follow Jan 6 11+ Best Open Source Shadcn Dashboard Templates for 2026 # react # webdev Comments Add Comment 5 min read Comment j’ai créé et préparé pour le Store une application mobile avec React Native Expo et Supabase Mhd Almouchafaou Mhd Almouchafaou Mhd Almouchafaou Follow Jan 5 Comment j’ai créé et préparé pour le Store une application mobile avec React Native Expo et Supabase # webdev # react # android # ux Comments Add Comment 3 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:41 |
https://github.com/nikic/iter | GitHub - nikic/iter: Iteration primitives using generators Skip to content Navigation Menu Toggle navigation Sign in Appearance settings Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Spark Build and deploy intelligent apps GitHub Models Manage and compare prompts MCP Registry New Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI/CD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... Search code, repositories, users, issues, pull requests... --> Search Clear Search syntax tips Provide feedback --> We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly --> Name Query To see all available qualifiers, see our documentation . Cancel Create saved search Sign in Sign up Appearance settings Resetting focus You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} nikic / iter Public Notifications You must be signed in to change notification settings Fork 70 Star 1.1k Iteration primitives using generators License View license 1.1k stars 70 forks Branches Tags Activity Star Notifications You must be signed in to change notification settings Code Issues 9 Pull requests 6 Actions Projects 0 Wiki Security Uh oh! There was an error while loading. Please reload this page . Insights Additional navigation options Code Issues Pull requests Actions Projects Wiki Security Insights nikic/iter master Branches Tags Go to file Code Open more actions menu Folders and files Name Name Last commit message Last commit date Latest commit History 111 Commits .github/ workflows .github/ workflows src src test test .gitignore .gitignore LICENSE LICENSE README.md README.md composer.json composer.json phpunit.xml.dist phpunit.xml.dist psalm.xml psalm.xml View all files Repository files navigation README License Iteration primitives using generators This library implements iteration primitives like map() and filter() using generators. To a large part this serves as a repository for small examples of generator usage, but of course the functions are also practically quite useful. All functions in this library accept arbitrary iterables, i.e. arrays, traversables, iterators and aggregates, which makes it quite different from functions like array_map() (which only accept arrays) and the SPL iterators (which usually only accept iterators, not even aggregates). The operations are of course lazy. Install To install with composer: composer require nikic/iter Functionality A small usage example for the map() and range() functions: <?php use iter \ func ; require ' path/to/vendor/autoload.php ' ; $ nums = iter \range ( 1 , 10 ); $ numsTimesTen = iter \map ( func \operator ( ' * ' , 10 ), $ nums ); // => iter(10, 20, 30, 40, 50, 60, 70, 80, 90, 100) You can find documentation and usage examples for the individual functions in iter.php , here I only list the function signatures as an overview: Iterator map(callable $function, iterable $iterable) Iterator mapWithKeys(callable $function, iterable $iterable) Iterator mapKeys(callable $function, iterable $iterable) Iterator flatMap(callable $function, iterable $iterable) Iterator reindex(callable $function, iterable $iterable) Iterator filter(callable $predicate, iterable $iterable) Iterator enumerate(iterable $iterable) Iterator toPairs(iterable $iterable) Iterator fromPairs(iterable $iterable) Iterator reductions(callable $function, iterable $iterable, mixed $startValue = null) Iterator zip(iterable... $iterables) Iterator zipKeyValue(iterable $keys, iterable $values) Iterator chain(iterable... $iterables) Iterator product(iterable... $iterables) Iterator slice(iterable $iterable, int $start, int $length = INF) Iterator take(int $num, iterable $iterable) Iterator drop(int $num, iterable $iterable) Iterator takeWhile(callable $predicate, iterable $iterable) Iterator dropWhile(callable $predicate, iterable $iterable) Iterator keys(iterable $iterable) Iterator values(iterable $iterable) Iterator flatten(iterable $iterable, int $levels = INF) Iterator flip(iterable $iterable) Iterator chunk(iterable $iterable, int $size, bool $preserveKeys = false) Iterator chunkWithKeys(iterable $iterable, int $size) Iterator tap(callable $function, iterable $iterable) Iterator toIter(iterable $iterable) Iterator range(number $start, number $end, number $step = null) Iterator repeat(mixed $value, int $num = INF) Iterator split(string $separator, string $data) mixed reduce(callable $function, iterable $iterable, mixed $startValue = null) bool any(callable $predicate, iterable $iterable) bool all(callable $predicate, iterable $iterable) mixed search(callable $predicate, iterable $iterable) void apply(callable $function, iterable $iterable) string join(string $separator, iterable $iterable) int count(iterable $iterable) bool isEmpty(iterable $iterable) mixed recurse(callable $function, $iterable) array toArray(iterable $iterable) array toArrayWithKeys(iterable $iterable) bool isIterable($value) As the functionality is implemented using generators the resulting iterators are by default not rewindable. This library implements additional functionality to allow creating rewindable generators. You can find documentation for this in iter.rewindable.php , here is just a small usage example of the two main functions: <?php use iter \ func ; require ' path/to/vendor/autoload.php ' ; /* Create a rewindable map function which can be used multiple times */ $ rewindableMap = iter \makeRewindable ( ' iter \\ map ' ); $ res = $ rewindableMap ( func \operator ( ' * ' , 3 ), [ 1 , 2 , 3 ]); /* Do a rewindable call to map, just once */ $ res = iter \callRewindable ( ' iter \\ map ' , func \operator ( ' * ' , 3 ), [ 1 , 2 , 3 ]); The above functions are only useful for your own iterators though; for the iter iterators, rewindable variants are directly provided with an iter\rewindable prefix: $res = iter\rewindable\map(func\operator('*', 3), [1, 2, 3]); // etc About Iteration primitives using generators Resources Readme License View license Uh oh! There was an error while loading. Please reload this page . Activity Stars 1.1k stars Watchers 34 watching Forks 70 forks Report repository Releases 13 iter 2.4.1 Latest Jun 11, 2024 + 12 releases Packages 0 No packages published Uh oh! There was an error while loading. Please reload this page . Contributors 24 + 10 contributors Languages PHP 100.0% Footer © 2026 GitHub, Inc. Footer navigation Terms Privacy Security Status Community Docs Contact Manage cookies Do not share my personal information You can’t perform that action at this time. | 2026-01-13T08:49:41 |
