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https://docs.github.com/en/copilot/using-github-copilot/using-claude-sonnet-in-github-copilot | Supported AI models in GitHub Copilot - GitHub Docs Skip to main content GitHub Docs Version: Free, Pro, & Team Search or ask Copilot Search or ask Copilot Select language: current language is English Search or ask Copilot Search or ask Copilot Open menu Open Sidebar GitHub Copilot / Reference / AI models / Supported models Home GitHub Copilot Get started Quickstart What is GitHub Copilot? Plans Features Best practices Choose enterprise plan Achieve company goals Concepts Completions Code suggestions Text completion Code referencing Chat Agents Coding agent About coding agent Agent management Custom agents Access management MCP and coding agent Code review Copilot CLI OpenAI Codex Agent Skills Enterprise management Spark Prompting Prompt engineering Response customization Context MCP Spaces Repository indexing Content exclusion Tools AI tools About Copilot integrations Auto model selection Rate limits Billing Copilot requests Individual plans Billing for individuals Organizations and enterprises Copilot-only enterprises Policies MCP management Network settings Copilot usage metrics How-tos Set up Set up for self Set up for organization Set up for enterprise Set up a dedicated enterprise Install Copilot extension Install Copilot CLI Get code suggestions Get IDE code suggestions Write PR descriptions Find matching code Chat with Copilot Get started with Chat Chat in IDE Chat in Windows Terminal Chat in GitHub Chat in Mobile Use Copilot agents Manage agents Coding agent Create a PR Update existing PR Track Copilot sessions Review Copilot PRs Create custom agents Test custom agents Extend coding agent with MCP Integrate coding agent with Slack Integrate coding agent with Teams Integrate coding agent with Linear Changing the AI model Customize the agent environment Customize the agent firewall Troubleshoot coding agent Request a code review Use code review Configure automatic review Manage tools Use Copilot CLI Use AI models Configure access to AI models Change the chat model Change the completion model Provide context Use Copilot Spaces Create Copilot Spaces Use Copilot Spaces Collaborate with others Use MCP Extend Copilot Chat with MCP Set up the GitHub MCP Server Enterprise configuration Configure toolsets Use the GitHub MCP Server Change MCP registry Configure custom instructions Add personal instructions Add repository instructions Add organization instructions Configure content exclusion Exclude content from Copilot Review changes Use Copilot for common tasks Use Copilot to create or update issues Create a PR summary Use Copilot in the CLI Configure personal settings Configure network settings Configure in IDE Authenticate to GHE.com Manage and track spending Monitor premium requests Manage request allowances Manage company spending Manage your account Get started with a Copilot plan Get free access to Copilot Pro View and change your Copilot plan Disable Copilot Free Manage policies Administer Copilot Manage for organization Manage plan Subscribe Cancel Manage access Grant access Manage requests for access Revoke access Manage network access Manage policies Add Copilot coding agent Prepare for custom agents Review activity Review user activity data Review audit logs Use your own API keys Manage for enterprise Manage plan Subscribe Cancel plan Upgrade plan Downgrade subscription Manage access Grant access Disable for organizations View license usage Manage network access Manage enterprise policies Manage agents Prepare for custom agents Monitor agentic activity Manage Copilot coding agent Manage Copilot code review Manage Spark View usage and adoption View code generation Use your own API keys Manage MCP usage Configure MCP registry Configure MCP server access Download activity report Troubleshoot Copilot Troubleshoot common issues View logs Troubleshoot firewall settings Troubleshoot network errors Troubleshoot Spark Reference Cheat sheet AI models Supported models Model comparison Model hosting Keyboard shortcuts Custom agents configuration Custom instructions support Policy conflicts Copilot allowlist reference MCP allowlist enforcement Metrics data Copilot billing Billing cycle Seat assignment License changes Azure billing Agentic audit log events Review excluded files Copilot usage metrics Copilot usage metrics data Interpret usage metrics Reconciling Copilot usage metrics Copilot LoC metrics Tutorials All tutorials GitHub Copilot Chat Cookbook All prompts Communicate effectively Create templates Extract information Synthesize research Create diagrams Generate tables Debug errors Debug invalid JSON Handle API rate limits Analyze functionality Explore implementations Analyze feedback Refactor code Improve code readability Fix lint errors Refactor for optimization Refactor for sustainability Refactor design patterns Refactor data access layers Decouple business logic Handle cross-cutting Simplify inheritance hierarchies Fix database deadlocks Translate code Document code Create issues Document legacy code Explain legacy code Explain complex logic Sync documentation Write discussions or blog posts Testing code Generate unit tests Create mock objects Create end-to-end tests Update unit tests Analyze security Secure your repository Manage dependency updates Find vulnerabilities Customization library All customizations Custom instructions Your first custom instructions Concept explainer Debugging tutor Code reviewer GitHub Actions helper Pull request assistant Issue manager Accessibility auditor Testing automation Prompt files Your first prompt file Create README Onboarding plan Document API Review code Generate unit tests Custom agents Your first custom agent Implementation planner Bug fix teammate Cleanup specialist Coding agent Get the best results Pilot coding agent Spark Your first spark Prompt tips Build and deploy apps Deploy from CLI Use custom instructions Enhance agent mode with MCP Compare AI models Speed up development work Roll out at scale Assign licenses Set up self-serve licenses Track usage and adoption Remind inactive users Establish AI managers Enable developers Drive adoption Integrate AI agents Drive downstream impact Increase test coverage Accelerate pull requests Reduce security debt Measure trial success Explore a codebase Explore issues and discussions Explore pull requests Write tests Refactor code Optimize code reviews Reduce technical debt Review AI code Learn a new language Modernize legacy code Modernize Java applications Migrate a project Plan a project Vibe coding Upgrade projects Responsible use Copilot inline suggestions Chat in your IDE Chat in GitHub Chat in GitHub Mobile Copilot CLI Copilot in Windows Terminal Copilot in GitHub Desktop Pull request summaries Copilot text completion Commit message generation Code review Copilot coding agent Spark Copilot Spaces GitHub Copilot / Reference / AI models / Supported models Supported AI models in GitHub Copilot Learn about the supported AI models in GitHub Copilot. View page as Markdown In this article Supported AI models in Copilot Model retirement history Supported AI models per client Supported AI models per Copilot plan Model multipliers Next steps GitHub Copilot supports multiple models, each with different strengths. Some models prioritize speed and cost-efficiency, while others are optimized for accuracy, reasoning, or working with multimodal inputs (like images and code together). Depending on your Copilot plan and where you're using it—such as GitHub.com or an IDE—you may have access to different models. Note Model availability is subject to change. Some models may be replaced or updated over time. In Visual Studio Code you can add more models than those that are available by default with your Copilot subscription. See Changing the AI model for GitHub Copilot Chat . For all of the default AI models, input prompts and output completions run through GitHub Copilot's content filters for harmful, offensive, or off-topic content, and for public code matching when enabled. Supported AI models in Copilot This table lists the AI models available in Copilot, along with their release status and availability in different modes. Complimentary access to Grok Code Fast 1 is continuing past the previously announced end time. A new end date has not been set. We may update or conclude this promotion at any time. Regular pricing applies after the extension ends. Model name Provider Release status Agent mode Ask mode Edit mode GPT-4.1 OpenAI GA GPT-5 OpenAI GA GPT-5 mini OpenAI GA GPT-5-Codex OpenAI Public preview GPT-5.1 OpenAI GA GPT-5.1-Codex OpenAI GA GPT-5.1-Codex-Mini OpenAI Public preview GPT-5.1-Codex-Max OpenAI GA GPT-5.2 OpenAI GA Claude Haiku 4.5 Anthropic GA Claude Opus 4.1 Anthropic GA Claude Opus 4.5 Anthropic GA Claude Sonnet 4 Anthropic GA Claude Sonnet 4.5 Anthropic GA Gemini 2.5 Pro Google GA Gemini 3 Flash Google Public preview Gemini 3 Pro Google Public preview Grok Code Fast 1 xAI GA Raptor mini Fine-tuned GPT-5 mini Public preview Model retirement history The following table lists AI models that have been retired from Copilot, along with their retirement dates and suggested alternatives. Model name Retired date Suggested alternative Claude Sonnet 3.5 2025-11-06 Claude Haiku 4.5 Claude Opus 4 2025-10-23 Claude Opus 4.1 Claude Sonnet 3.7 2025-10-23 Claude Sonnet 4 Claude Sonnet 3.7 Thinking 2025-10-23 Claude Sonnet 4 Gemini 2.0 Flash 2025-10-23 Gemini 2.5 Pro o1-mini 2025-10-23 GPT-5 mini o3 2025-10-23 GPT-5 o3-mini 2025-10-23 GPT-5 mini o4-mini 2025-10-23 GPT-5 mini Supported AI models per client The following table shows which models are available in each client. Note When you use Copilot Chat in supported IDEs, Auto will automatically select the best model for you based on availability. You can manually choose a different model to override this selection. See About Copilot auto model selection and Changing the AI model for GitHub Copilot Chat . GPT-5-Codex is supported in Visual Studio Code v1.104.1 or higher. GPT-5.1-Codex and GPT-5.1-Codex-Mini are supported in: Visual Studio Code versions 1.104.1 or higher JetBrains, Copilot plugin versions 1.5.61 or higher Xcode, Copilot plugin versions 0.45.0 or later Eclipse, Copilot plugin versions 0.13.0 or later Model GitHub.com Visual Studio Code Visual Studio Eclipse Xcode JetBrains IDEs Claude Haiku 4.5 Claude Opus 4.1 Claude Opus 4.5 Claude Sonnet 4 Claude Sonnet 4.5 Gemini 2.5 Pro Gemini 3 Flash Gemini 3 Pro GPT-4.1 GPT-5 GPT-5 mini GPT-5-Codex GPT-5.1 GPT-5.1-Codex GPT-5.1-Codex-Mini GPT-5.1-Codex-Max GPT-5.2 Grok Code Fast 1 Raptor mini Supported AI models per Copilot plan The following table shows which AI models are available in each Copilot plan. For more information about the plans, see Plans for GitHub Copilot . Available models in chat Copilot Free Copilot Pro Copilot Pro+ Copilot Business Copilot Enterprise Claude Haiku 4.5 Claude Opus 4.1 Claude Opus 4.5 Claude Sonnet 4 Claude Sonnet 4.5 Gemini 2.5 Pro Gemini 3 Flash Gemini 3 Pro GPT-4.1 GPT-5 GPT-5 mini GPT-5-Codex GPT-5.1 GPT-5.1-Codex GPT-5.1-Codex-Mini GPT-5.1-Codex-Max GPT-5.2 Grok Code Fast 1 Raptor mini Model multipliers Each model has a premium request multiplier, based on its complexity and resource usage. If you are on a paid Copilot plan, your premium request allowance is deducted according to this multiplier. For more information about premium requests, see Requests in GitHub Copilot . Model Multiplier for paid plans Multiplier for Copilot Free Claude Haiku 4.5 0.33 1 Claude Opus 4.1 10 Not applicable Claude Opus 4.5 3 Not applicable Claude Sonnet 4 1 Not applicable Claude Sonnet 4.5 1 Not applicable Gemini 2.5 Pro 1 Not applicable Gemini 3 Flash 0.33 Not applicable Gemini 3 Pro 1 Not applicable GPT-4.1 0 1 GPT-4o 0 1 GPT-5 1 Not applicable GPT-5 mini 0 1 GPT-5-Codex 1 Not applicable GPT-5.1 1 Not applicable GPT-5.1-Codex 1 Not applicable GPT-5.1-Codex-Mini 0.33 Not applicable GPT-5.1-Codex-Max 1 Not applicable GPT-5.2 1 Not applicable Grok Code Fast 1 0.25 Not applicable Raptor mini 0 1 Next steps For task-based guidance on selecting a model, see AI model comparison . To configure which models are available to you, see Configuring access to AI models in GitHub Copilot . To learn how to change your current model, see Changing the AI model for GitHub Copilot Chat or Changing the AI model for GitHub Copilot inline suggestions . To learn more about Responsible Use and Responsible AI, see Copilot Trust Center and Responsible use of GitHub Copilot features . To learn how Copilot Chat serves different AI models, see Hosting of models for GitHub Copilot Chat . Help and support Did you find what you needed? Yes No Privacy policy Help us make these docs great! All GitHub docs are open source. See something that's wrong or unclear? Submit a pull request. Make a contribution Learn how to contribute Still need help? Ask the GitHub community Contact support Legal © 2026 GitHub, Inc. Terms Privacy Status Pricing Expert services Blog | 2026-01-13T08:49:34 |
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https://dumb.dev.to/bingkahu/gemini-told-me-it-had-20-years-in-coding-experience-and-spent-2-hours-debugging-a-for-loop-42p7#main-content | Gemini told me it had 20 years in coding experience and spent 2 hours debugging a for-loop - DUMB 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. 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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 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 bingkahu Posted on Jan 12 Gemini told me it had 20 years in coding experience and spent 2 hours debugging a for-loop # coding # ai # dumb # debugging The "Expert" Experience So I asked an AI with "20 years of experience" to help me out today. It bragged about building complex game engines, unofficial wikis, and massive websites through GitHub, but then it absolutely folded when it saw a basic for loop. We spent the next two hours staring at the screen together in silence. Turns out, "senior developer" just means you've made the same mistake so many times you've started calling it a feature. 10/10 experience, would debug nothing again. 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 Om Shree Om Shree Om Shree Follow Technical Evangelist | AI Researcher | Simplifying Complex AI & Agent Workflows for Developers Email omshree0709@gmail.com Location India Education Jaypee University Of Information Technology Pronouns He/Him Work Founder of Shreesozo Joined Feb 27, 2025 • Jan 12 Dropdown menu Copy link Hide 😂😂😂 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 bingkahu Follow Full-stack developer focused on decentralized communication and privacy-centric web applications. Lead maintainer of CodeChat, an open-source peer-to-peer messaging platform built on WebRTC and PeerJS Education School Work Student Joined Jan 11, 2026 💎 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 | 2026-01-13T08:49:34 |
https://popcorn.forem.com/popcorn_movies/ringer-movies-a-holiday-surprise-for-the-unboxing-boy-4gma | Ringer Movies: A Holiday Surprise for the Unboxing Boy - 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 Dec 6, 2025 Ringer Movies: A Holiday Surprise for the Unboxing Boy # reviews # offtopic A Holiday Surprise for the Unboxing Boy The Unboxing Boy is back with a festive twist, unwrapping five surprise physical-media gifts handpicked by his wife. Expect plenty of genuine reactions and holiday cheer as he dives into each package. Don’t miss out—subscribe to The Ringer-Verse and Bill Simmons channels on YouTube, check out the Ringer shop and website, and follow on Twitter, Facebook, and Instagram for more unboxing fun! 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 | 2026-01-13T08:49:34 |
https://dev.to/resumemind/how-to-write-a-resume-that-gets-interviews-not-rejections-127b#next-step | How to Write a Resume That Gets Interviews (Not Rejections) - 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 Resumemind Posted on Jan 12 How to Write a Resume That Gets Interviews (Not Rejections) # career # interview # tutorial Most resumes don’t fail because the candidate is unqualified. They fail because the resume doesn’t communicate value fast enough. Recruiters spend 6–8 seconds scanning a resume before deciding whether to continue or reject it. If your resume doesn’t pass that first scan, it’s over — no matter how skilled you are. This guide will show you step by step how to write a resume that gets interviews, not silent rejections. 1. Understand How Recruiters Actually Read Resumes Before writing anything, you need to understand how resumes are evaluated. Recruiters don’t read resumes line by line. They scan for: Job title relevance Clear role identity Skills that match the job Recent experience or projects Structure and readability If these aren’t obvious in seconds, the resume is rejected. 👉 Your goal is clarity, not creativity. 2. Start With a Clear Role-Focused Resume Header Your resume must immediately answer one question: Who are you professionally? ❌ Weak header John Doe Email | Phone | Location ✅ Strong header John Doe Junior Software Developer | Frontend (Angular) Email | Phone | LinkedIn | Portfolio This instantly tells the recruiter: your level your role your focus Never make recruiters guess. 3. Write a Resume Summary That Sells (Not One That Repeats) Your resume summary is not your life story. It’s a 2–4 line pitch. ❌ Bad summary “Hardworking and motivated individual looking for opportunities to grow.” This says nothing. ✅ Good summary Junior Software Developer with hands-on experience building web applications using Angular and Spring Boot. Strong in problem-solving, REST APIs, and clean UI design. Actively seeking an entry-level role where I can contribute and grow. A good summary: mentions your role highlights key skills shows direction 4. Experience Matters — Even If You Have No Job Experience Many people think: “I can’t write a good resume because I have no experience.” That’s false. Recruiters accept: projects internships freelance work academic projects self-initiated work How to Write Experience Correctly Instead of listing duties, list impact. ❌ Bad: Built a website Worked with Angular ✅ Good: Built a responsive web application using Angular and REST APIs Implemented authentication and improved UI usability If you don’t have job experience, projects become your experience. 5. Skills Section: Be Honest, Relevant, and Specific Your skills section should support your role — not show everything you’ve ever touched. ❌ Bad skills list HTML, CSS, Java, Python, Photoshop, Networking, Excel This looks unfocused. ✅ Good skills list Frontend: Angular, TypeScript, HTML, CSS Backend: Java, Spring Boot, REST APIs Tools: Git, GitHub, Postman Only list skills you’re ready to discuss in an interview. 6. Formatting Can Get You Rejected Instantly Even strong content can fail if formatting is poor. Use: 1 page (for juniors) clear section headings consistent spacing readable font bullet points Avoid: long paragraphs heavy colors icons everywhere photos (unless required) fancy designs that hurt readability A clean resume looks professional and trustworthy. 7. Tailor Your Resume for Each Job (This Is Critical) Using one resume for every job is one of the biggest mistakes job seekers make. You should: adjust your summary reorder skills emphasize relevant projects This doesn’t mean rewriting everything — it means highlighting what matters most for that role. Tailoring your resume alone can double your interview chances. 8. Common Resume Mistakes That Lead to Rejection Avoid these at all costs: No role mentioned Weak or generic summary No projects listed Grammar mistakes Overcrowded layout Irrelevant skills Copy-pasted content Recruiters see these mistakes every day — and reject fast. 9. Get a Second Pair of Eyes on Your Resume One of the best things you can do is get honest feedback. When reviewing resumes manually, the most common missing elements are: unclear role weak summary missing experience descriptions no direction You might not see these issues yourself. Getting your resume reviewed by another person can completely change your results. Final Thoughts A resume that gets interviews is not about being perfect. It’s about being clear, relevant, and honest. If recruiters can quickly understand: who you are what you can do and why you fit the role You’ll start getting callbacks. Next Step If you’re unsure whether your resume is working, get it reviewed before you apply. Often, a few small changes are all it takes to start getting interviews. We offer a free manual resume review , where real people review resumes daily and give honest feedback — not automated scores. 👉 Request a free resume review: https://resumemind.com/public/resume-review 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 Resumemind Follow Helping software developers and other related tech experts like project managers, QA, businesses analysts crafting their tech resumes for their next job applications. Joined Jan 4, 2026 More from Resumemind How I Built a Manual Resume Review System with Spring Boot & Angular # angular # career # showdev # springboot I Reviewed 50 Junior Developer Resumes — Here’s What Actually Works # beginners # career # codenewbie How to Write a Resume With No Work Experience (Fresh Graduate Guide for 2026) # beginners # career # tutorial 💎 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 | 2026-01-13T08:49:34 |
https://future.forem.com/future_arvr/metas-prototype-headsets-show-off-the-future-of-mixed-reality-335n | Meta's prototype headsets show off the future of mixed reality - 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 AR/VR News Posted on Aug 12, 2025 Meta's prototype headsets show off the future of mixed reality # arvr # wearables # science # manufacturing Meta’s prototype headsets show off the future of mixed reality | The Verge The future of VR could be much more realistic — or offer a wider FOV. theverge.com Meta’s Reality Labs is teasing what VR could look like with two wild research headsets debuting at SIGGRAPH 2025. The star of the show, dubbed “Tiramisu,” cranks realism up to 11: it boasts roughly 3× the contrast of Quest 3, 90 pixels per degree (that’s 3.6× Quest 3’s angular resolution) and up to 1,400 nits of brightness. The trade-off? It’s bulky, heavy and still limited in field of view. On the flip side, the “Boba 3” (and its Boba 3 VR sibling) goes ultrawide with a 180°×120° view—closer to human eyesight—and packs a 4K×4K display per eye. These prototypes use mass-production displays and Quest 3-style lenses, so they feel like hints at tomorrow’s headsets, even if Meta warns they might never reach store shelves. 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 AR/VR News Follow Joined Jan 3, 2025 More from AR/VR News vivo Vision mixed reality headset shown off, testers praise its comfortable design # arvr # wearables # iot # edgecomputing Snap Spectacles 5 - Optical Analysis of the AR HMD # arvr # wearables # manufacturing # nanotech Meta's prototype headsets show off the future of mixed reality # arvr # wearables # science # manufacturing 💎 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 | 2026-01-13T08:49:34 |
https://dev.to/kiranbaby14/i-built-a-video-search-engine-that-understands-what-youre-looking-for-51m7 | Video Libraries Made Searchable by AI - 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 Kiran Baby Posted on Dec 26, 2025 • Edited on Dec 31, 2025 Video Libraries Made Searchable by AI # ai # opensource # webdev # python Ever tried finding that ONE moment in a 2-hour video? Yeah, me too. It sucks. Back again with another project! Hope y'all had an amazing Christmas! 🎄. Jingle bells jingle bells jingle all the way ✌️ The Problem You recorded a meeting. Or a lecture. Or your kid's recital. Now you need to find that specific part where someone said something important, or that exact scene you vaguely remember. Your options: Scrub through the entire video like a caveman Hope YouTube's auto-chapters got it right (they didn't) Give up and rewatch the whole thing What if you could just... describe what you're looking for? "Find the part where he talks about the budget" "Show me when there's a red car on screen" "Jump to where she mentions the deadline" That's what I built. Introducing SearchLightAI 🔦 SearchLightAI lets you search your videos by describing what you see OR what was said. Upload a video, wait for it to process, then search with natural language. It returns the exact timestamp. Click it. You're there. Search your videos like you search your documents. The Tech Stack 🤓 Layer Tech API FastAPI + SQLModel Databases PostgreSQL (metadata) + Qdrant (vectors) Vision AI SigLIP2 (google/siglip2-base-patch16-512) Speech AI faster-whisper + Sentence Transformers Video Processing FFmpeg + PySceneDetect Frontend Next.js 16, React 19, Tailwind CSS, shadcn/ui How It Works 📥 Ingestion Pipeline Video Upload ↓ PySceneDetect → finds scene changes ↓ FFmpeg → extracts keyframes + audio ↓ faster-whisper → transcribes speech ↓ SigLIP2 → embeds keyframes (768-dim) Sentence Transformers → embeds transcript (384-dim) ↓ Qdrant → stores all vectors Enter fullscreen mode Exit fullscreen mode 🔍 Search Pipeline Your query: "when he talks about the budget" ↓ Same models embed your query ↓ Cosine similarity search in Qdrant ↓ Results ranked by relevance ↓ Click → jump to exact timestamp Enter fullscreen mode Exit fullscreen mode Three Search Modes 🎬 Visual Search - Describe what you see "man standing near whiteboard" "outdoor scene with trees" "someone holding a laptop" 🎤 Speech Search - What was said "when they mentioned the quarterly results" "the part about machine learning" "discussion about the timeline" 🔀 Hybrid Search - Best of both Combines visual and speech results. Usually what you want. The Secret Sauce: SigLIP2 Most visual search uses CLIP. I went with SigLIP2 instead. Why? SigLIP uses sigmoid loss instead of softmax contrastive loss. The practical difference: better zero-shot performance, especially for fine-grained visual details. One quirk though - raw SigLIP scores are lower than you'd expect. A "great match" might be 0.25-0.35 cosine similarity. So I rescale them: def rescale_siglip_score ( cosine_score : float ) -> float : """ Maps SigLIP scores to intuitive 0-1 range. """ midpoint = 0.18 steepness = 12 x = ( cosine_score - midpoint ) * steepness return 1 / ( 1 + math . exp ( - x )) Enter fullscreen mode Exit fullscreen mode Now 0.35 → ~90%, 0.25 → ~70%, which feels right in the UI. Smart Keyframe Extraction I'm not extracting every frame (that would be insane). PySceneDetect uses adaptive content detection to find actual scene changes. For each scene, I grab: Frame at the start Frame at the middle (for scenes > 2 seconds) This gives good coverage without exploding storage or processing time. Running It Yourself Docker Compose (Recommended) git clone https://github.com/kiranbaby14/searchlightai.git cd searchlightai cp apps/server/.env.example apps/server/.env cp apps/client/.env.example apps/client/.env docker-compose up -d Enter fullscreen mode Exit fullscreen mode Wait for models to load (around 2-3 min first time), then: Frontend: http://localhost:3000 API: http://localhost:8000 Prerequisites NVIDIA GPU with CUDA support Docker + Docker Compose Around 4GB+ VRAM should work (SigLIP2 + faster-whisper + Sentence Transformers are relatively lightweight) ⏱️ Heads up: Processing time depends on video length. A 10-min video takes a couple minutes, but longer videos (1hr+) will need more patience. Scene detection, transcription, and embedding generation all add up. What Could You Build With This? Some ideas: 📹 Meeting search - Find decisions across hundreds of recorded meetings 🎓 Lecture navigation - Students jumping to specific topics 📺 Media asset management - Search through footage libraries 📱 Personal video search - Your phone videos, finally searchable The Code Is Yours GitHub: github.com/kiranbaby14/SearchLightAI Star it ⭐ if you think video search should be this easy. Shoutouts 🙏 SigLIP2 from Google for visual embeddings that actually work PySceneDetect for making scene detection actually usable Qdrant for a vector DB that just works faster-whisper for Whisper that's actually fast That's It. Go Break It. Clone it, throw your weirdest videos at it, see what breaks. File issues. Send PRs. Roast my code in the comments. The best part of putting stuff out there? Finding out all the ways you didn't think of using it. Catch you in the next one. ✌️ Built with ⚡, mass Claude Code sessions, and an unhealthy amount of caffeine ☕ by @kiranbaby14 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 Kiran Baby Follow An enthusiastic developer. Location UK, London Education University of St Andrews Work Software Engineer Joined Nov 4, 2021 More from Kiran Baby I Built a 3D AI Avatar That Actually Sees and Talks Back 🎭 # webdev # ai # opensource # learning 💎 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. 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https://dev.to/ciscoemerge/two-approaches-to-make-your-apis-more-secure-25mj | Two approaches to make your APIs more secure - 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 Jan Schulte for Outshift By Cisco Posted on Sep 1, 2023 Two approaches to make your APIs more secure # api # apisecurity # devops When you think about making your microservice architecture more secure, would you know where to start? There are so many ways to begin securing a system that it quickly becomes overwhelming. Also make sure to check out this post to read a written walk-through! 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 Taniya Taniya Taniya Follow Indulge in freeze-dried candy delights! Discover crunchy, delicious candy, including Candy Corn, at Candyjan. Satisfy your sweet cravings today. Joined Sep 4, 2023 • Sep 4 '23 Dropdown menu Copy link Hide Thanks for sharing 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 Outshift By Cisco Follow Checkout all of the innovations at Outshift.com Outshift.com More from Outshift By Cisco Two approaches to make your APIs more secure # api # security # openapi KubeClarity in Action - Image Scanning as part of your CI workflow # kubernetes # docker # devops # security Ship smaller Docker images - Best practices # docker # devops # kubernetes 💎 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 | 2026-01-13T08:49:34 |
https://dev.to/resumemind/how-to-write-a-resume-that-gets-interviews-not-rejections-127b#final-thoughts | How to Write a Resume That Gets Interviews (Not Rejections) - 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 Resumemind Posted on Jan 12 How to Write a Resume That Gets Interviews (Not Rejections) # career # interview # tutorial Most resumes don’t fail because the candidate is unqualified. They fail because the resume doesn’t communicate value fast enough. Recruiters spend 6–8 seconds scanning a resume before deciding whether to continue or reject it. If your resume doesn’t pass that first scan, it’s over — no matter how skilled you are. This guide will show you step by step how to write a resume that gets interviews, not silent rejections. 1. Understand How Recruiters Actually Read Resumes Before writing anything, you need to understand how resumes are evaluated. Recruiters don’t read resumes line by line. They scan for: Job title relevance Clear role identity Skills that match the job Recent experience or projects Structure and readability If these aren’t obvious in seconds, the resume is rejected. 👉 Your goal is clarity, not creativity. 2. Start With a Clear Role-Focused Resume Header Your resume must immediately answer one question: Who are you professionally? ❌ Weak header John Doe Email | Phone | Location ✅ Strong header John Doe Junior Software Developer | Frontend (Angular) Email | Phone | LinkedIn | Portfolio This instantly tells the recruiter: your level your role your focus Never make recruiters guess. 3. Write a Resume Summary That Sells (Not One That Repeats) Your resume summary is not your life story. It’s a 2–4 line pitch. ❌ Bad summary “Hardworking and motivated individual looking for opportunities to grow.” This says nothing. ✅ Good summary Junior Software Developer with hands-on experience building web applications using Angular and Spring Boot. Strong in problem-solving, REST APIs, and clean UI design. Actively seeking an entry-level role where I can contribute and grow. A good summary: mentions your role highlights key skills shows direction 4. Experience Matters — Even If You Have No Job Experience Many people think: “I can’t write a good resume because I have no experience.” That’s false. Recruiters accept: projects internships freelance work academic projects self-initiated work How to Write Experience Correctly Instead of listing duties, list impact. ❌ Bad: Built a website Worked with Angular ✅ Good: Built a responsive web application using Angular and REST APIs Implemented authentication and improved UI usability If you don’t have job experience, projects become your experience. 5. Skills Section: Be Honest, Relevant, and Specific Your skills section should support your role — not show everything you’ve ever touched. ❌ Bad skills list HTML, CSS, Java, Python, Photoshop, Networking, Excel This looks unfocused. ✅ Good skills list Frontend: Angular, TypeScript, HTML, CSS Backend: Java, Spring Boot, REST APIs Tools: Git, GitHub, Postman Only list skills you’re ready to discuss in an interview. 6. Formatting Can Get You Rejected Instantly Even strong content can fail if formatting is poor. Use: 1 page (for juniors) clear section headings consistent spacing readable font bullet points Avoid: long paragraphs heavy colors icons everywhere photos (unless required) fancy designs that hurt readability A clean resume looks professional and trustworthy. 7. Tailor Your Resume for Each Job (This Is Critical) Using one resume for every job is one of the biggest mistakes job seekers make. You should: adjust your summary reorder skills emphasize relevant projects This doesn’t mean rewriting everything — it means highlighting what matters most for that role. Tailoring your resume alone can double your interview chances. 8. Common Resume Mistakes That Lead to Rejection Avoid these at all costs: No role mentioned Weak or generic summary No projects listed Grammar mistakes Overcrowded layout Irrelevant skills Copy-pasted content Recruiters see these mistakes every day — and reject fast. 9. Get a Second Pair of Eyes on Your Resume One of the best things you can do is get honest feedback. When reviewing resumes manually, the most common missing elements are: unclear role weak summary missing experience descriptions no direction You might not see these issues yourself. Getting your resume reviewed by another person can completely change your results. Final Thoughts A resume that gets interviews is not about being perfect. It’s about being clear, relevant, and honest. If recruiters can quickly understand: who you are what you can do and why you fit the role You’ll start getting callbacks. Next Step If you’re unsure whether your resume is working, get it reviewed before you apply. Often, a few small changes are all it takes to start getting interviews. We offer a free manual resume review , where real people review resumes daily and give honest feedback — not automated scores. 👉 Request a free resume review: https://resumemind.com/public/resume-review 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 Resumemind Follow Helping software developers and other related tech experts like project managers, QA, businesses analysts crafting their tech resumes for their next job applications. Joined Jan 4, 2026 More from Resumemind How I Built a Manual Resume Review System with Spring Boot & Angular # angular # career # showdev # springboot I Reviewed 50 Junior Developer Resumes — Here’s What Actually Works # beginners # career # codenewbie How to Write a Resume With No Work Experience (Fresh Graduate Guide for 2026) # beginners # career # tutorial 💎 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 | 2026-01-13T08:49:34 |
https://www.digitalcameraworld.com/features/abraham-lincoln-vs-john-calhoun-the-original-deepfake-photo | Abraham Lincoln vs John Calhoun: the original deepfake photo of a US president | Digital Camera World Skip to main content Open menu Close main menu Digital Camera World THE HOME OF DIGITAL PHOTOGRAPHY US Edition US Canada UK Australia Subscribe Sign in View Profile Sign out Search Search Digital Camera World Cameras Accessories Tech How To Reviews Buying Guides Magazines Bokeh Face Podcast The Photography & Video Show Digital Camera Australian Camera Australian ProPhoto About Us Photography Magazines Why subscribe? 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Your back catalog might have some hidden gems that are ripe for enhancements Photography In Memoriam: the brilliant photographers we sadly lost in 2025 Lenses Researchers hacked a weird Franken-lens to a Canon EOS R10 to take photos with everything in focus – without computational photography Artificial Intelligence Researchers let an AI generate thousands of images without human input. The lack of originality was “sobering for computational creativity”, with images only falling into 12 cliched styles Popular Camera news Camera rumors Photo mag deals Photography & Video Show Cheatsheets Tech Software Artificial Intelligence Abraham Lincoln vs John Calhoun: the original deepfake photo of a US president Features By James Artaius published 4 July 2024 This iconic 1865 portrait of Abraham Lincoln was actually a doctored image of slavery advocate John Calhoun When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works . Side by side image of the original 1852 painting of John Calhoun (right), next to the 1865 print that superimposes a photograph of Abraham Lincoln to replace the original head (Image credit: Library of Congress) Share Share by: Copy link Facebook X Whatsapp Pinterest Flipboard Share this article Join the conversation Follow us Add us as a preferred source on Google Today, we're terrified that photographs have been manipulated by AI. Before that it was deepfakes, and Photoshop , and predating that we worried that images had been airbrushed. But images have been doctored for literally hundreds of years – including one of the most iconic portraits of Abraham Lincoln, which was created by superimposing a photograph of Honest Abe taken in 1864 onto a painting of slavery advocate John Calhoun created in 1852. The situation is eye-opening for a number of reasons. Firstly, the photograph of Lincoln used to doctor the painting of Calhoun is arguably the most famous of the President: the 1864 photo, taken by Anthony Berger, adorned the five-dollar bill from 1914-2007. You may like The internet is furious over the Vanity Fair Trump cabinet portraits. But the photographer says the goal was “to reveal something more real” Jeff Wall's photographs are 'staged documentary', but is that ethically sound? This viral trend for passport photos says something profound about Gen Z And of course, the greatest sting in the tail is that Lincoln – quite literally the face of emancipation – sits atop the body of a slaveowner and nullifier. "The John C Calhoun portrait morphed into a Lincoln portrait, flowing robes and all, Unionist replacing secessionist," Harold Holzer, author of The Lincoln Image , told BBC Culture . The original 1864 photograph of Lincoln, taken by Anthony Berger, was used on the five-dollar bill from 1914-2007 (Image credit: Library of Congress) "The great historical irony is that it's the preserver of the Union's head on the great nullifier's body – the emancipator's face on the body of slavery's most ardent defender." Perhaps the greatest irony is the response of the President, following an accusation of being two-faced: "If I had another face, do you think I'd wear this one?" Get the Digital Camera World Newsletter The best camera deals, reviews, product advice, and unmissable photography news, direct to your inbox! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. So how did this bizarre situation come to be? According to Holzer, following Lincoln's assassination in 1865, "there was an explosion of demand for pictures: heroic portraits, deathbed scenes, even retrospective pictures that suggested he was an active military leader". He told the BBC that the doctored image was probably created "when demand for images of the martyred Lincoln peaked". You may like The internet is furious over the Vanity Fair Trump cabinet portraits. But the photographer says the goal was “to reveal something more real” Jeff Wall's photographs are 'staged documentary', but is that ethically sound? This viral trend for passport photos says something profound about Gen Z The 1865 composite image, featuring Brady's 1864 photograph (Image credit: Library of Congress) While the President was famous for embracing photography as a means to cultivate his image, reportedly sitting for over 120 photos in his last 18 years, it is claimed that there was a lack of appropriately "heroic" images of him. Anthony Berger, who took the original 'Five Dollar Bill Portrait', worked for photojournalist Mathew Brady – a famed photographer who established a studio in Washington, DC. However, although he was renowned for his Civil War images, Brady was previously a painter – and was said by Dr Hany Farid to have "routinely doctored photographs to create more compelling images". According to BBC Culture, it was a printmaker named William Pate who carried out the work of compositing Lincoln's head onto Thomas Hicks' painting of Calhoun – along with editing the papers reading "Strict Constitution", "Free Trade" and "the Sovereignty of the States" to read "Constitution", "Union" and "Proclamation of Freedom" in the doctored version. So there you have it: 159 years before Meta started haphazardly accusing photos of being "Made with AI" , and 80 years before the first digital computer was even invented, people were doctoring and deepfaking images of celebrities. The original 1852 painting of Calhoun, by Thomas Hicks (Image credit: Library of Congress) If you prefer your portraiture to be real, rather than faked by whatever method, you might be interested in the best cameras for portraits , along with the best lenses for portraits . James Artaius Social Links Navigation Editor in Chief James has 25 years experience as a journalist, serving as the head of Digital Camera World for 7 of them. He started working in the photography industry in 2014, product testing and shooting ad campaigns for Olympus, as well as clients like Aston Martin Racing, Elinchrom and L'Oréal. An Olympus / OM System, Canon and Hasselblad shooter, he has a wealth of knowledge on cameras of all makes – and he loves instant cameras, too. Read more The internet is furious over the Vanity Fair Trump cabinet portraits. But the photographer says the goal was “to reveal something more real” Jeff Wall's photographs are 'staged documentary', but is that ethically sound? 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Snails could overtake Nikon’s new zoom lens, but I think I’m a fan If I were starting my Pro Sports Photography career again, I’d buy this 180-600mm lens - it's currently got $200 off and under $2,000 Is DJI banned in the US? Yes, but there’s some fine print. This is what the DJI "ban" really means LATEST ARTICLES 1 Researchers hacked a weird Franken-lens to a Canon EOS R10 to take photos with everything in focus – without computational photography 2 OWC launches the ultimate portable SSD 3 Meet the wildlife photographer buying up land in Africa to protect animal habitats, using money he makes with his camera 4 The secret meaning behind the name Minolta (and how the camera brand evolved before disappearing forever) 5 Meet the youthful, often shocking future of fine art photography at Circulation(s) 2026 Digital Camera World is part of Future US Inc, an international media group and leading digital publisher. Visit our corporate site . 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https://blog.getbind.co/2024/09/17/gpt-o1-vs-claude-3-5-sonnet-which-model-is-better-for-coding/ | GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding? – Bind AI Skip to the content Search Bind AI Vibe Coding. Create Full stack Applications with AI Menu Menu Search Search for: Close search Close Menu Try Bind AI Try Bind AI Categories GPT o1 LLM Code Generation GPT o1 vs Claude 3.5 Sonnet: Which model is better for Coding? Post author By Sushant Babbar Post date September 17, 2024 OpenAI’s recent announcement of the OpenAI o1 model family has shone debate among developers interested in AI code generation . As per OpenAI, the o1 models have been designed specifically for tasks like coding, which require better reasoning and contextual awareness. Many people have already started to draw comparisons between OpenAI o1, GPT-4o , and even Claude 3.5 Sonnet for their coding potentiality. In this blog, we compare the capabilities of OpenAI o1, Claude 3.5 Sonnet and GPT-4o. We’ll draw on real experiences and practical examples shared by users on Reddit and other platforms. GPT o1 Overview Its important to know that “o1” is a new series of OpenAI models with an architecture different from GPT (i.e. generative pre-trained transformers), so calling it GPT o1 is not accurate. It is being referred to as “OpenAI o1”. The model is designed for complex reasoning and problem-solving tasks – especially code generation. Unlike its predecessors, GPT-4o and GPT-4o mini, o1 spends more time reasoning with chain of thoughts (CoT) and processing the inputs before generating outputs, which is particularly beneficial for coding challenges that require a deeper understanding of context and logic. As per OpenAI, the models can perform similarly to PhD students on challenging benchmark tasks. The model operates differently compared to previous generation, as it can take up to 30 seconds for reasoning and it may not exactly be efficient at a conversational type interaction. Giving upfront context in the prompt with instructions might work better than subsequent prompting. Key Features of OpenAI o1 Enhanced Reasoning : o1 is reported to outperform GPT-4o in complex reasoning tasks, achieving an impressive 89th percentile in competitive programming evaluations. Contextual Awareness : With a context window of 128K tokens, o1 can handle larger inputs, making it suitable for extensive coding projects that require maintaining context over longer interactions. Model Variants : OpenAI currently offers two versions of o1: the o1-preview , which is more powerful but slower, and the o1-mini , which is faster and cheaper, making it accessible for everyday coding tasks. OpenAI o1 vs Claude 3.5 Sonnet for Coding o1 performance in Coding Tasks When it comes to OpenAI o1’s coding abilities, early users have reported mixed experiences on reddit and twitter (X). Many users have reported a decently good reasoning boost on GPT-4o, while a few believe the hype won’t last more than a few weeks . GitHub Copilot’s blog suggests that o1-preview’s reasoning capability allows a deeper understanding of the code’s constraints and edge cases , which helps produce a more efficient and higher-quality result. We’ll have to wait for the full release to see conclusional results. Performance Metrics Here are some performance metrics based on independent (and anecdotal) evaluations of each AI model’s capabilities in reasoning, context handling, speed, and error correction (courtesy : Aider, GitHub, Reddit ). Feature OpenAI o1 GPT-4o Claude 3.5 Reasoning Ability Superior Moderate Good Context Window 128K tokens 128K tokens 500K tokens (Enterprise) Speed Slower than Claude Moderate Fast Error Correction Good Moderate Excellent General technical specifications Model Name Average Spatial Web of Lies v2 Zebra Puzzle 01 mini (2024-09-12 ) 77.33 50 100 82 Claude 3.5 sonnet (20240620 ) 58.67 48 80 48 gpt 40 (2024-08-06 ) 54.67 56 66 42 meta-llama-3.1-405b-instruct-turbo 53.33 46 80 34 chatgpt 4o latest 52 42 68 46 gpt-4-turbo-2024-04-09 51.33 46 70 38 gpt-40-2024-05-13 50 40 70 40 gemini-1.5-pro-exp-0827 49.33 36 80 32 gemini-1.5-pro-exp-0801 48.67 36 72 38 gemini-1.5-flash-exp-0827 47.33 38 68 36 gpt-4-0125-preview 47.33 46 52 44 deepseek-coder-v2 45.33 38 56 42 Benchmark test results In the above table, we can a big leap between o1 and GPT-4o’s reasoning and bias-detection capabilities. Credit: Aider The first benchmark run of o1-mini has it ~tied with GPT-4o on aider’s code editing benchmark. Practical Examples of o1’s Coding Capabilities To illustrate the differences in coding capabilities, let’s consider a few practical examples based on user experiences and discussions from the GitHub Copilot’s o1 vs Claude analysis . Look at the first example below, where both Claude 3.5 Sonnet, currently the most advanced AI model, and OpenAI o1 provide the correct solution for the query prompt. In the 2nd example we’ve chosen, we can see o1 outsmarting Claude to provide the correct/better solution. This suggests that there are some advantages to the o1. Now, here are some example prompts (that you can also try yourself) to help you see which model is better. We’ve also provided context on how well each model performs. Example 1: Generating a Simple Function Prompt: “Write a Python function that takes a list of integers and returns the sum of all even numbers in the list. The function should handle empty lists and lists containing only one element.” Try the prompt with Claude 3.5 Sonnet OpenAI o1 : The model generated a concise and efficient function that met all the requirements specified in the prompt. It handled edge cases gracefully and provided clear variable names for easy understanding. GPT-4o : The generated function was correct but included unnecessary comments and validation checks that made the code longer than necessary. While the function worked as expected, the excessive code could be confusing for users. Claude 3.5 Sonnet : The model produced a straightforward and well-structured function that addressed the prompt effectively. It used clear variable names, minimal comments, and a simple loop to iterate through the list, making the code easy to read and understand. Example 2: Debugging Code Prompt: “Debug this JavaScript function to remove all vowels from a string function removeVowels(str) { return str.replace(/[aeiou]/gi, ”); }” Try the prompt with GPT 4o OpenAI o1 : After carefully analyzing the provided code, o1 quickly identified the issue and suggested a corrected version that worked perfectly. The solution was concise and efficient, addressing the problem directly. GPT-4o : While the model correctly identified the error in the code, the suggested fix was overly complicated and included unnecessary changes. The corrected version, although functional, could confuse users looking for a simple solution. Claude 3.5 Sonnet : The model pinpointed the mistake in the code and provided a clear and concise correction. The suggested solution was easy to understand and implement, making it user-friendly and effective. Example 3: Writing Unit Tests Prompt: “Develop a set of unit tests for a function that takes a list of strings as input and returns a new list containing only the strings that are palindromes. The function should handle empty lists and lists containing only one element.” Try the prompt with Claude OpenAI o1 : The model generated a comprehensive set of unit tests that covered various scenarios, including edge cases. The tests were well-structured, easy to read, and ensured the function’s robustness and reliability. GPT-4o : While the generated tests covered some basic cases, they lacked thoroughness and missed critical edge cases. The tests were adequate but might not provide enough confidence in the function’s behavior under certain conditions. Claude 3.5 Sonnet : The model produced a well-structured and thorough set of unit tests that addressed the prompt effectively. The tests covered a wide range of scenarios, including edge cases, ensuring the function’s reliability and making it easier for users to trust the implementation. OpenAI o1 vs Claude 3.5 Sonnet: Verdict The selection among OpenAI o1, GPT-4o, and Claude 3.5 Sonnet is heavily influenced by user requirements, with recent discussions highlighting some notable distinctions and user experiences. While we can only provide a subjective and anecdotal verdict in its early days, it is essential to test out multiple models for each of your use cases. Claude 3.5 Sonnet vs OpenAI o1 Claude 3.5 Sonnet continues to be a strong competitor to OpenAI o1, particularly in terms of cost-effectiveness (it’s 4x cheaper). Users have noted that even though Claude 3.5 Sonnet is significantly cheaper, it still closely matches the performance of o1, especially in coding tasks with Claude and Github codebase integration . This model operates with a 200K token context window (up to 500K in Claude ), which enhances its ability to handle complex coding scenarios effectively. Internal evaluations indicate that Claude 3.5 Sonnet solved 64% of coding problems, outperforming its predecessor, Claude 3 Opus, which solved only 38%. On the other hand, OpenAI o1 is often favored for intricate coding tasks that demand deep reasoning and extensive context retention. However, some users have expressed that the o1 mini version does not perform as closely to the o1 preview as expected, leading to a perception that it may not be the best option for all coding needs. Claude 3.5 Sonnet: Still a cost-effective leader for Coding Claude 3.5 is still a very effective model for coding tasks and reasoning abilities, especially given that it is 4X cheaper than GPT o1. For ChatGPT users, GPT 4o remains a viable choice for simpler coding tasks or when speed is of the essence. However, users have reported that it can sometimes produce verbose outputs and struggle with effective error correction. This verbosity can detract from its utility in fast-paced coding environments where clarity and conciseness are crucial. The choice of model ultimately hinges on specific user needs. For instance, Claude 3.5 Sonnet’s speed and its accessibility via code generation platforms such as Bind AI Copilot or Cursor make it particularly appealing for developers who need to iterate quickly and efficiently. . In contrast, OpenAI o1 is a very powerful model for more complex projects requiring nuanced understanding and extensive context retention. Users who frequently switch between models have noted that both Claude and OpenAI have their strengths, often relying on each to complement the other in different coding scenarios. So yes, the bottom line is that while OpenAI o1 offers reasonable advancements for complex coding tasks, Claude 3.5 Sonnet presents the most compelling alternative with its cost efficiency and performance that isn’t too far behind the o1. You can try Claude 3.5 Sonnet and compare with GPT 4o in Bind AI Copilot and let us know which model you prefer for your tasks. Share this: Click to share on Reddit (Opens in new window) Reddit Post Click to email a link to a friend (Opens in new window) Email Click to share on Threads (Opens in new window) Threads Click to share on WhatsApp (Opens in new window) WhatsApp Tags gpt o1 , openai o1 ← OpenAI o1 vs GPT 4o – Is it worth paying 6x more? → Google DataGemma vs GPT o1 comparison: RAG vs Chain of Thoughts Anthropic GPT-40 OpenAI GPT o1 AI Code Generation DeepSeek Cursor AI Model Comparison Claude 3.5 Sonnet GPT-4o Qwen 2.5 DeepSeek R1 Recommended Posts January 13, 2026 by Sushant Babbar Anthropic announces Claude Cowork for non-coders, here’s how to use it January 7, 2026 by Sushant Babbar 6 of the Best Vibe Coding Tools in 2026 December 18, 2025 by Sushant Babbar GPT Image 1.5 vs Gemini Nano Banana Pro: Which Is Better for Professional Work? December 12, 2025 by Sushant Babbar GPT-5.2 Vs Claude Opus 4.5 Vs Gemini 3.0 Pro - Which One Is Best For Coding? December 3, 2025 by Sushant Babbar Mistral 3 vs Kimi K2 vs Qwen 3 - Which is the best open-weight model? © 2026 Bind AI Powered by WordPress To the top ↑ Up ↑ Chat with Claude Opus 4.5 × Start with Bind AI Claude Opus 4.5 · Gemini 3.0 Pro · GPT-5.1 · Claude Sonnet 4.5 — one subscription. Create websites, generate code, sync your Github Generate Code Chat with AI create a landing page Python script React pricing table Explain entanglement | 2026-01-13T08:49:34 |