https://vibe.forem.com/t/tutorial | Tutorial - Vibe Coding Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Vibe Coding Forem Close # tutorial Follow Hide Tutorial is a general purpose tag. We welcome all types of tutorial - code related or not! It's all about learning, and using tutorials to teach others! Create Post submission guidelines Tutorials should teach by example. This can include an interactive component or steps the reader can follow to understand. Older #tutorial posts 1 2 3 4 5 6 7 8 9 … 75 … 2222 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Solved: Understanding PPC Management — What Are the Most Important Factors Today? Darian Vance Darian Vance Darian Vance Follow Dec 28 '25 Solved: Understanding PPC Management — What Are the Most Important Factors Today? # devops # programming # tutorial # cloud Comments Add Comment 8 min read Understanding Cluster Quality: Model Description Dipti Moryani Dipti Moryani Dipti Moryani Follow Dec 21 '25 Understanding Cluster Quality: Model Description # webdev # programming # ai # tutorial Comments Add Comment 5 min read Assumptions for Moderation Analysis Dipti Moryani Dipti Moryani Dipti Moryani Follow Dec 14 '25 Assumptions for Moderation Analysis # webdev # programming # ai # tutorial Comments Add Comment 5 min read 🧠 Customer Churn Analysis with Power BI — Understanding Why Customers Leave Kaira Kelvin. Kaira Kelvin. Kaira Kelvin. Follow Oct 29 '25 🧠 Customer Churn Analysis with Power BI — Understanding Why Customers Leave # data # datascience # tutorial # functional Comments Add Comment 2 min read Fashion Analysis: Understanding Customer Churn in Fashion Industry Kaira Kelvin. Kaira Kelvin. Kaira Kelvin. Follow Oct 28 '25 Fashion Analysis: Understanding Customer Churn in Fashion Industry # python # tutorial # learning # 100daysofcode Comments 2 comments 3 min read loading... trending guides/resources Assumptions for Moderation Analysis Understanding Cluster Quality: Model Description Solved: Understanding PPC Management — What Are the Most Important Factors Today? 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:41 |
https://forem.com/aishwarygathe | Aishwary Gathe - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Aishwary Gathe Junior Cloud Engineer | AWS • Terraform • Docker • Kubernetes | Organizer @JugNagpur | GDG Cloud Nagpur | AWS UG Nagpur Location India Joined Joined on Jul 4, 2023 Email address aishwarygathe@gmail.com Personal website https://aishwarygathe.github.io github website twitter website Education B.Tech More info about @aishwarygathe Badges Two Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least two years. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Currently learning AWS | Docker | Kubernetes | Grafana | ArgoCD Post 13 posts published Comment 0 comments written Tag 0 tags followed Logging Into EC2 Is Easy… Until You Pick the Wrong Way Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Jan 9 Logging Into EC2 Is Easy… Until You Pick the Wrong Way # aws # cloud # security # ec2 1 reaction Comments 1 comment 3 min read Security in AWS: Understanding AWS Security Services and How They Protect Your Cloud, Like a 4th-Grade Kid. Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Dec 29 '25 Security in AWS: Understanding AWS Security Services and How They Protect Your Cloud, Like a 4th-Grade Kid. # aws # security # cloud # awschallenge 2 reactions Comments Add Comment 3 min read AWS Regional NAT Gateway Explained: How One Regional NAT Simplifies Cloud Networking Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Dec 15 '25 AWS Regional NAT Gateway Explained: How One Regional NAT Simplifies Cloud Networking # news # aws # cloud # cloudcomputing Comments Add Comment 2 min read Understanding Different Types of Databases in AWS: When to Use What? Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Dec 9 '25 Understanding Different Types of Databases in AWS: When to Use What? # aws # database # cloud # devops Comments Add Comment 4 min read Production AWS Deployment Simplified for everyone! Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Dec 7 '25 Production AWS Deployment Simplified for everyone! # aws # devops # productivity # blog 1 reaction Comments Add Comment 3 min read S3 Buckets: The Invisible Backbone of Modern Data Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Sep 3 '25 S3 Buckets: The Invisible Backbone of Modern Data # aws # s3bucket # cloud # developer Comments Add Comment 2 min read Building Two-Region Failover Routing on AWS — My Hands-On Learning Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Aug 31 '25 Building Two-Region Failover Routing on AWS — My Hands-On Learning # aws # cloud # devops # cloudcomputing Comments Add Comment 2 min read Nothing Comes for Free — If It’s Free, Your Data Is the Price Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Jul 26 '25 Nothing Comes for Free — If It’s Free, Your Data Is the Price 2 reactions Comments 4 comments 4 min read Mastering Linux File Editors: From First Keystroke to Confident Command-Line Editing Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Jun 26 '25 Mastering Linux File Editors: From First Keystroke to Confident Command-Line Editing # todayilearned # linux # cli # devops Comments Add Comment 4 min read What Does `chmod 777` Really Mean? (And Should You Be Using It?) Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Jun 20 '25 What Does `chmod 777` Really Mean? (And Should You Be Using It?) 1 reaction Comments Add Comment 3 min read VidharbaDAO: A Journey of Growth and Community Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Sep 6 '24 VidharbaDAO: A Journey of Growth and Community # web3 # solana # capx # community 1 reaction Comments Add Comment 3 min read Preparing for Hack This Fall 2024: Your Ultimate Packing Guide. . . . Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Feb 5 '24 Preparing for Hack This Fall 2024: Your Ultimate Packing Guide. . . . # packforhackthisfall # hackthisfall2024 # hackathon # guide 5 reactions Comments 4 comments 3 min read Diving into Hack This Fall: My Adventure in Learning and Community Aishwary Gathe Aishwary Gathe Aishwary Gathe Follow Jan 27 '24 Diving into Hack This Fall: My Adventure in Learning and Community # hackthisfall 7 reactions Comments 2 comments 2 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a blogging-forward open source social network where we learn from one another Log in Create account | 2026-01-13T08:49:41 |
https://mailchimp.com/legal/privacy/ | Global Privacy Statement | Intuit Privacy & Security Your Privacy Privacy Statements Security Center Responsible AI FAQ Contact us Overview Protect Your Privacy Do Not Call Policy For Consumers English Français Français (Canada) Español For Applicants & Employees English Français Español For Contingent Workers English Français Español Our Security Practices Account Security Checklist Online Safety Tips Security Notices Responsible Disclosure GLOBAL PRIVACY STATEMENTS You deserve transparency into our data use Select your preferred language English Français Français (Canada) Español Intuit Global Privacy Statement Last Updated: March 18, 2025 See previous Privacy Statements Expand All Collapse All Scope of this Privacy Statement and our role Intuit responsibly leverages technology to power prosperity around the world. We believe that everyone has a right to privacy. As a financial services and technology company, we’re providing this Global Privacy Statement ( “Privacy Statement” ) to explain how we, Intuit Inc. and the Intuit group companies (collectively “Intuit,” “we,” “us,” or “our” ), collect, use, share, or otherwise process information that we collect through our services. These services include, as applicable, our websites, mobile applications, social media pages, marketing activities, and other activities described in this Privacy Statement, or when other businesses provide us your personal information (collectively, the “Services” ). This Privacy Statement is global, meaning it applies to all Intuit Services. We may provide additional or supplemental privacy statements for certain products or services. This Privacy Statement describes our privacy practices when we process: Personal information for the purposes of preparing a tax return or in connection with the preparation of a tax return (collectively, “ Tax Preparation Information ”) as part of providing TurboTax tax preparation services; Personal information for the purposes of providing the benefits of our websites and the Intuit platform, which includes all of Intuit’s services, sites, experiences and software (including through our mobile applications and desktop applications) other than Tax Preparation Information (the “ Intuit Platform ”); and Personal information as necessary to manage, run, improve, and develop our business and personalize your experience while interacting with the Intuit Platform. Depending on your settings, this may include showing you personalized ads or recommending certain Intuit products based on your interests. Intuit determines the purposes and means of the processing of your personal information as described in this Privacy Statement, and therefore acts as a ‘data controller’ (or equivalent/similar terms under applicable data privacy laws) of such information. We may share your personal information within the Intuit group companies and conduct processing activities as controllers or joint controllers for the purposes set out in this Privacy Statement. In certain circumstances, there may be more than one data controller processing your personal information. For example, your employer or a financial partner may also act as a data controller. In these situations, we act as an independent data controller over our processing activities. This means we determine how your personal information will be processed independently from the other data controllers. The other data controllers have their own obligations under applicable data privacy laws. Intuit is not responsible for other data controllers’ processing activities, and you should contact them directly for questions about how they process your personal information and about how to exercise your privacy rights in relation to such processing. This Privacy Statement does not apply to certain processing activities where we are not the controller. For example, where Intuit processes personal information as a processor or service provider on behalf of our customers, including when we process personal information on behalf of customers of our professional tax software products. When we act as a processor or service provider, the privacy statement of the customer who uses our Services applies, instead of this Privacy Statement, and our processing of such personal information is governed by our agreements with such customers. If you have concerns about personal information that we process on behalf of a customer, or wish to exercise your privacy rights regarding such personal information, please contact the customer directly. This Privacy Statement also does not apply to Intuit Financial Services or Intuit’s processing of education records subject to state or federal laws or children’s data in our education curriculum products. You may find the privacy statement for Intuit Financial Services here , and the privacy statement for Intuit for Education here . If you have any questions about how Intuit processes your personal information, please see How to contact us below. The Intuit platform The Intuit Platform and your personal information When we say “platform,” we mean that when you choose to share data with us, or bring over information from third parties (like a bank or loan provider), Intuit uses that data together, not just within the individual offering(s) you’re using. This means that, for example, we may use your bookkeeping details from QuickBooks, contact and purchase history details from Mailchimp, and/or recommendations from Credit Karma. The personal information we use in this centralized way may relate to you as an end user of our Services or as a customer or vendor of an Intuit customer whose personal information has been included in the Intuit Platform. Business account information Some experiences and services within the Intuit Platform allow you to interact with a business (such as your employer). If you are granted access to a business account (for example, in QuickBooks), the business owner or a designated administrator may control and administer details of your account, for example, by deciding your access rights; making decisions about your personal information (such as details about your payroll); or requiring you to take certain actions (for example, use location tracking to clock in for a shift). If the owner or designated administrator changes your access rights, then you may lose access to the information the business controls. Your use of the Intuit Platform as part of a business account may be subject to the business’s policies, which may differ from this Privacy Statement. We are not responsible for the privacy or security practices of other businesses, and you should consider both the business’s policies and whether you are comfortable giving the business access to your personal information before connecting to their services. Personal information we collect The personal information that we collect or otherwise receive about you depends on the context of your interactions with Intuit, how you configure your account, and the choices you make, including your privacy settings. The way we process your personal information may also depend on the particular Services, functionalities, or experiences you use, your location, and applicable law. Information you provide to us You may provide us with your information as follows: Contact data and account profile data. We collect information when you (or your organization) create an account, activate a subscription, and/or upload information to the Intuit Platform. Personal information may include your name, previous name(s) and/or nicknames, title and honorifics, professional title and company name, education, billing and mailing addresses, phone number and email address, profile photo, billing information (your payment information), purchase history, demographic information, preferences, subscription data, and your username and account credentials. Identity verification information. We collect information to verify your identity, including your name, date of birth, social security number, social insurance number, driver’s license number, passport number, government-issued identification details, and similar information to verify your identity and to help you file your tax return. Communications, feedback and survey data, and related data. We may collect personal information such as your name, email address, telephone number and any other personal information you choose to share when you reach out to us for support, give us feedback, participate in optional surveys, attend our events, participate in product research or training, or otherwise interact or communicate with us. This information may include: call center recordings and call monitoring records, chat and text records, voicemails, photographs, and video images. Marketing data. You may provide us with your contact information and preferences for receiving marketing communications. Social and community content. We receive content you post on our social media pages and our community pages. Business and financial information. We may receive information about your business, your finances, expenses, invoices, financial statements, details of your financial transactions, payroll details, payment details, tax return details, details about your customers, vendors, or employees, income and wage information, and/or investment information. Interactions with experts. The Intuit Platform provides many opportunities for you to connect with live experts, including, for example, accountants or tax preparers. When you interact with these experts, we may receive information about the questions you ask, the details of your accounts, and the guidance provided to you. Interactions with chatbots. We may receive information from you through your use of chatbots, digital assistants, or other interactive bots across the Intuit Platform. Device and contact data. If you grant permission in your device settings, certain features may have access to your device and contacts. Business connection data. We may collect information about you when you interact with the Intuit Platform through our customers. If you are a customer, vendor or prospect of an Intuit customer and interact with the Intuit Platform (for example, to pay an invoice, make a purchase, interact with an email, provide contact details or complete a survey), we will use this information to make recommendations about you to our customers. Our customers may also provide business connection data directly about you to us; this is described below under ‘Other users’. Third-party sources The Intuit Platform is designed to help you connect with other people and businesses. As a result of those connections, others may be able to input personal information about you, including other customers using the Intuit Platform. For example, an Intuit customer may share personal information about you with us in order to use and benefit from the Intuit Platform. You also may be able to input or process personal information about others, for example, if you are an account administrator of one of our products or use Intuit to manage customer lists. If you input information about others into the Platform, you must only do so if you have first provided sufficient notice and received any required permissions, and have an appropriate legal basis if required by applicable law. We may also receive personal information about you from other third parties where you have provided consent or where permitted by applicable law. We protect and process the personal information obtained from those third parties as described in this Privacy Statement, consistent with any additional restrictions imposed by the source of the information. Our third-party sources may vary over time and depend upon how you use the Intuit Platform. For example, we receive information from: Linked third-party services. If you choose to sync a non-Intuit account/service with your Intuit account, we will receive information from that account/service according to your settings with that account/service. This may include details of your bank account information, social media information, purchase history or your business’s sales records through a point of sale application. Supplemental information and identity verification providers. We work with certain third parties to help us verify your identity, the specifics of your business, and/or supplement the personal information you have provided and ensure the accuracy of your personal information. For example, we use third-party providers to validate your contact information (e.g., name, mailing address, email address, phone number) or to provide additional details about your business. These providers may include, for example, your financial institution, telecommunications provider, or email provider. Customer support providers. We receive personal information about you or your interaction with the Intuit Platform from certain third parties for troubleshooting purposes. For example, we may obtain information about your interaction(s) with customer support and information about technical issues you have raised, including call center recordings, call monitoring records, voicemails, photographs and chat records. Credit bureaus and related third parties. Many Intuit features rely on information we receive from credit bureaus and related third parties. For example, in some countries, we may offer free credit reports and credit scores. We request these reports and credit scores on your behalf from credit bureau partners, like TransUnion, Experian and Equifax. These partners may also provide personal information such as employment or income data, social security number, vehicle or driver information, or information about special offers available based on your credit profile so we can make more personalized recommendations for you. Other users. As described above, we may receive personal information about you from other Intuit Platform users, such as your accountant, bookkeeper, tax preparer, spouse, employer, or other business customers using the Intuit Platform (e.g., businesses from which you buy products or services, or with which you otherwise interact). We may also collect such personal information through features like member referral programs. Risk management, cybersecurity & anti-fraud providers. We may receive personal information from third parties that help us assess risks associated with our offerings, including to help combat fraud and illegal activity and to help protect your personal information. Data providers. We may receive information from information services and data licensors that provide demographic and preference information to us. Content providers. We may receive personal information from companies that make user-generated content from their service available to others, such as local business reviews or public social media posts. Joint offering partners. We may offer co-branded services or experiences or engage in joint-marketing activities with others, including through our conferences or live events. Government agencies. We receive information from government agencies, including from various tax agencies, such as your tax filing confirmation from the IRS. Public information. We collect individual and household demographic information and preference information from publicly available sources, such as open government databases, social media platforms, and others. Automatic data collection We, our service providers, and our business partners may automatically log personal information about you, your computer or mobile device, and your interaction over time with the Services, such as: Device information. We may collect information about your device(s) such as IP addresses, log information, error messages, device type, and unique device identifiers. For example, we may collect IP addresses from you as part of our sign in and security features. Usage information. We may collect information about your use of the Intuit Platform, such as the pages you viewed, the services and features you used or interacted with, your browser type, and details about any links or communications with which you interacted. Location information. Certain features in the Intuit Platform may collect your precise location information, device motion information, or both, if you or your organization grant(s) us permission to do so through your device settings (for example, if you use QuickBooks’ time-tracking service, participate in Karma Drive, or use CK Money to locate nearby ATMs). Information stored locally. Some of our web-enabled desktop services and offerings synchronize with the information on your computer. In doing so, we may collect information such as device information, product usage, and error reports. We may also store personal information locally on your device. Communication interaction data. We or our third-party service providers may collect information from email providers, communication providers and social networks, such as your interactions with our email, text or other communications (e.g., whether you open and/or forward emails) – we may do this through use of pixel tags (which are also known as clear GIFs), which may be embedded invisibly in our emails. Online behavioral data . We may automatically collect certain personal information about your use and interactions with our websites, customers’ websites or e-commerce stores, social media websites, and marketing campaigns that we or our customers organize, including device information (such as your IP address and unique device IDs), page view information and search results, links, and if you are a customer contact, whether or not a campaign presented or sent to you using our offerings has been viewed, delivered, opened, clicked on, whether it has bounced or was treated as spam. Cookies and similar technologies Intuit and our service providers may use commonly used tools such as cookies, web beacons, pixels, local shared objects and similar technologies (collectively “cookies”) to collect information about you (“ Cookie Information ”) so we can provide the experiences you request, recognize your visit, track your interactions, and improve your and other customers’ experiences. For example, we may use session-replay technologies, such as those provided by FullStory and Medallia, that employ software code to record users’ interactions with the Services in a manner that allows us to watch video replays of those user sessions. The replays include users’ clicks, mobile app touches, mouse movements, scrolls and keystrokes/key touches during those sessions. These replays help us diagnose usability problems and identify areas for improvement. You can learn more about FullStory at https://www.fullstory.com/legal/privacy-policy and you can opt-out of session recording by FullStory at https://www.fullstory.com/optout/ . You can learn more about Medallia at https://www.medallia.com/privacy-policy/ . You have control over some of the information we collect from Cookies and how we use it. Please see Your Personal Information Rights and Choices section for more information. For full details on how we use cookies and similar technologies please see our Intuit Cookie Policy . For full details on how we use cookies and similar technologies when you use or interact with our Mailchimp offerings, please also see our Mailchimp Cookie Statement. Biometric Information Certain parts of the Intuit Platform make use of biometric personal information (“ Biometric Information “). We will not collect your Biometric Information without first providing notice and obtaining your consent. For more details about how we use Biometric Information, please see our Biometric Notice . How we use personal information We may use your personal information in a number of ways or as otherwise described at the time of collection: Service delivery and operations. We may use your personal information to: Provide you with the Intuit Platform, create your account and manage our relationship with you Run and manage our business, including resolving billing and financial disputes Evaluate your eligibility for marketing offers, products and services Provide features to you, such as your free credit reports and scores Provide a product or service that you have requested through the Intuit Platform Connect you with experts and other users Communicate with you, such as sending you electronic notifications concerning your financial privacy Understand your needs and interests, and personalize your experience with the Services and our communications. Provide you with support and resolve disputes Authenticate your identity Manage event registrations and attendance, including sending related communications to you Register visitors to our offices for security reasons and manage non-disclosure agreements that visitors may be required to sign Research and development. We may use your personal information to: Improve and develop our products and services by analyzing how they are used and interacted with, by training our artificial intelligence models and other machine learning models, as well as by assessing the use of and interactions with our Platform and certain content our customers send or display through the Platform, including by conducting data analytics to develop insights about you, your needs, and your preferences, so we can make more informed predictions, recommendations, and products for our customers. Please note any data obtained through Google Workspace APIs is not used to develop, improve, or train any generalized AI and/or ML models. Any data originating from the Google Workspace API is instead ingested only by Intuit’s and our third-party providers’ artificial intelligence tools to deliver services on the customer’s behalf and to ensure safety, not for model retraining. Combine and anonymize information about your interactions with Intuit to create aggregate, anonymized statistics for use in research (including by contracting with academic institutions) and for marketing, promoting, improving, and developing our platform. Marketing and advertising. We, our service providers and our third-party advertising partners may collect and use your personal information for marketing and advertising purposes to: Market services, products and experiences, including to deliver gifts and promotional materials, product recommendations and other non-transactional communications via email, post, telephone, SMS or push notifications, in accordance with your marketing preferences. Personalize your experience and tailor recommendations, advertising, and offers presented to you, including through the development of insights about you and your needs based on your interactions with the Intuit Platform’s products, services, and offerings. These advertisements may be displayed to you on Intuit’s digital properties, including our websites and mobile apps, media platforms, connected devices, or other third-party platforms and channels. Whistleblower Reporting. When you report any concern of non-compliance, unethical conduct, or other alleged violation of our Code of Conduct and Ethics , personal information you provide will be processed as a part of the investigation of the allegations and retained in accordance with our internal policies until the investigation is complete. While we make every effort to maintain confidentiality, depending on the investigation, disclosing your identity to other individuals may be necessary. Compliance and protection. We may use your personal information to: Protect against misuse or abuse of our Services and ensure compliance with our Terms of Service, including in relation to content our customers send or display through the Platform Comply with legal and regulatory requirements Protect the rights, property, safety or security of the Intuit Platform, our customers, employees or others and prevent fraudulent or illegal activity Exercise our rights in the course of judicial, administrative, or arbitration proceedings Enforce, remedy, or apply our Terms of Service or other agreements With your consent. In some cases, we may specifically ask for your consent to use your personal information, such as when required by law. We may process your personal information for other purposes that are compatible with the above purposes where permitted by applicable law. Artificial Intelligence (AI) and Automated processing When you use or interact with features on the Intuit Platform like chatbots, digital assistants, or other digital conversational experiences powered by artificial intelligence, we may process your personal information using automated and manual (human) methods. For example, when we use automated processing on your personal information to provide a more personalized and enhanced experience in the Intuit Platform, you may see instantly tailored recommendations and insights to manage your cash flow and grow your business. Or when we analyze personal information and transactions we have collected or received about you, we can provide you with personalized advice, predictions, recommendations and experiences, including showing your largest tax deductions, sharing how to get your largest tax refund, and providing personalized recommendations for credit products. Certain laws may provide you with the right to object to the automated processing of your personal information. Please review these rights in the “Region and state-specific terms” section below. How we share your personal information When you interact with our services. We may share your personal information in the following circumstances: For certain product features . We may use third party API services, such as YouTube and Twilio, for certain product features. If you choose to use those features, you acknowledge and agree that you are also bound by the third party’s privacy policy. You may