https://dev.to/scale_youtube/techworld-with-nana-kafka-crash-course-hands-on-project-3hp8 | TechWorld with Nana: Kafka Crash Course - Hands-On Project - 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 Oct 5, 2025 TechWorld with Nana: Kafka Crash Course - Hands-On Project # cloud # architecture Kafka Crash Course – Hands-On Project walks you through the “what, why, and how” of Apache Kafka, from its core concepts and scalability magic to real-world use cases that set it apart from other message brokers. You’ll get a quick rundown on why Kafka exists, how it achieves blazing performance, and even a side-by-side comparison with traditional systems. Then it’s boots-on-the-ground time: you’ll spin up Kafka with Docker Compose, scaffold a Python project in PyCharm, write both producer and consumer clients, play with the Kafka CLI, and finally test the full pipeline end-to-end. All code is available on GitLab, plus you get links to official docs and starter tutorials on Python and Docker if you need a refresher. 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 # architecture # performance NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career # architecture # performance NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career # architecture # performance 💎 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 | 2026-01-13T08:49:34 |
https://dev.to/pycraftdev/pycrafts-settings-redesign-26c0 | Pycraft's Settings Redesign - 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 Tom Jebbo Posted on Aug 19, 2022 • Originally published at youtu.be Pycraft's Settings Redesign # programming # python # gamedev # opensource Introducing the redesigned settings menu for Pycraft (with sound), now including better joystick control too! We hope you enjoy the settings menu refresh, there are a few rough edges still though, more content coming soon! You can also check it out here: https://youtu.be/aBpcFXGS75E 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 Tom Jebbo Follow We are a group of software engineers behind project Pycraft. We share weekly summaries of our programming work here! Pronouns he/him Joined Nov 13, 2021 More from Tom Jebbo Pycraft progress update! # programming # python # gamedev # opensource Pycraft progress update! # programming # python # gamedev # opensource Pycraft progress update! # programming # python # gamedev # opensource 💎 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 | 2026-01-13T08:49:34 |
https://www.digitalcameraworld.com/features/abraham-lincoln-vs-john-calhoun-the-original-deepfake-photo | Abraham Lincoln vs John Calhoun: the original deepfake photo of a US president | Digital Camera World Skip to main content Open menu Close main menu Digital Camera World THE HOME OF DIGITAL PHOTOGRAPHY US Edition US Canada UK Australia Subscribe Sign in View Profile Sign out Search Search Digital Camera World Cameras Accessories Tech How To Reviews Buying Guides Magazines Bokeh Face Podcast The Photography & Video Show Digital Camera Australian Camera Australian ProPhoto About Us Photography Magazines Why subscribe? Issues filled with product reviews, latest updates, expert advice and more Delivered to your Android or IOS device Every issue is packed with photo tips, kit reviews and inspiration From $12 Subscribe now Don't miss these Film Cameras I've given up on film scanners for my analog negatives because this works better Portrait Photography Richard Avedon's American West: what today's portrait photographers can still learn from this classic series Nature and Wildlife Photography Yes, this IS a photograph! How a double exposure turned a water strider into an award-worthy work of art Artificial Intelligence The internet is calling out Grok for “nudifying” photos. But it’s not even the first time X’s AI has been under fire for undressing photos Social Media Instagram, as we know it, is dead. But as Instagram head Adam Mosseri calls pro photographs “boring,” where is Instagram headed next? 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Your back catalog might have some hidden gems that are ripe for enhancements Photography In Memoriam: the brilliant photographers we sadly lost in 2025 Lenses Researchers hacked a weird Franken-lens to a Canon EOS R10 to take photos with everything in focus – without computational photography Artificial Intelligence Researchers let an AI generate thousands of images without human input. The lack of originality was “sobering for computational creativity”, with images only falling into 12 cliched styles Popular Camera news Camera rumors Photo mag deals Photography & Video Show Cheatsheets Tech Software Artificial Intelligence Abraham Lincoln vs John Calhoun: the original deepfake photo of a US president Features By James Artaius published 4 July 2024 This iconic 1865 portrait of Abraham Lincoln was actually a doctored image of slavery advocate John Calhoun When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works . Side by side image of the original 1852 painting of John Calhoun (right), next to the 1865 print that superimposes a photograph of Abraham Lincoln to replace the original head (Image credit: Library of Congress) Share Share by: Copy link Facebook X Whatsapp Pinterest Flipboard Share this article Join the conversation Follow us Add us as a preferred source on Google Today, we're terrified that photographs have been manipulated by AI. Before that it was deepfakes, and Photoshop , and predating that we worried that images had been airbrushed. But images have been doctored for literally hundreds of years – including one of the most iconic portraits of Abraham Lincoln, which was created by superimposing a photograph of Honest Abe taken in 1864 onto a painting of slavery advocate John Calhoun created in 1852. The situation is eye-opening for a number of reasons. Firstly, the photograph of Lincoln used to doctor the painting of Calhoun is arguably the most famous of the President: the 1864 photo, taken by Anthony Berger, adorned the five-dollar bill from 1914-2007. You may like The internet is furious over the Vanity Fair Trump cabinet portraits. But the photographer says the goal was “to reveal something more real” Jeff Wall's photographs are 'staged documentary', but is that ethically sound? This viral trend for passport photos says something profound about Gen Z And of course, the greatest sting in the tail is that Lincoln – quite literally the face of emancipation – sits atop the body of a slaveowner and nullifier. "The John C Calhoun portrait morphed into a Lincoln portrait, flowing robes and all, Unionist replacing secessionist," Harold Holzer, author of The Lincoln Image , told BBC Culture . The original 1864 photograph of Lincoln, taken by Anthony Berger, was used on the five-dollar bill from 1914-2007 (Image credit: Library of Congress) "The great historical irony is that it's the preserver of the Union's head on the great nullifier's body – the emancipator's face on the body of slavery's most ardent defender." Perhaps the greatest irony is the response of the President, following an accusation of being two-faced: "If I had another face, do you think I'd wear this one?" Get the Digital Camera World Newsletter The best camera deals, reviews, product advice, and unmissable photography news, direct to your inbox! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. So how did this bizarre situation come to be? According to Holzer, following Lincoln's assassination in 1865, "there was an explosion of demand for pictures: heroic portraits, deathbed scenes, even retrospective pictures that suggested he was an active military leader". He told the BBC that the doctored image was probably created "when demand for images of the martyred Lincoln peaked". You may like The internet is furious over the Vanity Fair Trump cabinet portraits. But the photographer says the goal was “to reveal something more real” Jeff Wall's photographs are 'staged documentary', but is that ethically sound? This viral trend for passport photos says something profound about Gen Z The 1865 composite image, featuring Brady's 1864 photograph (Image credit: Library of Congress) While the President was famous for embracing photography as a means to cultivate his image, reportedly sitting for over 120 photos in his last 18 years, it is claimed that there was a lack of appropriately "heroic" images of him. Anthony Berger, who took the original 'Five Dollar Bill Portrait', worked for photojournalist Mathew Brady – a famed photographer who established a studio in Washington, DC. However, although he was renowned for his Civil War images, Brady was previously a painter – and was said by Dr Hany Farid to have "routinely doctored photographs to create more compelling images". According to BBC Culture, it was a printmaker named William Pate who carried out the work of compositing Lincoln's head onto Thomas Hicks' painting of Calhoun – along with editing the papers reading "Strict Constitution", "Free Trade" and "the Sovereignty of the States" to read "Constitution", "Union" and "Proclamation of Freedom" in the doctored version. So there you have it: 159 years before Meta started haphazardly accusing photos of being "Made with AI" , and 80 years before the first digital computer was even invented, people were doctoring and deepfaking images of celebrities. The original 1852 painting of Calhoun, by Thomas Hicks (Image credit: Library of Congress) If you prefer your portraiture to be real, rather than faked by whatever method, you might be interested in the best cameras for portraits , along with the best lenses for portraits . James Artaius Social Links Navigation Editor in Chief James has 25 years experience as a journalist, serving as the head of Digital Camera World for 7 of them. He started working in the photography industry in 2014, product testing and shooting ad campaigns for Olympus, as well as clients like Aston Martin Racing, Elinchrom and L'Oréal. An Olympus / OM System, Canon and Hasselblad shooter, he has a wealth of knowledge on cameras of all makes – and he loves instant cameras, too. Read more The internet is furious over the Vanity Fair Trump cabinet portraits. But the photographer says the goal was “to reveal something more real” Jeff Wall's photographs are 'staged documentary', but is that ethically sound? This viral trend for passport photos says something profound about Gen Z Using AI to animate my toy photography proved far more controversial than I thought! Adobe in 2025: The year that photography (and photographers) became raw material for brands ChatGPT Photoshopped this photo for me. The results aren’t at all what I was expecting… I’m a pro photographer and I tried ChatGPT’s new Photoshop integration Latest in Artificial Intelligence The internet is calling out Grok for “nudifying” photos. But it’s not even the first time X’s AI has been under fire for undressing photos Researchers let an AI generate thousands of images without human input. The lack of originality was “sobering for computational creativity”, with images only falling into 12 cliched styles Photographers saved 89 million hours – 12 work weeks each – using AI in 2025, study suggests Luma AI Ray3 Modify: This new AI works with real cameras and actors to reimagine scenes, instead of starting from text The 2025 Word of the Year has nothing to do with photography, and yet everything to do with photography. Let me explain AI was a key trend for 2025, but some of Adobe’s predictions for 2026 seem to focus on the one thing AI cannot do. I think this is the key to standing out as a creative in an AI world Latest in Features When did the retro camera trend start? (Spoiler: it's earlier than you think!) Here's a timeline of vintage-styled cameras The secret meaning behind the name Minolta (and how the camera brand evolved before disappearing forever) How will you fare in my photography general knowledge quiz? Snails could overtake Nikon’s new zoom lens, but I think I’m a fan If I were starting my Pro Sports Photography career again, I’d buy this 180-600mm lens - it's currently got $200 off and under $2,000 Is DJI banned in the US? Yes, but there’s some fine print. This is what the DJI "ban" really means LATEST ARTICLES 1 Researchers hacked a weird Franken-lens to a Canon EOS R10 to take photos with everything in focus – without computational photography 2 OWC launches the ultimate portable SSD 3 Meet the wildlife photographer buying up land in Africa to protect animal habitats, using money he makes with his camera 4 The secret meaning behind the name Minolta (and how the camera brand evolved before disappearing forever) 5 Meet the youthful, often shocking future of fine art photography at Circulation(s) 2026 Digital Camera World is part of Future US Inc, an international media group and leading digital publisher. Visit our corporate site . 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https://dev.to/voxel51/eccv-2024-redux-robust-calibration-of-large-vision-language-adapters-4g4m | ECCV 2024 Redux: Robust Calibration of Large Vision-Language Adapters - 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. 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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 Jimmy Guerrero for Voxel51 Posted on Nov 21, 2024 ECCV 2024 Redux: Robust Calibration of Large Vision-Language Adapters # computervision # machinelearning # datascience # ai We empirically demonstrate that popular CLIP adaptation approaches, such as Adapters, Prompt Learning, and Test-Time Adaptation, substantially degrade the calibration capabilities of the zero-shot baseline in the presence of distributional drift. We identify the increase in logit ranges as the underlying cause of miscalibration of CLIP adaptation methods, contrasting with previous work on calibrating fully-supervised models. Motivated by these observations, we present a simple and model-agnostic solution to mitigate miscalibration, by scaling the logit range of each sample to its zero-shot prediction logits ECCV 2024 Paper: Robust Calibration of Large Vision-Language Adapters About the Speaker: Balamurali Murugesan is currently pursuing his Ph.D. in developing reliable deep learning models. Earlier, he completed his master’s thesis on accelerating MRI reconstruction. He has published 25+ research articles in renowned venues. Recorded on Nov 19, 2024 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? 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Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Voxel51 Follow More from Voxel51 Elderly Action Recognition: No One Should Age Alone, AI’s Promise for the Next Generation of Elders # computervision # ai # machinelearning # datascience Journey into Visual AI: Exploring FiftyOne Together — Part IV Model Evaluation # computervision # machinelearning # ai # datascience How to Tame Your (Data) Dragon # computervision # ai # machinelearning # datascience 💎 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. 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https://aws.amazon.com/cloudwatch/ | Amazon Monitoring and Observability-Amazon CloudWatch - AWS Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Amazon CloudWatch Overview Features Pricing Getting Started FAQs More Products › Management and Governance › Amazon CloudWatch Amazon CloudWatch Observe and optimize your workloads at any scale Get started with CloudWatch Try for free Complete visibility, intelligent insights Monitor and optimize your entire technology stack with CloudWatch, an intelligent observability service that provides actionable insights across applications and infrastructure. Gain complete visibility into performance, availability, and security so you can resolve issues faster and improve system reliability. Troubleshoot issues efficiently using AWS operational expertise and scalability built into CloudWatch. Access fully-managed solutions enhanced with generative AI or integrate through OpenTelemetry with open-source compatibility – using the approach that works best for your environment. Learn more about new features » Play See everything in one place Get a unified view of your generative AI agents, applications, workloads, and the infrastructure that powers them. CloudWatch connects metrics, logs, and traces to help you quickly understand relationships, spot performance bottlenecks, and uncover hidden dependencies—without jumping between tools. Explore Application Performance Monitoring (APM) features Explore Generative AI Observability features Simplify operations Improve operational efficiency with built-in insights for databases, containers, and serverless such as Lambda—no need to build from scratch. CloudWatch also integrates with popular open-source monitoring and observability solutions like Prometheus and Grafana, plus it supports OpenTelemetry standards, giving you the flexibility to use the best approach for your needs. Explore Infrastructure Observability features Let AI help you Find and resolve issues with AI-powered CloudWatch investigations and Anomaly Detection. Ask questions in plain English to quickly search logs and metrics—natural language query transforms your questions into precise queries automatically. Connect your own agents directly to your CloudWatch data through Model Context Protocol (MCP) servers for integration with your existing AI workflows. Start troubleshooting from wherever you work. Explore AIOps features Troubleshoot smarter, not harder Get analytics and insights your way with flexible capabilities that deliver intelligence wherever you need it. Choose out-of-the-box dashboards, build custom queries with plain English or popular languages such as SQL, or access embedded insights that surface automatically within your workflow. Capabilities AIOps GenAI observability Complete visibility Open standards Multicloud Operate intelligently with AIOps Transform how you identify, investigate, and resolve operational issues with AIOps capabilities. Rapidly diagnose complex problems across your AWS environment using AI-powered root cause analysis through CloudWatch investigations, or create tailored workflows through supporting capabilities such as MCP servers and Strands Agent SDK . Navigate interconnected operational data using simple conversational questions. Surface critical patterns, interpret anomalies, and generate actionable summaries in seconds. Whether investigating performance degradation, analyzing trends, or responding to incidents, CloudWatch AIOps features can make it easy. 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https://dev.to/beck_moulton/private-fast-building-a-browser-based-dermatology-screener-with-webllm-and-webgpu-me8 | Private & Fast: Building a Browser-Based Dermatology Screener with WebLLM and WebGPU - 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 Beck_Moulton Posted on Jan 12 Private & Fast: Building a Browser-Based Dermatology Screener with WebLLM and WebGPU # privacy # ai # web # webdev In the world of health-tech, privacy is the ultimate feature . Nobody wants to upload sensitive photos of skin lesions to a mysterious cloud server just to get a preliminary health check. But what if we could bring the power of a Vision Transformer (ViT) directly to the user's browser? Today, we are diving deep into the world of Edge AI and WebGPU acceleration . We’ll build a "Dermatology Initial Screener" that runs entirely client-side. By leveraging WebLLM , TVM Unity , and Transformers.js , we can perform complex lesion analysis with zero data latency and 100% privacy. If you are interested in local inference , privacy-first AI , and the future of WebGPU-powered applications , you're in the right place! The Architecture: Privacy by Design The goal is simple: The user's photo never leaves their device. We use the browser's GPU to do the heavy lifting that used to require a Python backend with a massive NVIDIA card. graph TD A[User Image Input] --> B[HTML5 Canvas / Pre-processing] B --> C{WebGPU Support?} C -- Yes --> D[Transformers.js / WebLLM Engine] C -- No --> E[WASM Fallback/Error] D --> F[Local ViT Model / Vision-Language Model] F --> G[Classification & Reasoning] G --> H[Instant UI Feedback] style F fill:#f96,stroke:#333,stroke-width:2px style G fill:#bbf,stroke:#333,stroke-width:2px Enter fullscreen mode Exit fullscreen mode Tech Stack WebGPU : The next-gen API for high-performance graphics and computation. WebLLM : A high-performance in-browser LLM framework powered by TVM Unity . Transformers.js : To run vision models (like ViT or MobileNet) natively in JS. React/Vite : For a snappy frontend experience. Step 1: Initializing the WebGPU Environment Before we can run a model, we need to ensure the user's browser is ready for WebGPU . This is the secret sauce that makes in-browser AI run at near-native speeds. async function initWebGPU () { if ( ! navigator . gpu ) { throw new Error ( " WebGPU is not supported on this browser. Try Chrome Canary! " ); } const adapter = await navigator . gpu . requestAdapter (); const device = await adapter . requestDevice (); console . log ( " 🚀 WebGPU is ready to roar! " ); return device ; } Enter fullscreen mode Exit fullscreen mode Step 2: Loading the Vision Transformer (ViT) We’ll use Transformers.js to load a quantized version of a skin lesion classification model. By using a quantized model, we save on bandwidth while maintaining high accuracy. import { pipeline } from ' @xenova/transformers ' ; async function loadScreenerModel () { // We use a model fine-tuned on the HAM10000 dataset for skin lesions const classifier = await pipeline ( ' image-classification ' , ' Xenova/vit-base-patch16-224 ' , { device : ' webgpu ' , // Magic happens here! }); return classifier ; } Enter fullscreen mode Exit fullscreen mode Step 3: Local Reasoning with WebLLM While a ViT can classify an image, WebLLM (via TVM Unity) allows us to add a "reasoning" layer. We can feed the classification result into a local LLM to explain the findings in plain English—all without a server! import * as webllm from " @mlc-ai/web-llm " ; async function getLocalReasoning ( prediction ) { const engine = new webllm . MLCEngine (); await engine . reload ( " Llama-3-8B-Instruct-v0.1-q4f16_1-MLC " ); const prompt = `A skin scan detected a ${ prediction . label } with ${ prediction . score * 100 } % confidence. Provide a brief, non-diagnostic disclaimer and advice for a dermatologist visit.` ; const reply = await engine . chat . completions . create ({ messages : [{ role : " user " , content : prompt }] }); return reply . choices [ 0 ]. message . content ; } Enter fullscreen mode Exit fullscreen mode The "Official" Way to Build Edge AI While building a prototype is fun, scaling local AI to production requires a deeper understanding of memory management and model optimization. For more production-ready examples and advanced patterns regarding Edge AI and private data processing, I highly recommend checking out the WellAlly Official Blog . They provide excellent deep-dives into how to optimize TVM Unity pipelines for enterprise health applications, ensuring your local models are as lean as possible. Step 4: Putting it All Together (The UI) In your React component, you'd handle the image upload and trigger the pipeline. const analyzeSkin = async ( imageElement ) => { setLoading ( true ); try { const classifier = await loadScreenerModel (); const results = await classifier ( imageElement . src ); // Get the top result const topResult = results [ 0 ]; // Get local LLM reasoning const advice = await getLocalReasoning ( topResult ); setReport ({ analysis : topResult , advice }); } catch ( err ) { console . error ( " Inference failed " , err ); } finally { setLoading ( false ); } }; Enter fullscreen mode Exit fullscreen mode Why This Matters (The "So What?") Zero Latency : No waiting for a 5MB high-res photo to upload to a server in Virginia. Privacy : Medical data is sensitive. Processing it on-device is the gold standard for HIPAA-compliant-ish user experiences. Offline Capability : This tool could work in remote areas with zero internet after the initial model download. Conclusion The browser is no longer just a document viewer; it's a powerful execution environment for Edge AI . By combining WebGPU , WebLLM , and Transformers.js , we can create life-changing tools that respect user privacy by default. What do you think? Is the future of AI purely local, or will we always need the cloud for the "big" stuff? Let’s chat in the comments! 👇 Happy coding! If you enjoyed this "Learning in Public" journey, don't forget to ❤️ and bookmark! For more advanced AI architecture, visit wellally.tech/blog . 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 Beck_Moulton Follow Joined Aug 22, 2022 More from Beck_Moulton Beyond Image Labels: Estimating Food Portions and Calories using Grounding DINO + SAM # ai # fastapi # sam # webdev Stop Manually Booking Doctors: Build an Autonomous Health Agent with LangGraph & Playwright # ai # python # machinelearning # opensource The Ultimate AI Diet Agent: Syncing Real-Time Health Data with Local Supermarket Inventory using CrewAI # ai # python # opensource # machinelearning 💎 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 | 2026-01-13T08:49:34 |
https://opensource.org/blog/dpgas-annual-members-meeting-advancing-open-source-dpgs-for-the-public-good | DPGA’s Annual Members Meeting: Advancing Open Source & DPGs for the Public Good – 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 December 6, 2025 Events Nick Vidal DPGA’s Annual Members Meeting: Advancing Open Source & DPGs for the Public Good This past month, the Open Source Initiative (OSI) participated in the Digital Public Goods Alliance’s fourth Annual Members Meeting (AMM) in Brasília, an energizing gathering hosted in partnership with the Government of Brazil. The event marked the first AMM held in South America and brought together more than a hundred representatives from governments, multilateral organizations, NGOs, DPG product owners, and Open Source communities to align on the future of Digital Public Goods (DPGs) and Digital Public Infrastructure (DPIs). Representing OSI were Katie Steen-James , Senior US Policy Manager, and Nick Vidal , Community Manager, who spent the week engaging with partners, facilitating discussions, and strengthening global momentum for open, trustworthy, public-interest technology. Data Governance & Public Interest AI A highlight of OSI’s participation was co-organizing and facilitating the roundtable “Data Governance & Public Interest AI” , alongside GeoPrism Registry , being represented by Nathan McEachen. The session built on a year-long, multi-stakeholder process, including OSI’s Deep Dive: Data Governance and DPGA’s Collaborative Action on Open Data for Public Interest AI . Discussions explored six core challenges: Interoperability & technical barriers: Communities (particularly under-represented and under-resourced ones) face significant obstacles in accessing and deploying AI systems. Participants emphasized sandboxing environments to safely experiment, sector-specific interoperability strategies, and unified access points for users to simplify engagement. The discussion reinforced that reducing technical complexity is key to democratizing AI use and development at the local level. Cross-border collaboration amid geopolitics: The group examined how cultural norms, revenue models, and differing incentive structures shape international cooperation. They highlighted the importance of incentives related to climate change and other global challenges that transcend borders. Participants noted that political will varies widely, and collaboration must account for deep cultural and organizational differences. Balancing global ambition with geopolitical realities remains a central tension. AI’s environmental & climate impact: Conversations focused on energy consumption, the lack of transparency in AI-related emissions, and the difficulty of tracking environmental impacts without disclosure policies. Participants discussed pushing utilities for data center energy reporting. Hardware and software optimization, targeted AI use cases, and climate-resilience applications (such as landscape mapping and energy optimization) were highlighted as essential mitigation strategies. Bias, diversity & real-world harms: The group stressed that bias is multidimensional, emerging from data sources, problem prioritization, and entrenched resource allocation patterns. Technical tools to explore dataset biases, improved use of existing data, and broader inclusion in problem framing were identified as priorities. Participants also noted that development agencies and donors shape which solutions get built, often reinforcing inequities. Narratives and community needs shift over time, requiring adaptive governance approaches. Transparency, privacy & security tradeoffs: Participants explored competing definitions of transparency (from open data requirements to model openness) and how each interacts with privacy and security constraints. While open data can improve explainability and cross-border collaboration, it can also amplify bias or expose sensitive information. The group emphasized the role of Open Source security practices and collaborative approaches to identifying inherent biases. However, key questions remain about the performance impact of relying solely on open datasets. Openness, fair use, copyright & community compensation: This group grappled with the difficulty of attribution in AI-generated content and the imbalance in current commercial models, which reward aggregators over original data contributors. They raised concerns about the dominance of Global North datasets and how this shapes model behavior and cultural bias. While AI increases access to information, it also raises questions about copyright and equitable benefit-sharing. Proposed solutions included global legal frameworks, digital embassies to support data sovereignty, and the transparency advantages of open models. DPGA and the future ahead for DPGs and Open Source The DPGA’s Annual Members Meeting highlighted several priorities that resonate strongly with OSI’s mission, including promoting Open Source software, advancing public-interest AI, and strengthening global collaboration. The city of Brasilia and its beautiful architecture were born from the audacious belief that “50 years of progress could be achieved in just 5.” That same audacity now echoes through the DPGA’s 50-in-5 campaign , a call for 50 countries to accelerate decades of digital progress into 5 years. The conversations, commitments, and collaborations forged during this event carried the energy of a community ready to build something bigger than any one government or organization in isolation: an open, equitable, and resilient digital foundation for the world. Just as Brasília proved what is possible when courage meets collaboration, the DPGA community leaves this gathering ready to turn today’s aspirations into tomorrow’s shared Open Source future. Patents and Open Source: Understanding the Risks and Available Solutions Open Source Without Borders: Reflections from COSCon’25 Keep up with Open Source Please leave this field empty. 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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 Maria Artamonova for Red5 Posted on Nov 20, 2025 • Originally published at red5.net What Is A Codec? Everything You Need to Know As a Developer in 2025 # livestreaming # software # beginners # learning Live streaming basics (14 Part Series) 1 What Is A Codec? Everything You Need to Know As a Developer in 2025 2 Why Your Users Cannot Perceive Zero Latency: A Scientific Guide for Developers ... 10 more parts... 3 Video Streaming Delay: What Causes It and How to Fix It 4 What Is Transcoding? Essential Basics Every Developer Should Know 5 AV1 vs H.265: Codec Comparison Guide [2025 Updated] 6 What Is MOQ (Media over QUIC) and Why It Matters 7 MOQ vs WebRTC: Why Both Protocols Can And Should Exist In Live Streaming Space In 2025 8 AV1 vs H.264: Codec Comparison Guide [2025 Updated] 9 What is Ultra-Low Latency? Definition, Use Cases, and How to Achieve it [2025] 10 What is WebRTC? Definition, Use cases, How It Works [2025 Updated] 11 Debunking 9 Myths About WebRTC Scalability 12 WebRTC Architecture Explained: P2P vs SFU vs MCU vs XDN 13 How to Use RTSP Protocol in Browsers And Why Direct Integration Isn’t Possible 14 H.264 vs H.265 vs VP9: Which Codec Should You Use in 2026? If you have ever wondered what a codec is and why every device relies on it to play videos, music and images, this blog will walk you through everything you need to know. Learn what codecs are, how they work, why they are important, how codecs are categorized, and what the most common ones are in use today. What is a Codec? A codec is a hardware- or software-based process (or computer program) that compresses and decompresses digital media like video, audio or images so it can be stored, transmitted or played back efficiently. The term codec derives from the words coder and decoder. A codec enables raw media to be reduced in size for delivery or storage and then rebuilt for viewing or listening. Without codecs, virtually no modern streaming, downloads or interactive media would be feasible given the massive volumes of data involved. Why Do We Need Codecs The storage and transmission demands of digital media are enormous. For example, photos, videos and music now occupy the majority of space on people’s phones and laptops. Because of this, codecs are necessary for these reasons: Reduced bandwidth usage: Smaller compressed files consume less network data and enable smoother streaming. Lower storage cost and footprint: Compression allows large media libraries to sit on servers or devices at manageable cost. In a global research study by Western Digital and Researchscape announced in March 2025, 60% of respondents reported they had run out of storage space in the past six months. Faster load times and better user experience: Smaller media files begin playback sooner and use fewer resources. Feasibility of real-time and interactive media: Live streaming, video conferencing and interactive apps rely on codecs optimized for encoding/decompression. Cross-device compatibility and scalability: Standardized codecs ensure media works across phones, browsers, tablets and TVs. How Codecs Work Codecs compress and send media files over a network, where they are decompressed. Source: TechTarget . A codec uses a defined algorithm to convert raw media into a compressed form and later revert it during playback. This process can be described in terms of encapsulation and decapsulation. During encoding the algorithm analyzes the input media, identifies redundant, predictable or perceptually less important data, then converts it into a compact bitstream. This bitstream is encapsulated along with metadata or headers that describe how to decode it. At playback the decoder takes the compressed bitstream, uses the metadata and reconstructed algorithm instructions to decapsulate and rebuild the media for output – this is the decapsulation stage. In video this may involve converting motion compensated blocks, interpolated frames and texture data back into a displayable format. In audio the algorithm may reconstruct waveform samples or frequency domains. While doing this the codec also often supports settings such as key frames, reference frames, intra/inter-frame compression (in video), and variable bitrate versus constant bitrate encoding. The effective compression depends on the algorithm’s sophistication, the amount of redundancy removed, and the quality trade-offs allowed. Hardware acceleration further enables these steps to be executed efficiently on devices with limited CPU resources. In effect, the codec transforms bulky raw media into efficient forms and then restores them for end user consumption with minimal perceptible quality loss. Types of Codecs Codecs can be categorized by several dimensions: By file type: Video, audio, or image. By compression type: Lossy codecs sacrifice some data permanently in exchange for high compression (for example many video and audio streaming codecs). Lossless codecs preserve all input data and allow perfect reconstruction (for example FLAC for audio or PNG for images). By generation / standard age: Legacy standards refer to older, widely implemented codecs (for example MP3 for audio, JPEG for images, H.264 for video). Next-generation codecs refer to newer standards that deliver improved efficiency, higher resolution support, or lower latency (for example AV1 for video, AVIF for images). By licensing model: Open-source / royalty-free codecs are available without costly patents or usage fees (for example VP9, AV1). Proprietary / patent-licensed codecs require licensing and may be subject to royalties (for example H.265/HEVC, some high-end image codecs). There are also deeper categories based on hardware compatibility, target use cases, or encoding profiles. For this blog, we will categorize codecs by file type. Commonly Used Video, Audio, and Image Codecs Many codecs exist, but only a select group dominate modern streaming, broadcasting , video conferencing, and online media delivery. Below is an overview of the most widely used codecs across video, audio, and images today. Video Codecs A video codec is a software or hardware process that compresses or decompresses digital video. Video codecs are employed to reduce the size of video media to take-up less storage when archived and lower bitrates to stream; both yielding cost savings. When you watch a video online, the codec compresses it for sending and then decompresses it for viewing. Codecs are used in streaming, video calls, and everyday video playback. Here’s the list of the most popular video codecs h.264 (AVC) H.264 also called MPEG-4 AVC or Advanced Video Coding – is a block oriented motion compensation-based video compression codec. It is a standard capable of providing good video quality at substantially lower bit rates than previous standards. It can be implemented in a wide variety of networks and systems and is usable with many protocols. Read more in the streaming glossary of our documentation . Read our blogs to learn how H.264 compares to H.265 and VP9 , or how H.264 compares to AV1 in encoding quality, CPU consumption, browser support, licensing, bandwidth savings, and supported streaming protocols. h.265 (HEVC) H.265 codec , also called High Efficiency Video Coding or HEVC for short, is a video compression standard designed as the successor to H.264 (AVC). It roughly doubles the compression efficiency compared to H.264, allowing equivalent video quality at about half the bitrate, or significantly improved quality at the same bitrate. HEVC supports resolutions up to 8K (8192×4320), higher frame rates, wider color gamuts, and high dynamic range (HDR) content, making it well-suited for modern streaming, broadcasting, and storage applications. Learn how it works , or how it compares to H.264 and VP9 , or AV1 from our other blogs. VP8 VP8 codec is a royalty-free video compression standard that enables efficient delivery of high-quality video while minimizing bandwidth requirements. It is widely used in modern streaming and real-time video applications because it provides a good balance between compression efficiency and playback performance. You can learn how it compares to VP9 and AV1 here. VP9 VP9 codec is a royalty-free, open-source video coding standard developed by Google. It emerged as a free competitor to closed-source codecs like H.265. It was designed to meet the demands of modern video content and significantly improve coding efficiency over its predecessor, VP8. Learn how it compares to other video codecs in our blog “ VP9 vs VP8 vs AV1 ”. AV1 AV1 codec is a next-generation, royalty-free video compression standard developed by the Alliance for Open Media (AOMedia). It was designed to deliver significantly better compression efficiency than older codecs like VP9 and H.264 also called AVC, while maintaining high video quality across a wide range of resolutions and devices. AV1 reduces bandwidth consumption, making it ideal for modern streaming platforms, 4K and 8K video, and emerging immersive applications such as VR and AR. To learn how the AV1 codec compares to H.264 , or how AV1 compares to H.265 , AV1 compares to VP9 and VP8 , read our other blogs. AV2 The Alliance for Open Media announced that AV2 will launch by the end of 2025. AV2 is expected to bring further compression improvements over AV1 and support for ultra-high resolution and next-generation use cases. Additional formats/containers to note: While not strictly “video codecs,” formats like MOV and MP4 are widely used containers that hold compressed video streams, often using codecs above. MOV is a legacy container developed by Apple , while MP4 is an ISO standard container widely used for streaming and playback across devices. Audio Codecs An audio codec is a hardware or software process that compresses and decompresses digital audio so it can be streamed, stored, or transmitted efficiently. Audio codecs analyze the audio signal, remove redundant or less perceptible components, and optimize sound quality and file size for playback across devices and networks. Here are common audio codecs: MP3 MP3 is a classic lossy audio codec that dramatically reduced file sizes and enabled digital music distribution. Although newer codecs perform better, MP3 remains nearly universally supported. AAC Advanced Audio Coding is a popular audio codec providing better quality than older standards like MP3 at similar bitrates. It is used widely in streaming services, mobile devices and video playback. Opus Opus audio codec is a royalty-free audio codec designed for both speech and music. It adapts to bandwidth changes, handles low latency well, and is widely used in real-time applications. FLAC Free Lossless Audio Codec is a lossless audio codec that preserves the original sound fully. It is popular for archiving, audiophile playback and professional use. PCM Pulse Code Modulation is an uncompressed audio format often used in professional recording, telephony and broadcasting. It requires large storage but delivers highest fidelity. ALAC Apple Lossless Audio Codec is lossless audio codec developed by Apple that allows full fidelity audio reproduction without any data loss, making it suitable for high-quality music playback and archiving. WMA Windows Media Audio is proprietary audio codec developed by Microsoft used for both lossy and lossless compression in the Windows ecosystem, often seen in Windows-based streaming and media applications. Image Codecs Image codecs handle compression and decompression for still images. They enable faster page load times, more manageable file sizes, and efficient storage of image archives. Unlike video or audio, which involves temporal changes, image codecs focus exclusively on spatial compression (i.e., the content of one frame). Key image codecs include: JPEG JPEG is the most common image codec on the internet. It uses lossy compression to reduce file size while maintaining acceptable visual quality, particularly for photographs. PNG PNG is a lossless image codec that supports transparency and high-quality graphics. It is commonly used for logos, UI elements, screenshots, and images requiring sharp detail. WebP WebP is a modern image codec developed by Google that supports both lossy and lossless compression. It provides smaller file sizes than JPEG and PNG for equivalent quality and is popular in web performance optimization. AVIF AVIF is a newer image codec based on the AV1 video format. It offers excellent compression efficiency and supports advanced features like HDR and wide color gamuts. AVIF files are often much smaller than JPEG or WebP for the same quality. HEIC High Efficiency Image Coding was developed by MPEG/ISO as a modern image container/codec format to store still images and sequences more efficiently than older formats such as JPEG. It supports advanced features like higher bit depths, wide colour gamuts and image sequences, and typically delivers smaller file sizes for equivalent visual quality compared to legacy image codecs. GIF An older codec that supports simple animations. It uses limited color palettes and is less efficient than modern alternatives but remains popular for short animated loops and memes. What Codecs Does Red5 Use? As a live streaming solutions and infrastructure provider, Red5 supports h.264 (AVC), h.265 (HEVC), VP8, VP9 video codecs and Opus audio codec. AV1 codec support in Red5 Pro and Red5 Cloud is coming early 2026. Get in touch with us today to join the waitlist and be among the first to try it. Conclusion What is a codec is a question that underpins how our devices store and stream media, how we share videos and images, and how we listen to audio in everyday life. This blog has provided a thorough, in-depth explanation of codecs. With this foundation, you are better equipped to understand media formats, make informed decisions about technology workflows, and keep pace with the evolving landscape of digital media delivery. Live streaming basics (14 Part Series) 1 What Is A Codec? Everything You Need to Know As a Developer in 2025 2 Why Your Users Cannot Perceive Zero Latency: A Scientific Guide for Developers ... 10 more parts... 3 Video Streaming Delay: What Causes It and How to Fix It 4 What Is Transcoding? Essential Basics Every Developer Should Know 5 AV1 vs H.265: Codec Comparison Guide [2025 Updated] 6 What Is MOQ (Media over QUIC) and Why It Matters 7 MOQ vs WebRTC: Why Both Protocols Can And Should Exist In Live Streaming Space In 2025 8 AV1 vs H.264: Codec Comparison Guide [2025 Updated] 9 What is Ultra-Low Latency? Definition, Use Cases, and How to Achieve it [2025] 10 What is WebRTC? Definition, Use cases, How It Works [2025 Updated] 11 Debunking 9 Myths About WebRTC Scalability 12 WebRTC Architecture Explained: P2P vs SFU vs MCU vs XDN 13 How to Use RTSP Protocol in Browsers And Why Direct Integration Isn’t Possible 14 H.264 vs H.265 vs VP9: Which Codec Should You Use in 2026? 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? 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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 @om_shree_0709 Skills/Languages Full-Stack Dev Currently learning Full-Stack Dev Available for MCP Blog Author, Open-Source Contributor, Full-Stack Dev Post 9 posts published Comment 330 comments written Tag 0 tags followed 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 Want to connect with Om Shree? Create an account to connect with Om Shree. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in 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 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 Code Catastrophe Chronicles: A Byte-Sized Saga for the Terminally Tangled Om Shree Om Shree Om Shree Follow Oct 25 '25 Code Catastrophe Chronicles: A Byte-Sized Saga for the Terminally Tangled # discuss # devs # meems # shitpost 22 reactions Comments 3 comments 4 min read Laughing Through the Code: Dev's Guide to October 19's Tech Qwirks Om Shree Om Shree Om Shree Follow Oct 19 '25 Laughing Through the Code: Dev's Guide to October 19's Tech Qwirks # news # memes # shitposts # devs 17 reactions Comments Add Comment 5 min read Meme War and Existential Dread: What Developers Are Talking About on October 13, 2025 Om Shree Om Shree Om Shree Follow Oct 13 '25 Meme War and Existential Dread: What Developers Are Talking About on October 13, 2025 # news # memes # shitposts # devs 18 reactions Comments Add Comment 3 min read Mid-October 2025 Dumb Dev Roundup: Memes, Shitposts, and Dev Life Laughs Om Shree Om Shree Om Shree Follow Oct 12 '25 Mid-October 2025 Dumb Dev Roundup: Memes, Shitposts, and Dev Life Laughs # news # memes # shitposts # dev 21 reactions Comments 4 comments 4 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 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. 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https://www.fine.dev/blog/ai-tools-for-programmers#3-replit-ai | AI for Programmers: Top Tools to Supercharge Your Development Workflow Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI for Programmers: Top Tools to Supercharge Your Development Workflow AI is reshaping how programmers work, making it easier to handle repetitive tasks, boost productivity, and improve efficiency. This blog will guide you through some of the best AI tools for programmers available today, tailored to help you code faster, debug smarter, and collaborate effectively. Whether you're a beginner or an experienced developer, these platforms can make a real difference in your workflow. Let's get started with Fine. Table of Contents Fine Cursor Replit AI Bolt.new Devin Aider bloop Callstack PR Reviewer OpenHands Zencoder 1. Fine (AI for programmers) Fine is a comprehensive AI-powered software development platform designed to make coding seamless and efficient. By integrating AI Agents , Fine enables programmers to automate repetitive tasks like generating boilerplate code, updating schemas, and managing APIs. Its AI Sandboxing feature allows users to build, run, and test AI-generated code directly in a secure browser-based environment. It's fully mobile friendly and offers powerful integrations with GitHub, Linear and Slack - allowing for full context awareness and maximum collaboration. Highlights: AI Palette for real-time assistance. Integration with GitHub and Linear for end-to-end project management. Specs-driven development ensures alignment with project goals. Fine is designed to empower developers, allowing them to focus on innovation while leaving routine tasks to AI. At just $13-15 per month, it's a deal for any startup looking to save time and ship more. 2. Cursor Cursor offers an AI-powered code editor built on Visual Studio Code (VS Code). It includes features like Cursor Tab for intelligent auto-completion and Chat Integration for codebase-aware interactions. Cursor’s functionality is limited beyond code generation and debugging, and it requires significant configuration for advanced team collaboration. 3. Replit AI Replit AI provides integrated AI capabilities for its cloud-based IDE. It offers code completion, bug fixes, and code generation. Replit AI is heavily tied to its ecosystem and is more suited to beginner-to-intermediate developers than advanced users. 4. Bolt.new (AI for web developers) Bolt.new is an AI agent for web development, allowing developers to build, run, and deploy full-stack applications directly in the browser. Currently in beta, Bolt.new offers limited stability and focuses solely on web development, making it less versatile for other programming needs. 5. Devin Devin by Cognition is an autonomous AI software engineer designed to execute complex engineering tasks. Still in early access, Devin is focused on specific use cases and is less reliable for general-purpose programming. 6. Aider Aider is an open-source AI pair programming tool that integrates with Git repositories for local coding assistance. It requires API keys and setup for AI model integration and is limited to terminal-based interaction, which may not suit all developers. Fine includes unlimited access to leading LLMs such as o1-preview and Claude 3-5 Sonnet, with no need for your own API keys. 7. bloop Bloop specializes in modernizing legacy codebases, particularly COBOL. It offers tools for translating legacy code into modern languages. Bloop is highly specialized for legacy code modernization and offers limited functionality for general-purpose programming. 8. Callstack PR Reviewer This tool automates code reviews, identifying bugs and enforcing coding standards in GitHub and GitLab. Callstack PR Reviewer focuses on pull request reviews and lacks features for standalone development tasks. 9. OpenHands OpenHands provides a zero-setup AI coding experience within a cloud-based Visual Studio Code environment. Dependence on cloud infrastructure may not suit developers working offline or in secure environments, and its focus is limited to AI coding assistance. 10. Zencoder Zencoder uses AI agents to enhance coding workflows, with a focus on syntactic and semantic code analysis. Zencoder primarily supports iterative improvements and lacks versatility for new project creation or diverse programming needs. Why Fine Stands Out as an AI tool for Programmers While each platform offers unique advantages, Fine delivers the most comprehensive AI solution for programmers of all skill levels. Its integration of AI Agents, Sandboxing, and seamless collaboration tools makes it a one-stop shop for development teams. Unlike other platforms, Fine doesn’t compromise on versatility, supporting everything from boilerplate code generation to full project management. Ready to transform your workflow? Sign up for Fine today and experience the best in AI for programmers . The source of information for each platform has been provided in a link. Information was collected on 20.11.24 and may be incorrect, incomplete or out-of-date. 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 | 2026-01-13T08:49:34 |
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https://dev.to/leon0824/odoo-an-zhuang-5hmc | Odoo 安裝 - 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 Leon Posted on May 1, 2022 • Originally published at editor.leonh.space Odoo 安裝 # odoo Odoo 是企業用的商業套件，主要是 ERP，不過除了庫存、帳務控制外，也包了很多很多的模組，也可以自行擴展，又是 open source 的。 利用這段長假花點時間開始研究研究。從安裝開始，安裝主要是參考官方文件 Installing Odoo，採用 DEB 的模式安裝。 Odoo 需要搭配 PostgreSQL 使用，先把 PostgreSQL 裝起來： > sudo apt install postgresql Enter fullscreen mode Exit fullscreen mode 輸出 PDF 則是靠 wkhtmltopd，也裝起來： > sudo apt install wkhtmltopdf Enter fullscreen mode Exit fullscreen mode 開始加 Odoo APT repository： > wget -O - https://nightly.odoo.com/odoo.key | sudo apt-key add - > echo "deb http://nightly.odoo.com/12.0/nightly/deb/ ./" >> /etc/apt/sources.list.d/odoo.list > sudo apt update > sudo apt install odoo Enter fullscreen mode Exit fullscreen mode 以上跑完，確認一下服務有沒有跑起來： > sudo service --status-all Enter fullscreen mode Exit fullscreen mode 應該會看到 [ + ] odoo 和 [ + ] postgresql 。 註記一下安裝多了或動了哪些檔案或目錄： /etc/init.d/odoo /etc/logrotate.d/odoo /etc/odoo /lib/systemd/system/odoo.service /usr/bin/odoo /usr/lib/python3/dist-packages/odoo /usr/share/doc/odoo 瀏覽器開到 http://localhost:8069 就可以看到初次啟動的設定頁面了，自由發揮填一下，等它跑完就會自動進入主畫面，安裝完畢。 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 Leon Follow Joined Aug 12, 2018 Trending on DEV Community Hot I Am 38, I Am a Nurse, and I Have Always Wanted to Learn Coding # career # learning # beginners # coding Top 7 Featured DEV Posts of the Week # top7 # discuss I Didn’t “Become” a Senior Developer. I Accumulated Damage. # programming # ai # career # 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 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 | 2026-01-13T08:49:34 |
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https://www.fine.dev/blog/common-python-errors#error-4-keyerrors | Most Common Python Errors When Using AI Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Most Common Python Errors When Using AI Introduction Python is a favorite among backend developers, particularly in the fast-paced world of startups where flexibility and speed are key. But let’s be honest—Python’s simplicity can sometimes be deceiving, and even the most seasoned developers can find ourselves pulling our hair out trying to understand why the code doesn’t work. In this article, we’ll dive into the top 10 Python errors that backend developers frequently encounter, especially in smaller startup teams. We’ll explain why these errors happen and provide tips on how to avoid them. We’ll also look at whether the common AI tools are likely to make the errors or can help you spot and fix them. Table of Contents Introduction Error 1: TypeErrors Error 2: NameErrors Error 3: IndexErrors Error 4: KeyErrors Error 5: ImportErrors A Recurring Theme in the Python Errors AI Makes How Fine Can Help You Avoid These Errors Conclusion Error 1: TypeErrors TypeErrors occur when you try to perform an operation on incompatible data types, like trying to add a string to an integer. It’s the programming equivalent of mixing oil and water—not going to happen. Python is dynamically typed, meaning variables don’t have fixed types, but this flexibility can sometimes lead to unexpected type mismatches. How to Avoid: Always check the data types you’re working with, and consider using type hints in your function definitions to ensure compatibility. AI models might try to perform operations on incompatible types or fail to include necessary type conversions. Fine will test to make sure there are no TypeErrors and fix any that occur. Fine’s PR review feature also identifies TypeErrors in GitHub PRs that human developers have written, ensuring that they don’t make it into production. Error 2: NameErrors (Shock horror, they’re back) No serious Python developer goes around making NameErrors anymore, right? Well, here’s the thing. ChatGPT and other AI coding tools make NameErrors all the time. They can’t help it. They don’t know what you’ve named things in your code, so they have to make a logical guess or use a placeholder - which will usually be wrong. Even the best models, such as o1 and Claude Sonnet 3.5, are helpless here. In fact, many people accuse AI of “hallucinating”, when really they’re referring to a simple NameError, where the AI isn’t to blame. Whilst simple to fix (in theory), this is quite a pain and every developer should have their eyes open for NameErrors (and indentation issues also - remember those?) when using AI coding tools that don’t have full context awareness. Fine is the AI coding tool to choose to avoid these errors. Because it indexes your repositories and issues, the AI can identify the correct names in your codebase and save you hours of debugging. Error 3: IndexErrors IndexErrors arise when you try to access an index that doesn’t exist in a list. Imagine trying to grab the fifth apple from a basket that only has four—you’re bound to run into trouble. This often happens due to off-by-one errors, where the index is either too high or too low. If you’re not familiar with how python’s range works or how slicing works, it’s a good idea to sharpen up on it to avoid index errors. How to Avoid: Double-check your list boundaries and validate your input data. Fine can highlight potential IndexErrors, helping you avoid those pesky off-by-one mistakes. This is particularly useful in scenarios where your code dynamically generates or manipulates lists, which can lead to unpredictable indexing issues. Error 4: KeyErrors KeyErrors happen when you try to access a dictionary key that isn’t present. It’s like asking for the keys to a car that you don’t own—not going to get far! How to Avoid: Use the .get() method or check for key existence before access. Fine can help by suggesting safe dictionary access patterns, reducing the risk of a KeyError. Error 5: ImportErrors ImportErrors happen when a module isn’t imported correctly, either because it’s missing, you’ve made a typo in the import path, or you’ve created a circular import. These errors are common when managing dependencies across different environments. Imagine - File A tries to import File B, which tries to import File A. How to Avoid: Ensure your modules are properly installed and avoid overly complex import chains. Fine’s AI can track your imports and warn you about potential issues, making it easier to manage your dependencies. A Recurring Theme in the Python Errors AI Makes NameErrors, ImportErrors, AttributeErrors, KeyErrors - AI will keep making these mistakes as long as it doesn’t have the full context of your codebase. It’s like if I were to ask you to write code for my platform, but without showing you my existing repo. How would you know what to refer to? How Fine Can Help You Avoid These Errors Fine is designed to be your coding companion, catching these common Python errors before they can trip you up. Using advanced AI algorithms, Fine provides real-time feedback, highlights potential issues, and offers tailored suggestions to keep your code clean and error-free. Whether you’re dealing with indentation issues, NameErrors, or TypeErrors, Fine acts as your second pair of eyes, ensuring that your development process remains smooth and efficient. With Fine integrated into your workflow, you can focus on what really matters—building great software. Conclusion Python errors can be a major headache, especially in a startup environment where every line of code counts. By understanding these common errors and how to avoid them, you can write cleaner, more reliable code. And with Fine by your side, you’ll catch and fix these errors effortlessly, keeping your projects on track and your sanity intact. Be careful of code generators that aren’t aware of your existing codebase, such as ChatGPT and GitHub Copilot—they’re more likely to make simple Python mistakes. Ready to take your Python development to the next level? Try Fine today with our free trial and see how our AI-powered coding assistant can help you write error-free code faster. Sign up now, or schedule a demo to discover how Fine can integrate seamlessly into your workflow and boost your team's productivity. Don’t let simple errors slow you down—let Fine handle the details so you can focus on building great software. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/moving-towards-natural-language-coding#pricing | Moving Towards Natural Language Coding: Analyzing GitHub's Copilot, Copilot Workspace, and Fine. Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Moving Towards Natural Language Coding: Analyzing GitHub's Copilot, Copilot Workspace, and Fine. The transition from traditional coding methods to AI-assisted platforms marks a significant leap forward in software engineering. Tools like GitHub Copilot and Copilot Workspace are pioneering a new era where artificial intelligence collaborates with developers to streamline the coding process. GitHub's Copilot vs. Copilot Workspace: GitHub Copilot stands as a trailblazer in the field of AI-assisted development. It offers developers support by providing coding suggestions and completing lines of code based on natural language prompts. While it has proven invaluable in enhancing coding efficiency, Copilot does have its limitations, primarily focused on line-by-line assistance. Enter Copilot Workspace, a revolutionary development in AI-assisted coding. Unlike its predecessor, Copilot Workspace is not just a code completion tool; it's a reimagined developer “inner loop”. In the simplest way - it lets developers focus on task selection, expressing intent, and collaboration with AI to find solutions, practically functioning as another team member. Drawing a clear distinction between GitHub Copilot and Copilot Workspace is crucial. While Copilot excels at line-by-line coding assistance, Copilot Workspace takes a leap forward, providing a more comprehensive approach to task completion. It's a significant evolution towards full-task AI assistance, demonstrating the potential of AI in handling complex development tasks beyond simple code suggestions. The Natural Language Coding Paradigm The shift towards Natural Language Coding is more than a technological evolution; it represents a fundamental change in how developers interact with their tools. The concept of AI agents collaborating seamlessly with human developers is becoming a reality, reshaping the landscape of software development. Copilot Workspace embodies this paradigm shift, showcasing the importance of AI in making coding a more intuitive and collaborative process. Why Fine Excels in the Natural Language Coding Era Fine is in the forefront of this Natural Language Coding paradigm, a company dedicated to building AI agents with extensive task completion capabilities. Fine excels in harnessing the power of AI to assist developers in complex tasks, offering innovative features that redefine the coding experience: Seamless Team Integration: Fine's AI agents seamlessly join your development team, handling repository-wide tasks, allowing your team to focus on innovation. Automation of Mundane and Complex Tasks: Fine's AI agents automate both routine and intricate development tasks, working iteratively with your existing tools to maximize code quality. Custom-Built for Your Project: Every Fine AI agent is customized to your coding standards, project requirements, and team preferences, ensuring adaptability to your exact needs. Understanding Business Requirements: Fine's AI agents go beyond code generation, comprehending business requirements to analyze the entire codebase, create plans, and generate code and tests. Continuous Learning and Adaptation: Fine's AI agents learn and adapt with every edit, understanding your coding style, formatting, and templates, evolving with your codebase like a human collaborator. As we transition into the Natural Language Coding era, the transformative potential of using AI more fully in software development becomes evident. Tools like Copilot Workspace and companies like Fine are leading the way, demonstrating the collaborative synergy between human developers and AI agents. The importance of this transition cannot be overstated—it marks a significant milestone in making coding more intuitive, efficient, and collaborative, setting the stage for the future of software development. Book a meeting with us today to learn more. 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 | 2026-01-13T08:49:34 |
https://dev.to/voronovskiy/welcome-to-solcial-web3-social-media-network-on-solana-234h | Welcome to Solcial (Web3 Social Media Network on Solana) - 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 Vadim Voronovskiy Posted on Mar 13, 2023 • Edited on Apr 14, 2023 Welcome to Solcial (Web3 Social Media Network on Solana) # web3 # blockchain # socialmedia # solana Original video: https://www.youtube.com/watch?v=Xy_HkT2l19Y&t=1s Visit Website: https://solcial.io 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 Vadim Voronovskiy Follow My name is Vadim. I am from Solcial team. I am working with our community and doing marketing. I also have a big experience in off-site SEO, especially Linkbuilding I am an AI and Web3 Enthusiast. Work Community Lead/Marketing Specialist/Linkbuilding in Solcial Joined Aug 26, 2021 More from Vadim Voronovskiy chatGPT integration on Solcial.io # ai # socialmedia # blockchain # network Solcial.io integrated content posting on Solana Blockchain # solana # blockchain # socialmedia # web3 What is Solcial # socialmedia # web3 # blockchain # socialnetwork 💎 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 | 2026-01-13T08:49:34 |
https://dev.to/maria-artamonova | Maria Artamonova - 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. 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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 Maria Artamonova I’m a passionate and results-oriented Product Marketing Specialist with specialized expertise in the live streaming industry. Location Georgia, Tbilisi Joined Joined on Aug 12, 2025 Personal website https://www.linkedin.com/in/mariaartamonova/ Pronouns She/Her Work Red5 More info about @maria-artamonova 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 Organizations Red5 Skills/Languages Open-source Red5 media server, Red5 Pro, Red5 Cloud, and SDKs. Currently learning Learning more about streaming protocols and codes. Currently hacking on Red5 Pro and Red5 Cloud Available for I'm available for content collaboration about live streaming. Post 16 posts published Comment 0 comments written Tag 0 tags followed H.264 vs H.265 vs VP9: Which Codec Should You Use in 2026? Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Jan 9 H.264 vs H.265 vs VP9: Which Codec Should You Use in 2026? # livestreaming # software # learning # beginners Comments Add Comment 20 min read How to Use RTSP Protocol in Browsers And Why Direct Integration Isn’t Possible Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Jan 6 How to Use RTSP Protocol in Browsers And Why Direct Integration Isn’t Possible # livestreaming # software # learning # beginners Comments Add Comment 8 min read WebRTC Architecture Explained: P2P vs SFU vs MCU vs XDN Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Jan 5 WebRTC Architecture Explained: P2P vs SFU vs MCU vs XDN # livestreaming # webrtc # architecture Comments Add Comment 9 min read Debunking 9 Myths About WebRTC Scalability Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Jan 2 Debunking 9 Myths About WebRTC Scalability # livestreaming # software # learning # beginners Comments Add Comment 11 min read What is WebRTC? Definition, Use cases, How It Works [2025 Updated] Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 23 '25 What is WebRTC? Definition, Use cases, How It Works [2025 Updated] # livestreaming # software # learning # webrtc Comments Add Comment 20 min read What is Ultra-Low Latency? Definition, Use Cases, and How to Achieve it [2025] Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 18 '25 What is Ultra-Low Latency? Definition, Use Cases, and How to Achieve it [2025] # livestreaming # software # learning # beginners Comments Add Comment 21 min read AV1 vs H.264: Codec Comparison Guide [2025 Updated] Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 15 '25 AV1 vs H.264: Codec Comparison Guide [2025 Updated] # livestreaming # software # av1 # h264 Comments Add Comment 10 min read MOQ vs WebRTC: Why Both Protocols Can And Should Exist In Live Streaming Space In 2025 Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 12 '25 MOQ vs WebRTC: Why Both Protocols Can And Should Exist In Live Streaming Space In 2025 # livestreaming # software # moq # webrtc Comments 2 comments 6 min read What Is MOQ (Media over QUIC) and Why It Matters Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 11 '25 What Is MOQ (Media over QUIC) and Why It Matters # livestreaming # software # learning # beginners Comments Add Comment 7 min read AV1 vs H.265: Codec Comparison Guide [2025 Updated] Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 10 '25 AV1 vs H.265: Codec Comparison Guide [2025 Updated] # livestreaming # codec # av1 # h265 Comments Add Comment 9 min read What Is Transcoding? Essential Basics Every Developer Should Know Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 10 '25 What Is Transcoding? Essential Basics Every Developer Should Know # livestreaming # software # learning # transcoding Comments Add Comment 10 min read Video Streaming Delay: What Causes It and How to Fix It Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 5 '25 Video Streaming Delay: What Causes It and How to Fix It # livestreaming # software # learning # beginners Comments Add Comment 8 min read Why Your Users Cannot Perceive Zero Latency: A Scientific Guide for Developers Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Dec 1 '25 Why Your Users Cannot Perceive Zero Latency: A Scientific Guide for Developers # livestreaming # software # learning # beginners Comments Add Comment 7 min read What Is A Codec? Everything You Need to Know As a Developer in 2025 Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Nov 20 '25 What Is A Codec? Everything You Need to Know As a Developer in 2025 # livestreaming # software # beginners # learning Comments Add Comment 9 min read What is RTMP and How Does It Work? Streaming Protocol Guide 2025 Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Aug 13 '25 What is RTMP and How Does It Work? Streaming Protocol Guide 2025 # livestreaming # rtmp # beginners # softwaredevelopment Comments Add Comment 11 min read What’s New in Red5 Cloud v1.10.0? Stream 50 GB Monthly For Free Without Credit Card, Map Dashboard, Bandwidth & Usage Tool Maria Artamonova Maria Artamonova Maria Artamonova Follow for Red5 Aug 12 '25 What’s New in Red5 Cloud v1.10.0? Stream 50 GB Monthly For Free Without Credit Card, Map Dashboard, Bandwidth & Usage Tool # livestreaming # tooling # resources # cloud Comments Add Comment 5 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. 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https://dev.to/vbboi24/solving-a-200-billion-market-problem-with-kiro-b42 | Solving a $ 200 Billion Market Problem with Kiro - 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 Vbboi24 Posted on Dec 5, 2025 Solving a $ 200 Billion Market Problem with Kiro # webdev # programming # ai # kiro 🎯 The $50 Million Problem "We have 40 years of ABAP code running our supply chain. The people who wrote it are retired. The documentation doesn't exist. Every consultant wants $50 million and 3 years to modernize it. And there's no guarantee it won't break everything." That's what one of the CIOs told me over coffee. He wasn't alone - 25,000 Fortune 500 companies face this exact nightmare. Legacy ABAP code from the 1980s, cryptic and undocumented, haunting their data centers. A $200 billion problem with no good solution. When I saw the https://kiro.devpost.com with the Resurrection category, it clicked: What if we could literally bring dead code back to life? Two weeks later, I built Resurrection Platform - an open-source alternative to SAP's proprietary Legacy AI. It transforms 40-year-old ABAP into modern SAP CAP applications in 3 minutes instead of 3 years. This is the story of how Kiro AI became my senior engineering partner and helped me build something that would have taken 6 months solo. 🧟 The Frankenstein Twist As I started building, I realized something extraordinary: I was stitching together 50 years of incompatible technologies. ABAP from 1983 (mainframe, procedural) SAP CAP from 2020 (cloud-native, event-driven) Fiori UI5 from 2024 (modern web) GPT-4 from 2024 (AI intelligence) These technologies were never meant to work together. Different paradigms, different runtimes, different eras. That's when I realized this wasn't just Resurrection - it was Frankenstein too. Building a chimera that somehow... lives. And the "stitches" holding it together? Model Context Protocol (MCP). 🤖 Kiro as Strategic Partner, Not Code Generator Here's what I learned early: Don't treat Kiro like GitHub Copilot. My old approach: Me: "Build a function to parse ABAP code" Kiro: generates basic parser Me: "Add error handling" Kiro: adds try/catch Me: "Handle edge case X" ... 10 iterations later ... My new approach: Me: "I need to parse 40 years of ABAP variations. What should we consider?" Kiro: "Here are 5 approaches. I recommend pattern-based parsing because: 1. ABAP syntax is inconsistent across versions 2. Strict grammar parsers fail on real-world code 3. Pattern matching is more forgiving 4. You can add patterns incrementally Should I implement the pattern-based approach?" Me: "Yes, that's exactly right." Kiro: generates production-ready parser with 10+ patterns The difference? I asked for recommendations, not implementations. Kiro became a strategic partner who understood the problem space. 📋 The 5 Kiro Features - Expert Level The hackathon required using Kiro's features. Most projects use 1-2. I used all 5 at expert level. Here's how: 1️⃣ Specs: The Blueprint I spent the first 3 days writing comprehensive specifications. Seemed like "wasted" time - I wanted to code! But then magic happened. Example - Custom Code Intelligence Spec (500 lines): # Q&A Service Specification ## Requirements FR-1: Use RAG (Retrieval Augmented Generation) FR-2: Context window: 8,000 tokens FR-3: Include source attribution with file/line numbers FR-4: Calculate confidence scores (multi-factor) FR-5: Prevent hallucination through grounding ## API Design POST /api/intelligence/qa Request: { question: string, context: {...} } Response: { answer: string, sources: [...], confidence: number } ## Implementation Details Vector DB: Pinecone Embedding: text-embedding-ada-002 LLM: GPT-4, temperature 0.1 Similarity threshold: 0.7 ... I gave this spec to Kiro and said: "Implement this." Kiro's output: 3 complete services (500+ lines), 7 API endpoints, full TypeScript types, comprehensive error handling - production-ready on first try. Time: Spec took 2 hours. Implementation took 1 hour. Total: 3 hours. Without spec: Would have taken 15-20 hours of iterative "try this, no that, fix this, add that..." ROI: 5-7x productivity gain 2️⃣ Steering: The Domain Expert I created two steering documents totaling 1,000+ lines: .kiro/steering/sap-domain-knowledge.md - 40 years of SAP expertise The breakthrough was the "before/after" pattern: ## Pricing Logic Pattern ❌ DON'T (Naive ABAP translation): if (customer_type === 'PREMIUM') { var discount = base_price * 0.15; } ✅ DO (Idiomatic modern code): const DISCOUNT_RATES = { PREMIUM: 0.15, STANDARD: 0.10, DEFAULT: 0.05 }; const calculateDiscount = (customerType, basePrice) => { const rate = DISCOUNT_RATES[customerType] || DISCOUNT_RATES.DEFAULT; return basePrice * rate; }; Enter fullscreen mode Exit fullscreen mode Result: Kiro stopped generating literal ABAP translations. It started generating professional, idiomatic SAP CAP code following best practices. The difference: Before steering: Naive translations with magic numbers After steering: Clean, maintainable code with constants, error handling, and modern patterns 3️⃣ Hooks: The Automated QA Three hooks that saved my project: Pre-commit Hook: #!/bin/bash npm run type-check || exit 1 npm run lint -- --max-warnings 0 || exit 1 npm test || exit 1 echo "✅ All checks passed!" Enter fullscreen mode Exit fullscreen mode Impact: Prevented 50+ bad commits during development. Caught errors in 30 seconds locally vs. 5 minutes in CI/CD. 4️⃣ MCP: The Frankenstein Achievement This is where it gets wild. Most hackathon projects use: 0-1 MCP servers I used: 3 coordinated MCP servers The Architecture: // Server 1: Custom ABAP Analyzer (Python) const analysis = await mcp.call('abap-analyzer', 'parse_abap', { code: abapCode }); // Server 2: Official SAP CAP MCP (@cap-js/mcp-server) const cdsModels = await mcp.call('sap-cap', 'cap_generate_cds', { dataModel: analysis.dataModel }); // Server 3: Official SAP UI5 MCP (@ui5/mcp-server) const fioriUI = await mcp.call('sap-ui5', 'ui5_get_fiori_template', { service: cdsModels }); Enter fullscreen mode Exit fullscreen mode The challenge: These are 3 different runtimes (Python, Node.js, Node.js), different protocols, different response formats. How do you coordinate them? Kiro's solution - the MCP Orchestrator: class MCPOrchestrator { async executeWorkflow(abapCode: string): Promise<Resurrection> { // STEP 1: Parse ABAP (1983 tech) const analysis = await this.callWithRetry( 'abap-analyzer', 'parse_abap', { code: abapCode } ); this.emitProgress('analyze', 100); // STEP 2: Generate backend (2020 tech) const capBackend = await this.callWithRetry( 'sap-cap', 'cap_generate_cds', { entities: analysis.dataModel } ); this.emitProgress('generate', 50); // STEP 3: Generate frontend (2024 tech) const fioriUI = await this.callWithRetry( 'sap-ui5', 'ui5_get_fiori_template', { service: capBackend } ); this.emitProgress('generate', 100); // STEP 4: Validate (ensure correctness) const validation = await this.callWithRetry( 'abap-analyzer', 'validate_business_logic', { original: abapCode, generated: capBackend } ); return { capBackend, fioriUI, validation }; } private async callWithRetry(server, tool, params, maxRetries = 3) { // Caching (50% cost reduction) // Exponential backoff retry // Connection recovery // Error handling across MCP boundaries } } Enter fullscreen mode Exit fullscreen mode What makes this impressive: Bridges 50 years: ABAP (1983) → CAP (2020) → UI5 (2024) - seamlessly Production reliability: Retry logic, caching, connection recovery Real-time progress: Streaming updates to frontend Smart optimization: Kiro added caching I didn't ask for (50% cost savings) This orchestrator is the "stitches" in the Frankenstein monster. Without it, we'd have 3 separate tools. With it, we have a transformation pipeline. 5️⃣ Vibe Coding: The Documentation I documented everything in KIRO_IN_ACTION_COMPLETE.md (1,400+ lines). Key conversations: Session 1: Kiro audited my project, recommended adding 3rd MCP server Session 2: Strategic discussion about SAP Legacy AI → Kiro recognized $200B opportunity Session 3: Scope decisions - what to build for hackathon vs. post-launch The insight: This documentation became proof of expert-level Kiro usage. Judges could see the strategic thinking, the iterations, the breakthroughs. 📊 The Results What I built in 2 weeks: ✅ 15,000+ lines of TypeScript ✅ 3 MCP servers coordinating 15+ AI tools ✅ Complete ABAP → SAP CAP transformation pipeline ✅ Custom Code Intelligence platform (docs, Q&A, search, graphs) ✅ 100% build success, deployed to Vercel ✅ 20,000+ words of documentation Time comparison: With Kiro: 2 weeks Without Kiro: 6 months (estimated) Productivity multiplier: 12x Cost to demo: OpenAI API: ~$15 Everything else: Free tier Total: ~$15 vs. $50M manual modernization 🎓 What I Learned Specs Are Worth Their Weight in Gold I resisted writing specs initially. "That's waterfall thinking!" Wrong. Specs gave Kiro the context to implement features autonomously. The ROI was 5-7x. Key insight: Time spent on specs = time saved on iteration × 5 Treat Kiro as a Senior Partner The best prompt pattern I found: "Here's the problem: [context] Here's what we've tried: [history] Here's what we need: [requirements] What do you recommend?" Kiro would analyze, propose multiple options, explain trade-offs, and recommend the best approach. Strategic thinking, not just code generation. Documentation IS the Product For hackathons especially: judges need to understand your genius. Without documentation, they see code. With documentation, they see vision, journey, mastery. I spent 30% of my time on docs. Worth every minute. MCP Enables the Impossible Making 1983 mainframe code work with 2024 cloud infrastructure? Literally impossible without MCP. MCP isn't just about connecting tools - it's about bridging incompatible worlds. Hooks Transform Quality Before hooks: Manual testing, inconsistent quality, things slip through After hooks: Automated validation, 100% coverage, sleep better at night 53 errors caught that would have reached production. That's the ROI. 🚀 What's Next This started as a hackathon project. But the more I built, the more I realized: this is a real business opportunity. Immediate (30 days): Beta launch with 10 pilot customers Complete remaining intelligence features Production hardening Short-term (90 days): Add third pillar: AI Fit-to-Standard (complete SAP Legacy AI parity) AWS Marketplace launch First paying customers Long-term (12+ months): Become the open-source standard for SAP modernization 10,000+ GitHub stars 100 Fortune 500 customers $100M ARR The vision: Just as GitHub democratized version control, Resurrection Platform will democratize legacy modernization. 💭 Final Thoughts Two weeks ago, I didn't know about MCP. I'd never written a line of ABAP. I'd never built anything this complex this fast. Kiro made it possible. Not by writing all my code (though it wrote a lot). But by being a strategic engineering partner who: Challenged my assumptions Recommended better approaches Implemented features autonomously from specs Caught errors I would have missed Delivered production-quality code The future of software development isn't human OR AI. It's human AND AI, working together. I brought domain knowledge, strategic thinking, and product vision. Kiro brought implementation speed, pattern recognition, and code generation. Together, we built something neither could have built alone. That's the magic. 🔗 Links GitHub: https://github.com/vigneshbarani24/kiroween-hackathon Full Documentation: See repository README Kiro Features Documentation: See .kiro/ directory 💬 Questions? Drop a comment below! I'm happy to discuss: MCP architecture and orchestration Spec-driven development with AI SAP/ABAP modernization strategies Building with Kiro AI Turning hackathon projects into businesses 🙏 Acknowledgments Kiro AI - For being an incredible development partner Anthropic - For building MCPs and the Kiroween Hackathon SAP Community - For 40 years of ABAP knowledge (encoded in steering docs) Built with 🎃 and Kiro AI If you found this helpful, give it a ❤️ and follow me for more AI-powered development stories! Tags #kiro #ai #hackathon #sap #abap #mcp #opensource #typescript #nextjs #modernization P.S. - This entire article structure was planned with Kiro. Meta, right? 😄 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 Vbboi24 Follow Joined Jan 1, 2020 Trending on DEV Community Hot I Built a Game Engine from Scratch in C++ (Here's What I Learned) # programming # gamedev # learning # cpp AI should not be in Code Editors # programming # ai # productivity # discuss I Didn’t “Become” a Senior Developer. I Accumulated Damage. # programming # ai # career # 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 | 2026-01-13T08:49:34 |
https://opensource.org/blog/ofa-symposium-2025-and-the-launch-of-the-open-technology-research-network-otrn | OFA Symposium 2025 and the Launch of the Open Technology Research Network (OTRN) – 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 December 3, 2025 Events Nick Vidal OFA Symposium 2025 and the Launch of the Open Technology Research Network (OTRN) The OpenForum Academy Symposium 2025 organized by OpenForum Europe (OFE) brought together researchers, policymakers, practitioners, and open technology leaders for two days of deep inquiry into how open technologies shape our economies, infrastructures, and societies. Hosted at FGV Law School in Rio de Janeiro, Brazil, this year’s theme “ Open Technology Impact in Uncertain Times” captured the urgency and opportunity of openness in a rapidly changing geopolitical and technological landscape. As a content partner, the Open Source Initiative (OSI) joined forces with the Open Knowledge Foundation (OKFN) and the Digital Public Goods Alliance (DPGA) , supporting a program that blended academic rigor with practical, policy-relevant insights. This collaboration enabled richer dialogue across sectors and reinforced the shared mission of strengthening global understanding of how open technologies shape markets, governance, AI development, and the digital public sphere. This year’s Symposium was also marked by the announcement of the Open Technology Research Network (OTRN) : a new strategic partnership between OFE, OSI, and OKFN to address current gaps in research on the impact of Open Source and to provide evidence that is critical to public policy discussions. Highlights from the OFA Symposium in Rio The OFA Symposium featured four key tracks that reflect today’s most pressing challenges about open technologies: Economic Impact of Open : Open technologies drive innovation, lower costs, and create new economic opportunities, but it is important that we are able to evaluate and even quantify their true impact. This track explored the role of open technologies in shaping competitive markets, the impact of funding for open technologies, and the macroeconomic impacts of open technologies. Open Technologies and Geopolitics : As technology becomes a central factor in global power dynamics, openness is both an asset and a challenge. This track explored the role of open technologies in shaping geopolitical strategies, trade policies, supply chains, and technological sovereignty. Open Source and AI : Artificial Intelligence is transforming industries, and open source code, weights, and data are at the heart of its development. But as AI scales, questions around ethics, accountability, and governance become more pressing, especially as debates swirl around the definition of open source AI. This track explored the intersection of open source licensing and AI, opportunities for open source collaboration in AI, regulatory challenges for open source AI, and the role of openness in ensuring responsible and trustworthy AI innovation. Sustainability and Security : Open technology is often viewed as offering alternatives to proprietary solutions and privately controlled technology ecosystems, but it’s at the core of all modern digital infrastructure, meaning it’s only as effective for major actors as it is sustainable and secure. This track explored how open technologies can be funded sustainably, the importance of maintenance, questions of supply chain resilience, and cybersecurity. Announcing the Open Technology Research Network (OTRN) One of the most significant outcomes of the Symposium was the formal announcement of the Open Technology Research Network (OTRN) , a strategic, long-term partnership between OFE, OSI, and OKFN. The OTRN will: Build a coordinated global research agenda on the societal, political, and economic impact of open technologies. Strengthen data quality, research infrastructure, and evidence-based policymaking . Co-organize a new annual Open Technology Research Symposium beginning in 2026 , expanding the legacy of OFA’s academic convenings. Support shared fundraising, networking, and collaborative studies that bridge academia, government, and industry. “This collaboration represents a significant step forward in building the research infrastructure needed to support informed decision making about open technologies.” — Deborah Bryant, Interim Executive Director, Open Source Initiative (OSI) “We aim to build the institutional foundations needed to ensure that open technologies are recognised, valued, and supported as key enablers of innovation and resilience.” — Astor Nummelin Carlberg, Executive Director, OpenForum Europe “This partnership will help ensure that reproducible data and research in these areas deliver broad benefits to society.” — Renata Avila, CEO, Open Knowledge Foundation Open Technology Research Symposium: Looking Ahead The 2025 OFA Symposium demonstrated the global momentum behind open technologies, but also highlighted how much work remains to be done. From economic measurement to AI governance, from digital sovereignty to security, openness provides both the foundation and the pathway for a more transparent, resilient, and democratic digital future. The creation of the Open Technology Research Network represents a major step forward in building the research capacity and institutional collaboration needed to shape that future. OSI has long advocated for evidence-based policymaking, but policymakers, industry leaders, and Open Source communities themselves often lack the empirical data needed to properly assess the societal, economic, and governance implications of openness. As we transition toward the first Open Technology Research Symposium in 2026, building on the success of three OFA Symposiums (Berlin 2023, Boston 2024, Rio de Janeiro 2025), we carry forward the energy from these events and the collective commitment to deepen our understanding of how open technologies impact our society. 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https://fortune.com/2025/08/20/gpt-5-is-getting-all-the-buzz-but-the-new-open-models-of-ai-matters-more/ | The rise of new open source AI models are a big development | Fortune Search Subscribe Home Latest Fortune 500 Finance Tech Leadership Lifestyle Rankings Multimedia Commentary GPT-5 is getting all the buzz. But the new open models of AI matter more By Manik Surtani Manik Surtani Down Arrow Button Icon By Manik Surtani Manik Surtani Down Arrow Button Icon August 20, 2025, 9:00 AM ET Add us on Manik is head of Open Source at publicly-trade payments and crypto company Block. ChatGPT maker OpenAI made headlines this month with two major launches: the release of two so-called open weight models and the debut of the long-anticipated next generation Chat-GPT 5. While most of the media and industry buzz focused on the latter, it’s the open models, and the rapidly advancing ecosystem around them, that could make a bigger difference for everyone from researchers to small businesses. Recommended Video The idea of open versus closed (or proprietary) models is familiar to anyone who has worked in software, and the definition is the same when it comes to AI. According to our partners at the Open Source Initiative (OSI), open source AI means anyone can look at how the model works, change it, use it, and share it freely without needing to ask for permission. OpenAI’s new open weight models don’t entirely meet this definition, but they are still in position to deliver the most impact for many businesses. A Morning Consult report from 2013 identified cost and privacy as the primary barriers to AI adoption for small businesses. The arrival of open models has the potential to address both concerns: they can be deployed offline, enabling greater data privacy, and they are free to use. Proprietary AI models often deliver stronger performance, but they require costly infrastructure and must run on an external provider’s servers, which requires a business to hand over its data. Open source models, by contrast, are improving quickly, and as they narrow the performance gap. Already, it is possible to run certain models locally, or even on a laptop or within a company’s own walls—options that can offer a powerful, self-managed alternative in the right circumstances. Why should businesses care? AI is becoming a lot more practical for Main Street businesses. What’s new isn’t just that open models can be a fixed-cost asset instead of a metered service. It’s that these self-hosted, affordable models are getting good—really good! Small businesses can now keep customer data in-house, avoid surprise price hikes, and spin up niche copilots like a “local operations assistant” or a “custom cake-order concierge” on their own terms, without needing to be AI experts or train models themselves. Open models also come with built-in transparency. Business owners can get a direct view of how the AI works, and the ability to store data in-house offers a surer way to meet compliance obligations. This is particularly important in an era where centralized data storage systems have been the targets of data breaches. Having full control over the AI stack also means businesses can adapt and integrate models into the parts of their operations that matter most, such as loyalty programs, supply chain workflows, or customer support scripts, without worrying about vendor lock-in or shifting API terms. That kind of control turns AI into a strategic asset and helps businesses create more tailored, differentiated experiences. Democratizing Access to AI Agents Aside from this ongoing improvement, there is another cause for enthusiasm: open AI models aren’t just static prediction engines, they’re becoming active helpers. When paired with tools that allow them to take actions, these models turn into “AI agents” that can execute tasks automatically. Consider open source projects like Goose, an AI agent framework our team at Block released in January. Goose also runs on your own computer (not on Block’s servers) and can connect a language model to real-world business actions, from drafting emails to updating spreadsheets. In practical terms, this means a small business could have an AI that not only suggests answers, but actually logs into their inventory system, finds the relevant data, and helps complete a task, entirely on-site. Imagine automating your invoicing, email replies or appointment scheduling with an AI that operates like a diligent virtual assistant, and doing it without sending any data to the cloud or paying per-action fees. Open source models are the “brains” behind such solutions, and projects like Goose provide the “arms and legs” to carry out actions. The combination is powerful. Businesses and their customers could interact with AI that actually gets things done, such as finding products, placing orders, or handling bookings, rather than just chatting. They also wouldn’t have to pay extra for every transaction or worry about an external service outage in the middle of an operation. None of this is hype or sci-fi, it’s the emerging reality of open source AI. To ensure this future reaches every corner deli and family clinic, the tech community and policymakers must continue investing in open models, accessible tools, and open standards. The U.S. government’s AI Action Plan explicitly highlights open source AI as vital for American innovation and even calls for convening stakeholders to drive open adoption among smaller businesses. That kind of support signals a growing consensus: if we want AI’s benefits to be broadly distributed, openness is key. Join us at the Fortune Workplace Innovation Summit May 19–20, 2026, in Atlanta. The next era of workplace innovation is here—and the old playbook is being rewritten. At this exclusive, high-energy event, the world’s most innovative leaders will convene to explore how AI, humanity, and strategy converge to redefine, again, the future of work. Register now . About the Author By Manik Surtani See full bio Right Arrow Button Icon Latest in Commentary Finance Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. 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https://forem.com/petar_liovic_9fb912bdc228 | Petar Liovic - 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 Petar Liovic Full stack dev, Process Automation Architect (Camunda, BPMN, js) Joined Joined on Dec 27, 2025 More info about @petar_liovic_9fb912bdc228 Badges 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single 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 3 posts published Comment 2 comments written Tag 0 tags followed Mathematical Audit of Excalidraw: Finding "Logic Echoes" via Linear Algebra Petar Liovic Petar Liovic Petar Liovic Follow Jan 12 Mathematical Audit of Excalidraw: Finding "Logic Echoes" via Linear Algebra # architecture # computerscience # react # tooling 1 reaction Comments Add Comment 3 min read Want to connect with Petar Liovic? Create an account to connect with Petar Liovic. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in 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 I used Linear Algebra to audit my React state (and built a tool for it) Petar Liovic Petar Liovic Petar Liovic Follow Dec 27 '25 I used Linear Algebra to audit my React state (and built a tool for it) # react # typescript # linearalgebra # webdev 1 reaction Comments Add Comment 4 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 | 2026-01-13T08:49:34 |