manage your YouTube API data by visiting Google’s security settings page here . You may make choices about your Twilio API data by visiting Twilio’s privacy notice here . When you connect with an Intuit Platform partner. You may be provided with offers, products, and services from third-party companies who integrate with our Intuit Platform. If you choose to interact with a platform partner, apply for their services or offerings, or otherwise link or sync your account to a platform partner’s product or service, you consent and direct us to share your personal information to the platform partner providing the service or offering. For example, when we send your personal information to partners in order to generate offers for you to review, when we send your application information directly to our partners, or when we send you to the partner’s site for you to provide the information directly to them. In some cases, if you click through to go to a platform partner’s site, you will automatically be sending your personal information to that platform partner. When this happens, you will still have to submit your application on the platform partner’s site. Remember that any information you provide to a platform partner, whether through us or on your own, will be subject to their privacy practices and terms and conditions. When you connect to your social media account. Some of our features enable you to connect to a social media account or share information on social media platforms, like Facebook and Twitter. Any information you choose to share on social media may potentially be visible to a global audience and will be subject to the social media provider’s privacy policies (not this Privacy Statement). You should take care only to share information on social media that you are comfortable sharing. For joint features, sales, promotions and events. With your consent we may share your personal information with third parties who are jointly providing features, sales initiatives, promotions or events with us. When you publicly post the information. We may provide opportunities for you to publicly post reviews, questions, comments, suggestions, or other content that may include personal information, such as your name or username. Anything you share in a public forum is public, and you should think carefully before you decide to share. With your wireless carrier. When you use your wireless device in connection with the Intuit Platform, you authorize your wireless carrier to use or disclose information about your account and your wireless device, if available, to Intuit or its service provider for the duration of your business relationship, solely to help them identify you or your wireless device and to prevent fraud. When you participate in the short code program . Personal information collected through the short code program (i.e., when you sign up for SMS texts), will not be shared, sold, or rented to affiliated or unaffiliated third parties for their own marketing purposes. Other circumstances. We also share your personal information with third parties in the following circumstances. For research. With appropriate controls, we may share information with third parties, such as academic institutions, government and non-profit organizations, for research purposes or to publish academic or policy-related materials. We only share information in a way that does not identify any individual. With financial services providers. In connection with our financial products, we may share personal information with collection agencies, credit bureaus and loan services providers, and payment card association members. We may also share your personal information with other companies, lawyers, credit bureaus, agents, government agencies, and card associations in connection with issues related to fraud, credit, defaults, or debt collection. With service providers or agents. We share personal information with our service providers or agents who provide services on our behalf for the purposes described in this Privacy Statement. Service providers or agents are required to implement reasonable privacy and information protection controls to maintain the privacy and security of information provided to them consistent with the privacy practices outlined in this Privacy Statement. Service providers or agents may include companies that assist us with our advertising, marketing, and sales efforts, help us with our technology offerings (such as a hosting, security or anti-fraud providers) and help us run our business. Service providers or agents also include AI providers, including generative AI providers. For mergers and acquisitions. If we are involved with a merger, asset sale, financing, liquidation, bankruptcy, or the acquisition of all or part of our business to another company, we may share your personal information with that company and its advisors before and after the transaction date. With our affiliates and subsidiaries and your right to limit information sharing. We may share your personal information with our affiliates and subsidiaries for everyday business purposes as described in this Statement, including for marketing purposes, for improving and developing our offerings, and for personalizing your experience on our Platform. Certain laws may provide you with the right to limit our information sharing activities in certain circumstances. Please review these rights in the “Region and state-specific terms” section below. For advertising and analytics. Intuit may use advertising networks and other providers to display advertising on our Intuit Platform or on other sites. Intuit may share personal information with advertising networks and other providers to tailor advertising and offers presented to you based on your interactions with the Intuit Platform’s products, services, and offerings. Our advertising partners may place cookies on unaffiliated websites in order to serve advertisements that may be relevant to you based on your browsing activities and interests and determine the effectiveness of such advertisements. See also the “Region and state-specific terms” section below for additional information. Intuit (excluding Credit Karma) responds to the Global Privacy Control signal for US residents, as described further in the United States section below. However, we do not respond to “Do Not Track” signals because there is no formal “Do Not Track” standard. For legal reasons. We may share your personal information with third parties for legal reasons without your consent, and as permitted by law, including: When we reasonably believe disclosure is required in order to comply with a subpoena, court order, or other applicable law, regulation or legal process; To protect the rights, property, or safety of Intuit, TurboTax, the Intuit Platform, our customers or others; To protect or defend against attacks; To enforce, remedy, or apply our Terms of Service or other agreements; To prevent fraud, cybersecurity attacks or illegal activity; For debt collection; and With regulatory agencies, including government tax agencies, as necessary to help detect and combat fraud and/or protect our customers, users and/or the Intuit Platform, or in required institutional risk control programs. Your personal information rights and choices Your choices At Intuit, we believe that you have choices about information that pertains to you or your business. We provide all customers, including those in the EU, UK (and Gibraltar), and Switzerland, with options to manage the privacy of their personal information. Update your privacy settings. You may update your privacy settings by visiting your account settings. Correct your personal information. You can edit and correct certain personal information at any time by changing it directly in our products and services. Access your personal information. You may