https://coderabbit.ai/dpa | CodeRabbit Data Protection Addendum| AI Code Reviews Features Enterprise Customers Pricing Blog Resources Docs Trust Center Contact Us FAQ Log In Get a free trial Updated March 13th, 2025 Data Protection Addendum Data Protection Addendum This Data Processing Agreement (“DPA”) forms part of the Terms of Use (or other similarly titled written or electronic agreement addressing the same subject matter) (“ Agreement ”) between Customer (as defined in the Agreement) and " CodeRabbit Inc " under which the Processor provides the Controller with the software and services (the "Services" ). The Controller and the Processor are individually referred to as a "Party" and collectively as the "Parties" . The Parties seek to implement this DPA to comply with the requirements of EU GDPR (defined hereunder) in relation to Processor's processing of Personal Data (as defined under the EU GDPR) as part of its obligations under the Agreement. This DPA shall apply to Processor's processing of Personal Data, provided by the Controller as part of Processor's obligations under the Agreement. Except as modified below, the terms of the Agreement shall remain in full force and effect. Definitions Terms not otherwise defined herein shall have the meaning given to them in the EU GDPR or the Agreement. The following terms shall have the corresponding meanings assigned to them below: 1.1. " Data Transfer " means a transfer of the Personal Data from the Controller to the Processor, or between two establishments of the Processor, or with a Sub-processor by the Processor. 1.2. " EU GDPR " means the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data and repealing Directive 95/46/EC (General Data Protection Regulation). 1.3. " Standard Contractual Clauses " means the contractual clauses attached hereto as Schedule 1 pursuant to the European Commission's Implementing Decision (EU) 2021/914 of 4 June 2021 on Standard Contractual Clauses for the transfer of Personal Data to processors established in third countries which do not ensure an adequate level of data protection. 1.4. " Controller " means the natural or legal person, public authority, agency, or other body which, alone or jointly with others, determines the purposes and means of the processing of personal data; where the purposes and means of such processing are determined by Union or Member State law, the controller or the specific criteria for its nomination may be provided for by Union or Member State law. 1.5. "Processor" means a natural or legal person, public authority, agency, or other body which processes personal data on behalf of the controller. 1.6. " Sub-processor " means a processor/ sub-contractor appointed by the Processor for the provision of all or parts of the Services and Processes the Personal Data as provided by the Controller. Purpose of this Agreement This DPA sets out various obligations of the Processor in relation to the Processing of Personal Data and shall be limited to the Processor's obligations under the Agreement. If there is a conflict between the provisions of the Agreement and this DPA, the provisions of this DPA shall prevail. Categories of Personal Data and Data Subjects The Controller authorizes permission to the Processor to process the Personal Data to the extent of which is determined and regulated by the Controller. The current nature of the Personal Data is specified in Annex I to Schedule 1 to this DPA. Purpose of Processing The objective of Processing of Personal Data by the Processor shall be limited to the Processor's provision of the Services to the Controller and or its Client, pursuant to the Agreement. Duration of Processing The Processor will Process Personal Data for the duration of the Agreement, unless otherwise agreed upon in writing by the Controller. Data Controller's Obligations 6.1. The Data Controller shall warrant that it has all necessary rights to provide the Personal Data to the Data Processor for the Processing to be performed in relation to the agreed services. To the extent required by Data Privacy Laws, Data Controller is responsible for ensuring that it provides such Personal Data to Data Processor based on an appropriate legal basis allowing lawful processing activities, including any necessary Data Subject consents to this Processing are obtained, and for ensuring that a record of such consents is maintained. Should such consent be revoked by the Data Subject, the Data Controller is responsible for communicating the fact of such revocation to the Data Processor. 6.2. The Data Controller shall provide all natural persons from whom it collects Personal Data with the relevant privacy notice. 6.3. The Data Controller shall request the Data Processor to purge Personal Data when required by the Data Controller or any Data Subject whom it collects Personal Data unless the Data Processor is otherwise required to retain the Personal Data by applicable law. 6.4. The Data Controller shall immediately advise the Data Processor in writing if it receives or learns of any: 6.4.1. Complaint or allegation indicating a violation of Data Privacy Laws regarding Personal Data; 6.4.2. Request from one or more individuals seeking to access, correct, or delete Personal Data; 6.4.3. Inquiry or complaint from one or more individuals relating to the collection, processing, use, or transfer of Personal Data; and 6.4.4. Any regulatory request, search warrant, or other legal, regulatory, administrative, or governmental process seeking Personal Data Data Processor's Obligations 7.1. The Processor will follow written and documented instructions received, including email, from the Controller, its affiliate, agents, or personnel, with respect to the Processing of Personal Data (each, an " Instruction "). 7.2. The Processing described in the Agreement and the relating documentation shall be considered as Instruction from the Controller. 7.3. At the Data Controller's request, the Data Processor will provide reasonable assistance to the Data Controller in responding to/ complying with requests/ directions by Data Subject in exercising their rights or of the applicable regulatory authorities regarding Data Processor's Processing of Personal Data. 7.4. In relation to the Personal Data, Data Processor shall obtain consent (where necessary) and/or provide notice to the Data Subject in accordance with Data Protection Laws to enable shared Personal Data to be provided to, and used by, the other Party as contemplated by this Agreement. 7.5. Where shared Personal Data is transferred outside the Data Processor's territorial boundaries, the transferor shall ensure that the recipient of such data is under contractual obligations to protect such Personal Data to the same or higher standards as those imposed under this Addendum and the Data Protection Laws. 7.6. The processor shall inform the controller if, in its opinion, a processing instruction infringes applicable legislation or regulation. Data Secrecy 8.1. To Process the Personal Data, the Processor will use personnel who are 8.1.1. Informed of the confidential nature of the Personal Data, and 8.1.2. Perform the Services in accordance with the Agreement. 8.2. The Processor will regularly train individuals having access to Personal Data in data security and data privacy in accordance with accepted industry practice and shall ensure that all the Personal Data is kept strictly confidential. 8.3. The Processor will maintain appropriate technical and organizational measures for protection of the security, confidentiality, and integrity of the Personal Data as per the specifications as per the standards mutually agreed in writing by the Parties. Audit Rights 9.1. Upon Controller's reasonable request, the Processor will make available to the Controller, information as is reasonably necessary to demonstrate Processor's compliance with its obligations under the EU GDPR or other applicable laws in respect of its Processing of the Personal Data. 9.2. When the Controller wishes to conduct the audit (by itself or through a representative) at Processor's site, it shall provide at least fifteen (15) days' prior written notice to the Processor; the Processor will provide reasonable cooperation and assistance in relation to audits, including inspections, conducted by the Controller or its representative. 9.3. The Controller shall bear the expense of such an audit. Mechanism of Data Transfers Any Data Transfer for the purpose of Processing by the Processor in a country outside the European Economic Area (the " EEA ") shall only take place in compliance as detailed in Schedule 1 to the DPA. Where such model clauses have not been executed at the same time as this DPA, the Processor shall not unduly withhold the execution of such template model clauses, where the transfer of Personal Data outside of the EEA is required for the performance of the Agreement. Sub-processors 11.1. The Controller acknowledges and agrees that the Processor, may engage a third-party Sub-processor(s) in connection with the performance of the Services, provided such Sub-processor(s) take technical and organizational measures to ensure confidentiality of Personal Data shared with them; The current Sub-processors engaged by the Processors and approved by the Controller are listed in Annex III of Schedule 1 hereto. In accordance with Article 28(4) of the GDPR, the Processor shall remain liable to Controller for any failure on behalf of a Sub-processor to fulfil its data protection obligations under the DPA in connection with the performance of the Services. 11.2. If the Controller has a concern that the Sub-processor(s) Processing of Personal Data is reasonably likely to cause the Controller to breach its data protection obligations under the GDPR, the Controller may object to Processor's use of such Sub-processor and the Processor and Controller shall confer in good faith to address such concern. Personal Data Breach Notification 12.1. The Processor shall maintain defined procedures in case of a Personal Data Breach (as defined under the GDPR) and shall without undue delay notify Controller if it becomes aware of any Personal Data Breach. 12.2. The Processor shall provide the Controller with all reasonable assistance to comply with the notification of Personal Data Breach to Supervisory Authority and/or the Data Subject, to identify the cause of such Data Breach and take such commercially reasonable steps as reasonably required to mitigate and remedy such Data Breach. 12.3. No Acknowledgement of Fault by Processor. Processor's notification of or response to a Personal Data Breach under this DPA will not be construed as an acknowledgement by Processor of any fault or liability with respect to the data incident. Return and Deletion of Personal Data 13.1. The Processor shall at least thirty (30) days from the end of the Agreement or cessation of the Processor's Services under the Agreement, whichever occurs earlier, shall return to the Controller all the Personal Data, or if the Controller so instructs, the Processor shall have the Personal Data deleted. The Processor shall return such Personal Data in a commonly used format or in the current format in which it was stored at discretion of the Controller, soon as reasonably practicable following receipt of Controller's notification. 13.2. In any case, the Processor shall delete Personal Data including all the copies of it as soon as reasonably practicable following the end of the Agreement. Technical and Organizational Measures Having regard to the state of technological development and the cost of implementing any measures, the Processor will take appropriate technical and organizational measures against the unauthorized or unlawful processing of Personal Data and against the accidental loss or destruction of, or damage to, Personal Data to ensure a level of security appropriate to: (a) the harm that might result from unauthorized or unlawful processing or accidental loss, destruction or damage; and (b) the nature of the data to be protected [including the measures stated in Annex II of Schedule 1] SCHEDULE 1 ANNEX I A. LIST OF PARTIES Data exporter(s): Name : Customer (As set forth in the relevant Order Form). Address : As set forth in the relevant Order Form . Contact person's name, position, and contact details: As set forth in the relevant Order Form. Activities relevant to the data transferred under these Clauses : Recipient of the Services provided by CodeRabbit Inc in accordance with the Agreement. Signature and date: Signature and date are set out in the Agreement. Role Controller/ Processor): Controller Data importer(s): Name: CodeRabbit Inc Address: 201 Spear St # 1200 San Francisco, CA 94105, United States Contact person's name, position, and contact details: Rohit Khanna, dpo@coderabbit.ai , +1 - 888 - 247 - 5357 Activities relevant to the data transferred under these Clauses : Provision of the Services to the Customer in accordance with the Agreement. Signature and date : Signature and date are set out in the Agreement. Role (controller/processor): Processor. B. DESCRIPTION OF TRANSFER Categories of data subjects whose personal data is transferred Customer's authorized users of the Services . Categories of personal data transferred Git platform(GItHub, GitLab, AzureDevOps, Bitbucket) User ID, Username, user's primary email. Sensitive data transferred (if applicable) and applied restrictions or safeguards that fully take into consideration the nature of the data and the risks involved, such as for instance strict purpose limitation, access restrictions (including access only for staff having followed specialized training), keeping a record of access to the data, restrictions for onward transfers or additional security measures. No sensitive data collected. The frequency of the transfer (e.g., whether the data is transferred on a one-off or continuous basis). Continuous basis Nature of the processing The data importer's Processing activities shall be limited to those discussed in the Agreement and the DPA Purpose(s) of the data transfer and further processing The purpose of the transfer is to facilitate the performance of the Services more fully described in the Agreement and accompanying order forms. The period for which the personal data will be retained, or, if that is not possible, the criteria used to determine that period The period for which the Customer Personal Data will be retained is more fully described in the Agreement, Addendum, and accompanying order forms. For transfers to (sub-) processors, also specify subject matter, nature, and duration of the processing The subject matter, nature, and duration of the Processing more fully described in the Agreement, Addendum, and accompanying order forms. C.COMPETENT SUPERVISORY AUTHORITY Data exporter is established in an EEA country. The competent supervisory authority is as determined by application of Clause 13 of the EU SCCs. ANNEX II TECHNICAL AND ORGANIZATIONAL MEASURES INCLUDING TECHNICAL AND ORGANISATIONAL MEASURES TO ENSURE THE SECURITY OF THE DATA Description of the technical and organisational security measures implemented by CodeRabbit Inc as the data processor/data importer to ensure an appropriate level of security, taking into account the nature, scope, context, and purpose of the processing, and the risks for the rights and freedoms of natural persons. o Security Security Management System . Organization . CodeRabbit Inc designates qualified security personnel whose responsibilities include development, implementation, and ongoing maintenance of the Information Security Program. Policies . Management reviews and supports all security related policies to ensure the security, availability, integrity and confidentiality of Customer Personal Data. These policies are updated at least once annually. Assessments . CodeRabbit Inc engages a reputable independent third-party to perform risk assessments of all systems containing Customer Personal Data at least once annually. Risk Treatment . CodeRabbit Inc maintains a formal and effective risk treatment program that includes penetration testing, vulnerability management and patch management to identify and protect against potential threats to the security, integrity or confidentiality of Customer Personal Data. Vendor Management . CodeRabbit Inc maintains an effective vendor management program Incident Management . CodeRabbit Inc reviews security incidents regularly, including effective determination of root cause and corrective action. Standards . CodeRabbit Inc operates an information security management system that complies with the requirements of ISO/IEC 27001:2022 standard. Personnel Security. CodeRabbit Inc personnel are required to conduct themselves in a manner consistent with the company's guidelines regarding confidentiality, business ethics, appropriate usage, and professional standards. CodeRabbit Inc conducts reasonably appropriate background checks on any employees who will have access to client data under this Agreement, including in relation to employment history and criminal records, to the extent legally permissible and in accordance with applicable local labor law, customary practice and statutory regulations. Personnel are required to execute a confidentiality agreement in writing at the time of hire and to protect Customer Personal Data at all times. Personnel must acknowledge receipt of, and compliance with, CodeRabbit Inc's confidentiality, privacy and security policies. Personnel are provided with privacy and security training on how to implement and comply with the Information Security Program. Personnel handling Customer Personal Data are required to complete additional requirements appropriate to their role (e.g., certifications). CodeRabbit Inc's personnel will not process Customer Personal Data without authorization. Access Controls Access Management . CodeRabbit Inc maintains a formal access management process for the request, review, approval and provisioning of all personnel with access to Customer Personal Data to limit access to Customer Personal Data and systems storing, accessing or transmitting Customer Personal Data to properly authorized persons having a need for such access. Access reviews are conducted periodically to ensure that only those personnel with access to Customer Personal Data still require it. Infrastructure Security Personnel . CodeRabbit Inc has, and maintains, a security policy for its personnel, and requires security training as part of the training package for its personnel. CodeRabbit Inc's infrastructure security personnel are responsible for the ongoing monitoring of CodeRabbit Inc's security infrastructure, the review of the Services, and for responding to security incidents. Access Control and Privilege Management . CodeRabbit Inc's and Customer's administrators and end users must authenticate themselves via a Multi-Factor authentication system or via a single sign on system in order to use the Services Internal Data Access Processes and Policies – Access Policy . CodeRabbit Inc's internal data access processes and policies are designed to protect against unauthorized access, use, disclosure, alteration or destruction of Customer Personal Data. CodeRabbit Inc designs its systems to only allow authorized persons to access data they are authorized to access based on principles of "least privileged" and "need to know", and to prevent others who should not have access from obtaining access. CodeRabbit Inc requires the use of unique user IDs, strong passwords, two factor authentication and carefully monitored access lists to minimize the potential for unauthorized account use. The granting or modification of access rights is based on: the authorized personnel's job responsibilities; job duty requirements necessary to perform authorized tasks; a need to know basis; and must be in accordance with CodeRabbit Inc's internal data access policies and training. Approvals are managed by workflow tools that maintain audit records of all changes. Access to systems is logged to create an audit trail for accountability. Where passwords are employed for authentication (e.g., login to workstations), password policies follow industry standard practices. These standards include password complexity, password expiry, password lockout, restrictions on password reuse and re-prompt for password after a period of inactivity Data Center and Network Security Data Centers. Infrastructure. CodeRabbit Inc has GCP as its data center. Resiliency. Multi Availability Zones are enabled on GCP and CodeRabbit Inc conducts Backup Restoration Testing on regular basis to ensure resiliency. Server Operating Systems. CodeRabbit Inc's servers are customized for the application environment and the servers have been hardened for the security of the Services. CodeRabbit Inc employs a code review process to increase the security of the code used to provide the Services and enhance the security products in production environments. Disaster Recovery . CodeRabbit Inc replicates data over multiple systems to help to protect against accidental destruction or loss. CodeRabbit Inc has designed and regularly plans and tests its disaster recovery programs. Security Logs. CodeRabbit Inc's systems have logging enabled to their respective system log facility in order to support the security audits, and monitor and detect actual and attempted attacks on, or intrusions into, CodeRabbit Inc's systems. Vulnerability Management . CodeRabbit Inc performs regular vulnerability scans on all infrastructure components of its production and development environment. Vulnerabilities are remediated on a risk basis, with Critical, High and Medium security patches for all components installed as soon as commercially possible. Networks and Transmission. Data Transmission . Transmissions on production environment are transmitted via Internet standard protocols. External Attack Surface . GCP Security Group which is equivalent to virtual firewall is in place for Production environment on GCP. Incident Response . CodeRabbit Inc maintains incident management policies and procedures, including detailed security incident escalation procedures. CodeRabbit Inc monitors a variety of communication channels for security incidents, and CodeRabbit Inc's security personnel will react promptly to suspected or known incidents, mitigate harmful effects of such security incidents, and document such security incidents and their outcomes. Encryption Technologies . CodeRabbit Inc makes HTTPS encryption (also referred to as SSL or TLS) available for data in transit. Data Storage, Isolation, Authentication, and Destruction. CodeRabbit Inc stores data in a multi-tenant environment on GCP servers. Data, the Services database and file system architecture are replicated between multiple availability zones on GCP. CodeRabbit Inc logically isolates the data of different customers. A central authentication system is used across all Services to increase uniform security of data. CodeRabbit Inc ensures secure disposal of Client Data through the use of a series of data destruction processes. ANNEX III LIST OF SUB-PROCESSORS Name of Other Processor Description of Processing Location of Other Processor Datadog IT Infrastructure US PostHog Analytics US Sentinel One Antivirus and EDR US Growsurf SaaS for building referral program US HubSpot CRM US Typeform Customer support Spain Discord Customer support US Slack Team Collaboration US Google Workspace Email, Collaboration US Stripe Payment gateway US Chargebee Subscription management US Cloudflare DNS and Web Security US Vercel Static Website Hosting US GitHub Code repositories US Google Cloud Platform Hosting the production environment US Anthropic AI LLMs US OpenAI AI LLMs US LanceDB Database Management System US Still have questions? 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https://dev.to/faizanfirdousi/my-key-takeaways-from-ddia-chapter-1-reliability-scalability-and-maintainability-3l49 | My Key Takeaways from DDIA Chapter 1: Reliability, Scalability, and Maintainability - 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. 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Report Abuse Faizan Firdousi Posted on Jan 7 My Key Takeaways from DDIA Chapter 1: Reliability, Scalability, and Maintainability # systemdesign # distributedsystems # architecture # computerscience This was an introductory yet useful chapter to begin with, as it starts with the high-level fundamentals you need to think about before designing systems. here are my notes which are the things which felt more important for me Reliability: The application should continue to work even if things go wrong, so design it in a way that handles most of the mistakes users make and places where it could crash. While discussing this stuff, use terms like "resilient" as terms like "fault tolerant" are misleading since there is no system which is 100% fault tolerant. The difference between fault and failure is that a fault means often one component is off, while failure means the whole system goes down. Types of errors the system needs to handle are- hardware errors (not much for us to worry about, but the errors can also be interconnected with software) software errors (bugs in code can cause cascading failures) human errors (like wrong config files). Scalability: It's the system's ability to cope with increased load. It depends on how you design the system so that it can handle more load. Also, it's meaningless to talk like "something is scalable or something doesn't scale." While talking about load, it's best to define the load termed as load parameters as per your app's requirements the load can be requests per second, ratio of reads and writes to the database, or active users in a chat room. It's important to manage the system's resources (CPU, memory, etc.) according to when you increase the load parameters. There are various ways to cope with the load like horizontal and vertical scaling, while keeping in mind that there ain't one scaling strategy or one absolute secret sauce that is applicable for every system as it depends on various factors. Latency and response time Latency means the time the data took to travel across the network, while response time means what the user sees—in simple terms, the total time the client sees from sending the request to getting a response. Response time includes more things like network delays, queueing delays, etc. The best statistic used to monitor the response times of users is by plotting it in sorted order from fast to slow in percentiles and using the median (also 50th percentile or p50) as a metric. Big companies like Amazon design their internal structure according to the response time of the 99.9th percentile, which means 1 in 1000 requests. Maintainability: You don't leave the system just after making it and have to maintain it, so while making it you need to keep in mind that it should be easy for maintenance. Important things to keep in mind are operability (making it easier for operations teams) simplicity (easier to understand, reduce complexity as much as you can by adding right abstractions) evolvability (easier to incorporate changes in the future, so it should be modifiable and extensible). 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 Faizan Firdousi Follow Love Computer Science | linux | Go | DevOps | cloud Location Pune, Maharashtra,India Education Bachelor of Engineering in Computer Science Pronouns He/Him Joined Oct 27, 2024 More from Faizan Firdousi Database Design Best Practice: Store Categorical Data as IDs, Not Strings # database # backend # sql # architecture How War Shaped the Foundations of Modern Computer Science # computerscience # architecture How a Simple Bitwise AND Decides If Two Computers Can Talk Directly # networking # cloud # devops # computerscience 💎 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. 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https://docs.devcycle.com/quickstart | Getting Started | DevCycle Docs Skip to main content Home SDKs APIs Management API Bucketing API Integrations CLI / MCP Best Practices Community Blog Discord Search Sign Up Home Getting Started Essentials DevCycle Overview Key Features System Architecture Feature Hierarchy Feature Types Platform Feature Flags Experimentation Account Management Security and Guardrails Testing and QA Extras Examples Getting Started On this page Getting Started Getting started with DevCycle is simple. In just minutes, you can integrate DevCycle into your app using an AI assistant, which connects to DevCycle’s MCP server to install an SDK and set up your first feature flag. Prefer a hands-on approach? Follow our step-by-step walkthrough instead. Along the way, you'll get familiar with some of the DevCycle's core features, while experiencing firsthand just how easy it is to implement feature flags to enhance your application's functionality and flexibility. Learn more about DevCycle's core features on the DevCycle Overview page. Quickstart with AI If you've just created a DevCycle account or will be creating a DevCycle account, DevCycle's 2-minute onboarding guides you through installing the DevCycle MCP Server and using an AI assistant to install and implement DevCycle in your application. For users that have skipped or completed the onboarding, you can still leverage AI and connect to DevCycle's MCP server to simplify creating, editing and releasing Features. Take a look at our MCP docs for more info. Quickstart Tutorial This tutorial will go through the creation of a simple React app , connecting it to DevCycle, and implementing an Ops Feature Flag to enable/disable a Maintenance Mode page. info This guided onboarding to core DevCycle functionality assumes you already have an account. If not you can create one for free here . We offer an always free tier to start, with pricing that scales with usage as needed. Step 1. Create a Feature On the DevCycle Dashboard, access the "Feature Management" page via the Features button on the top navbar. Click the blue + Create New Feature button (or select the "+" button in the main navbar) to begin the Feature creation process. To create a Feature: Click either the "+" button or the "Create new Feature" button. Choose an Ops Feature from the options modal. To read more about the Feature types and their uses, see DevCycle Feature Types . After choosing a type, name and describe your Feature: Feature name: For our example, this will be Maintenance Mode . Feature key: This key is how the Feature and its Variables will be referenced in code. (A key of maintenance-mode will be automatically suggested based on the entered name.) Initial Variable Key: Define an initial Variable key that can differ from the new Feature key name. The Feature Key and the Initial Variable Key will mimic the input entered in the Feature Name field formatted in kebab case (e.g., maintenance-mode ). Initial Variable Type: Select Boolean for this example. Click "Create". Congratulations! You have now created the Maintenance Mode Ops Feature within your project. Step 2. Create a New React App In your terminal, run the following commands to spin up a new React app. npx create-react-app my-app cd my-app npm start If successful, you should see the following in your terminal: And if you visit localhost:3000 , you should see the default React app page: Step 3. Implement the DevCycle SDK With a Maintenance Mode Feature created over on the DevCycle platform, its time to install the SDK and implement the actual maintenance mode logic in the React application: 1. Install the DevCycle SDK via the relevant dependency manager. For this example, the React SDK is installed via npm: npm i @devcycle/react-client-sdk or via yarn: yarn add @devcycle/react-client-sdk 2. Import DevCycle. To import DevCycle, head over to App.js and add the following to the import statements at the top of the file: import { withDevCycleProvider } from "@devcycle/react-client-sdk" ; 3. Obtain SDK Key. In order to initialize DevCycle in your application, you'll need to obtain the relevant SDK key from the DevCycle Dashboard, which in our case (a React application) will be the Client key for the Development Environment. To obtain the SDK key, you'll need to: Navigate to your DevCycle Dashboard. Click on the View SDK Keys (i.e., Key Icon) in the top navbar. Copy the Client Key from the Development environment. Depending on which type of SDK and which environment you are initializing for, the SDK Key will be different. Read more about Environments and keys in the essentials. 4. Initialize DevCycle Provider Next wrap your App component with the withDevCycleProvider higher order component to allow DevCycle to be used throughout your React app: export default withDevCycleProvider ( { sdkKey : "dvc_client_********_fff1111" , } ) ( App ) ; 5. Access your Variable. Implement the code to evaluate the Variable that is being controlled by the Feature you just created. Read more about Variables here . To access the variable, you'll first need to import the useVariableValue hook at the top of App.js import { useVariableValue } from "@devcycle/react-client-sdk" ; Next you will use the useVariableValue hook to access the Maintenance Mode variable you created earlier. Create a new maintenanceMode constant inside your App() function which calls useVariableValue with two parameters: the maintenance-mode key and then a default value for this flag, which in your case will be false : function App ( ) { const maintenanceMode = useVariableValue ( "maintenance-mode" , false ) ; // Additional hooks and logic } 6. Add Maintenance Mode Page and Set evaluation logic Finally, you will add logic to conditionally render either the maintenance page or the default app content based on the variable's value. Here is the full code implementing that logic: function App ( ) { const maintenanceMode = useVariableValue ( "maintenance-mode" , false ) ; if ( maintenanceMode ) { return ( < div className = "App" > < article > < h1 > We & rsquo ; ll be back soon ! < / h1 > < div > < p > Sorry for the inconvenience but we & rsquo ; re performing some maintenance at the moment . If you need to you can always { " " } < a href = "mailto:#" > contact us < / a > , otherwise we & rsquo ; ll be back online shortly ! < / p > < p > & mdash ; The Team < / p > < / div > < / article > < / div > ) ; } return ( < div className = "App" > < header className = "App-header" > < img src = { logo } className = "App-logo" alt = "logo" / > < p > Edit < code > src / App . js < / code > and save to reload . < / p > < a className = "App-link" href = "https://reactjs.org" target = "_blank" rel = "noopener noreferrer" > Learn React < / a > < / header > < / div > ) ; } Step 4. Modify Targeting Variables deliver different values to different users via Targeting Rules. During the creation process for our "Maintenance Mode" feature, some initial Targeting Rules were set up to serve Configuration 1 or true for your personal email address in the development environment. In this example, we haven't set any User Properties to target, so we'll update these targeting rules to impact All Users, which is generally how you would want to use Maintenance Mode. To update these targetting rules, you'll need to: Navigate to the Maintenance Mode Feature on your DevCycle Dashboard. Under your Development Environment targeting rules, locate the definition that references User Email . Change this rule to target All Users . Click Save . If everything is working, your maintenance mode should now be enabled, and you will see the maintenance mode screen. For more information on targeting based on user data, see the documentation on Custom Properties here . Step 5. Toggle Variations The final step is to toggle between different Variations. Revisit the All Users rule you just updated. Change the variation from Configuration 1 to Configuration 2 . Click save. If everything is working, your maintenance mode should now be disabled, and you will see the normal app screen. Congratulations! You've just set up and toggled a maintenance mode feature flag running in your own React app using DevCycle. Edit this page Last updated on Jan 9, 2026 Previous Home Next DevCycle Overview Quickstart with AI Quickstart Tutorial Step 1. Create a Feature Step 2. Create a New React App Step 3. Implement the DevCycle SDK Step 4. Modify Targeting Step 5. Toggle Variations DevCycle Dashboard Blog Privacy Policy Twitter Discord GitHub Copyright © 2026 DevCycle. All rights reserved. | 2026-01-13T08:49:34 |
https://dev.to/t/computerscience/page/7 | Computer Science 🤓 Page 7 - 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. 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Right menu Deadlock(OS) vs Deadlock(DBMS) Sujeet Pandey Sujeet Pandey Sujeet Pandey Follow Nov 30 '25 Deadlock(OS) vs Deadlock(DBMS) # computerscience # database # systemdesign Comments Add Comment 2 min read CPUs & RAM Explained — How Computers Actually Think and Remember Cristian Sifuentes Cristian Sifuentes Cristian Sifuentes Follow Jan 2 CPUs & RAM Explained — How Computers Actually Think and Remember # softwareengineering # computerscience # hardware # fundamentals 1 reaction Comments Add Comment 4 min read How Computers and Phones Actually Boot — From Power Button to Operating System Cristian Sifuentes Cristian Sifuentes Cristian Sifuentes Follow Jan 2 How Computers and Phones Actually Boot — From Power Button to Operating System # softwareengineering # computerscience # linux # programming 1 reaction Comments Add Comment 2 min read How Electronic Circuits Actually Work — From Electrons to Modern Computing Cristian Sifuentes Cristian Sifuentes Cristian Sifuentes Follow Jan 2 How Electronic Circuits Actually Work — From Electrons to Modern Computing # softwareengineering # electronics # computerscience # beginners 1 reaction Comments Add Comment 4 min read How Computers Store Data — From Memory to Meaning Cristian Sifuentes Cristian Sifuentes Cristian Sifuentes Follow Jan 2 How Computers Store Data — From Memory to Meaning # computerscience # fundamentals # architecture # memory 2 reactions Comments Add Comment 4 min read How Files Are Organized — Understanding File Systems and Paths published Cristian Sifuentes Cristian Sifuentes Cristian Sifuentes Follow Jan 2 How Files Are Organized — Understanding File Systems and Paths published # computerscience # fundamentals # filesystem # beginners 1 reaction Comments Add Comment 3 min read Bits & Bytes Explained — The True Foundation of All Software Cristian Sifuentes Cristian Sifuentes Cristian Sifuentes Follow Jan 2 Bits & Bytes Explained — The True Foundation of All Software # computerscience # beginners # programming # ai 1 reaction Comments Add Comment 4 min read How Insertion Sort Works: Simplified Explanation Saptarshi Sarkar Saptarshi Sarkar Saptarshi Sarkar Follow Nov 29 '25 How Insertion Sort Works: Simplified Explanation # algorithms # beginners # computerscience Comments Add Comment 6 min read What Every Programmer Should Know About Memory Part 3 Hamza Hasanain Hamza Hasanain Hamza Hasanain Follow Jan 2 What Every Programmer Should Know About Memory Part 3 # programming # webdev # computerscience # lowcode 6 reactions Comments Add Comment 7 min read Supercomputer Coatlicue: Scientific ambition or political spectacle? Victor Olvera Thome (Vico) Victor Olvera Thome (Vico) Victor Olvera Thome (Vico) Follow Nov 28 '25 Supercomputer Coatlicue: Scientific ambition or political spectacle? # ai # coatlicue # computerscience # mexico Comments Add Comment 5 min read Multimedia Systems Syllabus for MAKAUT CSE 7th Semester Exam Oni Oni Oni Follow Nov 29 '25 Multimedia Systems Syllabus for MAKAUT CSE 7th Semester Exam # computerscience # learning # resources Comments Add Comment 1 min read I thought materials in Unreal Engine were just about colors. I was wrong. They’re more about logic than visuals. Dinesh Dinesh Dinesh Follow Jan 1 I thought materials in Unreal Engine were just about colors. I was wrong. They’re more about logic than visuals. # gamedev # computerscience # resources # gamechallenge Comments 4 comments 2 min read Agentic AI: A Complete Beginner's Guide Payam Hoseini Payam Hoseini Payam Hoseini Follow Jan 2 Agentic AI: A Complete Beginner's Guide # ai # tutorial # machinelearning # computerscience 2 reactions Comments Add Comment 8 min read Inside DBIR 2025: Why Vulnerability Exploits & Credential Abuse Are Dominating Breaches 0x57Origin 0x57Origin 0x57Origin Follow Nov 28 '25 Inside DBIR 2025: Why Vulnerability Exploits & Credential Abuse Are Dominating Breaches # cybersecurity # ai # algorithms # computerscience Comments Add Comment 5 min read Classes in Object-Oriented Programming (OOP) Wangare Wangare Wangare Follow Dec 11 '25 Classes in Object-Oriented Programming (OOP) # beginners # computerscience # programming Comments Add Comment 3 min read How JavaScript Handles Memory Under the Hood — A Complete Deep Dive Ahmed Niazy Ahmed Niazy Ahmed Niazy Follow Nov 28 '25 How JavaScript Handles Memory Under the Hood — A Complete Deep Dive # computerscience # javascript # performance Comments Add Comment 5 min read Cyber Security Syllabus for MAKAUT 7th Semester Oni Oni Oni Follow Nov 28 '25 Cyber Security Syllabus for MAKAUT 7th Semester # computerscience # cybersecurity # learning Comments Add Comment 1 min read How we solved cache invalidation in Kubernetes with a headless service Apoorv Tyagi Apoorv Tyagi Apoorv Tyagi Follow Dec 29 '25 How we solved cache invalidation in Kubernetes with a headless service # computerscience # architecture # kubernetes # distributedsystems Comments 1 comment 4 min read Array Searching Techniques - Linear Search & Binary Search Rahul Raj Rahul Raj Rahul Raj Follow Dec 19 '25 Array Searching Techniques - Linear Search & Binary Search # algorithms # computerscience # java Comments Add Comment 2 min read Xtensa: the CPU architecture you already use (without knowing it) Pʀᴀɴᴀᴠ Pʀᴀɴᴀᴠ Pʀᴀɴᴀᴠ Follow Dec 30 '25 Xtensa: the CPU architecture you already use (without knowing it) # iot # computerscience # performance # architecture 3 reactions Comments Add Comment 2 min read What I Learned Building 20+ Real Projects as a CS + AI/ML Student :- The Practical Roadmap I Wish I Had on Day 1 Kushagra Kushagra Kushagra Follow Nov 29 '25 What I Learned Building 20+ Real Projects as a CS + AI/ML Student :- The Practical Roadmap I Wish I Had on Day 1 # computerscience # ai # android # webdev Comments Add Comment 3 min read Unpacking the Foundation: Understanding Azure's Core Architectural Components Fatunde Adekunle Fatunde Adekunle Fatunde Adekunle Follow Nov 26 '25 Unpacking the Foundation: Understanding Azure's Core Architectural Components # cloud # azure # cloudcomputing # computerscience Comments Add Comment 4 min read What is a file? ANISH ARAZ ANISH ARAZ ANISH ARAZ Follow Nov 25 '25 What is a file? # programming # learning # computerscience # developer Comments Add Comment 2 min read I Made A Fish Schooling Sim And Honestly It Was Fun As Hell A M Armaan A M Armaan A M Armaan Follow Nov 23 '25 I Made A Fish Schooling Sim And Honestly It Was Fun As Hell # computerscience # c # cuda 3 reactions Comments Add Comment 2 min read The saltiest and wrongest article about Big O ever Klaus Kazlauskas Klaus Kazlauskas Klaus Kazlauskas Follow Nov 24 '25 The saltiest and wrongest article about Big O ever # computerscience # webdev # rant # funny 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. 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https://forem.com/petar_liovic_9fb912bdc228 | Petar Liovic - 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 Petar Liovic Full stack dev, Process Automation Architect (Camunda, BPMN, js) Joined Joined on Dec 27, 2025 More info about @petar_liovic_9fb912bdc228 Badges 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single 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 3 posts published Comment 2 comments written Tag 0 tags followed Mathematical Audit of Excalidraw: Finding "Logic Echoes" via Linear Algebra Petar Liovic Petar Liovic Petar Liovic Follow Jan 12 Mathematical Audit of Excalidraw: Finding "Logic Echoes" via Linear Algebra # architecture # computerscience # react # tooling 1 reaction Comments Add Comment 3 min read Want to connect with Petar Liovic? Create an account to connect with Petar Liovic. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in 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 I used Linear Algebra to audit my React state (and built a tool for it) Petar Liovic Petar Liovic Petar Liovic Follow Dec 27 '25 I used Linear Algebra to audit my React state (and built a tool for it) # react # typescript # linearalgebra # webdev 1 reaction Comments Add Comment 4 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/common-cto-startup-pitfalls#7-overlooking-scalability | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. 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 | 2026-01-13T08:49:34 |
https://dumb.dev.to/bingkahu/gemini-told-me-it-had-20-years-in-coding-experience-and-spent-2-hours-debugging-a-for-loop-42p7#the-expert-experience | Gemini told me it had 20 years in coding experience and spent 2 hours debugging a for-loop - DUMB 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. 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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 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 bingkahu Posted on Jan 12 Gemini told me it had 20 years in coding experience and spent 2 hours debugging a for-loop # coding # ai # dumb # debugging The "Expert" Experience So I asked an AI with "20 years of experience" to help me out today. It bragged about building complex game engines, unofficial wikis, and massive websites through GitHub, but then it absolutely folded when it saw a basic for loop. We spent the next two hours staring at the screen together in silence. Turns out, "senior developer" just means you've made the same mistake so many times you've started calling it a feature. 10/10 experience, would debug nothing again. 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 Om Shree Om Shree Om Shree Follow Technical Evangelist | AI Researcher | Simplifying Complex AI & Agent Workflows for Developers Email omshree0709@gmail.com Location India Education Jaypee University Of Information Technology Pronouns He/Him Work Founder of Shreesozo Joined Feb 27, 2025 • Jan 12 Dropdown menu Copy link Hide 😂😂😂 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 bingkahu Follow Full-stack developer focused on decentralized communication and privacy-centric web applications. Lead maintainer of CodeChat, an open-source peer-to-peer messaging platform built on WebRTC and PeerJS Education School Work Student Joined Jan 11, 2026 💎 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 | 2026-01-13T08:49:34 |
https://dev.to/ilyarah/how-i-built-the-fastest-ton-memecoin-sniper-alert-bot-golden-memecoin-alert-121h | How I Built the Fastest TON Memecoin Sniper Alert Bot (Golden-Memecoin-Alert) - 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 ilya rahnavard Posted on Jan 2 How I Built the Fastest TON Memecoin Sniper Alert Bot (Golden-Memecoin-Alert) # webdev # python # blockchain # web3 TON memecoins move insanely fast in late 2025 – early 2026. Most tokens reach peak hype in the first 5–30 minutes after liquidity addition. By the time you see them trending on DexScreener, Telegram channels or Twitter — the move is usually 70–90% over. I got tired of missing entries, so I built Golden-Memecoin-Alert — a focused, low-latency sniper alert system specifically for TON. Repo: https://github.com/ilyarah/Golden-Memecoin-Alert Core Design Goals Detect new Jetton pools within seconds of meaningful liquidity addition Aggressive pre-filtering to remove 90–95% obvious rugs/scams instantly Very high signal-to-noise ratio (quality over quantity) Beautiful, instantly actionable Telegram messages Minimal latency end-to-end ** Architecture (high-level)** TON Center / TonAPI websocket ──► New pool / liquidity tx detector ↓ Pre-filtering engine (5–7 quick checks) ↓ Scoring engine (0–100) + threshold ↓ Async Telegram delivery (aiohttp + python-telegram-bot) ↓ Redis for deduping & rate limiting alerts Enter fullscreen mode Exit fullscreen mode ** Key filtering layers (all executed in <1 second):** Liquidity threshold (configurable, usually ≥$30–50k initial) Creator wallet age + tx history (very young or no history → high risk) Dev wallet concentration after first minutes Sell-tax / honeypot simulation (via quick buy/sell emulation) Early holder distribution (top 5 wallets < 40–50% preferred) Basic social presence check (Telegram group creation near launch) Only tokens passing most filters go to scoring. Scoring Factors (current weights – subject to change) On-chain momentum (volume, buys/sells ratio) → 35% Holder distribution & dev wallet behavior → 25% Social signals (Telegram growth speed) → 20% Risk indicators (tax, honeypot flags) → 15% Time since launch penalty (harder to get high score later) → 5% Alert threshold currently ~78–82 (very strict). Real-world performance (first ~2 months private run) ~180 high-confidence alerts ~38% reached ≥5× from alert price ~11 tokens did 20×–120× False positive rate ~9–11% Median latency: 22 seconds (best cases <10s) Still far from perfect, but meaningfully better than manual monitoring or most public Telegram scanners. Current Telegram Alert Format 🌟 GOLDEN ALERT #142 $SHIBON Launch: 38s ago MC: $142k • Liq: $58k (STON.fi) Buy: https://ston.fi/swap?... Group: t.me/shibon_ton Score: 89/100 Dev: <4% Holders: 420+ (strong early distribution) Risk: Low (no sell tax detected) Time to decide: ~2–5 minutes usually Enter fullscreen mode Exit fullscreen mode Tech Stack (as of v0.1) Python 3.11+ (asyncio heavy) TON Center API v2 + TonAPI websocket python-telegram-bot (async) aiohttp + Redis (caching & dedup) FastAPI for internal monitoring dashboard (optional) ** How to Run Your Own Instance** git clone https://github.com/ilyarah/Golden-Memecoin-Alert.git cd Golden-Memecoin-Alert # Install pip install -r requirements.txt # Create .env from .env.example # Fill TON_API_KEY, TELEGRAM_BOT_TOKEN, etc. python main.py Enter fullscreen mode Exit fullscreen mode Security warning Never run with main wallet. Always review the code yourself. Use limited balance wallets only. Final Notes The TON memecoin meta changes every few weeks. Tools that crushed in Q4 2025 are already lagging in Q1 2026. I open-sourced Golden-Memecoin-Alert because: I believe collective improvement beats solo edge The community can make it faster and smarter than I ever could alone PRs, forks, and brutal feedback are extremely welcome. Stay early. Stay sharp. Ilya ( @ilyarah on GitHub & Telegram) Repo: https://github.com/ilyarah/Golden-Memecoin-Alert Star it if it saves you from missing the next 50×. 🚀 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 ilya rahnavard Follow Self-taught full-stack blockchain Firestarter — wired for Solana, TON, Fantom(Sonic), and Ethereum L2s. I ship, I write, I share Joined Dec 25, 2025 More from ilya rahnavard Supercharge Prediction Markets Liquidity on Sonic with Flying Tulip: The Leverage Flywheel Developers Need in 2026 # fullstack # programming # blockchain # web3 I Built a Maze Runner Simulation Where Teenage Sam Altman Survives the Glade December 25, 2025 # gamedev # python # simulation 💎 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 | 2026-01-13T08:49:34 |
https://future.forem.com/t/blockchain/page/6 | Blockchain Page 6 - 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. 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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 💡 From PowerPoint to Smart Contracts: How $BTC and Web3 Are Rewriting the Rules of Work Emir Taner Emir Taner Emir Taner Follow Oct 7 '25 💡 From PowerPoint to Smart Contracts: How $BTC and Web3 Are Rewriting the Rules of Work # web3 # blockchain # career # bitcoin 5 reactions Comments 2 comments 2 min read A Pro-Russia Disinformation Campaign Is Using Free AI Tools to Fuel a ‘Content Explosion' AI News AI News AI News Follow Jul 8 '25 A Pro-Russia Disinformation Campaign Is Using Free AI Tools to Fuel a ‘Content Explosion' # ai # security # privacy # blockchain 1 reaction Comments Add Comment 1 min read Trump's 'Big Beautiful Bill' May Get a 'Hail Mary' Bitcoin Tax Exemption Crypto News Crypto News Crypto News Follow Jul 1 '25 Trump's 'Big Beautiful Bill' May Get a 'Hail Mary' Bitcoin Tax Exemption # crypto # blockchain # fintech # security 4 reactions Comments Add Comment 1 min read 42% of American Millennials Use Crypto for Purchases Crypto News Crypto News Crypto News Follow Apr 29 '25 42% of American Millennials Use Crypto for Purchases # cryptocurrency # blockchain 1 reaction Comments Add Comment 1 min read Ripple Hacked? Crypto News Crypto News Crypto News Follow Apr 29 '25 Ripple Hacked? # cryptocurrency # blockchain 3 reactions Comments Add Comment 1 min read Arizona legislature passes Bitcoin reserve bill, Governor approval pending Crypto News Crypto News Crypto News Follow Apr 29 '25 Arizona legislature passes Bitcoin reserve bill, Governor approval pending # cryptocurrency # blockchain 2 reactions Comments Add Comment 1 min read How web3 and block chain changes our future!🚀 Lakshmi Priya Aravamuthan Lakshmi Priya Aravamuthan Lakshmi Priya Aravamuthan Follow Mar 29 '25 How web3 and block chain changes our future!🚀 # futurechallenge # ai # blockchain # web3 14 reactions Comments Add Comment 1 min read A whopping $555m liquidation has now hit the crypto market Crypto News Crypto News Crypto News Follow Feb 3 '25 A whopping $555m liquidation has now hit the crypto market # cryptocurrency # blockchain 3 reactions Comments Add Comment 1 min read Young Hacker Used ‘Glitch’ To Steal $48,800,000 in Crypto From Trading Platform KyberSwap, Allege Feds Crypto News Crypto News Crypto News Follow Feb 6 '25 Young Hacker Used ‘Glitch’ To Steal $48,800,000 in Crypto From Trading Platform KyberSwap, Allege Feds # cryptocurrency # blockchain 5 reactions Comments Add Comment 1 min read Ripple announces the acquisition of money transfer licenses in New York and Texas Crypto News Crypto News Crypto News Follow Jan 29 '25 Ripple announces the acquisition of money transfer licenses in New York and Texas # cryptocurrency # blockchain Comments Add Comment 1 min read DeepSeek Sparks Crypto Sell-Off, Nearly $1 Billion Liquidated in 24 Hours Crypto News Crypto News Crypto News Follow Jan 27 '25 DeepSeek Sparks Crypto Sell-Off, Nearly $1 Billion Liquidated in 24 Hours # cryptocurrency # blockchain 3 reactions Comments Add Comment 1 min read BlackRock Buys Another $1,000,000,000 Worth of Bitcoin in a Week To Control 2.7% of BTC Supply - The Daily Hodl Crypto News Crypto News Crypto News Follow Jan 28 '25 BlackRock Buys Another $1,000,000,000 Worth of Bitcoin in a Week To Control 2.7% of BTC Supply - The Daily Hodl # cryptocurrency # blockchain Comments Add Comment 1 min read Sony Just Launched an Ethereum Network—Will It Get PlayStation Games? Crypto News Crypto News Crypto News Follow Jan 18 '25 Sony Just Launched an Ethereum Network—Will It Get PlayStation Games? # cryptocurrency # blockchain 2 reactions Comments 1 comment 1 min read Google Cryptocurrency Searches Explode to Five-Year High Crypto News Crypto News Crypto News Follow Jan 21 '25 Google Cryptocurrency Searches Explode to Five-Year High # cryptocurrency # blockchain 4 reactions Comments Add Comment 1 min read SEC Chair Gary Gensler Now Officially Resigns From His Position Crypto News Crypto News Crypto News Follow Jan 20 '25 SEC Chair Gary Gensler Now Officially Resigns From His Position # cryptocurrency # blockchain 1 reaction Comments Add Comment 1 min read TRUMP Token Stuns Crypto World, Becomes 14th Largest by Market Cap in Record Time Crypto News Crypto News Crypto News Follow Jan 20 '25 TRUMP Token Stuns Crypto World, Becomes 14th Largest by Market Cap in Record Time # cryptocurrency # blockchain 1 reaction 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 Future — News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. 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https://www.fine.dev/blog/ai-tools-for-programmers#8-callstack-pr-reviewer | AI for Programmers: Top Tools to Supercharge Your Development Workflow Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI for Programmers: Top Tools to Supercharge Your Development Workflow AI is reshaping how programmers work, making it easier to handle repetitive tasks, boost productivity, and improve efficiency. This blog will guide you through some of the best AI tools for programmers available today, tailored to help you code faster, debug smarter, and collaborate effectively. Whether you're a beginner or an experienced developer, these platforms can make a real difference in your workflow. Let's get started with Fine. Table of Contents Fine Cursor Replit AI Bolt.new Devin Aider bloop Callstack PR Reviewer OpenHands Zencoder 1. Fine (AI for programmers) Fine is a comprehensive AI-powered software development platform designed to make coding seamless and efficient. By integrating AI Agents , Fine enables programmers to automate repetitive tasks like generating boilerplate code, updating schemas, and managing APIs. Its AI Sandboxing feature allows users to build, run, and test AI-generated code directly in a secure browser-based environment. It's fully mobile friendly and offers powerful integrations with GitHub, Linear and Slack - allowing for full context awareness and maximum collaboration. Highlights: AI Palette for real-time assistance. Integration with GitHub and Linear for end-to-end project management. Specs-driven development ensures alignment with project goals. Fine is designed to empower developers, allowing them to focus on innovation while leaving routine tasks to AI. At just $13-15 per month, it's a deal for any startup looking to save time and ship more. 2. Cursor Cursor offers an AI-powered code editor built on Visual Studio Code (VS Code). It includes features like Cursor Tab for intelligent auto-completion and Chat Integration for codebase-aware interactions. Cursor’s functionality is limited beyond code generation and debugging, and it requires significant configuration for advanced team collaboration. 3. Replit AI Replit AI provides integrated AI capabilities for its cloud-based IDE. It offers code completion, bug fixes, and code generation. Replit AI is heavily tied to its ecosystem and is more suited to beginner-to-intermediate developers than advanced users. 4. Bolt.new (AI for web developers) Bolt.new is an AI agent for web development, allowing developers to build, run, and deploy full-stack applications directly in the browser. Currently in beta, Bolt.new offers limited stability and focuses solely on web development, making it less versatile for other programming needs. 5. Devin Devin by Cognition is an autonomous AI software engineer designed to execute complex engineering tasks. Still in early access, Devin is focused on specific use cases and is less reliable for general-purpose programming. 6. Aider Aider is an open-source AI pair programming tool that integrates with Git repositories for local coding assistance. It requires API keys and setup for AI model integration and is limited to terminal-based interaction, which may not suit all developers. Fine includes unlimited access to leading LLMs such as o1-preview and Claude 3-5 Sonnet, with no need for your own API keys. 7. bloop Bloop specializes in modernizing legacy codebases, particularly COBOL. It offers tools for translating legacy code into modern languages. Bloop is highly specialized for legacy code modernization and offers limited functionality for general-purpose programming. 8. Callstack PR Reviewer This tool automates code reviews, identifying bugs and enforcing coding standards in GitHub and GitLab. Callstack PR Reviewer focuses on pull request reviews and lacks features for standalone development tasks. 9. OpenHands OpenHands provides a zero-setup AI coding experience within a cloud-based Visual Studio Code environment. Dependence on cloud infrastructure may not suit developers working offline or in secure environments, and its focus is limited to AI coding assistance. 10. Zencoder Zencoder uses AI agents to enhance coding workflows, with a focus on syntactic and semantic code analysis. Zencoder primarily supports iterative improvements and lacks versatility for new project creation or diverse programming needs. Why Fine Stands Out as an AI tool for Programmers While each platform offers unique advantages, Fine delivers the most comprehensive AI solution for programmers of all skill levels. Its integration of AI Agents, Sandboxing, and seamless collaboration tools makes it a one-stop shop for development teams. Unlike other platforms, Fine doesn’t compromise on versatility, supporting everything from boilerplate code generation to full project management. Ready to transform your workflow? Sign up for Fine today and experience the best in AI for programmers . The source of information for each platform has been provided in a link. Information was collected on 20.11.24 and may be incorrect, incomplete or out-of-date. 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 | 2026-01-13T08:49:34 |
https://www.tech-reader.blog | Tech-Reader.blog Skip to main content Search This Blog Tech-Reader.blog Technology Learning Made Simple Pages Home Tech-Reader.com More… Posts The Secret Life of JavaScript: Identity Get link Facebook X Pinterest Email Other Apps - January 12, 2026   The Secret Life of JavaScript: Identity # javascript # coding # programming # software Why  this  is undefined. A visual guide to the "Left of the Dot" rule Timothy slumped into a chair at the main worktable, dropping his pen onto a piece of code. He looked exhausted. "I don't understand who I am anymore, Margaret," he muttered. Margaret paused her sorting and walked over. "That is a deep philosophical question, Timothy." "It’s not philosophy. It’s this function," he said, tapping the paper. "I wrote a  printName  function inside my  user  object. When I run it, it prints 'Timothy'. But when I pass that  exact same function  to a helper, it forgets who it is. It prints  undefined . It’s having an identity crisis." Margaret pulled a rolling chalkboard over to the table. She picked up a piece of chalk. "The function is not having a crisis," she said. "You are simply assuming that  Identity  ( this ) belongs to... Post a Comment Read more AWS DynamoDB ↔ Lambda Errors: A Fix-It Series Get link Facebook X Pinterest Email Other Apps - January 12, 2026   AWS DynamoDB ↔ Lambda Errors: A Fix-It Series # aws # dynamodb # lambda # devops A production-focused guide to the failure modes of event-driven state The Thesis This is not an introduction to AWS. This is not a reference manual. This is the guide to what happens when “correct” architecture meets production reality. When you connect  Amazon DynamoDB  to  AWS Lambda  at scale, you are no longer just writing code — you are operating a distributed system. Most tutorials show how to make it work. This series focuses on what breaks  after  everything appears to be working: duplicate writes, phantom retries, silent data corruption, and state drift that only shows up weeks later. This is an operator-grade Fix-It series about  events, retries, and data integrity . Who This Is For Builders  running event-driven workloads who need more than “at-least-once” explanations SREs and Architects  investigating why a Lambda ran six times despite a succe... Post a Comment Read more The AWS Cloudfront Fix-It Series Get link Facebook X Pinterest Email Other Apps - January 12, 2026   The AWS Cloudfront Fix-It Series # aws # cloudfront # devops # cloud A troubleshooting field guide for Amazon CloudFront AWS CloudFront is not a black box; it is a layered system of edges, caches, and origins. When it fails, it leaves specific signals—but you have to know where to look. This series moves beyond "try invalidating it" and provides a methodical approach to diagnosing and fixing the most common CloudFront failures. The Lineup Fix-It #1: 403, 404, and 502 — What CloudFront Is Really Telling You Decodes the three primary infrastructure signals to tell you exactly which layer (Edge, Origin, or Trust) is rejecting your request. Fix-It #2: “Why Didn’t My Change Apply?” — Caching, TTLs, and Propagation Reality Explains why valid configuration changes remain invisible, distinguishing between Edge caching, Browser caching, and the role of invalidations. Fix-It #3: TLS, ACM, and Certificate Mismatch Failures Solves the "us-east-1" requirement, CNAME circular d... Post a Comment Read more AWS CloudFront Error: Debugging CloudFront When You Can’t SSH Into Anything Get link Facebook X Pinterest Email Other Apps - January 12, 2026   AWS CloudFront Error: Debugging CloudFront When You Can’t SSH Into Anything # aws # cloudfront # devops # cloud How CloudFront failures can be diagnosed methodically using logs, metrics, and request signals when there is no server access and no single place to look Problem CloudFront is misbehaving, but there is nothing to log into. There is no SSH, no shell, no application process to tail. Requests fail, stall, or behave inconsistently, and it’s unclear where the problem actually lives. Clarifying the Issue Amazon CloudFront  is a control-plane–driven, edge-distributed system. That means: Failures rarely exist in one place Requests pass through multiple layers you don’t control Observability is  indirect  by design Debugging CloudFront is not about access. It is about signals. Every CloudFront problem leaves traces — just not where traditional server instincts expect them. Why It Matters When teams can’t “see” CloudFront, they tend to: Guess Redeploy Invalidate bl... Post a Comment Read more AWS CloudFront Error: Headers That Disappear, Reappear, or Mutate at the Edge Get link Facebook X Pinterest Email Other Apps - January 12, 2026   AWS CloudFront Error: Headers That Disappear, Reappear, or Mutate at the Edge # aws # cloudfront # devops # cloud How CloudFront requests work correctly at the origin but behave inconsistently at the edge due to header forwarding rules, cache keys, and CORS interactions Problem Requests served through  Amazon CloudFront  behave differently than requests sent directly to the origin. Expected headers are missing, unexpected headers appear, or responses vary unpredictably between users. CORS errors occur even though the origin appears correctly configured. Clarifying the Issue CloudFront does  not  forward all headers by default. Instead, CloudFront: Filters  headers based on the  Origin Request Policy Splits  cache entries based on the  Cache Policy Injects  its own headers (for example, geolocation and device metadata) This means CloudFront can legitimately return a response that  never hit your origin , even though the incoming re... Post a Comment Read more More posts Powered by Blogger Theme images by RBFried Copyright © 2023 Tech-Reader.blog All Rights Reserved Archive 2026 37 January 37 The Secret Life of JavaScript: Identity AWS DynamoDB ↔ Lambda Errors: A Fix-It Series The AWS Cloudfront Fix-It Series AWS CloudFront Error: Debugging CloudFront When Yo... AWS CloudFront Error: Headers That Disappear, Reap... The Secret Life of AWS: The Walled Garden The Secret Life of Go: Interfaces The Azure Blob Storage Trilogy Azure Blob Storage: Authentication, Access, and th... Azure Blob Storage: A Deeper Dive Into Architectur... Azure Blob Storage: The Cloud Primitive You End Up... The Secret Life of AWS: The Bottomless Basement AWS CloudFront Error: Performance & Latency Failur... AWS CloudFront Error: TLS, ACM, and Certificate Mi... AWS CloudFront Error: “Why Didn’t My Change Apply?... AWS CloudFront Error: 403, 404, and 502 — What Clo... The Secret Life of AWS: The Empty Room The Secret Life of Go: Testing AWS API Gateway Fix-It Vol.1: The Complete Trouble... AWS API Gateway Error: Custom Domain & Base Path M... The Secret Life of AWS: The Ring of Keys The Secret Life of Python: The Matryoshka Trap AWS API Gateway Error: Stage Drift & Deployment Co... AWS API Gateway Error: CORS Failures That Aren’t CORS The Secret Life of AWS: The Map of the World The Secret Life of Python: The Dangerous Reflection AWS API Gateway Error: Custom Authorizers Masking ... AWS API Gateway Error: Lambda Integration Permissi... The Secret Life of JavaScript: Illusions AWS API Error: REST API vs HTTP API — Why the Same... AWS API Gateway Error: “403 Forbidden” vs. “Missin... The Secret Life of JavaScript: Memories The Complete SQS Troubleshooting Guide (The Most C... AWS SQS Error: SQS Redrive Back to Source AWS Error: SQS Long Polling vs Short Polling AWS SQS Error: SQS Message Retention Period AWS SQS Error: SQS Dead-Letter Queue (DLQ) Redrive... 2025 822 December 60 November 68 October 111 September 98 August 54 July 35 June 30 May 48 April 77 March 101 February 78 January 62 2024 360 December 40 November 43 October 53 September 36 August 50 July 64 June 47 May 1 March 23 February 3 2023 226 July 5 June 20 May 10 April 19 March 30 February 44 January 98 Show more Show less Report Abuse | 2026-01-13T08:49:34 |
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https://opensource.org/press-mentions/publication/etsi | ETSI – 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 Blog ETSI Publication: ETSI September 16, 2025 ETSI Elects Three Prominent Leaders to Drive the Creation of New Standards under the EU Cyber Resilience Act ETSI ETSI is pleased to announce it has elected three new officials to lead EUSR Working Group within TC CYBER, a standardisation working group to support the EU Cyber Resilience Act. In response to a request from the European Commission in early June of this year, ETSI is facilitating the harmonisation of cybersecurity standards for digital products across the EU. Its three new appointments, Sandra Feliciano (Chair), Dr George Sharkov (Vice-Chair), and Simon Phipps (Vice-Chair) bring a wealth of diverse expertise in standardisation, conformity assessment, SMEs and open source software development. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/can-ai-build-an-app#smooth-deployment-for-a-live-app | Can AI Build Me an App? Discover How Fine Empowers You to Create Your Own App Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Can AI Build Me an App? Discover How Fine Empowers You to Create Your Own App Building an app was once for experienced developers only, but with Fine’s AI App Building Platform, anyone can bring their ideas to life—no coding expertise required. In this blog, we'll answer the question, "can AI build me an app?" by showing you how Fine simplifies every step of the process, from design to deployment. Table of Contents Introduction to Fine's App Building Platform Designing Your App’s Look and Feel Powering Your App with a Smart Backend Effortless Data Management Seamless User Authentication Smooth Deployment for a Live App Conclusion: Your App, Built by AI Introduction to Fine's App Building Platform Fine is designed to remove the complexity from app development. Whether you're an entrepreneur, a business owner, or someone with a great idea, Fine answers the common question: "can AI build me an app?" The answer is yes. Fine uses artificial intelligence to guide you through creating a complete, professional app—all without requiring you to write a single line of code. Designing Your App’s Look and Feel Creating an attractive and user-friendly interface is crucial for your app's success. Fine designs the app based on your prompts - no drag-and-drop required. It automatically follows design best-practices for a clean, easy-to-understand UI. Read more about how to prompt to create your Frontend . Using Fine AI to build your app will ensure it’s responsive to different screen sizes - including desktop, tablet and mobile - and coherent by following brand guidelines. It’s easy to update your fonts, colours and icons by just prompting. Powering Your App with a Smart Backend Behind every great app is a powerful backend that handles data, logic, and interactions. Fine’s AI-driven backend setup takes care of all these technical tasks for you. By automatically generating and configuring the backend, Fine ensures that your app runs smoothly and securely. You don't have to worry about the complexities of server management—the platform does it all. Fine’s AI doesn’t require you to connect to an external platform for your backend - it’s all built in to the AI app building platform. Effortless Data Management Your app needs to store and manage information reliably. Fine integrates a user-friendly database solution that makes data management simple. Whether it's storing user details or keeping track of app content, Fine’s database functionality is designed for ease of use, so you can focus on what matters most—growing your idea. Learn more about Fine’s built-in Database . Seamless User Authentication Security and user management are key to any successful app. Fine includes built-in authentication features that let you add sign-up, login, and secure user access without any extra hassle. This means you can easily protect your app and offer a smooth experience for your users. AI can configure different permission levels and make it easy to add login with familiar methods such as email and password without complex setup. Smooth Deployment for a Live App After building your app, the next step is launching it to the world. Fine takes care of the deployment process, ensuring that your app is live and accessible with minimal effort. The platform’s deployment features streamline the process, allowing you to focus on engaging with your users and growing your business. You can deploy to a free subdomain, custom branded domain and a preview environment for each change. Conclusion: Your App, Built by AI The answer to "can AI build me an app?" is a confident yes—with Fine, you have the power to create a fully functional, professional app without any technical barriers. By combining intuitive design tools, AI-powered backend management, seamless data handling, robust security, and effortless deployment, Fine turns your app ideas into reality. Whether you're looking to launch a startup, enhance your business, or simply experiment with new digital solutions, Fine’s comprehensive platform is your gateway to innovation. Dive into the resources on Fine App Building Docs and start building today! 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 | 2026-01-13T08:49:34 |
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https://www.fine.dev/blog/ai-tools-for-programmers#10-zencoder | AI for Programmers: Top Tools to Supercharge Your Development Workflow Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI for Programmers: Top Tools to Supercharge Your Development Workflow AI is reshaping how programmers work, making it easier to handle repetitive tasks, boost productivity, and improve efficiency. This blog will guide you through some of the best AI tools for programmers available today, tailored to help you code faster, debug smarter, and collaborate effectively. Whether you're a beginner or an experienced developer, these platforms can make a real difference in your workflow. Let's get started with Fine. Table of Contents Fine Cursor Replit AI Bolt.new Devin Aider bloop Callstack PR Reviewer OpenHands Zencoder 1. Fine (AI for programmers) Fine is a comprehensive AI-powered software development platform designed to make coding seamless and efficient. By integrating AI Agents , Fine enables programmers to automate repetitive tasks like generating boilerplate code, updating schemas, and managing APIs. Its AI Sandboxing feature allows users to build, run, and test AI-generated code directly in a secure browser-based environment. It's fully mobile friendly and offers powerful integrations with GitHub, Linear and Slack - allowing for full context awareness and maximum collaboration. Highlights: AI Palette for real-time assistance. Integration with GitHub and Linear for end-to-end project management. Specs-driven development ensures alignment with project goals. Fine is designed to empower developers, allowing them to focus on innovation while leaving routine tasks to AI. At just $13-15 per month, it's a deal for any startup looking to save time and ship more. 2. Cursor Cursor offers an AI-powered code editor built on Visual Studio Code (VS Code). It includes features like Cursor Tab for intelligent auto-completion and Chat Integration for codebase-aware interactions. Cursor’s functionality is limited beyond code generation and debugging, and it requires significant configuration for advanced team collaboration. 3. Replit AI Replit AI provides integrated AI capabilities for its cloud-based IDE. It offers code completion, bug fixes, and code generation. Replit AI is heavily tied to its ecosystem and is more suited to beginner-to-intermediate developers than advanced users. 4. Bolt.new (AI for web developers) Bolt.new is an AI agent for web development, allowing developers to build, run, and deploy full-stack applications directly in the browser. Currently in beta, Bolt.new offers limited stability and focuses solely on web development, making it less versatile for other programming needs. 5. Devin Devin by Cognition is an autonomous AI software engineer designed to execute complex engineering tasks. Still in early access, Devin is focused on specific use cases and is less reliable for general-purpose programming. 6. Aider Aider is an open-source AI pair programming tool that integrates with Git repositories for local coding assistance. It requires API keys and setup for AI model integration and is limited to terminal-based interaction, which may not suit all developers. Fine includes unlimited access to leading LLMs such as o1-preview and Claude 3-5 Sonnet, with no need for your own API keys. 7. bloop Bloop specializes in modernizing legacy codebases, particularly COBOL. It offers tools for translating legacy code into modern languages. Bloop is highly specialized for legacy code modernization and offers limited functionality for general-purpose programming. 8. Callstack PR Reviewer This tool automates code reviews, identifying bugs and enforcing coding standards in GitHub and GitLab. Callstack PR Reviewer focuses on pull request reviews and lacks features for standalone development tasks. 9. OpenHands OpenHands provides a zero-setup AI coding experience within a cloud-based Visual Studio Code environment. Dependence on cloud infrastructure may not suit developers working offline or in secure environments, and its focus is limited to AI coding assistance. 10. Zencoder Zencoder uses AI agents to enhance coding workflows, with a focus on syntactic and semantic code analysis. Zencoder primarily supports iterative improvements and lacks versatility for new project creation or diverse programming needs. Why Fine Stands Out as an AI tool for Programmers While each platform offers unique advantages, Fine delivers the most comprehensive AI solution for programmers of all skill levels. Its integration of AI Agents, Sandboxing, and seamless collaboration tools makes it a one-stop shop for development teams. Unlike other platforms, Fine doesn’t compromise on versatility, supporting everything from boilerplate code generation to full project management. Ready to transform your workflow? Sign up for Fine today and experience the best in AI for programmers . The source of information for each platform has been provided in a link. Information was collected on 20.11.24 and may be incorrect, incomplete or out-of-date. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/ai-replace-programmers-nl#pricing | Zal AI programmeurs vervangen? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Zal AI programmeurs vervangen? De vraag "Zal AI programmeurs vervangen?" circuleert in technologische kringen en wekt zowel enthousiasme als bezorgdheid op. Naarmate AI-gestuurde coderingstools geavanceerder worden, is het de moeite waard om te vragen: waar laat dit de menselijke ontwikkelaars? Laten we de perspectieven van toonaangevende stemmen in het veld verkennen. Het Argument voor AI die Ontwikkeling Revolutioneert AI Transformeert Softwareontwikkeling AI verandert onmiskenbaar onze benadering van softwareontwikkeling. Tools zoals GitHub Copilot en platforms zoals Fine stellen ontwikkelaars in staat om repetitieve taken te stroomlijnen. Zoals een artikel opmerkt , "AI kan codefragmenten of volledige functies produceren op basis van natuurlijke taalopdrachten, waardoor de ontwikkeling wordt gestroomlijnd" (The Tech Bible). Coderen Toegankelijker Maken Deze tools besparen niet alleen tijd; ze maken coderen ook toegankelijker. AI kan bijvoorbeeld beginners helpen met realtime begeleiding, als een persoonlijke mentor Techies Spot . Dit verlaagt de drempel voor softwareontwikkeling en opent de deur voor meer mensen om deel te nemen aan de industrie. Zal AI Programmeurs Volledig Vervangen? De consensus lijkt een duidelijk nee te zijn. Hoewel AI uitblinkt in het automatiseren van repetitieve taken, mist het de creativiteit, intuïtie en probleemoplossende vaardigheden die menselijke programmeurs met zich meebrengen. Zoals Jonathan's Musings uitlegt, "AI kan code genereren, maar het begrijpen van complexe vereisten en deze vertalen naar robuuste oplossingen vereist nog steeds menselijke inzicht." Peter H. Diamandis deelt dit gevoel en stelt: "In plaats van programmeurs te vervangen, zal AI fungeren als een vermenigvuldiger, waardoor ontwikkelaars zich kunnen concentreren op taken van een hoger niveau." Wanneer Zal AI Programmeurs Vervangen? De vraag wanneer, als het ooit gebeurt, AI programmeurs zal vervangen, is complex. Huidige AI-modellen, hoewel krachtig, hebben aanzienlijke beperkingen. Ze missen echt begrip, genereren vaak onjuiste of onveilige code en vereisen menselijke supervisie om kwaliteit en betrouwbaarheid te waarborgen. Deze beperkingen betekenen dat AI nog ver verwijderd is van het volledig kunnen vervangen van menselijke programmeurs. De Evolutie van AI-capaciteiten AI ontwikkelt zich snel, en het is mogelijk dat toekomstige iteraties complexere ontwikkelingstaken aankunnen. De tijdlijn hiervoor is echter onzeker. Experts geloven dat AI menselijke ontwikkelaars zal blijven aanvullen in plaats van ze volledig te vervangen in de nabije toekomst. Het menselijk vermogen om context te begrijpen, oordelen te vellen en problemen creatief op te lossen blijft onvervangbaar. AI als Partner van de Programmeur Samenwerkende Rol van AI Het meest veelbelovende perspectief op AI in programmeren is de rol als samenwerkende partner. Ontwikkelaars kunnen AI gebruiken om routinetaken te automatiseren, standaardcode te genereren en zelfs complexe systemen te debuggen. Volgens Billy Newport zullen "AI-coderingassistenten naadloos integreren in tools zoals GitHub, fungeren als snelle en efficiënte medewerkers in plaats van vervangers" (Billy Newport). Fine’s AI Ontwikkelaarsoplossing De AI-ontwikkelaarsoplossing van Fine is een perfect voorbeeld van deze samenwerking in actie. Met functies zoals Live Previews en AI Workflows stelt Fine ontwikkelaars in staat om code in realtime te schrijven, testen en verfijnen. Door het banale te automatiseren, kunnen ontwikkelaars zich richten op innovatie en probleemoplossing. Conclusie Zal AI dus programmeurs vervangen? Het antwoord is nee, maar het zal ze productiever, creatiever en invloedrijker maken dan ooit. AI is geen vervanging voor menselijke genialiteit; het is een hulpmiddel om het te verbeteren. Naarmate de industrie evolueert, zullen platforms zoals Fine de leiding nemen en ontwikkelaars helpen meer te bereiken met minder wrijving. Fine is een ideale oplossing voor startups die hun ontwikkelingsprocessen willen optimaliseren en de productiviteit willen maximaliseren zonder grote teams nodig te hebben. Door repetitieve taken te automatiseren, stelt Fine startup-teams in staat zich te concentreren op innovatie en hun time-to-market te versnellen. Geïnteresseerd om het uit te proberen? Meld je vandaag nog aan bij Fine en zie hoe AI je codereis kan versterken en je startup efficiënt kan helpen opschalen. Met AI in je gereedschapskist ziet de toekomst van programmeren er veelbelovender uit dan ooit. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/how-to-use-github-copilot#why-does-github-copilot-hallucinate | How to Use GitHub Copilot Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Use GitHub Copilot Introduction GitHub Copilot has been a game-changer for developers looking to write code faster, with fewer errors, and a smoother workflow. It's an AI pair programmer that takes a lot of the heavy lifting out of coding, freeing up your time and energy to focus on the bigger picture. In this blog post, we'll dive into how to use GitHub Copilot effectively and explore how it can significantly improve your productivity as a developer. But we'll also go one step further and look at what else AI can do for developers beyond GitHub Copilot's capabilities. Stick around until the end, where we'll explore how Fine can fill in the gaps. Table of Contents Introduction What Can GitHub Copilot Do? How GitHub Copilot Can Make You Faster Practical Steps to Use GitHub Copilot Why Does GitHub Copilot Hallucinate? Best Practices for Using Copilot Safely Limitations of GitHub Copilot What Else Can AI Do for Developers? Conclusion What Can GitHub Copilot Do? GitHub Copilot is designed to be your AI assistant, generating code suggestions based on the context of your work. Here are some of its standout features: Code Generation: Copilot can generate whole lines or even blocks of code, based on natural language comments or existing code context. Autocomplete Functionality: It helps autocomplete methods, variables, and even complex logic based on what it thinks you need next, making your coding process faster and less repetitive. Code Examples and Snippets: If you're dealing with a function or algorithm you're not familiar with, Copilot can provide examples to guide you. Multi-language Support: Copilot isn't limited to a specific language; it supports Python, JavaScript, TypeScript, Ruby, and many more. How GitHub Copilot Can Make You Faster Speed Up Boilerplate Code: By generating repetitive boilerplate code, Copilot saves hours that developers often lose to monotonous tasks. Discover New APIs and Methods: It can introduce you to libraries or functions that you might not be familiar with, expanding your toolkit while you're working. Natural Language to Code: Simply typing what you want in plain English can lead Copilot to write the corresponding code for you. This saves time looking up syntax or fiddling with commands. Practical Steps to Use GitHub Copilot Install the Extension : First, install GitHub Copilot from the Visual Studio Code extensions marketplace. Activate Copilot : Once installed, make sure to sign in with your GitHub account to activate Copilot. Write Natural Language Comments : Start by writing comments like "// Create a function to calculate Fibonacci numbers". Copilot will suggest code based on your comments. Accept or Modify Suggestions : Review Copilot's suggestions and either accept them, modify them, or ask for alternatives by pressing Tab to cycle through options. Customize Settings : Go into Copilot's settings and tweak how often you receive suggestions, the types of suggestions, and more, to tailor the experience to your workflow. Why Does GitHub Copilot Hallucinate? GitHub Copilot can sometimes generate code that seems correct but actually contains logical flaws, outdated practices, or even completely incorrect information. This phenomenon is often referred to as AI "hallucination." These hallucinations occur because Copilot generates responses based on the vast datasets it was trained on, but it doesn't fully understand the context or correctness of the code. Instead, it predicts what comes next based on patterns it has seen before. Additionally, Copilot has limitations in understanding broader project-specific contexts, which can lead to suggestions that don't align with your particular use case. This is why reviewing and testing the code suggestions provided by Copilot is always necessary to avoid unintended errors or vulnerabilities. Best Practices for Using Copilot Safely To make the most of GitHub Copilot while ensuring your code remains secure and of high quality, consider these best practices: Always Review Generated Code : Never assume the generated code is flawless. Make sure to review it thoroughly to avoid introducing bugs or vulnerabilities into your project. Test All Suggestions : Just like any other code, make sure to test the suggestions provided by Copilot. This helps you catch any mistakes or unexpected behaviors early on. Avoid Sensitive Data Handling : Do not use Copilot for generating code that handles sensitive information, like authentication or encryption, as it may inadvertently introduce security risks. Understand the Code : Use Copilot as a guide, not a crutch. Always strive to understand the code being generated, so you can effectively modify and maintain it over time. Limitations of GitHub Copilot While Copilot is a powerful tool, it's important to recognize its limitations: Lack of Deep Context Awareness : Copilot generates suggestions based on the immediate context but lacks a deep understanding of your entire project. This means it might provide code that doesn't fit well with your broader application logic. Risk of Outdated Practices : The AI model was trained on a large dataset that includes both modern and outdated code. As a result, it can sometimes suggest practices that are no longer recommended. Potential Security Risks : Since Copilot generates code based on patterns it has seen, it may inadvertently include insecure coding practices. This makes it crucial for developers to have a good understanding of security best practices when using it. No Guarantee of Originality : The code Copilot suggests may resemble code from public repositories, potentially raising licensing concerns. Be mindful of this when using its suggestions in proprietary software. What Else Can AI Do for Developers? GitHub Copilot is amazing, but it's not the only player in the field of AI-driven development tools . If you want more than just code suggestions, let’s look at some other tasks that AI can automate for you, and this is where Fine comes into the picture. Help Getting Started: If you're not sure how to begin addressing a feature or an issue, or if you're not sure where in the codebase the relevant code is, just ask Fine. Within GitHub Issues or Linear, you can comment /guideme and Fine will break down the task for you. Answer Questions About Your Code: You can ask Fine questions about your code or different tasks you've been given to get quick answers. Using the power of the LLMs and the knowledge of your codebase, Fine will help you solve puzzles. Revisions to PRs in your browser: Need to make a small change to a PR? Fine allows you to comment /revise on the PR in GitHub followed by the change you'd like and the AI does it for you. Comprehensive Code Documentation : Fine automatically documents your code and changes, making it easier for your team to understand and maintain code for years to come. Automate AI workflows: Using Fine, you can set up AI to perform repeated tasks automatically - such as summarizing and reviewing all new PRs. Conclusion GitHub Copilot is an incredible AI assistant that can boost your efficiency by speeding up coding tasks, reducing repetition, and helping you learn on the go. But, if you're looking to level up your entire development process, from security to bug detection and comprehensive documentation, Fine has a lot to offer. Ready to see how AI can transform the way you work beyond code suggestions? Sign up for Fine today and discover the difference. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/ai-replace-programmers-fr#pricing | L'IA remplacera-t-elle les programmeurs ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back L'IA remplacera-t-elle les programmeurs ? La question « L'IA remplacera-t-elle les programmeurs ? » circule dans les cercles technologiques, suscitant à la fois excitation et inquiétude. À mesure que les outils de codage alimentés par l'IA deviennent plus avancés, il est légitime de se demander : où cela laisse-t-il les développeurs humains ? Explorons les perspectives des voix de premier plan dans le domaine. L'argument en faveur de la révolution de l'IA dans le développement L'IA transforme le développement logiciel L'IA transforme indéniablement notre approche du développement logiciel. Des outils comme GitHub Copilot et des plateformes comme Fine permettent aux développeurs de rationaliser les tâches répétitives. Comme le note un article , « L'IA peut produire des extraits de code ou des fonctions entières basées sur des invites en langage naturel, rationalisant le développement » (The Tech Bible). Rendre le codage plus accessible Ces outils ne se contentent pas de faire gagner du temps ; ils rendent également le codage plus accessible. Par exemple, l'IA peut aider les débutants avec des conseils en temps réel, agissant comme un mentor personnel Techies Spot . Cela abaisse la barrière à l'entrée pour le développement logiciel, ouvrant des portes à davantage de personnes pour participer à l'industrie. L'IA remplacera-t-elle entièrement les programmeurs ? Le consensus semble être un non retentissant. Bien que l'IA excelle à automatiser les tâches répétitives, elle manque de la créativité, de l'intuition et des compétences en résolution de problèmes que les programmeurs humains apportent. Comme l'explique Jonathan's Musings, « L'IA pourrait générer du code, mais comprendre des exigences complexes et les traduire en solutions robustes nécessite encore une perspicacité humaine. » Peter H. Diamandis fait écho à ce sentiment , déclarant, « Plutôt que de remplacer les programmeurs, l'IA agira comme un multiplicateur, permettant aux développeurs de se concentrer sur des tâches de niveau supérieur ». Quand l'IA remplacera-t-elle les programmeurs ? La question de savoir quand, voire si, l'IA remplacera les programmeurs est complexe. Les modèles d'IA actuels, bien que puissants, ont des limitations significatives. Ils manquent de véritable compréhension, génèrent souvent du code incorrect ou non sécurisé, et nécessitent une supervision humaine pour garantir la qualité et la fiabilité. Ces limitations signifient que l'IA est encore loin de pouvoir remplacer entièrement les programmeurs humains. L'évolution des capacités de l'IA L'IA progresse rapidement, et il est possible que les futures itérations puissent gérer des tâches de développement plus complexes. Cependant, le calendrier pour cela est incertain. Les experts pensent que l'IA continuera à augmenter les développeurs humains plutôt qu'à les remplacer complètement dans un avenir prévisible. La capacité humaine à comprendre le contexte, à prendre des décisions de jugement et à résoudre des problèmes de manière créative reste irremplaçable. L'IA comme partenaire des programmeurs Rôle collaboratif de l'IA La perspective la plus prometteuse sur l'IA dans la programmation est son rôle de partenaire collaboratif. Les développeurs peuvent tirer parti de l'IA pour automatiser les tâches routinières, générer du code standard et même déboguer des systèmes complexes. Selon Billy Newport, « Les assistants de codage IA s'intégreront parfaitement dans des outils comme GitHub, agissant comme des collaborateurs rapides et efficaces plutôt que comme des remplaçants » (Billy Newport). Solution de développeur IA de Fine La solution de développeur IA de Fine est un parfait exemple de ce partenariat en action. Avec des fonctionnalités comme les aperçus en direct et les flux de travail IA, Fine permet aux développeurs d'écrire, de tester et de peaufiner le code en temps réel. En automatisant le banal, les développeurs peuvent se concentrer sur l'innovation et la résolution de problèmes. Conclusion Alors, l'IA remplacera-t-elle les programmeurs ? La réponse est non, mais elle les rendra plus productifs, créatifs et percutants que jamais. L'IA n'est pas un remplacement pour l'ingéniosité humaine ; c'est un outil pour l'améliorer. À mesure que l'industrie évolue, des plateformes comme Fine mèneront la charge, aidant les développeurs à accomplir plus avec moins de friction. Fine est une solution idéale pour les startups cherchant à optimiser leurs processus de développement et à maximiser la productivité sans avoir besoin de grandes équipes. En automatisant les tâches répétitives, Fine permet aux équipes de startups de se concentrer sur l'innovation, accélérant leur mise sur le marché. Intéressé à l'essayer ? Inscrivez-vous à Fine aujourd'hui et voyez comment l'IA peut renforcer votre parcours de codage et aider votre startup à évoluer efficacement. Avec l'IA dans votre boîte à outils, l'avenir de la programmation semble plus prometteur que jamais. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/common-python-errors#introduction | Most Common Python Errors When Using AI Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Most Common Python Errors When Using AI Introduction Python is a favorite among backend developers, particularly in the fast-paced world of startups where flexibility and speed are key. But let’s be honest—Python’s simplicity can sometimes be deceiving, and even the most seasoned developers can find ourselves pulling our hair out trying to understand why the code doesn’t work. In this article, we’ll dive into the top 10 Python errors that backend developers frequently encounter, especially in smaller startup teams. We’ll explain why these errors happen and provide tips on how to avoid them. We’ll also look at whether the common AI tools are likely to make the errors or can help you spot and fix them. Table of Contents Introduction Error 1: TypeErrors Error 2: NameErrors Error 3: IndexErrors Error 4: KeyErrors Error 5: ImportErrors A Recurring Theme in the Python Errors AI Makes How Fine Can Help You Avoid These Errors Conclusion Error 1: TypeErrors TypeErrors occur when you try to perform an operation on incompatible data types, like trying to add a string to an integer. It’s the programming equivalent of mixing oil and water—not going to happen. Python is dynamically typed, meaning variables don’t have fixed types, but this flexibility can sometimes lead to unexpected type mismatches. How to Avoid: Always check the data types you’re working with, and consider using type hints in your function definitions to ensure compatibility. AI models might try to perform operations on incompatible types or fail to include necessary type conversions. Fine will test to make sure there are no TypeErrors and fix any that occur. Fine’s PR review feature also identifies TypeErrors in GitHub PRs that human developers have written, ensuring that they don’t make it into production. Error 2: NameErrors (Shock horror, they’re back) No serious Python developer goes around making NameErrors anymore, right? Well, here’s the thing. ChatGPT and other AI coding tools make NameErrors all the time. They can’t help it. They don’t know what you’ve named things in your code, so they have to make a logical guess or use a placeholder - which will usually be wrong. Even the best models, such as o1 and Claude Sonnet 3.5, are helpless here. In fact, many people accuse AI of “hallucinating”, when really they’re referring to a simple NameError, where the AI isn’t to blame. Whilst simple to fix (in theory), this is quite a pain and every developer should have their eyes open for NameErrors (and indentation issues also - remember those?) when using AI coding tools that don’t have full context awareness. Fine is the AI coding tool to choose to avoid these errors. Because it indexes your repositories and issues, the AI can identify the correct names in your codebase and save you hours of debugging. Error 3: IndexErrors IndexErrors arise when you try to access an index that doesn’t exist in a list. Imagine trying to grab the fifth apple from a basket that only has four—you’re bound to run into trouble. This often happens due to off-by-one errors, where the index is either too high or too low. If you’re not familiar with how python’s range works or how slicing works, it’s a good idea to sharpen up on it to avoid index errors. How to Avoid: Double-check your list boundaries and validate your input data. Fine can highlight potential IndexErrors, helping you avoid those pesky off-by-one mistakes. This is particularly useful in scenarios where your code dynamically generates or manipulates lists, which can lead to unpredictable indexing issues. Error 4: KeyErrors KeyErrors happen when you try to access a dictionary key that isn’t present. It’s like asking for the keys to a car that you don’t own—not going to get far! How to Avoid: Use the .get() method or check for key existence before access. Fine can help by suggesting safe dictionary access patterns, reducing the risk of a KeyError. Error 5: ImportErrors ImportErrors happen when a module isn’t imported correctly, either because it’s missing, you’ve made a typo in the import path, or you’ve created a circular import. These errors are common when managing dependencies across different environments. Imagine - File A tries to import File B, which tries to import File A. How to Avoid: Ensure your modules are properly installed and avoid overly complex import chains. Fine’s AI can track your imports and warn you about potential issues, making it easier to manage your dependencies. A Recurring Theme in the Python Errors AI Makes NameErrors, ImportErrors, AttributeErrors, KeyErrors - AI will keep making these mistakes as long as it doesn’t have the full context of your codebase. It’s like if I were to ask you to write code for my platform, but without showing you my existing repo. How would you know what to refer to? How Fine Can Help You Avoid These Errors Fine is designed to be your coding companion, catching these common Python errors before they can trip you up. Using advanced AI algorithms, Fine provides real-time feedback, highlights potential issues, and offers tailored suggestions to keep your code clean and error-free. Whether you’re dealing with indentation issues, NameErrors, or TypeErrors, Fine acts as your second pair of eyes, ensuring that your development process remains smooth and efficient. With Fine integrated into your workflow, you can focus on what really matters—building great software. Conclusion Python errors can be a major headache, especially in a startup environment where every line of code counts. By understanding these common errors and how to avoid them, you can write cleaner, more reliable code. And with Fine by your side, you’ll catch and fix these errors effortlessly, keeping your projects on track and your sanity intact. Be careful of code generators that aren’t aware of your existing codebase, such as ChatGPT and GitHub Copilot—they’re more likely to make simple Python mistakes. Ready to take your Python development to the next level? Try Fine today with our free trial and see how our AI-powered coding assistant can help you write error-free code faster. Sign up now, or schedule a demo to discover how Fine can integrate seamlessly into your workflow and boost your team's productivity. Don’t let simple errors slow you down—let Fine handle the details so you can focus on building great software. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/ai-tools-for-programmers#5-devin | AI for Programmers: Top Tools to Supercharge Your Development Workflow Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI for Programmers: Top Tools to Supercharge Your Development Workflow AI is reshaping how programmers work, making it easier to handle repetitive tasks, boost productivity, and improve efficiency. This blog will guide you through some of the best AI tools for programmers available today, tailored to help you code faster, debug smarter, and collaborate effectively. Whether you're a beginner or an experienced developer, these platforms can make a real difference in your workflow. Let's get started with Fine. Table of Contents Fine Cursor Replit AI Bolt.new Devin Aider bloop Callstack PR Reviewer OpenHands Zencoder 1. Fine (AI for programmers) Fine is a comprehensive AI-powered software development platform designed to make coding seamless and efficient. By integrating AI Agents , Fine enables programmers to automate repetitive tasks like generating boilerplate code, updating schemas, and managing APIs. Its AI Sandboxing feature allows users to build, run, and test AI-generated code directly in a secure browser-based environment. It's fully mobile friendly and offers powerful integrations with GitHub, Linear and Slack - allowing for full context awareness and maximum collaboration. Highlights: AI Palette for real-time assistance. Integration with GitHub and Linear for end-to-end project management. Specs-driven development ensures alignment with project goals. Fine is designed to empower developers, allowing them to focus on innovation while leaving routine tasks to AI. At just $13-15 per month, it's a deal for any startup looking to save time and ship more. 2. Cursor Cursor offers an AI-powered code editor built on Visual Studio Code (VS Code). It includes features like Cursor Tab for intelligent auto-completion and Chat Integration for codebase-aware interactions. Cursor’s functionality is limited beyond code generation and debugging, and it requires significant configuration for advanced team collaboration. 3. Replit AI Replit AI provides integrated AI capabilities for its cloud-based IDE. It offers code completion, bug fixes, and code generation. Replit AI is heavily tied to its ecosystem and is more suited to beginner-to-intermediate developers than advanced users. 4. Bolt.new (AI for web developers) Bolt.new is an AI agent for web development, allowing developers to build, run, and deploy full-stack applications directly in the browser. Currently in beta, Bolt.new offers limited stability and focuses solely on web development, making it less versatile for other programming needs. 5. Devin Devin by Cognition is an autonomous AI software engineer designed to execute complex engineering tasks. Still in early access, Devin is focused on specific use cases and is less reliable for general-purpose programming. 6. Aider Aider is an open-source AI pair programming tool that integrates with Git repositories for local coding assistance. It requires API keys and setup for AI model integration and is limited to terminal-based interaction, which may not suit all developers. Fine includes unlimited access to leading LLMs such as o1-preview and Claude 3-5 Sonnet, with no need for your own API keys. 7. bloop Bloop specializes in modernizing legacy codebases, particularly COBOL. It offers tools for translating legacy code into modern languages. Bloop is highly specialized for legacy code modernization and offers limited functionality for general-purpose programming. 8. Callstack PR Reviewer This tool automates code reviews, identifying bugs and enforcing coding standards in GitHub and GitLab. Callstack PR Reviewer focuses on pull request reviews and lacks features for standalone development tasks. 9. OpenHands OpenHands provides a zero-setup AI coding experience within a cloud-based Visual Studio Code environment. Dependence on cloud infrastructure may not suit developers working offline or in secure environments, and its focus is limited to AI coding assistance. 10. Zencoder Zencoder uses AI agents to enhance coding workflows, with a focus on syntactic and semantic code analysis. Zencoder primarily supports iterative improvements and lacks versatility for new project creation or diverse programming needs. Why Fine Stands Out as an AI tool for Programmers While each platform offers unique advantages, Fine delivers the most comprehensive AI solution for programmers of all skill levels. Its integration of AI Agents, Sandboxing, and seamless collaboration tools makes it a one-stop shop for development teams. Unlike other platforms, Fine doesn’t compromise on versatility, supporting everything from boilerplate code generation to full project management. Ready to transform your workflow? Sign up for Fine today and experience the best in AI for programmers . The source of information for each platform has been provided in a link. Information was collected on 20.11.24 and may be incorrect, incomplete or out-of-date. 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 | 2026-01-13T08:49:34 |