download a copy of the personal information we have about you by visiting your account, the Intuit Privacy Center , or by calling us toll-free at 1 (877) 261-6470. If your inquiry is specific to Credit Karma, visit the Credit Karma Help Center (for US members), the Credit Karma UK Help Centre (for Credit Karma UK members), or the Credit Karma Canada Help Centre (for Credit Karma Canada members). If your inquiry is specific to Mailchimp, visit the Mailchimp Privacy Rights Request Page . Delete your personal information. You may ask us to delete your personal information by visiting your account settings or the Intuit Privacy Center or calling us toll-free at 1 (877) 261-6470. If your inquiry is specific to Credit Karma, visit the Credit Karma Help Center (for US members), the Credit Karma UK Help Centre (for Credit Karma UK members), or the Credit Karma Canada Help Centre (for Credit Karma Canada members). If your inquiry is specific to Mailchimp, please visit the Mailchimp Privacy Rights Request Page . Cookies and other tracking technologies. You may be able to opt-out of interest based advertising by visiting the NAI Opt-Out Page or the Choices Opt-Out Page (or the Digital Advertising Alliance of Canada Opt-Out Page , if you are based in Canada) or by visiting the Intuit Privacy Center . If you reside in California, Connecticut, Colorado, Montana, Oregon, Texas, Utah or Virginia, please refer to the relevant sections below under Region and state-specific terms for more information about opting out of tracking for targeted advertising purposes,or opting-out of sales and/or sharing. Manage marketing communications from us. To update your marketing communication preferences, you can go to the marketing preference tools in your account settings or you may use the links below. You may also unsubscribe using the link found at the bottom of all marketing and promotional emails. If you receive marketing text messages from us through Intuit’s SMS shortcode program, you may opt out of receiving further marketing text messages from us by replying STOP to the message. For more information, please visit: Intuit communications preferences Credit Karma US and Credit Karma UK communications preferences Mailchimp communications preferences Your Rights Depending on where you live, you may also have certain state- or country-specific rights with respect to your personal information. Please see the Region and state-specific terms section for your country, below. Verification To help protect privacy and the security of your personal information, you may be asked to provide additional information to verify your identity and/or ownership rights before we can fulfill your data rights request. If we cannot verify your identity or your ownership rights to the data, we may not be able to service your request until you provide proper documentation. Data retention Unless you specifically ask us to delete your personal information, we retain your personal information as long as it is necessary to comply with our data retention requirements and provide you with services and the benefits of the Intuit Platform and successfully run our business. Even if you submit a deletion request, we may be required to maintain your personal information for as long as necessary to: comply with our legal or regulatory compliance needs (e.g., maintaining records of transactions you have made with us); to exercise, establish or defend legal claims; and/or to protect against fraudulent or abusive activity on our service. This means we may keep different information for different periods. If your account is canceled because you haven’t used it for a long time, we may delete this information immediately. There may be occasions where we are unable to fully delete, anonymize, or de-identify your personal information due to technical, legal, regulatory compliance, or other operational reasons. Where this is the case, we will take reasonable measures to securely isolate your personal information from any further processing until such time as we are able to delete, anonymize, or de-identify it. International data transfers Unless you have provided us with consent to transfer your personal information, US Tax Preparation Information shall be processed and stored in the United States in accordance with applicable law. With the exception noted above, Intuit reserves the right to store and process your personal information in the United States and in any other country where Intuit or its affiliates, subsidiaries, or service providers operate facilities in accordance with and as permitted by applicable laws and regulations. Some of these countries may have data protection laws that are different from the laws of your country (and, in some cases, may not be as protective). When we transfer, store or process personal information outside of your jurisdiction (including to or in the United States, as described above), we take appropriate safeguards to require that your personal information remain protected in accordance with this Privacy Statement and applicable law. Some of these recipients of your personal information are located in countries for which the European Commission, the UK (and Gibraltar) Government, and the Swiss Government (as and where applicable) have issued adequacy decisions, which means that these countries are recognized as providing an adequate level of data protection under applicable UK (and Gibraltar), European, and Swiss data protection laws and the transfer is therefore permitted under Article 45 of the GDPR. Other recipients of your personal information are located in countries outside the EEA and/or the UK that are not the subject of an adequacy decision. In these cases, we may use the Standard Contractual Clauses approved by the European Commission or, as may be applicable, the International Data Transfer Agreement approved by the UK Government, to help ensure your personal information is protected. For more information on the transfer safeguards we rely on, please contact us by using the details in the “How to contact us” section below. Intuit (excluding Credit Karma) and Mailchimp comply with the EU-U.S. Data Privacy Framework (EU-U.S. DPF), the UK Extension to the EU-U.S. DPF, and the Swiss-U.S. Data Privacy Framework (Swiss-U.S. DPF) regarding the collection, use, and retention of personal information transferred from the European Union (EU), the United Kingdom (and Gibraltar), and Switzerland to the United States. Intuit and Mailchimp rely on the EU-U.S. DPF to transfer data and will rely on the UK Extension to the EU-U.S. DPF and Swiss-U.S. DPF once approved by the appropriate authorities. We are subject to the investigatory and enforcement powers of the Federal Trade Commission. You can find more information about Intuit’s and Mailchimp’s Data Privacy Framework certification here . Security of your personal information We use reasonable physical, technical and organizational safeguards that are designed to protect your personal information. However, despite these controls, we cannot completely ensure or warrant the security of your personal information. You can find out more about how we protect your personal information here . Changes to our Privacy Statements From time to time we may change or update our Privacy Statement. We reserve the right to make changes or updates at any time. If we make material changes to the way we process your personal information, we will notify you by posting a notice in the Intuit Platform or on a community post; by sending you a notification; or by other means consistent with applicable law. You can see when this Privacy Statement was last updated by checking the “last updated” date at the top of this Privacy Statement. Please review this Privacy Statement periodically to stay informed about how Intuit protects your privacy. Children Our services are not intended for or directed to children under the age of 13. We do not knowingly collect personal information from children. If you believe we may have information from a child, please contact us. How to contact us If you have questions or comments about this Privacy Statement or our practices, please contact us. You can submit Intuit privacy questions. Submit your privacy question here You can submit Credit Karma privacy questions. Submit your privacy question here You can submit Mailchimp privacy questions. Submit your privacy question here If you have an unresolved privacy or information use concern or complaint that we have not addressed satisfactorily, please contact our U.S.