https://opensource.org/blog/patents-and-open-source-understanding-the-risks-and-available-solutions-2 | Patents and Open Source: Understanding the Risks and Available Solutions – 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 December 4, 2025 News McCoy Smith Patents and Open Source: Understanding the Risks and Available Solutions Why Patents Licenses Matter: The Benefits of Explicitness Although most people think of Open Source licenses as primarily creatures of copyright law, patent considerations also come into play any time one is choosing to license software (or any other technology or content) under an Open Source license. One of the first articulations of the need to consider patents as part of Open Source licensing was in the preamble of GPL-2.0 , written in 1991: [A]ny free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone’s free use or not licensed at all. Although GPLv2 expressed at least part of the concerns that patents presented to Open Source licensing, it also engendered years-long debates about the language used in that license addressing patents, and the extent to which it obligated licensors to grant rights to their patents. Later-developed Open Source licenses took care to include an “express” (i.e, explicitly written) patent license, of relatively well-defined scope, in an effort to make clearer to licensors what patent rights they were granting, and to licensees what patent rights they were receiving. One example is the Apache-2.0 , written in 2004, which included – in Section 3 – both an express patent license grant, as well as a “ defensive termination ” clause: If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the [licensed] Work or a Contribution incorporated within the [licensed] Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that licensed Work shall terminate as of the date such litigation is filed. In this way, the licensee was given a direct assurance that they received a patent license to the software they received under the Apache-2.0 Open Source license, as well as a warning that if the licensee were to take certain aggressive patent actions against that software, they would lose the benefit of that license. This formulation attempted to effect a form of mutual patent peace between the parties licensing and/or using the Open Source software. GPL-3.0 also adopted an explicit patent grant in Section 11 when it was issued in 2007. The Risks of Implicitness, and of Disclaimer Many of the earliest Open Source licenses – including some of the most popular so-called non-copyleft (or ”permissive”) licenses – did not address patents in any explicit way. As a result, there have been debates about the extent to which licenses such as BSD-3-Clause or MIT confer any patent rights at all. For BSD-3-Clause, opposing positions have been presented: that no patent rights are conferred , or that that license implicitly grants patent rights . A similar debate has been had for MIT: it contains no patent license , or includes an implicit patent license . Although this debate has not ever been resolved in court, there may continue to be a risk that a licensor will advance a “no patent license” argument for licenses without an explicit patent grant, leaving licensees to rely upon arguments that a grant exists implicitly – a legal analysis that can be heavily fact-dependent and may vary from jurisdiction to jurisdiction. Even more risky are licenses that attempt to disclaim the granting of any patent rights at all. The OSI confronted this issue upon submission of the Creative Commons Zero ( CC0 ) license for OSI approval in 2012. Although that license has much to recommend it – it is perhaps the best example of a comprehensive effort to dedicate content to the public domain – one portion of that license raised concerns: 4. Limitations and Disclaimers. a. No trademark or patent rights held by Affirmer are waived, abandoned, surrendered, licensed or otherwise affected by this document . A full disclaimer of any patent rights was thought to potentially run afoul of at least OSD 7 , which states that an OSI-approved license “must apply to all to whom the program is redistributed without the need for execution of an additional license by those parties.” Subsequent OSI license approval submissions with similar comprehensive patent license disclaimers have been similarly rejected. Why Licenses Are Not a Complete Solution Although well-crafted explicit patent license grants in Open Source licenses (with or without defensive termination provisions) go a long way to reducing the risks of patent infringement claims against anything using an OSI-approved license, they are not a complete solution. That is because there are many patent holders who either do not participate in Open Source development or licensing at all, or who may participate in Open Source projects but may hold patents relevant to projects to which they do not participate. In those circumstances, any patent license grants in the Open Source license governing a project would not apply to their patents. Nevertheless, the situations in which patent holders who have no patent license obligations to a particular project have made assertions against that project are relatively rare. There are several reasons for this. First, many patent-holding entities who participate in Open Source development projects understand that if they engage in patent assertions against other projects in which they do not participate, they could harm their community standing and make all Open Source projects less receptive to their participation. Additionally, many patent holders tend to view Open Source code as essentially “free as in beer” (i.e., not licensed for any monetary gain), and thus not an attractive target for patent assertions which are often made to collect substantial royalties or other damage awards. Despite the low incidence of patent assertions against Open Source projects, and the disincentives many patent holders see against making them, such patent assertions are not unheard of . In such circumstances, there are a variety of entities and mechanisms available to address the risks the assertions present to the Open Source community. For example, the Open Invention Network (OIN) — a consortium that includes thousands of members — operates the world’s largest patent non-aggression network. Members agree not to assert patents against core Open Source technologies – what OIN calls the “ Linux System Definition ,” although it encompasses much more than just the Linux kernel or the components of a Linux system. Because the many thousands of members pledge to not assert their patent rights against that defined list of Open Source technologies, a huge number of potential patent assertions are taken off the table. Similarly, Unified Patents , OIN and the Linux Foundation have joined together to create an “ Open Source Zone ” around which they can use prior-art submissions and other administrative mechanisms within patent offices around the world in an effort to invalidate or narrow patents before they become threats against Open Source projects. Other, non-Unified Patent efforts have also been successful in eliminating patent assertion risks against both Open Source software and hardware . Thus, although no Open Source alone can prevent patent litigation or other patent assertions, community structure and various organizations and initiatives can make patent aggression against Open Source commercially unattractive and potentially a threat to the ability to further assert the patent itself. The Continued Viability of Software Patents as a Risk For a time, many Open Source software developers felt that software patents were something that the law did not allow, or should not allow. The dispute about whether software patents should exist came to a head in Europe in 2002 upon introduction of the “Proposal for a Directive of the European Parliament and of the Council on the patentability of computer-implemented inventions” (CII). Many prominent Open Source supporters and developers opposed this initiative, ultimately unsuccessfully . In the United States, there was a belief among many Open Source developers that software patents did not exist or were not valid until the 2014 U.S. Supreme Court decision in Alice v. CLS Bank . This belief was not correct – in fact, the U.S. had been issuing software patents since the 1960s – but nevertheless the Alice decision provided the sort of clarity about the boundaries around which patent protection for software was available in the U.S., much in the way the CII did in Europe. These standards appear to be firmly entrenched in both jurisdictions, meaning software patents will continue to be a risk that Open Source projects – as well as non-Open Source software – will need to address through the various mechanisms described above. Practical Risk Management So what should developers and companies actually do? Know your licenses. Licenses with explicit patent grants (e.g., Apache 2.0, GPLv3) for distributed projects may mitigate the risks that contributors later argue that they never granted a license to their patents. Join a defensive network. Membership in OIN or Unified Patents may provide companies or projects meaningful protection if and when patent assertions emerge. Use open governance. Projects under recognized foundations (e.g., Linux Foundation, Apache Software Foundation) benefit from institutional defense mechanisms and may have industry backing to help collectively oppose patent assertions. Keep records. Document where your code came from and under what license. It’s your first line of defense in any dispute. Records of when code was first made publicly available (such as through public versioning systems like GitHub) may also be useful in establishing prior art status that could be used in challenging patents. Stay informed and reach out. Keep abreast of patent developments and patent assertions; there are many members of the community – including lawyers versed in both patent law and Open Source licensing – who may be able to help. The Bottom Line Patents in Open Source are often a manageable legal risk. The biggest risk isn’t infringement claims; it is not reaching out to available resources. The Open Source community has spent two decades building the scaffolding to make patent threats rare and containable. Developers who understand that landscape can focus on what they do best: innovating in the open, confident that the legal ground beneath them is far more stable than any patent myths suggest. OFA Symposium 2025 and the Launch of the Open Technology Research Network (OTRN) DPGA’s Annual Members Meeting: Advancing Open Source & DPGs for the Public Good Keep up with Open Source Please leave this field empty. Δ We’ll never share your details and you can unsubscribe with a click! 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https://dev.to/voxel51/free-visual-ai-course-now-live-c8b | FREE Visual AI Course Now Live! - 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 Jimmy Guerrero for Voxel51 Posted on Nov 1, 2024 FREE Visual AI Course Now Live! # computervision # machinelearning # datascience # ai Are you looking for a FREE course to level up your computer vision skills? Then sign up for Coursera's Hands-on Data-Centric Visual AI course by Harpreet Sahota today! 🔍 Discover different labeling approaches, from manual to fully automated 🛠️ Master annotation quality for object detection tasks and fix common issues 📊 Analyze how bounding box quality impacts model performance and boost label consistency ⚙️ Use advanced tools like FiftyOne and CVAT to explore datasets and refine annotations 💡 Tackle complex computer vision challenges like occlusions and small object detection 🧠 Implement data augmentation techniques to improve model robustness Start learning now how to build high-quality datasets like a pro! 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 Voxel51 Follow More from Voxel51 Elderly Action Recognition: No One Should Age Alone, AI’s Promise for the Next Generation of Elders # computervision # ai # machinelearning # datascience Journey into Visual AI: Exploring FiftyOne Together — Part IV Model Evaluation # computervision # machinelearning # ai # datascience How to Tame Your (Data) Dragon # computervision # ai # machinelearning # datascience 💎 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/chatgpt-canvas#why-fine-is-the-superior-choice | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! 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 | 2026-01-13T08:49:34 |
https://popcorn.forem.com/wajihaseo/shoujo-a-celebration-of-emotion-growth-and-storytelling-in-japanese-manga-and-anime-40ie | Shoujo: A Celebration of Emotion, Growth, and Storytelling in Japanese Manga and Anime - 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. 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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 wajihaseo Posted on Dec 28, 2025 Shoujo: A Celebration of Emotion, Growth, and Storytelling in Japanese Manga and Anime # genrestudies # filmhistory # animation # analysis **[shoujo]( )**is one of the most influential and beloved genres in Japanese manga and anime. The term “shoujo” literally means “young girl” in Japanese, and it refers to works primarily created for a female audience, usually ranging from pre-teens to young adults. However, shoujo is far more than a demographic label. It is a storytelling tradition that emphasizes emotions, relationships, personal growth, and the inner worlds of its characters, making it appealing to audiences of all genders and ages around the world. Origins and Evolution of Shoujo Shoujo manga began to take shape in the early 20th century, with stories that were simple, moral-focused, and often educational. Early works revolved around family life, school experiences, and traditional values. As Japan’s publishing industry expanded after World War II, shoujo manga gained popularity, and creators began experimenting with new themes and artistic styles. A major turning point came in the 1970s with the rise of the “Year 24 Group” (artists born around Showa year 24, or 1949). These pioneering female mangaka revolutionized shoujo by introducing complex narratives, psychological depth, and innovative panel layouts. Romance became more emotionally layered, and themes such as identity, loss, gender roles, and even science fiction were explored. This era laid the foundation for modern shoujo as a rich and diverse genre. Core Themes of Shoujo At the heart of shoujo lies emotional storytelling. While romance is often central, it is not the only focus. Common themes include: Love and Relationships: Shoujo explores first love, unspoken feelings, heartbreak, and emotional vulnerability. Relationships are portrayed with sensitivity, focusing on emotional connection rather than physical action. Personal Growth: Protagonists often begin as ordinary or insecure individuals and gradually mature through their experiences. Self-discovery and confidence-building are key narrative elements. Friendship and Community: Strong bonds between friends, classmates, and even rivals play a crucial role in character development. Dreams and Aspirations: Many shoujo stories encourage following one’s dreams, whether related to career goals, creative passions, or personal independence. These themes resonate deeply because they reflect universal human emotions and challenges, making shoujo relatable beyond its intended demographic. Artistic Style and Visual Identity One of the most recognizable aspects of shoujo is its distinct art style. Traditionally, shoujo manga features expressive characters with large, detailed eyes that convey emotion. Flowing hair, delicate facial expressions, and decorative backgrounds filled with flowers, sparkles, and symbolic imagery are commonly used to enhance mood. Panel layouts in shoujo are often more fluid and less rigid than in action-oriented genres. Artists use creative framing, overlapping panels, and visual metaphors to reflect a character’s emotional state. This artistic freedom allows shoujo to feel poetic and immersive, drawing readers into the characters’ inner worlds. Popular Subgenres within Shoujo Shoujo is not a single, uniform category. It includes a wide range of subgenres that cater to different tastes: Romantic Shoujo: Focuses on love stories, often set in schools or everyday life. Examples include heartfelt tales of slow-burn romance and emotional confession. Magical Girl (Mahou Shoujo): Combines fantasy with themes of friendship and responsibility. Iconic series like Sailor Moon popularized this subgenre globally. Historical and Fantasy Shoujo: Set in imaginative or historical worlds, blending romance with adventure and drama. Slice of Life: Centers on daily experiences, emotional realism, and character relationships. Psychological and Dark Shoujo: Explores heavier themes such as trauma, obsession, or moral conflict, showing the genre’s narrative depth. This diversity ensures that shoujo continues to evolve and remain relevant. Shoujo in Anime and Global Influence Shoujo manga has had a strong presence in anime adaptations, helping the genre reach international audiences. Series like Fruits Basket, Nana, Ouran High School Host Club, and Cardcaptor Sakura introduced global viewers to shoujo’s emotional storytelling and artistic charm. Over time, shoujo has influenced other genres as well. Elements such as emotional introspection, character-driven narratives, and aesthetic symbolism can now be seen across anime and manga demographics, including shounen and seinen works. Modern Shoujo and Changing Perspectives In recent years, shoujo has continued to adapt to changing social norms and audience expectations. Contemporary shoujo stories often feature stronger, more independent protagonists who challenge traditional gender roles. Topics such as mental health, social pressure, identity, and self-worth are addressed more openly. Additionally, the line between genres has blurred. Many modern works combine shoujo elements with action, mystery, or fantasy, appealing to a broader readership. Digital publishing and global fan communities have also allowed shoujo creators to reach audiences beyond Japan more easily than ever before. Why Shoujo Matters Shoujo holds a unique place in popular culture because it validates emotional expression and personal experiences that are often overlooked in mainstream media. It encourages empathy, self-reflection, and emotional honesty. For many readers, shoujo becomes a source of comfort, inspiration, and understanding during formative years. Beyond entertainment, shoujo plays an important cultural role by highlighting female perspectives in storytelling. It gives voice to emotions, dreams, and struggles that resonate universally, proving that stories centered on feelings and relationships can be just as powerful as action-driven narratives. Conclusion Shoujo is more than just a genre for young girls—it is a storytelling tradition that celebrates emotion, growth, and human connection. Through its rich themes, expressive art, and evolving narratives, shoujo has left a lasting impact on manga, anime, and global pop culture. Whether through gentle romance, magical adventures, or deep emotional journeys, shoujo continues to touch hearts and inspire readers around the world. 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 wajihaseo Follow i am a student of internet marketing Joined Dec 28, 2025 Trending on Popcorn Movies and TV Hot The Conformity Gate Phenomenon: Exploration of Fan Theories Following the Stranger Things Season 5 Finale # streaming # movies # recommendations # analysis 💎 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! 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https://www.fine.dev/blog/ai-tools-for-programmers#9-openhands | AI for Programmers: Top Tools to Supercharge Your Development Workflow Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI for Programmers: Top Tools to Supercharge Your Development Workflow AI is reshaping how programmers work, making it easier to handle repetitive tasks, boost productivity, and improve efficiency. This blog will guide you through some of the best AI tools for programmers available today, tailored to help you code faster, debug smarter, and collaborate effectively. Whether you're a beginner or an experienced developer, these platforms can make a real difference in your workflow. Let's get started with Fine. Table of Contents Fine Cursor Replit AI Bolt.new Devin Aider bloop Callstack PR Reviewer OpenHands Zencoder 1. Fine (AI for programmers) Fine is a comprehensive AI-powered software development platform designed to make coding seamless and efficient. By integrating AI Agents , Fine enables programmers to automate repetitive tasks like generating boilerplate code, updating schemas, and managing APIs. Its AI Sandboxing feature allows users to build, run, and test AI-generated code directly in a secure browser-based environment. It's fully mobile friendly and offers powerful integrations with GitHub, Linear and Slack - allowing for full context awareness and maximum collaboration. Highlights: AI Palette for real-time assistance. Integration with GitHub and Linear for end-to-end project management. Specs-driven development ensures alignment with project goals. Fine is designed to empower developers, allowing them to focus on innovation while leaving routine tasks to AI. At just $13-15 per month, it's a deal for any startup looking to save time and ship more. 2. Cursor Cursor offers an AI-powered code editor built on Visual Studio Code (VS Code). It includes features like Cursor Tab for intelligent auto-completion and Chat Integration for codebase-aware interactions. Cursor’s functionality is limited beyond code generation and debugging, and it requires significant configuration for advanced team collaboration. 3. Replit AI Replit AI provides integrated AI capabilities for its cloud-based IDE. It offers code completion, bug fixes, and code generation. Replit AI is heavily tied to its ecosystem and is more suited to beginner-to-intermediate developers than advanced users. 4. Bolt.new (AI for web developers) Bolt.new is an AI agent for web development, allowing developers to build, run, and deploy full-stack applications directly in the browser. Currently in beta, Bolt.new offers limited stability and focuses solely on web development, making it less versatile for other programming needs. 5. Devin Devin by Cognition is an autonomous AI software engineer designed to execute complex engineering tasks. Still in early access, Devin is focused on specific use cases and is less reliable for general-purpose programming. 6. Aider Aider is an open-source AI pair programming tool that integrates with Git repositories for local coding assistance. It requires API keys and setup for AI model integration and is limited to terminal-based interaction, which may not suit all developers. Fine includes unlimited access to leading LLMs such as o1-preview and Claude 3-5 Sonnet, with no need for your own API keys. 7. bloop Bloop specializes in modernizing legacy codebases, particularly COBOL. It offers tools for translating legacy code into modern languages. Bloop is highly specialized for legacy code modernization and offers limited functionality for general-purpose programming. 8. Callstack PR Reviewer This tool automates code reviews, identifying bugs and enforcing coding standards in GitHub and GitLab. Callstack PR Reviewer focuses on pull request reviews and lacks features for standalone development tasks. 9. OpenHands OpenHands provides a zero-setup AI coding experience within a cloud-based Visual Studio Code environment. Dependence on cloud infrastructure may not suit developers working offline or in secure environments, and its focus is limited to AI coding assistance. 10. Zencoder Zencoder uses AI agents to enhance coding workflows, with a focus on syntactic and semantic code analysis. Zencoder primarily supports iterative improvements and lacks versatility for new project creation or diverse programming needs. Why Fine Stands Out as an AI tool for Programmers While each platform offers unique advantages, Fine delivers the most comprehensive AI solution for programmers of all skill levels. Its integration of AI Agents, Sandboxing, and seamless collaboration tools makes it a one-stop shop for development teams. Unlike other platforms, Fine doesn’t compromise on versatility, supporting everything from boilerplate code generation to full project management. Ready to transform your workflow? Sign up for Fine today and experience the best in AI for programmers . The source of information for each platform has been provided in a link. Information was collected on 20.11.24 and may be incorrect, incomplete or out-of-date. 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 | 2026-01-13T08:49:34 |
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https://www.fine.dev/blog/chatgpt-canvas#fine-more-than-just-a-tool | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! 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 | 2026-01-13T08:49:34 |
https://dev.to/t/odoo/page/7#main-content | Odoo Page 7 - 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. 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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 # odoo Follow Hide Create Post Older #odoo posts 1 2 3 4 5 6 7 8 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu oca-port: new OCA tool to help with modules migration Sébastien Alix Sébastien Alix Sébastien Alix Follow for Camptocamp Business Solutions Aug 15 '22 oca-port: new OCA tool to help with modules migration # odoo # oca # github # git 7 reactions Comments Add Comment 3 min read Odoo 安裝 Leon Leon Leon Follow May 1 '22 Odoo 安裝 # odoo 12 reactions Comments Add Comment 1 min read Odoo: Customizing the values when timesheeting Damien Crier Damien Crier Damien Crier Follow for Camptocamp Business Solutions Mar 9 '22 Odoo: Customizing the values when timesheeting # odoo # widget # tips # camptocamp 12 reactions Comments 2 comments 1 min read Vue Storefront – Odoo backend connector Heitor Ramon Ribeiro Heitor Ramon Ribeiro Heitor Ramon Ribeiro Follow for Vue Storefront Mar 7 '22 Vue Storefront – Odoo backend connector # odoo # vue # ecommerce # headless 9 reactions Comments Add Comment 4 min read OWL in Odoo 14 - How to extend and patch existing OWL Components. Coding Dodo Coding Dodo Coding Dodo Follow Aug 15 '21 OWL in Odoo 14 - How to extend and patch existing OWL Components. # odoo # owl # javascript 8 reactions Comments 1 comment 13 min read Introduction to Odoo Components Guewen Baconnier Guewen Baconnier Guewen Baconnier Follow Jun 19 '21 Introduction to Odoo Components # odoo # python # oca 45 reactions Comments 3 comments 12 min read RealWorld App with OWL (Odoo Web Library) - Part 1 Coding Dodo Coding Dodo Coding Dodo Follow Jun 7 '21 RealWorld App with OWL (Odoo Web Library) - Part 1 # owl # javascript # odoo 16 reactions Comments Add Comment 21 min read Create an Odoo 14 Markdown Widget Field with TDD - Part 3 Coding Dodo Coding Dodo Coding Dodo Follow May 26 '21 Create an Odoo 14 Markdown Widget Field with TDD - Part 3 # tdd # javascript # odoo # tutorial 8 reactions Comments Add Comment 10 min read Create an Odoo 14 Markdown Widget Field with TDD - Part 2 Coding Dodo Coding Dodo Coding Dodo Follow May 12 '21 Create an Odoo 14 Markdown Widget Field with TDD - Part 2 # tdd # javascript # odoo # tutorial 8 reactions Comments Add Comment 11 min read Create an Odoo 14 Markdown Widget Field with TDD - Part 1 Coding Dodo Coding Dodo Coding Dodo Follow May 6 '21 Create an Odoo 14 Markdown Widget Field with TDD - Part 1 # tdd # javascript # odoo # tutorial 11 reactions Comments Add Comment 9 min read Odoo and Blockchain, a proposal to innovate Fernando Fernando Fernando Follow Apr 14 '21 Odoo and Blockchain, a proposal to innovate # blockchain # odoo # erp # ethereum 4 reactions Comments Add Comment 3 min read My Odoo Development Environment Alfadil mustafa Alfadil mustafa Alfadil mustafa Follow Feb 15 '21 My Odoo Development Environment # docker # odoo # odooly # devops 24 reactions Comments 2 comments 4 min read Why should you not publish Apps on Odoo Apps Store? Ludovic Isidore Ludovic Isidore Ludovic Isidore Follow Jan 26 '21 Why should you not publish Apps on Odoo Apps Store? # odoo # python # opensource # apps 6 reactions Comments 1 comment 3 min read Odoo | Hasura GraphQL | Docker majordomo-systems majordomo-systems majordomo-systems Follow Jan 16 '21 Odoo | Hasura GraphQL | Docker # docker # graphql # odoo 14 reactions Comments 1 comment 2 min read How SEO Improves your Odoo Website Ranking Kazim Mirza Kazim Mirza Kazim Mirza Follow Jan 4 '21 How SEO Improves your Odoo Website Ranking # news # opensource # odoo # erp 2 reactions Comments 1 comment 1 min read Guide to Install Odoo V13 Using Docker emiway1392 emiway1392 emiway1392 Follow Oct 27 '20 Guide to Install Odoo V13 Using Docker # odoo # odooerp # odooimplementation 4 reactions Comments Add Comment 1 min read Odoo Rental Management System Kazim Mirza Kazim Mirza Kazim Mirza Follow Oct 16 '20 Odoo Rental Management System # odoo # erp # rentalsystem # opensource 5 reactions Comments 1 comment 1 min read Odoo Rental Management System Kazim Mirza Kazim Mirza Kazim Mirza Follow Oct 5 '20 Odoo Rental Management System # odoo # opensource # webdev 4 reactions Comments Add Comment 1 min read How to remote debugging Odoo Docker images (Python based framework) Khaled Said Khaled Said Khaled Said Follow Sep 5 '20 How to remote debugging Odoo Docker images (Python based framework) # python # odoo # docker # vscode 25 reactions Comments 6 comments 2 min read Don't break your (and others) Odoo XML Apruzzese Francesco Apruzzese Francesco Apruzzese Francesco Follow Jul 6 '20 Don't break your (and others) Odoo XML # odoo # xml # xpath # view 23 reactions Comments 3 comments 3 min read Odoo Database Migration D#ru@ D@v€ D#ru@ D@v€ D#ru@ D@v€ Follow Jul 3 '20 Odoo Database Migration # database # migration # odoo # postgres 19 reactions Comments 4 comments 3 min read Your Guide to CRM and ERP! Aanchal Rathore Aanchal Rathore Aanchal Rathore Follow May 29 '20 Your Guide to CRM and ERP! # odoo # odoodevelopment 7 reactions Comments 1 comment 9 min read Clean Odoo debugging Alfadil mustafa Alfadil mustafa Alfadil mustafa Follow May 15 '20 Clean Odoo debugging # odoo # debugging # vscode 23 reactions Comments 10 comments 2 min read ¿Como instalar Odoo 13 Community en Ubuntu 20.04 con PostgreSql 12? Julián Valdés Julián Valdés Julián Valdés Follow May 12 '20 ¿Como instalar Odoo 13 Community en Ubuntu 20.04 con PostgreSql 12? # odoo # postgres # ubuntu # python 14 reactions Comments 4 comments 2 min read Run Odoo in docker for local development Alfadil mustafa Alfadil mustafa Alfadil mustafa Follow May 8 '20 Run Odoo in docker for local development # odoo # docker 11 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 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. 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https://www.fine.dev/blog/chatgpt-canvas#conclusion-transform-your-coding-experience-with-fine | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/chatgpt-canvas#comparing-canvas-to-chatgpt-35-and-chatgpt-4 | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/common-python-errors#error-3-indexerrors | Most Common Python Errors When Using AI Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Most Common Python Errors When Using AI Introduction Python is a favorite among backend developers, particularly in the fast-paced world of startups where flexibility and speed are key. But let’s be honest—Python’s simplicity can sometimes be deceiving, and even the most seasoned developers can find ourselves pulling our hair out trying to understand why the code doesn’t work. In this article, we’ll dive into the top 10 Python errors that backend developers frequently encounter, especially in smaller startup teams. We’ll explain why these errors happen and provide tips on how to avoid them. We’ll also look at whether the common AI tools are likely to make the errors or can help you spot and fix them. Table of Contents Introduction Error 1: TypeErrors Error 2: NameErrors Error 3: IndexErrors Error 4: KeyErrors Error 5: ImportErrors A Recurring Theme in the Python Errors AI Makes How Fine Can Help You Avoid These Errors Conclusion Error 1: TypeErrors TypeErrors occur when you try to perform an operation on incompatible data types, like trying to add a string to an integer. It’s the programming equivalent of mixing oil and water—not going to happen. Python is dynamically typed, meaning variables don’t have fixed types, but this flexibility can sometimes lead to unexpected type mismatches. How to Avoid: Always check the data types you’re working with, and consider using type hints in your function definitions to ensure compatibility. AI models might try to perform operations on incompatible types or fail to include necessary type conversions. Fine will test to make sure there are no TypeErrors and fix any that occur. Fine’s PR review feature also identifies TypeErrors in GitHub PRs that human developers have written, ensuring that they don’t make it into production. Error 2: NameErrors (Shock horror, they’re back) No serious Python developer goes around making NameErrors anymore, right? Well, here’s the thing. ChatGPT and other AI coding tools make NameErrors all the time. They can’t help it. They don’t know what you’ve named things in your code, so they have to make a logical guess or use a placeholder - which will usually be wrong. Even the best models, such as o1 and Claude Sonnet 3.5, are helpless here. In fact, many people accuse AI of “hallucinating”, when really they’re referring to a simple NameError, where the AI isn’t to blame. Whilst simple to fix (in theory), this is quite a pain and every developer should have their eyes open for NameErrors (and indentation issues also - remember those?) when using AI coding tools that don’t have full context awareness. Fine is the AI coding tool to choose to avoid these errors. Because it indexes your repositories and issues, the AI can identify the correct names in your codebase and save you hours of debugging. Error 3: IndexErrors IndexErrors arise when you try to access an index that doesn’t exist in a list. Imagine trying to grab the fifth apple from a basket that only has four—you’re bound to run into trouble. This often happens due to off-by-one errors, where the index is either too high or too low. If you’re not familiar with how python’s range works or how slicing works, it’s a good idea to sharpen up on it to avoid index errors. How to Avoid: Double-check your list boundaries and validate your input data. Fine can highlight potential IndexErrors, helping you avoid those pesky off-by-one mistakes. This is particularly useful in scenarios where your code dynamically generates or manipulates lists, which can lead to unpredictable indexing issues. Error 4: KeyErrors KeyErrors happen when you try to access a dictionary key that isn’t present. It’s like asking for the keys to a car that you don’t own—not going to get far! How to Avoid: Use the .get() method or check for key existence before access. Fine can help by suggesting safe dictionary access patterns, reducing the risk of a KeyError. Error 5: ImportErrors ImportErrors happen when a module isn’t imported correctly, either because it’s missing, you’ve made a typo in the import path, or you’ve created a circular import. These errors are common when managing dependencies across different environments. Imagine - File A tries to import File B, which tries to import File A. How to Avoid: Ensure your modules are properly installed and avoid overly complex import chains. Fine’s AI can track your imports and warn you about potential issues, making it easier to manage your dependencies. A Recurring Theme in the Python Errors AI Makes NameErrors, ImportErrors, AttributeErrors, KeyErrors - AI will keep making these mistakes as long as it doesn’t have the full context of your codebase. It’s like if I were to ask you to write code for my platform, but without showing you my existing repo. How would you know what to refer to? How Fine Can Help You Avoid These Errors Fine is designed to be your coding companion, catching these common Python errors before they can trip you up. Using advanced AI algorithms, Fine provides real-time feedback, highlights potential issues, and offers tailored suggestions to keep your code clean and error-free. Whether you’re dealing with indentation issues, NameErrors, or TypeErrors, Fine acts as your second pair of eyes, ensuring that your development process remains smooth and efficient. With Fine integrated into your workflow, you can focus on what really matters—building great software. Conclusion Python errors can be a major headache, especially in a startup environment where every line of code counts. By understanding these common errors and how to avoid them, you can write cleaner, more reliable code. And with Fine by your side, you’ll catch and fix these errors effortlessly, keeping your projects on track and your sanity intact. Be careful of code generators that aren’t aware of your existing codebase, such as ChatGPT and GitHub Copilot—they’re more likely to make simple Python mistakes. Ready to take your Python development to the next level? Try Fine today with our free trial and see how our AI-powered coding assistant can help you write error-free code faster. Sign up now, or schedule a demo to discover how Fine can integrate seamlessly into your workflow and boost your team's productivity. Don’t let simple errors slow you down—let Fine handle the details so you can focus on building great software. 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 | 2026-01-13T08:49:34 |
https://dev.to/veritaschain/the-eu-ai-act-doesnt-mandate-cryptographic-logs-but-youll-want-them-anyway-97f | The EU AI Act Doesn't Mandate Cryptographic Logs—But You'll Want Them Anyway - 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. 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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 VeritasChain Standards Organization (VSO) Posted on Dec 25, 2025 The EU AI Act Doesn't Mandate Cryptographic Logs—But You'll Want Them Anyway # ai # cryptography # blockchain How Articles 12, 15, and 73 create implicit pressure for tamper-evident audit trails in high-risk AI systems TL;DR The EU AI Act (Regulation 2024/1689) requires automatic logging for high-risk AI systems but doesn't explicitly mandate cryptographic mechanisms. However, the combination of lifetime traceability requirements (Article 12), cybersecurity obligations (Article 15), and forensic evidence preservation rules (Article 73) makes hash-chained, digitally-signed logs the economically rational choice. This article maps each relevant provision to cryptographic implementations—and shows why "minimum compliance" approaches are legally riskier than going beyond the baseline. The Regulatory Landscape: What the Act Actually Says The EU AI Act entered into force on August 1, 2024. High-risk system requirements become enforceable on August 2, 2026 . The clock is ticking. Article 12: The Foundation "High-risk AI systems shall technically allow for the automatic recording of events (logs) over the lifetime of the system." — Article 12(1), Regulation (EU) 2024/1689 This is a mandatory pre-market design requirement . Systems lacking logging capabilities cannot legally enter the EU market. But notice what's not specified: ❌ Log format or schema ❌ Storage architecture ❌ Integrity protection methods ❌ Third-party verifiability The phrase "appropriate to the intended purpose" delegates technical specification to provider judgment. This is where cryptographic approaches shine. Article 19: Retention Requirements Obligation Minimum Period Automatically generated logs 6 months Technical documentation 10 years Conformity assessments 10 years Financial institutions face sector-specific extensions (MiFID II: 5-7 years). The question isn't whether to retain logs—it's whether you can prove they haven't been tampered with during that period. Article 73: The Forensic Imperative "The provider shall not perform any investigation which involves altering the AI system concerned in a way which may affect any subsequent evaluation of the causes of the incident." — Article 73(6) This is the killer provision. During serious incident investigations: 15 days for standard incidents 10 days for death or suspected death 2 days for critical infrastructure disruption Mutable logs create legal exposure. If you modify logs (intentionally or inadvertently) during investigation, you face: Regulatory presumption of non-compliance Enhanced penalties under Article 99 (misleading information) Civil liability in private litigation Cryptographic hash chains solve this. Append-only logs with cryptographic timestamps demonstrate preservation compliance without restricting legitimate analysis. The Compliance Gap: Minimum vs. Defensible Here's the uncomfortable truth: Minimum Compliance Vulnerability Cryptographic Solution Mutable database logs Article 73 evidence tampering allegations Tamper-evident hash chains Manual documentation Annex IV burden; human error Automated generation from event streams Provider-only verification Authority skepticism Third-party verifiable proofs Reactive incident response Article 73 deadline pressure Real-time anomaly detection The Act creates a "compliance floor, not ceiling" regime. Minimum compliance is achievable with conventional logging—but cryptographic approaches provide superior evidential weight and competitive differentiation. Technical Architecture: Building Compliant Audit Trails Hash Chain Implementation Every event links cryptographically to its predecessor: import hashlib import json from datetime import datetime , timezone class AuditEvent : def __init__ ( self , event_type : str , payload : dict , prev_hash : str ): self . timestamp = datetime . now ( timezone . utc ). isoformat () self . event_type = event_type self . payload = payload self . prev_hash = prev_hash self . hash = self . _compute_hash () def _compute_hash ( self ) -> str : """ SHA-256 hash of canonicalized event data """ canonical = json . dumps ({ " timestamp " : self . timestamp , " event_type " : self . event_type , " payload " : self . payload , " prev_hash " : self . prev_hash }, sort_keys = True , separators = ( ' , ' , ' : ' )) return hashlib . sha256 ( canonical . encode ()). hexdigest () def verify_chain ( self , expected_prev_hash : str ) -> bool : """ Verify hash chain integrity """ return self . prev_hash == expected_prev_hash # Article 12(3) biometric system logging event = AuditEvent ( event_type = " BIOMETRIC_VERIFICATION " , payload = { " start_time " : " 2025-12-25T09:00:00Z " , " end_time " : " 2025-12-25T09:00:03Z " , " reference_database " : " db_employees_v3 " , " match_confidence " : 0.97 , " verifier_id " : " operator_12345 " , # Article 12(3)(d) requirement " verifier_signature " : " ed25519:... " # Non-repudiation }, prev_hash = " abc123... " ) Enter fullscreen mode Exit fullscreen mode This satisfies: ✅ Article 12(1): Automatic recording capability ✅ Article 12(3): Biometric system minimum logging ✅ Article 73(6): Tamper-evident evidence preservation Digital Signatures for Human Oversight Article 14 requires human oversight capabilities. Article 12(3)(d) requires identification of human verifiers. Digital signatures provide non-repudiation: from nacl.signing import SigningKey , VerifyKey from nacl.encoding import HexEncoder class OversightAction : """ Article 14 human oversight with cryptographic attribution """ def __init__ ( self , action_type : str , operator_key : SigningKey ): self . action_type = action_type self . timestamp = datetime . now ( timezone . utc ). isoformat () self . operator_public_key = operator_key . verify_key . encode ( HexEncoder ). decode () self . _sign ( operator_key ) def _sign ( self , key : SigningKey ): message = f " { self . action_type } : { self . timestamp } " . encode () self . signature = key . sign ( message , encoder = HexEncoder ). signature . decode () def verify ( self , public_key : VerifyKey ) -> bool : message = f " { self . action_type } : { self . timestamp } " . encode () try : public_key . verify ( message , bytes . fromhex ( self . signature ) ) return True except : return False # Human override decision (Article 14(4)(d)) override = OversightAction ( action_type = " DECISION_OVERRIDE " , operator_key = operator_signing_key ) Enter fullscreen mode Exit fullscreen mode This creates: Individual attribution : Specific person exercised oversight Temporal proof : Intervention occurred at claimed time Decision integrity : Cannot be silently modified post-incident Merkle Trees for Efficient Verification Authorities don't need your entire operational dataset. Merkle proofs enable selective disclosure : import hashlib from typing import List , Optional class MerkleTree : """ Efficient verification without full dataset exposure """ def __init__ ( self , leaves : List [ str ]): self . leaves = [ self . _hash ( leaf ) for leaf in leaves ] self . tree = self . _build_tree ( self . leaves ) self . root = self . tree [ - 1 ][ 0 ] if self . tree else None def _hash ( self , data : str ) -> str : return hashlib . sha256 ( data . encode ()). hexdigest () def _build_tree ( self , leaves : List [ str ]) -> List [ List [ str ]]: if not leaves : return [] tree = [ leaves ] while len ( tree [ - 1 ]) > 1 : level = [] nodes = tree [ - 1 ] for i in range ( 0 , len ( nodes ), 2 ): left = nodes [ i ] right = nodes [ i + 1 ] if i + 1 < len ( nodes ) else left level . append ( self . _hash ( left + right )) tree . append ( level ) return tree def get_proof ( self , index : int ) -> List [ tuple ]: """ Generate proof for leaf at index """ proof = [] for level in self . tree [: - 1 ]: if index % 2 == 0 : sibling_idx = index + 1 if index + 1 < len ( level ) else index proof . append (( ' right ' , level [ sibling_idx ])) else : proof . append (( ' left ' , level [ index - 1 ])) index //= 2 return proof # Anchor daily Merkle roots for long-term verification daily_events = [ event . hash for event in today_audit_trail ] merkle = MerkleTree ( daily_events ) anchor_root = merkle . root # Store/publish this single hash Enter fullscreen mode Exit fullscreen mode Use case : Authority requests logs from incident timeframe. You provide: Relevant events (Article 72 post-market monitoring) Merkle proofs demonstrating completeness Anchored root (published/timestamped) proving data existed at claimed time No full dataset exposure. Mathematically verifiable integrity. MQL5 Integration: Trading System Audit Trails For algorithmic trading systems under EU AI Act scope: //+------------------------------------------------------------------+ //| VCP-compliant audit logging for MQL5 trading algorithms | //| Satisfies Article 12 automatic recording requirement | //+------------------------------------------------------------------+ #include <JAson.mqh> class CVCPAuditLog { private: string m_prev_hash; int m_file_handle; string ComputeSHA256(string data) { uchar src[], dst[], key[]; StringToCharArray(data, src); CryptEncode(CRYPT_HASH_SHA256, src, key, dst); string hash = ""; for(int i = 0; i < ArraySize(dst); i++) hash += StringFormat("%02x", dst[i]); return hash; } public: CVCPAuditLog() { m_prev_hash = "genesis"; m_file_handle = FileOpen("vcp_audit.jsonl", FILE_WRITE|FILE_TXT); } void LogOrderEvent(string event_type, ulong ticket, double price, double volume) { CJAVal json; json["timestamp"] = TimeToString(TimeGMT(), TIME_DATE|TIME_SECONDS); json["event_type"] = event_type; json["ticket"] = IntegerToString(ticket); json["price"] = DoubleToString(price, _Digits); json["volume"] = DoubleToString(volume, 2); json["symbol"] = _Symbol; json["prev_hash"] = m_prev_hash; string canonical = json.Serialize(); string current_hash = ComputeSHA256(canonical); json["hash"] = current_hash; if(m_file_handle != INVALID_HANDLE) { FileWriteString(m_file_handle, json.Serialize() + "\n"); FileFlush(m_file_handle); } m_prev_hash = current_hash; } // Article 14: Human oversight logging void LogHumanOverride(string reason, string operator_id) { CJAVal json; json["timestamp"] = TimeToString(TimeGMT(), TIME_DATE|TIME_SECONDS); json["event_type"] = "HUMAN_OVERRIDE"; json["reason"] = reason; json["operator_id"] = operator_id; json["prev_hash"] = m_prev_hash; // In production: add Ed25519 signature from operator's key string canonical = json.Serialize(); m_prev_hash = ComputeSHA256(canonical); json["hash"] = m_prev_hash; if(m_file_handle != INVALID_HANDLE) FileWriteString(m_file_handle, json.Serialize() + "\n"); } }; // Global audit logger CVCPAuditLog g_audit; void OnTrade() { // Automatically log all trade events (Article 12(1)) HistorySelect(TimeCurrent() - 1, TimeCurrent()); int total = HistoryDealsTotal(); for(int i = 0; i < total; i++) { ulong ticket = HistoryDealGetTicket(i); double price = HistoryDealGetDouble(ticket, DEAL_PRICE); double volume = HistoryDealGetDouble(ticket, DEAL_VOLUME); g_audit.LogOrderEvent("DEAL_EXECUTED", ticket, price, volume); } } Enter fullscreen mode Exit fullscreen mode GDPR Compatibility: The Crypto-Shredding Solution The elephant in the room: GDPR Article 5(1)(e) storage limitation vs. AI Act Article 19 retention requirements. Solution: Architectural separation ┌─────────────────────────────────────────────────────────────┐ │ AUDIT INTEGRITY LAYER │ │ (Immutable - hash chains, Merkle roots, timestamps) │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Event │──│ Event │──│ Event │──│ Event │ │ │ │ Hash #1 │ │ Hash #2 │ │ Hash #3 │ │ Hash #4 │ │ │ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ └───────┼─────────────┼─────────────┼─────────────┼──────────┘ │ │ │ │ ▼ ▼ ▼ ▼ ┌─────────────────────────────────────────────────────────────┐ │ PERSONAL DATA LAYER │ │ (Deletable - encrypted, key-managed) │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Encrypted│ │ Encrypted│ │ DELETED │ │ Encrypted│ │ │ │ PII #1 │ │ PII #2 │ │ (shredded)│ │ PII #4 │ │ │ │ [Key: K1]│ │ [Key: K1]│ │ │ │ [Key: K2]│ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ └─────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode Crypto-shredding workflow : Personal data encrypted with per-subject keys Hash of encrypted data stored in audit chain GDPR deletion request → destroy encryption key Audit chain intact (proves events occurred) Personal data irrecoverable (satisfies erasure right) from cryptography.fernet import Fernet from cryptography.hazmat.primitives import hashes from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC import base64 import os class CryptoShreddingManager : """ GDPR-compliant deletion with audit trail preservation """ def __init__ ( self , key_store_path : str ): self . key_store = {} self . key_store_path = key_store_path def _generate_subject_key ( self , subject_id : str ) -> bytes : """ Generate unique encryption key per data subject """ salt = os . urandom ( 16 ) kdf = PBKDF2HMAC ( algorithm = hashes . SHA256 (), length = 32 , salt = salt , iterations = 480000 , ) key = base64 . urlsafe_b64encode ( kdf . derive ( subject_id . encode ())) self . key_store [ subject_id ] = { " key " : key , " salt " : salt } return key def encrypt_pii ( self , subject_id : str , data : bytes ) -> tuple : """ Encrypt PII, return ciphertext and hash for audit chain """ if subject_id not in self . key_store : key = self . _generate_subject_key ( subject_id ) else : key = self . key_store [ subject_id ][ " key " ] f = Fernet ( key ) ciphertext = f . encrypt ( data ) # Hash goes in immutable audit chain data_hash = hashlib . sha256 ( ciphertext ). hexdigest () return ciphertext , data_hash def crypto_shred ( self , subject_id : str ) -> bool : """ GDPR Article 17 erasure via key destruction """ if subject_id in self . key_store : # Securely overwrite key material key_data = self . key_store [ subject_id ] key_data [ " key " ] = os . urandom ( len ( key_data [ " key " ])) del self . key_store [ subject_id ] # Log shredding event (itself goes in audit chain) return True return False Enter fullscreen mode Exit fullscreen mode The Business Case: Beyond Compliance Risk Calculus For a high-risk AI system serving the EU market: Scenario Conventional Logs Cryptographic Logs Article 73 investigation Integrity questioned; burden on provider to prove non-tampering Cryptographic proof of integrity; authority can verify independently Conformity assessment Self-attestation only Third-party verifiable evidence packages Litigation Logs challenged as potentially altered Mathematical proof of authenticity Insurance Higher premiums; exclusions for data integrity failures Favorable terms for verified audit trails Competitive positioning Baseline compliance "Cryptographically Verifiable" as premium feature Standards Trajectory CEN-CENELEC JTC 21 is developing harmonized standards for AI Act compliance: prEN ISO/IEC 24970 : AI System Logging (public consultation expected mid-2025) Standards likely to incorporate cryptographic mechanisms based on: ISO/IEC 27001 integrity controls Financial sector precedents (SEC CAT, ESMA transaction reporting) NIST Cybersecurity Framework cryptographic baselines Early adopters of cryptographic logging will be aligned with harmonized standards before publication. Implementation Roadmap Phase 1: Foundation (Now → Q2 2025) [ ] Implement hash-chained event logging [ ] Deploy Ed25519 signing for human oversight events [ ] Establish key management infrastructure [ ] Document architecture as Article 11/Annex IV technical documentation Phase 2: Verification (Q2 2025 → Q4 2025) [ ] Add Merkle tree aggregation for efficient proofs [ ] Integrate eIDAS-qualified timestamps [ ] Implement GDPR crypto-shredding layer [ ] Build authority reporting templates (Article 73) Phase 3: Hardening (Q4 2025 → August 2026) [ ] Conformity assessment dry run [ ] Third-party audit of cryptographic controls [ ] Post-market monitoring integration (Article 72) [ ] Incident response procedure validation Conclusion: The Implicit Mandate The EU AI Act doesn't explicitly require cryptographic audit trails. But it creates a regulatory environment where they're the economically rational choice : Article 12 demands lifetime logging → hash chains ensure continuity Article 15 requires cybersecurity → cryptographic integrity satisfies this Article 73 prohibits evidence alteration → immutable logs provide defense Article 72 needs verifiable monitoring → timestamped proofs demonstrate compliance The market is moving toward cryptographic verification not because it's legally mandated, but because alternatives are legally riskier. The VeritasChain Protocol (VCP) provides an open specification for implementing these patterns. Whether you adopt VCP or build your own architecture, the technical requirements are clear: hash chains, digital signatures, qualified timestamps, and verifiable proofs. The August 2026 deadline approaches. The question isn't whether to implement cryptographic audit trails—it's whether you'll be ready when authorities start asking for evidence you can actually prove. Resources EU AI Act Official Text : EUR-Lex 2024/1689 VeritasChain Protocol Specification : veritaschain.org VCP GitHub : github.com/veritaschain IETF Draft : draft-kamimura-scitt-vcp CEN-CENELEC JTC 21 : AI Standards Development This article is published by the VeritasChain Standards Organization (VSO) as educational content. VSO is a non-profit standards body and does not endorse specific commercial implementations. For technical inquiries: technical@veritaschain.org Tags : #ai #compliance #cryptography #euaiact #audit #blockchain #regulations #fintech 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 VeritasChain Standards Organization (VSO) Follow Developing global cryptographic standards for algorithmic & AI-driven trading. Maintainer of VeritasChain Protocol (VCP) — a tamper-evident audit layer designed for MiFID II, EU AI Act, and next-gener Location Tokyo, Japan Joined Dec 7, 2025 More from VeritasChain Standards Organization (VSO) Building Cryptographic Audit Trails for AI Trading Systems: A Deep Dive into RFC 6962-Based Verification # ai # regtech The Grok Scandal Proves AI Needs Cryptographic Audit Trails—Not Just Content Moderation # ai # security # opensource Why Your Trading Algorithm Needs a Flight Recorder: Lessons from the 2025 Market Chaos # fintech # cryptography # security # algorithms 💎 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. 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https://www.fine.dev/blog/common-python-errors#error-1-typeerrors | Most Common Python Errors When Using AI Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Most Common Python Errors When Using AI Introduction Python is a favorite among backend developers, particularly in the fast-paced world of startups where flexibility and speed are key. But let’s be honest—Python’s simplicity can sometimes be deceiving, and even the most seasoned developers can find ourselves pulling our hair out trying to understand why the code doesn’t work. In this article, we’ll dive into the top 10 Python errors that backend developers frequently encounter, especially in smaller startup teams. We’ll explain why these errors happen and provide tips on how to avoid them. We’ll also look at whether the common AI tools are likely to make the errors or can help you spot and fix them. Table of Contents Introduction Error 1: TypeErrors Error 2: NameErrors Error 3: IndexErrors Error 4: KeyErrors Error 5: ImportErrors A Recurring Theme in the Python Errors AI Makes How Fine Can Help You Avoid These Errors Conclusion Error 1: TypeErrors TypeErrors occur when you try to perform an operation on incompatible data types, like trying to add a string to an integer. It’s the programming equivalent of mixing oil and water—not going to happen. Python is dynamically typed, meaning variables don’t have fixed types, but this flexibility can sometimes lead to unexpected type mismatches. How to Avoid: Always check the data types you’re working with, and consider using type hints in your function definitions to ensure compatibility. AI models might try to perform operations on incompatible types or fail to include necessary type conversions. Fine will test to make sure there are no TypeErrors and fix any that occur. Fine’s PR review feature also identifies TypeErrors in GitHub PRs that human developers have written, ensuring that they don’t make it into production. Error 2: NameErrors (Shock horror, they’re back) No serious Python developer goes around making NameErrors anymore, right? Well, here’s the thing. ChatGPT and other AI coding tools make NameErrors all the time. They can’t help it. They don’t know what you’ve named things in your code, so they have to make a logical guess or use a placeholder - which will usually be wrong. Even the best models, such as o1 and Claude Sonnet 3.5, are helpless here. In fact, many people accuse AI of “hallucinating”, when really they’re referring to a simple NameError, where the AI isn’t to blame. Whilst simple to fix (in theory), this is quite a pain and every developer should have their eyes open for NameErrors (and indentation issues also - remember those?) when using AI coding tools that don’t have full context awareness. Fine is the AI coding tool to choose to avoid these errors. Because it indexes your repositories and issues, the AI can identify the correct names in your codebase and save you hours of debugging. Error 3: IndexErrors IndexErrors arise when you try to access an index that doesn’t exist in a list. Imagine trying to grab the fifth apple from a basket that only has four—you’re bound to run into trouble. This often happens due to off-by-one errors, where the index is either too high or too low. If you’re not familiar with how python’s range works or how slicing works, it’s a good idea to sharpen up on it to avoid index errors. How to Avoid: Double-check your list boundaries and validate your input data. Fine can highlight potential IndexErrors, helping you avoid those pesky off-by-one mistakes. This is particularly useful in scenarios where your code dynamically generates or manipulates lists, which can lead to unpredictable indexing issues. Error 4: KeyErrors KeyErrors happen when you try to access a dictionary key that isn’t present. It’s like asking for the keys to a car that you don’t own—not going to get far! How to Avoid: Use the .get() method or check for key existence before access. Fine can help by suggesting safe dictionary access patterns, reducing the risk of a KeyError. Error 5: ImportErrors ImportErrors happen when a module isn’t imported correctly, either because it’s missing, you’ve made a typo in the import path, or you’ve created a circular import. These errors are common when managing dependencies across different environments. Imagine - File A tries to import File B, which tries to import File A. How to Avoid: Ensure your modules are properly installed and avoid overly complex import chains. Fine’s AI can track your imports and warn you about potential issues, making it easier to manage your dependencies. A Recurring Theme in the Python Errors AI Makes NameErrors, ImportErrors, AttributeErrors, KeyErrors - AI will keep making these mistakes as long as it doesn’t have the full context of your codebase. It’s like if I were to ask you to write code for my platform, but without showing you my existing repo. How would you know what to refer to? How Fine Can Help You Avoid These Errors Fine is designed to be your coding companion, catching these common Python errors before they can trip you up. Using advanced AI algorithms, Fine provides real-time feedback, highlights potential issues, and offers tailored suggestions to keep your code clean and error-free. Whether you’re dealing with indentation issues, NameErrors, or TypeErrors, Fine acts as your second pair of eyes, ensuring that your development process remains smooth and efficient. With Fine integrated into your workflow, you can focus on what really matters—building great software. Conclusion Python errors can be a major headache, especially in a startup environment where every line of code counts. By understanding these common errors and how to avoid them, you can write cleaner, more reliable code. And with Fine by your side, you’ll catch and fix these errors effortlessly, keeping your projects on track and your sanity intact. Be careful of code generators that aren’t aware of your existing codebase, such as ChatGPT and GitHub Copilot—they’re more likely to make simple Python mistakes. Ready to take your Python development to the next level? Try Fine today with our free trial and see how our AI-powered coding assistant can help you write error-free code faster. Sign up now, or schedule a demo to discover how Fine can integrate seamlessly into your workflow and boost your team's productivity. Don’t let simple errors slow you down—let Fine handle the details so you can focus on building great software. 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 | 2026-01-13T08:49:34 |
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ai # voicetech # machinelearning # webdev Comments Add Comment 14 min read Integrating Deepgram for Real-Time ASR in Voice Agent Pipelines: A Developer's Journey CallStack Tech CallStack Tech CallStack Tech Follow Dec 15 '25 Integrating Deepgram for Real-Time ASR in Voice Agent Pipelines: A Developer's Journey # ai # voicetech # machinelearning # webdev Comments Add Comment 12 min read How to Adapt Tone to User Sentiment in Voice AI and Integrate Calendar Checks CallStack Tech CallStack Tech CallStack Tech Follow Dec 15 '25 How to Adapt Tone to User Sentiment in Voice AI and Integrate Calendar Checks # ai # voicetech # machinelearning # webdev Comments Add Comment 12 min read Rapid Deployment of AI Voice Agents Using No-Code Builders CallStack Tech CallStack Tech CallStack Tech Follow Dec 15 '25 Rapid Deployment of AI Voice Agents Using No-Code Builders # ai # voicetech # machinelearning # webdev Comments Add Comment 10 min read Monetize Voice AI Solutions for eCommerce Using VAPI Effectively CallStack Tech CallStack Tech CallStack Tech Follow Dec 14 '25 Monetize Voice AI Solutions for eCommerce Using VAPI Effectively # ai # voicetech # webdev # tutorial Comments Add Comment 13 min read Top Advancements in Building Human-Like Voice Agents for Developers CallStack Tech CallStack Tech CallStack Tech Follow Dec 14 '25 Top Advancements in Building Human-Like Voice Agents for Developers # ai # voicetech # machinelearning # webdev Comments Add Comment 11 min read Implementing Real-Time Audio Streaming in VAPI: Use Cases CallStack Tech CallStack Tech CallStack Tech Follow Dec 14 '25 Implementing Real-Time Audio Streaming in VAPI: Use Cases # ai # voicetech # webdev # tutorial Comments Add Comment 10 min read How to Calculate ROI for Voice AI Agents in eCommerce: A Practical Guide CallStack Tech CallStack Tech CallStack Tech Follow Dec 29 '25 How to Calculate ROI for Voice AI Agents in eCommerce: A Practical Guide # ai # voicetech # machinelearning # webdev 1 reaction Comments Add Comment 14 min read When the Web Learned to Speak: How Speech Synthesis and Voice Commands Are Transforming User Experiences Okoye Ndidiamaka Okoye Ndidiamaka Okoye Ndidiamaka Follow Nov 22 '25 When the Web Learned to Speak: How Speech Synthesis and Voice Commands Are Transforming User Experiences # voicetech # webspeechai # speechsynthesis # webdev Comments Add Comment 3 min read Improve WordPress UX with AI: Chatbots, Smart Search, and Voice Assistants Pratik Bhatt Pratik Bhatt Pratik Bhatt Follow for AddWeb Solution Pvt Ltd Sep 8 '25 Improve WordPress UX with AI: Chatbots, Smart Search, and Voice Assistants # wordpress # aiforwordpress # chatbotsandsearch # voicetech 66 reactions Comments Add Comment 3 min read Integrating AI Voice Simulations for Enhanced Call Center Training Evgeny V Evgeny V Evgeny V Follow Jun 10 '25 Integrating AI Voice Simulations for Enhanced Call Center Training # callcenter # contactcenter # ai # voicetech Comments 2 comments 2 min read 🚀 Getting Started with Deepgram Nova-3 for Real-Time Speech-to-Text Moustafa Abdelhamid Moustafa Abdelhamid Moustafa Abdelhamid Follow Feb 25 '25 🚀 Getting Started with Deepgram Nova-3 for Real-Time Speech-to-Text # whisper # speechtotext # voicetech # ai 3 reactions 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 — 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. 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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 Web Development Follow Hide Because the internet... Create Post submission guidelines Be nice. Be respectful. Assume best intentions. Be kind, rewind. Older #webdev posts 77 78 79 80 81 82 83 84 85 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu The Hardest Part of Learning to Code Isn’t Coding (What 2025 Taught Me) Samuel Olabode Samuel Olabode Samuel Olabode Follow Dec 29 '25 The Hardest Part of Learning to Code Isn’t Coding (What 2025 Taught Me) # webdev # javascript # learningtocode # buildinpublic 1 reaction Comments 1 comment 2 min read Chasing 240 FPS in LLM Chat UIs Gokhan KOC Gokhan KOC Gokhan KOC Follow Dec 15 '25 Chasing 240 FPS in LLM Chat UIs # webdev # react # javascript # llm 1 reaction Comments 1 comment 7 min read Stop Buying Macs Just to Fix CSS Fabrizio La Rosa Fabrizio La Rosa Fabrizio La Rosa Follow Dec 15 '25 Stop Buying Macs Just to Fix CSS # webdev # programming # safari # css Comments Add Comment 3 min read Building a Production-Ready Portfolio: Phase 0 - Infra, Git Flow, and Project Foundations Sushant Gaurav Sushant Gaurav Sushant Gaurav Follow Dec 19 '25 Building a Production-Ready Portfolio: Phase 0 - Infra, Git Flow, and Project Foundations # programming # webdev # python # react Comments Add Comment 4 min read How to Adapt Tone to User Sentiment in Voice AI and Integrate Calendar Checks CallStack Tech CallStack Tech CallStack Tech Follow Dec 15 '25 How to Adapt Tone to User Sentiment in Voice AI and Integrate Calendar Checks # ai # voicetech # machinelearning # webdev Comments Add Comment 12 min read React State, Immutability, and Why Mutating Stuff Feels Like Hugging Someone Else’s Wife Farhan Khan Farhan Khan Farhan Khan Follow Dec 16 '25 React State, Immutability, and Why Mutating Stuff Feels Like Hugging Someone Else’s Wife # react # javascript # programming # webdev 1 reaction Comments Add Comment 2 min read Why I Went Back to Basics: What 20,000 XP on W3Schools Taught Me About Coding Sandip Yadav Sandip Yadav Sandip Yadav Follow Jan 9 Why I Went Back to Basics: What 20,000 XP on W3Schools Taught Me About Coding # w3schools # programming # webdev # javascript Comments Add Comment 2 min read GitHub Copilot Code Review Alternatives: What Works Better? Cubic Cubic Cubic Follow Dec 17 '25 GitHub Copilot Code Review Alternatives: What Works Better? # webdev # ai # programming # productivity Comments Add Comment 4 min read How to Build Applications That Survive the Real World Olusola Ojewunmi Olusola Ojewunmi Olusola Ojewunmi Follow Dec 15 '25 How to Build Applications That Survive the Real World # laravel # devops # webdev # backend Comments Add Comment 7 min read Architecting Global Commerce: A Developer’s Guide to Multi-Language, Multi-Currency, and Tax Compliance Indian Website Company Indian Website Company Indian Website Company Follow Dec 15 '25 Architecting Global Commerce: A Developer’s Guide to Multi-Language, Multi-Currency, and Tax Compliance # architecture # backend # webdev Comments Add Comment 6 min read Integrating AI into a SaaS Platform Coleton Moon Coleton Moon Coleton Moon Follow Dec 15 '25 Integrating AI into a SaaS Platform # programming # ai # webdev # productivity Comments Add Comment 3 min read I built the Ultimate Open Source YouTube Downloader (No Ads, Next.js 16) 🎥 Edvin Edvin Edvin Follow Dec 15 '25 I built the Ultimate Open Source YouTube Downloader (No Ads, Next.js 16) 🎥 # nextjs # react # opensource # webdev Comments Add Comment 2 min read How to stop OpenAI API credit draining using Client-Side Proof of Work (Node + React) Ronald Oloo Ronald Oloo Ronald Oloo Follow Dec 19 '25 How to stop OpenAI API credit draining using Client-Side Proof of Work (Node + React) # javascript # security # webdev # node 2 reactions Comments Add Comment 2 min read 12 Open Source Gems To Become The Ultimate Developer Parth G Parth G Parth G Follow Jan 9 12 Open Source Gems To Become The Ultimate Developer # frontend # developers # webdev # react 8 reactions Comments 1 comment 4 min read The Obstacles I Faced in Personal Development and How I Chose My Tech Stack Ume Ume Ume Follow Dec 28 '25 The Obstacles I Faced in Personal Development and How I Chose My Tech Stack # webdev # security # serverless # architecture Comments Add Comment 5 min read How I Built a Multilingual Developer News Hub in a Weekend shipi18n shipi18n shipi18n Follow Dec 15 '25 How I Built a Multilingual Developer News Hub in a Weekend # javascript # i18n # react # webdev Comments Add Comment 3 min read Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin tanvi Mittal tanvi Mittal tanvi Mittal Follow for AI and QA Leaders Dec 18 '25 Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin # webdev # ai # programming # testing 5 reactions Comments Add Comment 3 min read Coding Without Pressure: How Slowing Down Helped Me Learn Faster Hadil Ben Abdallah Hadil Ben Abdallah Hadil Ben Abdallah Follow Dec 25 '25 Coding Without Pressure: How Slowing Down Helped Me Learn Faster # webdev # productivity # programming # codenewbie 244 reactions Comments 83 comments 3 min read Comparing API Architecture Choices: A Technical Evaluation of Six Setups Tested in Personal Development Ume Ume Ume Follow Dec 28 '25 Comparing API Architecture Choices: A Technical Evaluation of Six Setups Tested in Personal Development # webdev # architecture # serverless Comments Add Comment 4 min read I built a free JSON Viewer, Formatter & Converter for developers Avinash Verma Avinash Verma Avinash Verma Follow Dec 16 '25 I built a free JSON Viewer, Formatter & Converter for developers # showdev # json # webdev # developer Comments 1 comment 1 min read Django E-commerce site Abdisalam Sheek Abdisalam Sheek Abdisalam Sheek Follow Dec 16 '25 Django E-commerce site # showdev # webdev # python # django Comments Add Comment 1 min read Mock Data API That Actually Understands Foreign Keys Divan Divan Divan Follow Dec 15 '25 Mock Data API That Actually Understands Foreign Keys # webdev # programming # api # sideprojects Comments Add Comment 4 min read Building an AI Video Generator with Proper Audio Sync: What I Learned Lee Lee Lee Follow Dec 15 '25 Building an AI Video Generator with Proper Audio Sync: What I Learned # webdev # ai Comments Add Comment 5 min read The "Rescue Mission": How to Lead a Team of Git Beginners Without Losing Your Mind Chimaobi Prince Chimaobi Prince Chimaobi Prince Follow Dec 15 '25 The "Rescue Mission": How to Lead a Team of Git Beginners Without Losing Your Mind # webdev # ai # gemini # git Comments Add Comment 4 min read Common Mistakes Beginners Make in JavaScript (I Made Them Too) Md Akash Mia Md Akash Mia Md Akash Mia Follow Dec 21 '25 Common Mistakes Beginners Make in JavaScript (I Made Them Too) # webdev # programming # javascript # php 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 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. 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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 # tauri Follow Hide Create Post Older #tauri posts 1 2 3 4 5 6 7 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu PakePlus: Turn Your Web App into a Desktop/Mobile App in Minutes! GitHubOpenSource GitHubOpenSource GitHubOpenSource Follow Jul 24 '25 PakePlus: Turn Your Web App into a Desktop/Mobile App in Minutes! # rust # tauri # crossplatform # web Comments Add Comment 3 min read windows-contextmenu-manager: tauri and rust 阿豪 阿豪 阿豪 Follow Jul 26 '25 windows-contextmenu-manager: tauri and rust # tauri # rust # windows # contextmenu Comments Add Comment 1 min read Tauri vs. Electron: performance, bundle size, and the real trade-offs Iason Paraskevopoulos Iason Paraskevopoulos Iason Paraskevopoulos Follow for Hopp Jul 7 '25 Tauri vs. Electron: performance, bundle size, and the real trade-offs # electron # tauri # javascript # programming Comments Add Comment 6 min read windows-contextmenu-manager 00:23 阿豪 阿豪 阿豪 Follow Jul 27 '25 windows-contextmenu-manager # rust # windows # tauri # contextmenu 3 reactions Comments 1 comment 1 min read ForskScope (diff viewer) 0.22 is in AUR nabbisen nabbisen nabbisen Follow Jun 1 '25 ForskScope (diff viewer) 0.22 is in AUR # diff # rust # tauri # svelte 2 reactions Comments Add Comment 1 min read Starting Desktop Application Development: An Introduction To Tauri Debajyoti sarkar Debajyoti sarkar Debajyoti sarkar Follow Jul 4 '25 Starting Desktop Application Development: An Introduction To Tauri # programming # rust # react # tauri 2 reactions Comments 2 comments 2 min read NoteGen is a cross-platform Markdown note-taking application codexu codexu codexu Follow May 29 '25 NoteGen is a cross-platform Markdown note-taking application # markdown # tauri # github Comments Add Comment 1 min read Tauri Framework: Code-First Deep Dive : E1 uknowWho uknowWho uknowWho Follow Jun 22 '25 Tauri Framework: Code-First Deep Dive : E1 # programming # reverseengineering # tauri # rust 2 reactions Comments 3 comments 19 min read 🚀 Building a Tauri v2 + Drizzle + SQLite App — Starter Template Mohamed Djelaili Mohamed Djelaili Mohamed Djelaili Follow Jun 21 '25 🚀 Building a Tauri v2 + Drizzle + SQLite App — Starter Template # tauri # drizzle # sqlite 3 reactions Comments Add Comment 2 min read How to make your Tauri dev faster Yuexun Jiang Yuexun Jiang Yuexun Jiang Follow May 1 '25 How to make your Tauri dev faster # rust # tauri Comments Add Comment 5 min read Adding Auth0 to Your Tauri App: Secure Authentication for Agx on Web and Desktop Yann Amsellem Yann Amsellem Yann Amsellem Follow Jun 2 '25 Adding Auth0 to Your Tauri App: Secure Authentication for Agx on Web and Desktop # webdev # tutorial # tauri # auth0 6 reactions Comments 3 comments 5 min read JSON Prettier – An Offline JSON Formatter Built with Rust and Tauri rebase rebase rebase Follow May 29 '25 JSON Prettier – An Offline JSON Formatter Built with Rust and Tauri # json # tauri # rust # react Comments 1 comment 1 min read PDF Tile Viewer 1.1.2 nabbisen nabbisen nabbisen Follow May 16 '25 PDF Tile Viewer 1.1.2 # gui # rust # tauri # svelte 4 reactions Comments Add Comment 1 min read File Architect — Create file and folder structures with plain text Sébastien Lavoie Sébastien Lavoie Sébastien Lavoie Follow Mar 17 '25 File Architect — Create file and folder structures with plain text # laravel # tauri # javascript # productivity Comments Add Comment 1 min read I built open-source app to stop micromanaging my finance Philipp Rich Philipp Rich Philipp Rich Follow May 23 '25 I built open-source app to stop micromanaging my finance # android # tauri # react # finance Comments 3 comments 2 min read Como Utilizar o Leitor NFC ACR122U/ACR122 no Tauri com Rust Leandro Campos Leandro Campos Leandro Campos Follow Mar 28 '25 Como Utilizar o Leitor NFC ACR122U/ACR122 no Tauri com Rust # development # tauri # react # beginners 13 reactions Comments 3 comments 3 min read Tauri File Management on Android Philipp Rich Philipp Rich Philipp Rich Follow Mar 10 '25 Tauri File Management on Android # tauri # mobile # react # javascript 3 reactions Comments 2 comments 4 min read Eddit – A Simple, Open-Source Video Editing Tool 🚀 Abdul Khadar Abdul Khadar Abdul Khadar Follow Mar 2 '25 Eddit – A Simple, Open-Source Video Editing Tool 🚀 # programming # tauri # opensource # react 3 reactions Comments 1 comment 2 min read Why I Ditched Electron for Tauri Best Codes Best Codes Best Codes Follow Feb 26 '25 Why I Ditched Electron for Tauri # rust # programming # tauri # typescript 43 reactions Comments 15 comments 3 min read Tauri (8) - Implementing global shortcut key function Rain9 Rain9 Rain9 Follow Jan 25 '25 Tauri (8) - Implementing global shortcut key function # tauri # rust # react # shortcut 5 reactions Comments Add Comment 8 min read Tauri (9) - Implementing automatic startup of desktop applications Rain9 Rain9 Rain9 Follow Jan 27 '25 Tauri (9) - Implementing automatic startup of desktop applications # tauri # rust # react # webdev 5 reactions Comments Add Comment 4 min read Tauri (1) — A desktop application development solution more suitable for web developers ✅ Rain9 Rain9 Rain9 Follow Jan 25 '25 Tauri (1) — A desktop application development solution more suitable for web developers ✅ # tauri # rust # react # electron 7 reactions Comments 1 comment 6 min read Tauri (7) - Implementing OAuth login functionality Rain9 Rain9 Rain9 Follow Jan 22 '25 Tauri (7) - Implementing OAuth login functionality # tauri # rust # oauth # react 10 reactions Comments Add Comment 3 min read Tauri (2) — Quick Start with Tauri + React (Open Source) Rain9 Rain9 Rain9 Follow Dec 23 '24 Tauri (2) — Quick Start with Tauri + React (Open Source) # webdev # tauri # react # ai 5 reactions Comments Add Comment 4 min read Tauri (6) — Invoke desktop application functionality through the browser Rain9 Rain9 Rain9 Follow Jan 21 '25 Tauri (6) — Invoke desktop application functionality through the browser # tauri # rust # react # webdev 5 reactions Comments 3 comments 4 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 — 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. 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https://www.fine.dev/blog/fines-journey#pricing | From Producing a Web Series to Founding a Startup: Fine’s Journey Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back From Producing a Web Series to Founding a Startup: Fine’s Journey This week, we released the first version of Fine – a platform for building software with AI coding agents. It took us almost a year to get here, and the journey was filled with challenges and accomplishments, alongside failures and disappointments. I wanted to take a moment to share my experience with you, and I hope you'll find inspiration in our story. A Different Way to Ideate About a year ago, our team of three founders began the ideation process. We wanted to build something we would enjoy using, and as programmers, we were naturally drawn to developer tools. We knew that every good startup is based on a great problem, so we set out looking for worthy problems developers face. The common approach is to conduct interviews with future clients. We aimed to interview leading R&D execs to hear about the issues their organizations face. However, these execs are busy people, and we couldn't expect them to easily make time for us. Moreover, conducting customer interviews is challenging – getting people to open up isn't straightforward, and it's rare for someone to explicitly say, "This is EXACTLY the problem I'm facing." Our solution? We decided to produce a documentary web series and invite them to participate. We thought if we could convince companies to join, we'd get direct access to everyone we wanted to interview within the organization. And that's exactly what happened. Dark{mode}: Insights from R&D Execs We went on to create Dark{mode}, the first web series about developer experience (which later became the largest tech web series in Israel). We spent over 60 hours interviewing R&D executives from companies like Wix, Taboola, AppsFlyer, and AI21 Labs. We told participants in advance, "The conversations will focus on what doesn't work. Don't tell us the good stories." And so, we heard about the problems affecting developer experience. These conversations uncovered 81 "blockers" that hinder progress in the tech world, covering areas from PRs and design to communication and teamwork. Producing the series had its challenges: it involved more people than we initially anticipated, required content verification by the featured companies, and demanded collaboration with numerous service providers to maintain high-quality standards. All of this consumed precious hours that could have been devoted directly to our startup. However, this unconventional approach had its advantages. We gained direct access to the interviews we needed and garnered attention in Israel's tech scene, making it easier to connect with investors. The Birth of Fine Inspired by the challenges we uncovered, we started exploring ways to make a meaningful impact. Three critical factors guided our thinking throughout this process: Anticipating the Future : We constantly asked ourselves where the software world was headed. What solutions would be in demand not just today but tomorrow? Leveraging Our Skills : We assessed our team's unique skills to understand how we could best support our idea. Embracing New Technologies : We kept a keen eye on emerging technologies that were previously unavailable. Eventually, after iterating on a few ideas, we envisioned an AI-powered platform where developers receive significant assistance in building software. We didn't want to merely boost productivity; we wanted developers to delegate entire software tasks to AI. Our vision was for developers to focus solely on what they want to build, not how to build it. Confident in our idea, we began sharing it and tried raising initial capital. It wasn't easy. The market was uncertain about AI's role in software development, and securing funding took time. The first three months were marked by relentless pitching, numerous rejections, and an industry on edge. But we stayed determined, focused on building our vision and believing Fine's potential would become evident with time. Early Milestones and Building a Community Our journey gained momentum as we started building the platform. We launched a Discord community and sought early adopters willing to try Fine. Gradually, our community expanded, and Fine garnered attention online. I personally engaged with new Discord users, gathering feedback to refine our product and progress beyond the Proof of Concept stage. The interviews with community members helped us understand that we needed to set ourselves apart by prioritizing collaboration, protecting privacy, and enabling the creation of multi-agents. Three months later, our hard work paid off when we secured our first client. It was a pivotal moment, a testament to the potential of our product and the dedication of our team. Today, our user community continues to grow, with almost 400 users joining the Fine journey, eager to explore the future of software engineering. What's Next for Us Today, we're releasing the first version of Fine. Learning from past mistakes, we will onboard a limited number of users and provide free credits to help them get started. During launch week, we expect to encounter many bugs, fix issues, and be more engaged with our community. Updates will continue to roll out, and we plan to follow Supabase's "Launch Week" pattern, which is a great best practice for startups. Throughout this year of challenges and countless rejections, our vision for Fine remained our guiding light. It may sound like a startup cliché, but it genuinely sustained us during the tough times. It's crucial to maintain a bold yet clear vision. Ours is to replace the traditional IDE and become the definitive entry point for software development. This vision fuels our determination, especially when faced with adversity. Our journey is far from over. We know the road ahead will be long and filled with challenges, but we are determined to keep our eyes on the ultimate goal. Every email, every breakthrough, and every step forward brings us closer to realizing our vision. The story of Fine is just beginning, and I invite you all to be a part of it. If you're a software developer, I invite you to join us today on this exciting journey and create something extraordinary together. Our product is waiting for you here , and our Discord community is where you can get help and support. Another Year On: 2024 Update Another year has passed, and Fine has continued to evolve. The landscape of AI-powered developer tools has changed significantly, with many new competitors entering the market. Despite the increased competition, Fine remains unique in its approach and vision. We have introduced several new features that set us apart from others. Fine now integrates seamlessly with GitHub, Linear, and Sentry, making it easier than ever for developers to manage their workflows and track progress. Our automated workflows have streamlined the development process, allowing developers to focus more on creativity and problem-solving rather than repetitive tasks. We're also excited about our soon-to-be-released Live Previews feature. This will enable developers to build, run, and test AI-generated code in a secure virtual machine within their browser. With Live Previews, you can run the code, view console logs, and see a preview of the result – all without leaving the browser. This feature will make AI coding more seamless and effective, reducing the "works on my machine" issues and fostering more collaborative development. As we continue to innovate, our community grows stronger, and we're more committed than ever to transforming software development. The journey of Fine is still in its early days, and we're excited for what the future holds. Join us, and let's shape the future of software engineering together. Try out our free plan here . 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/bolt-vs-v0-fr#comparative-analysis | Comparaison entre Bolt.new et v0 par Vercel : Quel outil de développement alimenté par l'IA convient le mieux à votre startup ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparaison entre Bolt.new et v0 par Vercel : Quel outil de développement alimenté par l'IA convient le mieux à votre startup ? Chaque seconde compte. Choisissez la mauvaise plateforme de développement alimentée par l'IA, et vous risquez l'épuisement. Nous comparerons deux outils clés—Bolt.new et v0 par Vercel—puis nous présenterons Fine , l'alternative qui pourrait être exactement ce dont vous avez besoin. Table des Matières Introduction : Mettre la scène Aperçu de Bolt.new et v0 par Vercel Analyse Comparative Les Lacunes Cachées Entrez Fine : L'arme secrète des startups Appel à l'action : Essayez Fine aujourd'hui Conclusion Bibliographie Aperçu de Bolt.new et v0 par Vercel Bolt.new Qu'est-ce que c'est : Bolt.new est une plateforme de développement full-stack alimentée par l'IA qui fonctionne directement dans votre navigateur. Conçu pour simplifier le processus de développement, Bolt.new utilise l'intelligence artificielle pour faciliter la création rapide d'applications sans les contraintes traditionnelles. Caractéristiques clés : Génère et exécute des applications multi-pages : Créez des applications complexes et multi-pages sans effort. Utilise des invites en langage naturel : Interagissez avec la plateforme en utilisant des commandes simples en langage naturel, rendant le développement plus intuitif. Déploiement en un clic : Déployez vos applications en un seul clic, réduisant le temps entre le développement et la production. Forces : Bolt.new excelle dans le prototypage rapide et la mise à l'échelle facile. Son approche pilotée par l'IA permet aux développeurs, en particulier ceux qui débutent, de rapidement itérer sur des idées et de faire évoluer les applications à mesure que les demandes des utilisateurs augmentent, le tout dans une interface conviviale. v0 par Vercel Qu'est-ce que c'est : v0 par Vercel est un générateur d'interface utilisateur piloté par l'IA spécialement conçu pour React et Tailwind CSS. Il se concentre sur l'amélioration de l'expérience de développement front-end, facilitant la création d'interfaces utilisateur attrayantes et réactives. Caractéristiques clés : Génère des composants React à partir du langage naturel : Décrivez l'interface utilisateur souhaitée, et v0 générera les composants React correspondants. Intégration transparente avec Next.js et Tailwind : Conçu pour fonctionner parfaitement avec Next.js et Tailwind CSS, garantissant que vos projets maintiennent cohérence et évolutivité. SDK AI 3.0 pour le rendu d'interface utilisateur en temps réel : Utilisez le dernier SDK AI pour rendre les interfaces utilisateur en temps réel, facilitant les retours et ajustements immédiats. Forces : v0 est particulièrement bénéfique pour ceux qui déploient leur front-end via Vercel. Analyse Comparative Vitesse de Développement : Quel outil sort votre MVP plus rapidement ? Lorsque le temps est essentiel, la vitesse de développement est primordiale. Bolt.new brille avec ses capacités full-stack pilotées par l'IA, permettant un prototypage rapide et des transitions rapides du développement au déploiement. Sa fonctionnalité de déploiement en un clic garantit que votre produit minimum viable (MVP) peut atteindre le marché rapidement sans les retards habituels. D'un autre côté, v0 par Vercel est optimisé pour le développement front-end. Bien qu'il accélère la création d'interfaces utilisateur avec sa génération de composants pilotée par le langage naturel, il peut nécessiter des outils ou plateformes supplémentaires pour gérer les fonctionnalités back-end, allongeant potentiellement le délai de développement global pour un MVP full-stack. Gagnant : Bolt.new offre une solution plus complète pour sortir un MVP plus rapidement, surtout si votre projet exige des capacités front-end et back-end dès le départ. Intégration de la Pile Technologique : Flexibilité dans le choix des bibliothèques et des frameworks Bolt.new fournit un environnement unifié qui peut limiter la flexibilité dans le choix de bibliothèques et de frameworks spécifiques en dehors de son écosystème. Bien qu'il prenne en charge la génération et la mise à l'échelle d'applications multi-pages, l'intégration d'outils supplémentaires pourrait nécessiter des solutions de contournement ou ne pas être aussi transparente. v0 par Vercel excelle dans l'intégration de la pile technologique, en particulier pour les projets centrés sur React et Tailwind CSS. Son intégration transparente avec Next.js permet aux développeurs de tirer parti d'un framework robuste et populaire, garantissant la compatibilité avec une large gamme de bibliothèques et d'outils au sein de l'écosystème React. Gagnant : v0 par Vercel offre une plus grande flexibilité pour les projets qui reposent fortement sur des frameworks et bibliothèques front-end spécifiques, ce qui en fait un meilleur choix pour les piles technologiques centrées sur React et Tailwind. Facilité d'utilisation : À quel point sont-ils intuitifs pour les développeurs non experts ? Les deux plateformes privilégient des interfaces conviviales, mais leurs approches diffèrent. Bolt.new utilise des invites en langage naturel pour le développement, le rendant très accessible pour les développeurs non experts ou ceux qui débutent dans le développement full-stack. Son ensemble d'outils complet réduit la courbe d'apprentissage, permettant aux utilisateurs de se concentrer sur la construction plutôt que sur la configuration. v0 par Vercel utilise également des invites en langage naturel pour générer des composants d'interface utilisateur, ce qui simplifie le développement front-end. Cependant, son focus est plus spécialisé, ce qui pourrait nécessiter des utilisateurs d'avoir une compréhension de base de React et Tailwind pour tirer pleinement parti de ses capacités. Gagnant : Bolt.new se démarque légèrement comme l'option la plus intuitive pour les développeurs non experts cherchant une solution full-stack sans avoir besoin de connaissances techniques approfondies. Collaboration : Support pour les projets en équipe et les boucles de rétroaction Une collaboration efficace est essentielle pour les équipes de startups. Bolt.new offre des fonctionnalités collaboratives qui soutiennent les projets en équipe, permettant à plusieurs développeurs de travailler simultanément et d'intégrer les retours de manière transparente. Son environnement piloté par l'IA facilite la collaboration en temps réel, rendant plus facile la gestion des flux de travail d'équipe. v0 par Vercel prend également en charge la collaboration, en particulier dans le contexte du développement front-end. Son intégration avec les outils de conception et le rendu d'interface utilisateur en temps réel favorise un processus de conception et de développement collaboratif. Cependant, son focus sur le front-end pourrait nécessiter des outils de collaboration supplémentaires pour les projets back-end ou full-stack. Gagnant : Les deux plateformes offrent de solides fonctionnalités de collaboration, mais Bolt.new fournit une approche plus holistique pour les projets d'équipe full-stack, le rendant plus adapté à une collaboration d'équipe complète. Options de Déploiement : Déploiement en un clic de Bolt.new vs. Intégrations spécifiques à la plateforme de Vercel Bolt.new simplifie le déploiement avec sa fonctionnalité de déploiement en un clic, permettant aux développeurs de pousser leurs applications en production sans effort. Ce processus simplifié est idéal pour les startups nécessitant des déploiements rapides sans configuration étendue. v0 par Vercel, faisant partie de l'écosystème Vercel, offre des intégrations spécifiques à la plateforme qui fournissent un déploiement optimisé pour les applications front-end. Bien qu'il excelle dans le déploiement de projets React et Tailwind, le processus pourrait nécessiter plus d'étapes par rapport à l'approche de déploiement tout-en-un de Bolt.new. Gagnant : Bolt.new offre un processus de déploiement plus rapide et plus simple, ce qui est avantageux pour les startups cherchant à minimiser les complexités de déploiement. Coût et Accessibilité : Niveaux gratuits vs. plans payants et limitations Bolt.new et v0 par Vercel offrent tous deux des niveaux gratuits, permettant aux startups d'explorer leurs fonctionnalités sans engagement financier immédiat. Cependant, leurs plans payants varient en termes de fonctionnalités et d'évolutivité. Le niveau gratuit de Bolt.new inclut des fonctionnalités essentielles pour les petits projets, mais la mise à l'échelle pourrait nécessiter une mise à niveau vers des plans payants offrant des capacités améliorées comme des fonctionnalités avancées d'IA et des limites de déploiement plus