-based third party dispute resolution provider (free of charge) at https://feedback-form.truste.com/watchdog/request . Region and state-specific terms Additional terms may apply to you based upon the country you reside in or the products you use. Please click the region or state that applies to you to learn more about additional terms and rights that may apply to you. Expand All Collapse All United States If you are a resident of the United States, you may have the following rights and choices: US Tax Preparation Information Except as necessary to provide you with tax preparation services or as authorized by law, we will not use or disclose your Tax Preparation Information – including to Intuit’s affiliates and subsidiaries – unless you consent. If you agree to share your Tax Preparation Information for purposes other than tax preparation services, including by sharing it with the Intuit Platform, your Tax Preparation Information will be handled in accordance with this Privacy Statement. Gramm-Leach-Bliley Act Intuit is a financial institution subject to the Gramm-Leach-Bliley Act (GLBA). By using, accessing, or interacting with the Intuit Platform, you are consenting to receive notices about your financial privacy electronically. Please find our GLBA Notice here . California Residents Scope. This section applies only to California residents. It describes how we collect, use, and share Personal Information of California residents in our capacity as a “business” under the California Consumer Privacy Act (“ CCPA ”) and your rights with respect to that Personal Information. For purposes of this section, the term “ Personal Information ” has the meaning given in the CCPA, but does not include information exempted from the scope of the CCPA. Please note that we may claim legal exemptions for certain types of personal information and certain Intuit companies from all or certain parts of the CCPA, such as information subject to the Gramm-Leach-Bliley Act (GLBA) and other data protection laws. In some cases, we may provide a different privacy notice to certain categories of California residents, such as employees and job applicants, in which case that notice will apply instead of this section. Personal Information that we collect, use, and disclose. The chart here summarizes the Personal Information we collect by reference to the categories of Personal Information specified in the CCPA, and describes our practices currently and during the 12 months preceding the effective date of this Privacy Statement. Information you voluntarily provide to us, such as in free-form webforms, may contain other categories of personal information not described in this chart. Your California privacy rights. As a California resident, you have the rights listed below. However, these rights are not absolute, and in certain cases we may decline your request as permitted by law. Access. You may request that we provide the following information about how we have collected and used your Personal Information during the past 12 months: ○ the categories of Personal Information we have collected about you, ○ the sources from which that information was collected, ○ the business or commercial purpose for collecting, selling, and/or sharing your Personal Information, ○ the categories of personal information we shared or sold about you, ○ the categories of third parties to whom we shared or sold personal information about you, ○ the categories of personal information we disclosed for a business purpose, and ○ the categories of third parties to whom we disclosed personal information about you for a business purpose. Request a copy of your Personal Information. You may request a copy of the Personal Information in your Intuit account or visit our Intuit Privacy Center or call us toll-free at 1 (877) 261-6470. If your inquiry is specific to Credit Karma, visit the Credit Karma Help Center or email us at CCPArequests@creditkarma.com . If your inquiry is specific to Mailchimp, visit the Mailchimp Privacy Rights Request Page . Correction. You can edit and correct your personal information at any time by changing it directly in our products and services. Deletion . You may have the right, under certain circumstances, to request that we delete the personal information you have provided to us. You may delete your personal information in the Privacy section of your Intuit account or visit our Intuit Privacy Center or call us toll-free at 1 (877) 261-6470. If your inquiry is specific to Credit Karma, visit the Credit Karma Help Center or email us at CCPArequests@creditkarma.com . If your inquiry is specific to Mailchimp,visit the Mailchimp Privacy Rights Request Page . Opt-out of Sales and/or Sharing. Like many companies, Intuit and Mailchimp use services that help deliver interest-based ads to you as described above. The California Consumer Privacy Act (“CCPA”) may classify our use of some of these services as “sharing” your Personal Information with the advertising partners that provide the services. You can opt-out of the “sharing” of your personal information by visiting the “Your California Privacy Rights” link in the footer of the Intuit website. In addition, if you have enabled a recognized opt-out mechanism on your browser, device, or platform, you will automatically be opted out of any “sharings” when you interact with our Services. Please go here to learn more about enabling one such preference signal, the Global Privacy Control: https://globalprivacycontrol.org/#download . Intuit and Mailchimp do not sell personal information under the CCPA. Credit Karma does not sell or share personal information subject to the CCPA, and therefore does not offer a “Your California Privacy Rights” link on its website. We do not knowingly sell or share the personal information of individuals under 16 years of age. Limit processing of sensitive personal information. Some of the personal information that we may collect are considered sensitive personal information under the CCPA. We collect sensitive personal information for the purposes allowed by law or with your consent. We only use sensitive personal information as necessary for our (1) Service delivery and operations, (2) compliance and protection, (3) research and development, or (4) Service improvement and analytics purposes in accordance with CCPA. If we use sensitive personal information outside the permitted purposes of the CCPA, we will provide you with the right to limit processing of sensitive personal information. California Shine the Light. Customers who are California residents may request certain information concerning the categories of personal information (if any) we disclose to third parties or affiliates for their direct marketing purposes. If you would like more information, please submit a written request to us using the contact information provided below. Non-discrimination . You have the right to be free from discrimination or retaliation related to your exercise of any of your California privacy rights. Verification. In order to protect your personal information from unauthorized ac | 2026-01-13T08:49:41 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.