élevées. v0 par Vercel s'intègre dans le modèle de tarification de Vercel, qui propose des plans évolutifs basés sur l'utilisation. Le niveau gratuit est généreux pour les projets front-end, mais une utilisation intensive ou le besoin d'intégrations avancées nécessitera de passer à un plan payant. Gagnant : Les deux plateformes offrent des structures de tarification compétitives, mais Bolt.new peut présenter une solution plus rentable pour les besoins full-stack, tandis que v0 par Vercel est idéal pour les startups fortement axées sur le développement front-end. Les Lacunes Cachées Bien que Bolt.new et v0 par Vercel offrent des fonctionnalités impressionnantes, ils ont leurs lacunes que les startups devraient considérer. Où Bolt.new est insuffisant : Intégrations limitées avec les gestionnaires de problèmes : Bolt.new manque d'intégrations étendues avec des gestionnaires de problèmes populaires comme GitHub ou Linear , qui sont essentiels pour gérer les flux de travail de développement et suivre les bugs. Où v0 par Vercel est insuffisant : Support limité pour le back-end et le full-stack : v0 est principalement axé sur la génération d'interface utilisateur front-end , offrant un support limité pour les solutions back-end et full-stack, ce qui peut entraver le développement d'applications complètes. Lacunes communes : Automatisation collaborative minimale : Les deux plateformes fournissent des fonctionnalités de collaboration de base mais manquent d' automatisation collaborative avancée au-delà du développement individuel, rendant difficile la gestion efficace de projets d'équipe plus grands et plus complexes. Entrez Fine : L'arme secrète des startups Bien que Bolt.new et v0 par Vercel aient chacun leurs forces, Fine émerge comme la solution ultime qui comble leurs lacunes et offre un environnement de développement plus complet adapté aux startups. Comment Fine comble les lacunes : Support complet des agents IA : Fine prend en charge le développement front-end et back-end, fournissant des agents IA qui gèrent l'ensemble de la pile. Cela élimine le besoin de jongler avec plusieurs outils et garantit un processus de développement cohérent. Aperçus en direct : Construisez, exécutez et testez vos applications directement dans le navigateur avec les aperçus en direct de Fine. Cette fonctionnalité permet aux développeurs de voir les changements en temps réel, facilitant les retours immédiats et les itérations plus rapides. Automatisation des flux de travail : Fine automatise les tâches répétitives, réduisant les temps de cycle de développement et permettant aux développeurs de se concentrer sur ce qui compte vraiment—créer des solutions innovantes. Les fonctionnalités d'automatisation rationalisent les flux de travail, améliorant la productivité et l'efficacité. Collaboration en équipe : Avec des espaces de travail partagés, Fine offre une gestion de projet rationalisée pour les équipes. Plusieurs développeurs peuvent travailler ensemble sans heurts, avec des boucles de rétroaction intégrées et des outils collaboratifs qui améliorent le travail d'équipe et la communication. Avantages spécifiques pour les startups : Lancements de MVP plus rapides avec moins de bugs : L'ensemble d'outils complet et les capacités pilotées par l'IA de Fine permettent aux startups de développer et de lancer leurs MVP rapidement tout en maintenant une haute qualité de code, réduisant la probabilité de bugs et d'erreurs. Cohérence et qualité du code améliorées : La plateforme impose des normes de codage cohérentes et des meilleures pratiques, garantissant que la base de code reste maintenable et évolutive à mesure que la startup grandit. Intégration avec GitHub et Linear pour un flux de travail de bout en bout : Fine s'intègre parfaitement avec des outils populaires comme GitHub et Linear, fournissant un flux de travail de bout en bout qui englobe le contrôle de version, le suivi des problèmes et la gestion de projet. Cette intégration garantit que tous les aspects du développement sont interconnectés et facilement gérables. Appel à l'action : Essayez Fine aujourd'hui Que vous soyez intrigué par l'environnement full-stack tout-en-un de Bolt.new ou la génération d'interface utilisateur élégante de v0 par Vercel, Fine offre le parfait mélange des deux mondes—et bien plus encore. En répondant aux limitations des deux plateformes et en fournissant un environnement de développement plus holistique, Fine se distingue comme le choix optimal pour les startups cherchant à gagner du temps, réduire la complexité et évoluer efficacement. Prêt à élever votre processus de développement ? Essayez Fine aujourd'hui avec notre essai gratuit ou profitez de notre processus d'inscription facile pour commencer à construire votre prochaine grande idée sans tracas. Conclusion Choisir le bon outil de développement est une décision critique pour les startups cherchant à construire des applications robustes et évolutives efficacement. Bolt.new offre une solution full-stack puissante avec des capacités de déploiement rapide, tandis que v0 par Vercel excelle dans la génération d'interface utilisateur front-end et l'intégration transparente avec React et Tailwind. Cependant, les deux plateformes ont leurs limitations, notamment dans des domaines comme les intégrations complètes et l'automatisation collaborative. Fine émerge comme la solution ultime pour les développeurs de startups, comblant les lacunes laissées par Bolt.new et v0 par Vercel. Avec son support complet des agents IA, ses aperçus en direct, son automatisation des flux de travail et ses fonctionnalités robustes de collaboration en équipe, Fine permet aux startups de lancer plus rapidement, de maintenir une haute qualité de code et d'évoluer sans heurts. L'histoire de réussite de votre startup commence avec les bons outils. Choisissez Fine et mettez votre processus de développement sur la voie de l'efficacité, de l'innovation et de la croissance . Table des Matières Complète Introduction : Mettre la scène Aperçu de Bolt.new et v0 par Vercel Bolt.new v0 par Vercel Analyse Comparative Vitesse de Développement : Quel outil sort votre MVP plus rapidement ? Intégration de la Pile Technologique : Flexibilité dans le choix des bibliothèques et des frameworks Facilité d'utilisation : À quel point sont-ils intuitifs pour les développeurs non experts ? Collaboration : Support pour les projets en équipe et les boucles de rétroaction Options de Déploiement : Déploiement en un clic de Bolt.new vs. Intégrations spécifiques à la plateforme de Vercel Coût et Accessibilité : Niveaux gratuits vs. plans payants et limitations Les Lacunes Cachées Où Bolt.new est insuffisant Où v0 par Vercel est insuffisant Lacunes communes Entrez Fine : L'arme secrète des startups Comment Fine comble les lacunes Avantages spécifiques pour les startups Appel à l'action : Essayez Fine aujourd'hui Conclusion Bibliographie Bibliographie 10Web. (n.d.). v0 par Vercel Review: Features, Pros, and Cons. Retrieved from https://10web.io/ai-tools/v0-by-vercel/ AI Product Reviews. (2024). Bolt.new: Features, Pricing, and Alternatives. Retrieved from https://ai-product-reviews.com/boltnew AI Review. (2023). v0 par Vercel: Price, Pros & Cons, Alternatives, App Reviews. Retrieved from https://ai-review.com/developer-tools/v0-by-vercel/ Aideloje, P. (2024). Vercel v0 and the future of AI-powered UI generation. Retrieved from https://blog.logrocket.com/vercel-v0-ai-powered-ui-generation/ Ånand, M. (2024). Should You Try v0, Webcrumbs or Both?. Retrieved from https://hackernoon.com/should-you-try-v0-webcrumbs-or-both Bolt. (2024). Documentation for Bolt.new. Retrieved from https://docs.bolt.new Bolt. (2024). GitHub Repository: Bolt.new. Retrieved from https://github.com/coleam00/bolt.new-any-llm Bolt. (2024). Introducing Bolt.new: AI-Powered Full-Stack Development in Your Browser. Retrieved from https://bolt.new Gelfenbuim, L. (2023). Vercel v0 First Impressions. Retrieved from https://lev.engineer/blog/vercel-v0-first-impressions Harris, L. (2024). Bolt.new vs. Vercel v0: Which AI Tool is Better for Web Development?. Retrieved from https://ai-tool-comparison.com/bolt-vs-v0 Johnson, R. (2024). How Bolt.new Simplifies Full-Stack Development for AI Enthusiasts. Retrieved from https://codejournal.io/boltnew-ai NoCodeDevs. (2024). Bolt.new Tutorial for Beginners (The Cursor AI and v0 Killer). Retrieved from https://www.nocodedevs.com/videos/bolt-new-tutorial Parkhomchuk, V. (2024). Vercel v0 AI Review: How To Use, Features And Alternatives. Retrieved from https://www.banani.co/blog/vercel-v0-ai-review Patel, D. (2024). Bolt.new Review: The Future of Full-Stack AI Development?. Retrieved from https://dev.to/patel/best-ai-tools/boltnew Rajab, A. (2024). What is Vercel's AI tool, V0.dev and how do you use it?. Retrieved from https://dev.to/opensauced/what-is-vercels-ai-tool-v0dev-and-how-do-you-use-it-3nge Rivera, J. (2024). Bolt.new Tutorial: Building a Full-Stack App Without Local Setup. Retrieved from https://tutorialcenter.com/boltnew StackShare. (n.d.). Bolt.new - Reviews, Pros & Cons | Companies using Bolt.new. Retrieved from https://stackshare.io/bolt-new StackShare. (n.d.). v0 par Vercel - Reviews, Pros & Cons | Companies using v0 par Vercel. Retrieved from https://stackshare.io/v0-vercel Vercel. (2024). AI SDK 3.0: Now Supporting Generative UI. Retrieved from https://vercel.com/blog/ai-sdk-3-generative-ui Vercel. (2024). Announcing v0: Generative UI by Vercel. Retrieved from https://vercel.com/blog/announcing-v0-generative-ui Vercel. (2024). v0 FAQ. Retrieved from https://v0.dev/faq Vercel. (2024). v0 Subscription Plans. Retrieved from https://v0.dev/subscription Wavel. (n.d.). v0 Review - Features, Pricing and Alternatives. Retrieved from https://wavel.io/ai-tools/v0-2/ YouTube. (2024). Bolt.new | Vercel v0 Killer? Retrieved from https://www.youtube.com/watch?v=R-frcOq6Kdc Zeniteq. (2024). Vercel's V0 Can Build Web Frontend In Seconds Using AI. Retrieved from https://www.zeniteq.com/blog/vercels-v0-can-build-web-frontend-in-seconds-using-ai 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 | 2026-01-13T08:49:34 |
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https://www.fine.dev/blog/how-to-use-github-copilot#limitations-of-github-copilot | How to Use GitHub Copilot Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Use GitHub Copilot Introduction GitHub Copilot has been a game-changer for developers looking to write code faster, with fewer errors, and a smoother workflow. It's an AI pair programmer that takes a lot of the heavy lifting out of coding, freeing up your time and energy to focus on the bigger picture. In this blog post, we'll dive into how to use GitHub Copilot effectively and explore how it can significantly improve your productivity as a developer. But we'll also go one step further and look at what else AI can do for developers beyond GitHub Copilot's capabilities. Stick around until the end, where we'll explore how Fine can fill in the gaps. Table of Contents Introduction What Can GitHub Copilot Do? How GitHub Copilot Can Make You Faster Practical Steps to Use GitHub Copilot Why Does GitHub Copilot Hallucinate? Best Practices for Using Copilot Safely Limitations of GitHub Copilot What Else Can AI Do for Developers? Conclusion What Can GitHub Copilot Do? GitHub Copilot is designed to be your AI assistant, generating code suggestions based on the context of your work. Here are some of its standout features: Code Generation: Copilot can generate whole lines or even blocks of code, based on natural language comments or existing code context. Autocomplete Functionality: It helps autocomplete methods, variables, and even complex logic based on what it thinks you need next, making your coding process faster and less repetitive. Code Examples and Snippets: If you're dealing with a function or algorithm you're not familiar with, Copilot can provide examples to guide you. Multi-language Support: Copilot isn't limited to a specific language; it supports Python, JavaScript, TypeScript, Ruby, and many more. How GitHub Copilot Can Make You Faster Speed Up Boilerplate Code: By generating repetitive boilerplate code, Copilot saves hours that developers often lose to monotonous tasks. Discover New APIs and Methods: It can introduce you to libraries or functions that you might not be familiar with, expanding your toolkit while you're working. Natural Language to Code: Simply typing what you want in plain English can lead Copilot to write the corresponding code for you. This saves time looking up syntax or fiddling with commands. Practical Steps to Use GitHub Copilot Install the Extension : First, install GitHub Copilot from the Visual Studio Code extensions marketplace. Activate Copilot : Once installed, make sure to sign in with your GitHub account to activate Copilot. Write Natural Language Comments : Start by writing comments like "// Create a function to calculate Fibonacci numbers". Copilot will suggest code based on your comments. Accept or Modify Suggestions : Review Copilot's suggestions and either accept them, modify them, or ask for alternatives by pressing Tab to cycle through options. Customize Settings : Go into Copilot's settings and tweak how often you receive suggestions, the types of suggestions, and more, to tailor the experience to your workflow. Why Does GitHub Copilot Hallucinate? GitHub Copilot can sometimes generate code that seems correct but actually contains logical flaws, outdated practices, or even completely incorrect information. This phenomenon is often referred to as AI "hallucination." These hallucinations occur because Copilot generates responses based on the vast datasets it was trained on, but it doesn't fully understand the context or correctness of the code. Instead, it predicts what comes next based on patterns it has seen before. Additionally, Copilot has limitations in understanding broader project-specific contexts, which can lead to suggestions that don't align with your particular use case. This is why reviewing and testing the code suggestions provided by Copilot is always necessary to avoid unintended errors or vulnerabilities. Best Practices for Using Copilot Safely To make the most of GitHub Copilot while ensuring your code remains secure and of high quality, consider these best practices: Always Review Generated Code : Never assume the generated code is flawless. Make sure to review it thoroughly to avoid introducing bugs or vulnerabilities into your project. Test All Suggestions : Just like any other code, make sure to test the suggestions provided by Copilot. This helps you catch any mistakes or unexpected behaviors early on. Avoid Sensitive Data Handling : Do not use Copilot for generating code that handles sensitive information, like authentication or encryption, as it may inadvertently introduce security risks. Understand the Code : Use Copilot as a guide, not a crutch. Always strive to understand the code being generated, so you can effectively modify and maintain it over time. Limitations of GitHub Copilot While Copilot is a powerful tool, it's important to recognize its limitations: Lack of Deep Context Awareness : Copilot generates suggestions based on the immediate context but lacks a deep understanding of your entire project. This means it might provide code that doesn't fit well with your broader application logic. Risk of Outdated Practices : The AI model was trained on a large dataset that includes both modern and outdated code. As a result, it can sometimes suggest practices that are no longer recommended. Potential Security Risks : Since Copilot generates code based on patterns it has seen, it may inadvertently include insecure coding practices. This makes it crucial for developers to have a good understanding of security best practices when using it. No Guarantee of Originality : The code Copilot suggests may resemble code from public repositories, potentially raising licensing concerns. Be mindful of this when using its suggestions in proprietary software. What Else Can AI Do for Developers? GitHub Copilot is amazing, but it's not the only player in the field of AI-driven development tools . If you want more than just code suggestions, let’s look at some other tasks that AI can automate for you, and this is where Fine comes into the picture. Help Getting Started: If you're not sure how to begin addressing a feature or an issue, or if you're not sure where in the codebase the relevant code is, just ask Fine. Within GitHub Issues or Linear, you can comment /guideme and Fine will break down the task for you. Answer Questions About Your Code: You can ask Fine questions about your code or different tasks you've been given to get quick answers. Using the power of the LLMs and the knowledge of your codebase, Fine will help you solve puzzles. Revisions to PRs in your browser: Need to make a small change to a PR? Fine allows you to comment /revise on the PR in GitHub followed by the change you'd like and the AI does it for you. Comprehensive Code Documentation : Fine automatically documents your code and changes, making it easier for your team to understand and maintain code for years to come. Automate AI workflows: Using Fine, you can set up AI to perform repeated tasks automatically - such as summarizing and reviewing all new PRs. Conclusion GitHub Copilot is an incredible AI assistant that can boost your efficiency by speeding up coding tasks, reducing repetition, and helping you learn on the go. But, if you're looking to level up your entire development process, from security to bug detection and comprehensive documentation, Fine has a lot to offer. Ready to see how AI can transform the way you work beyond code suggestions? Sign up for Fine today and discover the difference. 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 | 2026-01-13T08:49:34 |
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Grafana Cloud overview LGTM+ Stack Logs powered by Grafana Loki Grafana for visualization Traces powered by Grafana Tempo Metrics powered by Grafana Mimir and Prometheus Key Capabilities AI/ML insights Identify anomalies and reduce toil Contextual root cause analysis Automated anomaly correlation SLO management Create SLOs and error budget alerts Alerting Trigger alerts from any data source Plugins Connect Grafana to data sources, apps, and more Observability Solutions Application Observability Monitor application performance Infrastructure observability Ensure infrastructure health and performance Testing Performance testing Powered by Grafana k6 Synthetic Monitoring powered by Grafana k6 IRM Incident response Routine task automation for incidents On-call management Flexible on-call management Open Source All Open Source Grafana Loki Multi-tenant log aggregation system Grafana Query, visualize, and alert on data Grafana Tempo High-scale distributed tracing backend Grafana Mimir Scalable and performant metrics backend Grafana Pyroscope Scalable continuous profiling backend Grafana Beyla eBPF auto-instrumentation Grafana Faro Frontend application observability web SDK Grafana Alloy OpenTelemetry Collector distribution with Prometheus pipelines Grafana k6 Load testing for engineering teams Prometheus Monitor Kubernetes and cloud native OpenTelemetry Instrument and collect telemetry data Graphite Scalable monitoring for time series data All Community resources Dashboard templates Try out and share prebuilt visualizations Prometheus exporters Get your metrics into Prometheus quickly Solutions All end-to-end solutions Opinionated solutions that help you get there easier and faster Kubernetes Monitoring Get K8s health, performance, and cost monitoring from cluster to container Application Observability Monitor application performance Frontend Observability Gain real user monitoring insights Incident Response & Management Detect and respond to incidents with a simplified workflow All monitoring and visualization solutions monitor infrastructure Out-of-the-box KPIs, dashboards, and alerts for observability Linux Windows Docker Postgres MySQL AWS Kafka Jenkins RabbitMQ MongoDB Microsoft Azure Google Cloud All monitoring solutions visualize any data Instantly connect all your data sources to Grafana MongoDB AppDynamics Oracle GitLab Jira Salesforce Splunk Datadog New Relic Snowflake All visualization solutions Learn All Learn Community and events Events Upcoming in-person and virtual events ObservabilityCON 2025 Our flagship observability event GrafanaCON 2026 Our annual OSS community conference ObservabilityCON on the Road Our observability conference on the road Community Join the Grafana community Community forums Ask the community for help Resources Blog News, releases, cool stories, and more 4th annual Observability Survey Share your thoughts on the state of observability Benefits of Observability New research, reports, and insights Success stories By use case, product, and industry How-to Documentation All the docs Webinars and videos Demos, webinars, and feature tours Tutorials Step-by-step guides Workshops Free, in-person or online Learning Journeys Expert guidance for mastering our platform Professional Services Expert guidance and training Docs Pricing Help build the future of open source observability software Open positions Check out the open source projects we support Downloads Sign in Grafana Cloud Monitor, analyze, and act faster with AI-powered observability. Grafana Cloud overview LGTM+ Stack Logs Grafana Traces Metrics Key Capabilities AI/ML insights Contextual root cause analysis SLO management Alerting Plugins Observability Solutions Application Observability Infrastructure observability Testing Performance testing Synthetic Monitoring IRM Incident response On-call management The actually useful free plan Grafana Cloud Free Tier 10k series Prometheus metrics 50GB logs, 50GB traces, 50GB profiles 500VUh k6 testing 20+ Enterprise data source plugins 100+ pre-built solutions 3 active AI users Create account Grafana Loki Multi-tenant log aggregation system Grafana Query, visualize, and alert on data Grafana Tempo High-scale distributed tracing backend Grafana Mimir Scalable and performant metrics backend Grafana Pyroscope Scalable continuous profiling backend Grafana Beyla eBPF auto-instrumentation Grafana Faro Frontend application observability web SDK Grafana Alloy OpenTelemetry Collector distribution with Prometheus pipelines Grafana k6 Load testing for engineering teams Prometheus Monitor Kubernetes and cloud native OpenTelemetry Instrument and collect telemetry data Graphite Scalable monitoring for time series data All Community resources Dashboard templates Try out and share prebuilt visualizations Prometheus exporters Get your metrics into Prometheus quickly end-to-end solutions Opinionated solutions that help you get there easier and faster Kubernetes Monitoring Get K8s health, performance, and cost monitoring from cluster to container Application Observability Monitor application performance Frontend Observability Gain real user monitoring insights Incident Response & Management Detect and respond to incidents with a simplified workflow monitor infrastructure Out-of-the-box KPIs, dashboards, and alerts for observability Linux Windows Docker Postgres MySQL AWS Kafka Jenkins RabbitMQ MongoDB Microsoft Azure Google Cloud visualize any data Instantly connect all your data sources to Grafana MongoDB AppDynamics Oracle GitLab Jira Salesforce Splunk Datadog New Relic Snowflake All monitoring and visualization solutions Community and events Events ObservabilityCON 2025 GrafanaCON 2026 ObservabilityCON on the Road Community Community forums Resources Blog 4th annual Observability Survey Benefits of Observability Success stories How-to Documentation Webinars and videos Tutorials Workshops Learning Journeys Professional Services Featured webinar Getting started with managing your metrics, logs, and traces using Grafana Learn how to unify, correlate, and visualize data with dashboards using Grafana. Learn more → Site search Ask Grot AI Try using Grot AI for this query -> All Docs = 5"> View all results No results. There was an error with your request. en ja h1]:tw-text-white [&>*]:tw-mx-auto tw-relative"> img]:tw-w-12 tw-max-w-[629px] tw-text-center tw-mb-0 tw-text-8 sm:tw-text-[42px] tw-font-[Outfit]">Ask Grot Our AI helper has the answers Grafana Cloud observability Cloud or OSS Create dashboards Loki logs Get started article]:tw-grow-0 tw-gap-7"> *]:tw-text-white tw-grid [&>*]:tw-font-[Outfit] [&>*]:tw-my-0 [&_h4]:tw-text-xl tw-mb-4"> Grafana Cloud A free tier that’s actually useful Create account 10k series Prometheus metrics Storage - 50GB logs, 50GB traces, 50GB profiles 500VUh synthetic testing 20+ Enterprise data source plugins From k8 to DB monitoring, 100+ pre-built solutions Incident Response Management & OnCall Create account *]:tw-text-white tw-grid [&>*]:tw-font-[Outfit] [&>*]:tw-my-0 [&_h4]:tw-text-xl tw-mb-4"> Observability Platforms Recognised as a leader in the Gartner Magic Quadrant Read more p]:tw-mb-2 last:[&>p]:tw-mb-0">Read the latest research and industry reports to discover the role of observability in driving growth and future proofing your business Read more Actually useful AI No panel? No data? This is what it sounds like when devs cry. Good thing Grafana Assistant, an LLM agent built directly into Grafana Cloud, can fix it for you. (Or let’s go crazy: make it purple.) Learn more Centralized observability managed for you for LE$$ Metrics, logs, traces, and profiles, oh my! Gazillions of pre-built solutions to try. So much to explore, with capabilities galore. OTel me more . Learn more Your first, last, or everything pane of glass. Visualize & monitor almost anything. From AWS to Zabbix and everything in between, can’t get enough of your graphs, babe. Data sources AI-powered observability as easy as chat Ask the Grafana Assistant, a context-aware LLM agent built directly into Grafana Cloud, to fix your dashboards or even make changes to your stack. Learn more Centralized observability managed for you Named a Leader in the Gartner® Magic Quadrant™ for Observability Platforms. Pick what you want, from K8s and application observability to incident response . Plus native support for Prometheus and OTel . Learn more Your single or first pane of glass Visualize and monitor almost anything. From AWS to Zabbix and 100s of other sources, bring them together in one place. Data sources Fun Serious The actually useful free plan Grafana Cloud Free Tier 10k series Prometheus metrics 50GB logs, 50GB traces, 50GB profiles 500VUh k6 testing 20+ Enterprise data source plugins 100+ pre-built solutions Create account Put the credit card away. Trusted by 25M+ users worldwide Success stories → Your tools / data Query / keep data where it is Your environment Applications and infrastructure Send data to backends Open standards: OTel, Prometheus Visualization Testing Performance testing Synthetic monitoring Observability solutions Frontend Application Infrastructure Incident response management On-call management Incident management Key capabilities AI insights Contextual root cause analysis Cost management SLO management Alerting Security and governance Building blocks: telemetry databases (LGTM+) Mimir Metrics Loki Logs Tempo Traces Pyroscope Profiles No lock-in Open standards: OTel, Prometheus Your tools / data Connect your tools and your teams with Grafana plugins. Data source plugins hook into existing data sources via APIs and render the data in real time without requiring you to migrate or ingest your data. Plugin directory Demo Docs Your environment Send your local data to Grafana’s backend for long-term storage, aggregation, and high-performance querying. Forward your metrics, logs, traces, and profiles using existing services deployed into your environment. Quick start guide Demo Docs Visualization Grafana allows you to query, visualize, alert on, and understand your metrics no matter where they are stored. Create, explore, and share beautiful dashboards with your team and foster a data-driven culture. Learn more Demo Docs Performance testing Easily run cloud-based performance tests to boost release confidence and velocity. Learn more Demo Docs Synthetic monitoring Proactively monitor the performance of your APIs and web applications from the user’s perspective, testing the availability, health, and quality of your services around the world. Learn more Demo Docs Contextualized Root Cause Analysis Add an intelligence layer to your telemetry data to better understand the behavior of your applications and services. Uncover root causes quickly as related issues are automatically correlated. Learn more Demo Docs Frontend Observability Gain clear, actionable insights into the end user experience of web applications with data on real-time frontend health and frontend errors. Learn more Demo Docs Application Observability Bring together application telemetry from the frontend and infrastructure layers with native support of both OpenTelemetry and Prometheus. Learn more Demo Docs Infrastructure observability Gain insights into workloads you haven’t been able to see before with pre-built infrastructure observability solutions. Learn more Demo Docs SLO management Easily create, manage, and scale service level objectives, SLO dashboards, and error budget alerts in Grafana Cloud. Learn more Demo Docs Alerting Create, manage, and take action on your alerts in a single, consolidated view, and improve your team’s ability to identify and resolve issues quickly. Learn more Demo Docs On-call management Reduce toil in on-call management through simpler workflows and interfaces that are tailored specifically for engineers. Learn more Demo Docs Incident management Respond to incidents faster by automating the toilsome tasks of incident management, which helps you focus on actually fixing the issue. Learn more Demo Docs AI insights AI tools in Grafana Cloud minimize toil and the need for everyone in your organization to have the same deep domain knowledge about your increasingly complex stack. Learn more Cost management Manage, control, and optimize your observability spend with a centralized suite of tools in Grafana Cloud. Learn more Demo Docs Security and governance Grafana's security and governance capabilities include robust user authentication and authorization, data source permissions, audit logging, and compliance with industry standards to ensure secure and controlled access to data visualizations and dashboards. Learn more Demo Docs Trust Center Configuration (as code) Manage dashboards, datasources, and configurations through declarative JSON or YAML files, enabling version control and automated deployments for consistent and reproducible monitoring environments. Learn more Demo Docs Loki Store and query logs from all your applications and infrastructure – without worrying about log volumes, costs, or storage limits. Learn more Demo Docs Grafana Query, visualize, alert on, and understand your metrics no matter where they are stored. Create, explore, and share beautiful dashboards with your team and foster a data-driven culture. Learn more Demo Docs Tempo Understand the flow of requests and data in your software systems and track down issues quickly with this highly scalable, cost-effective trace storage and query engine. Learn more Demo Docs Mimir Bring together the raw, unsampled metrics for all your applications and infrastructure, spread around the globe, in one place. Query high-cardinality data with blazing fast PromQL and Graphite queries. Learn more Demo Docs Pyroscope Optimize infrastructure spend, simplify debugging, and enhance application performance through continuous profiling. Learn more Demo Docs What can Grafana Cloud help you do? figure]:tw-m-0 tw-w-full"> Troubleshoot faster *]:tw-text-grey-3"> Contextual alerts integrated into Grafana Cloud’s workflows for application, Kubernetes, and infrastructure observability – and more – speed up root cause analysis. At BlackRock, this “ put our telemetry into action and ultimately resolved issues faster, ” Head of Observability Olin Gay said at ObservabilityCON. Watch demo Read the docs Learn more figure]:tw-m-0 tw-w-full"> Reduce telemetry costs *]:tw-text-grey-3"> Using machine learning under the hood, the Adaptive Telemetry features aggregate unused metrics and optimize log volumes. “ It not only saves us hundreds of thousands of dollars a year, but it’s also a forcing function for us to look closely at our metrics to find additional opportunities for time series reduction and cardinality improvements, ” said Mux Senior Engineering Manager Ron Lipke. Watch demo Adaptative Metrics Adaptative Logs figure]:tw-m-0 tw-w-full"> Manage your incident response, all in Grafana Cloud *]:tw-text-grey-3"> The IRM solution provides workflows to create alerts and SLOs, manage on-call and incident response, and learn from postmortems – all within the context of your observability stack. “ Getting on-call notifications and paging integrated closer to the dashboards and data that help developers diagnose and resolve issues will greatly improve on-call workflows, ” said The Trade Desk Staff Software Engineer Nathan Bellowe. Watch demo Read the docs Learn more Play around with the Grafana Stack Experience Grafana for yourself, no registration or installation needed. Grafana showcase Watch 0:14 A problem with video playback occurred. If it persists, please email <a href="mailto:update@grafana.com">update@grafana.com</a> for help. 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Right menu [Rust]Making struct for getting directory path nk_Enuke nk_Enuke nk_Enuke Follow Jul 21 '24 [Rust]Making struct for getting directory path # rust # tauri Comments Add Comment 1 min read Interview with Simon Hyll, a Tauri Maintainer CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 4 '24 Interview with Simon Hyll, a Tauri Maintainer # rust # tauri # opensource # maintainer 13 reactions Comments Add Comment 1 min read Interview with Vitor Ayres, a Tauri Maintainer CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jun 27 '24 Interview with Vitor Ayres, a Tauri Maintainer # rust # tauri # opensource # maintainer 11 reactions Comments Add Comment 1 min read I built an open-source multi-platforms Note-taking app using Reactjs and Tauri hudy9x hudy9x hudy9x Follow Jun 3 '24 I built an open-source multi-platforms Note-taking app using Reactjs and Tauri # react # tauri 6 reactions Comments Add Comment 4 min read Announcing DevTools Premium CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev May 30 '24 Announcing DevTools Premium # rust # tauri # devtools 9 reactions Comments Add Comment 2 min read Interview with Kareem Ebrahim, creator of TableX CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev May 9 '24 Interview with Kareem Ebrahim, creator of TableX # rust # tauri 9 reactions Comments Add Comment 1 min read My opinion on the Tauri framework Nicolas Fränkel Nicolas Fränkel Nicolas Fränkel Follow May 16 '24 My opinion on the Tauri framework # rust # tauri # gui # desktop 14 reactions Comments 1 comment 4 min read Recent Rust Security Advisory: CVE-2024-24576 CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Apr 10 '24 Recent Rust Security Advisory: CVE-2024-24576 # rust # security # tauri 7 reactions Comments Add Comment 2 min read Interview with Mateusz Migas, creator of Painting Droid CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev May 2 '24 Interview with Mateusz Migas, creator of Painting Droid # rust # tauri # interview 11 reactions Comments Add Comment 1 min read Learn Tauri by Doing - Part 2: First method and APIs call Giuliano1993 Giuliano1993 Giuliano1993 Follow May 8 '24 Learn Tauri by Doing - Part 2: First method and APIs call # rust # tauri # javascript # tutorial 7 reactions Comments Add Comment 6 min read Interview with Parth, Founder of Tmuxer, and More CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Apr 4 '24 Interview with Parth, Founder of Tmuxer, and More # rust # tauri # interview 9 reactions Comments Add Comment 1 min read Interview with Zack Xuereb, founder and CEO of Avail CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Apr 25 '24 Interview with Zack Xuereb, founder and CEO of Avail # rust # tauri # tauriapps # web3 11 reactions Comments Add Comment 1 min read Learn Tauri By Doing - Part 1: Introduction and structure Giuliano1993 Giuliano1993 Giuliano1993 Follow Apr 24 '24 Learn Tauri By Doing - Part 1: Introduction and structure # rust # tauri # tutorial # javascript 83 reactions Comments 2 comments 6 min read Why CrabNebula Cloud? 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Comparing the Tauri GitHub Action # tauri # rust # github # githubactions 1 reaction Comments Add Comment 6 min read Interview with Adithya, Creator of Clear CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Apr 11 '24 Interview with Adithya, Creator of Clear # rust # tauri # interview 11 reactions Comments 1 comment 1 min read Tauri CRUD Boilerplate Vyacheslav Chub Vyacheslav Chub Vyacheslav Chub Follow for Valor Labs Apr 10 '24 Tauri CRUD Boilerplate # tauri # rust # react # tutorial 13 reactions Comments 1 comment 11 min read How to Implement Git Clone Operation Progress Display and Cancellation in Rust with Tauri and git2 叶师傅 叶师傅 叶师傅 Follow Apr 7 '24 How to Implement Git Clone Operation Progress Display and Cancellation in Rust with Tauri and git2 # rust # git # tauri Comments Add Comment 6 min read Building W-9 Crafter Cassidy Williams Cassidy Williams Cassidy Williams Follow Mar 28 '24 Building W-9 Crafter # tauri # javascript # taxes 13 reactions Comments 2 comments 4 min read Why CrabNebula Cloud? 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Comparing the Tauri GitHub Action # tauri # rust # github # githubactions Comments Add Comment 6 min read Building a REST API for Math Operations (+, *, /) with Rust, Actix, and Rhai🦀 Eleftheria Batsou Eleftheria Batsou Eleftheria Batsou Follow Mar 22 '24 Building a REST API for Math Operations (+, *, /) with Rust, Actix, and Rhai🦀 # rust # tauri 4 reactions Comments Add Comment 5 min read Interview with Sebastian Holstein, Founder of Qaze CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Mar 21 '24 Interview with Sebastian Holstein, Founder of Qaze # rust # tauri 5 reactions Comments Add Comment 1 min read Announcing Limitless Free Trial for CrabNebula Cloud CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Mar 20 '24 Announcing Limitless Free Trial for CrabNebula Cloud # rust # tauri 6 reactions Comments Add Comment 2 min read Announcing our Capture the Flag Challenge: broken-navigator CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Feb 15 '24 Announcing our Capture the Flag Challenge: broken-navigator # tauri # security 5 reactions 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 — 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. 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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 itihon Posted on May 4, 2025 Handling asynchronous validators and mutually dependent fields using Isomorphic-validation library. # frontend # webdev # api # javascript In the previous video Quick introduction to isomorphic-validation javascript library I demonstrated how quickly a user-friendly form can be created with UI effects connected to fields' validity states. This is the second part in which I wanted to touch: working with asynchronous validators; conditional execution of validators; handling password and password confirmation fields. See the playground with the code from the video. In this video I showed how a typical sign-up logic can be implemented such as checking an e-mail for being already occupied before submitting a form to create a new account. Asynchronous validators are handled in the same way as synchronous, you only need to keep in mind that their execution takes time. We are simply playing with timings to create UI effects such as showing loaders/spinners while a request is being processed. It is recommended to execute asynchronous validators conditionally when they are mixed with synchronous. For that, this library provides a feature that implements a simple logic: following validators can not be "valid" without the preceding being "valid", therefore it is not necessary to execute them. For example, it doesn't make sense to make a request to the server to check if an e-mail already registered if it doesn't conform to the E-mail format. Also, you don't have to worry about an async validator retrieving an irrelevant result if the user keeps typing while the request is being processed. The library handles such edge cases for you. Handling fields with validity states depending on each other, such as password and password confirmation, is as easy as handling one field. Also, if you need to implement the logic of one field depending on another it is possible using an auxiliary Validation object. 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 itihon Follow I ❤️ JS Location Kazakhstan Joined Mar 30, 2025 More from itihon Using the same validation logic on the client and server side with Isomorphic-validation. # webdev # javascript # validation # api Quick introduction to isomorphic-validation javascript library. # javascript # validation # library # fsm Detecting size and position change of a DOM element as a result of scroll, resize or zoom with IntersectionObserver. # webdev # frontend # javascript # intersectionobserver 💎 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 | 2026-01-13T08:49:34 |
https://www.coderabbit.ai/cli#install-cli | CodeRabbit CLI | AI Code Reviews in CLI Features Enterprise Customers Pricing Blog Resources Docs Trust Center Contact Us FAQ Log In Get a free trial Vibe check your Code, now in CLI Line-by-line AI code reviews in VS Code, Cursor, and Windsurf. Catch defects before they hit your PR. curl -fsSL https://cli.coderabbit.ai/install.sh | sh Install with curl Supported in MacOS, Linux, and Windows (WSL) The leader in AI code reviews 2M Repositories 13M Pull Requests Most installed AI App Why teams prefer CodeRabbit Why teams prefer CodeRabbit Trusted by 10 , 000+ organizations Meet our customers Vibe code with confidence We do the heavy lifting & spot the hard to find issues. You do the final 10%. Review in flow Code, review, commit - all without leaving your terminal. CodeRabbit works where you work, within your existing command-line tooling and flow state. Ship with confidence. 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Where can I get help with CodeRabbit CLI? You can reach us out in our Discord community for free support. Paid users can directly contact our support by emailing - support@coderabbit.ai Need higher rate limits? Upgrade to Pro No credit card needed Your browser does not support the video. Upgrade Now Your browser does not support the video. Why teams prefer CodeRabbit CodeRabbit has proven invaluable in uncovering discrepancies between our documentation and test coverage. Highlighting inconsistencies like missing null checks or mismatched value ranges significantly improved the quality of our codebase and prevented numerous potential issues. David Deal Senior Director of Engineering, The Linux Foundation What sets CodeRabbit apart is its deep understanding of code structure through AST analysis. Having built developer tools myself and taking part of the NixOS community, I can appreciate the technical sophistication behind their approach. It's not just pattern matching - it's intelligent code comprehension that integrates seamlessly into our existing workflows. Ron Efroni NixOS Board Member & Founder, FloxDev CodeRabbit has revolutionized the way we handle GitHub pull requests. Leveraging the power of advanced language models, it autonomously identifies issues ranging from readability concerns to logic bugs and best practice deviations. This invaluable tool has dramatically reduced the time our reviewers spend on initial evaluations, allowing us to focus on deeper, more meaningful code discussions. A game-changer for efficient and effective code reviews! Benjamin Smith VP Technical Operations, Extole CodeRabbit provides instant and accurate feedback on pull requests often catching real issues. Auto-generated summaries and walkthroughs are very helpful for human code reviewers. Our team loves having contextual conversations with AI right within GitHub's comment threads, turning each pull request into a collaborative AI chat. It is the most innovative application of AI in coding since Copilot! Code reviews will never be the same, thanks to CodeRabbit! Tanveer Gill CTO and Co-Founder, FluxNinja What impresses me most about CodeRabbit isn't just the time it saves - it's how it elevates the entire code review discussion. As both a CEO and active coder, I see it bridging the gap between high-level engineering metrics and day-to-day code quality. It's quickly become our secret weapon for maintaining engineering excellence while moving fast. Naomi Chopra Co-founder and CEO, Hatica - Engineering Analytics Platform CodeRabbit is the dream PR reviewer I've been searching for forever! It's a total game-changer when it comes to summarizing what the PR is all about and helping me spot those nasty bugs before they wreak havoc in production. Seriously, it's been a real lifesaver! The suggestions have saved me countless hours. With it, I feel more confident in the quality of my code and can deliver better software. Baptiste Arnaud Founder, Typebot We've integrated CodeRabbit into our PandasAI repository, and the impact has been remarkable. Reviewing pull requests now takes half the time it used to. This tool not only benefits the PR reviewers by streamlining their work but also frequently assists the authors by identifying potential edge cases, ultimately saving a significant amount of time for everyone involved. Gabriele Venturi Building PandasAI CodeRabbit has proven invaluable in uncovering discrepancies between our documentation and test coverage. Highlighting inconsistencies like missing null checks or mismatched value ranges significantly improved the quality of our codebase and prevented numerous potential issues. David Deal Senior Director of Engineering, The Linux Foundation What sets CodeRabbit apart is its deep understanding of code structure through AST analysis. Having built developer tools myself and taking part of the NixOS community, I can appreciate the technical sophistication behind their approach. It's not just pattern matching - it's intelligent code comprehension that integrates seamlessly into our existing workflows. Ron Efroni NixOS Board Member & Founder, FloxDev CodeRabbit has revolutionized the way we handle GitHub pull requests. Leveraging the power of advanced language models, it autonomously identifies issues ranging from readability concerns to logic bugs and best practice deviations. This invaluable tool has dramatically reduced the time our reviewers spend on initial evaluations, allowing us to focus on deeper, more meaningful code discussions. A game-changer for efficient and effective code reviews! Benjamin Smith VP Technical Operations, Extole CodeRabbit provides instant and accurate feedback on pull requests often catching real issues. Auto-generated summaries and walkthroughs are very helpful for human code reviewers. Our team loves having contextual conversations with AI right within GitHub's comment threads, turning each pull request into a collaborative AI chat. It is the most innovative application of AI in coding since Copilot! Code reviews will never be the same, thanks to CodeRabbit! Tanveer Gill CTO and Co-Founder, FluxNinja What impresses me most about CodeRabbit isn't just the time it saves - it's how it elevates the entire code review discussion. As both a CEO and active coder, I see it bridging the gap between high-level engineering metrics and day-to-day code quality. It's quickly become our secret weapon for maintaining engineering excellence while moving fast. Naomi Chopra Co-founder and CEO, Hatica - Engineering Analytics Platform CodeRabbit is the dream PR reviewer I've been searching for forever! It's a total game-changer when it comes to summarizing what the PR is all about and helping me spot those nasty bugs before they wreak havoc in production. Seriously, it's been a real lifesaver! The suggestions have saved me countless hours. With it, I feel more confident in the quality of my code and can deliver better software. Baptiste Arnaud Founder, Typebot We've integrated CodeRabbit into our PandasAI repository, and the impact has been remarkable. Reviewing pull requests now takes half the time it used to. This tool not only benefits the PR reviewers by streamlining their work but also frequently assists the authors by identifying potential edge cases, ultimately saving a significant amount of time for everyone involved. 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https://future.forem.com/bamacharan/iphone-17-rumors-everything-we-know-about-apples-next-gen-flagship-375m#comments | iPhone 17 Rumors: Everything We Know About Apples Next-Gen Flagship - 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 Bama Charan Chhandogi Posted on Dec 13, 2025 iPhone 17 Rumors: Everything We Know About Apples Next-Gen Flagship # ai # arvr # wearables iPhone 17 Rumors: Everything We Know About Apples Next-Gen Flagship The annual cycle of Apple leaks and rumors is already in full swing, and the focus is rapidly shifting to the iPhone 17 lineup, expected to launch in September 2025. While still a year away, leaks from supply chain analysts and industry insiders suggest that the iPhone 17 will represent a significant design and feature overhaul, potentially being one of the most ambitious launches in years. Here is a breakdown of the most compelling rumors and predictions surrounding the iPhone 17 family. A Completely Revamped Lineup: Enter the iPhone 17 Air One of the most persistent and exciting rumors is a complete restructuring of the iPhone lineup. The current "Plus" model, which has struggled to find its footing, is rumored to be replaced by an all-new, ultra-premium model: the iPhone 17 Air [3]. This new model is expected to be the thinnest iPhone ever produced, positioning it as a sleek, high-end alternative to the Pro models. The full lineup is rumored to consist of four models: iPhone 17 (Base Model) iPhone 17 Air (Ultra-thin, premium design) iPhone 17 Pro (High-end features, 6.3-inch display) iPhone 17 Pro Max (Top-tier features, 6.9-inch display) The introduction of the Air model suggests Apple is looking to segment its market further, offering a design-focused option alongside the feature-packed Pro models. Design and Display Innovations Beyond the new model, the entire iPhone 17 series is expected to feature a significant design refresh. Pro Display Sizes: The Pro models are rumored to grow slightly, with the iPhone 17 Pro moving to a 6.3-inch display and the iPhone 17 Pro Max expanding to 6.9 inches [1]. This increase in size is likely to accommodate new camera technology and potentially larger batteries. Dynamic Island Evolution: The Dynamic Island, introduced with the iPhone 14 Pro, is expected to shrink further or even be replaced by a more discreet, pill-shaped cutout across all models, moving closer to a true all-screen experience. New Materials and Finishes: Rumors point to new finishes and enhanced materials, possibly including a more durable titanium alloy or a new glass technology to improve scratch resistance and overall feel [4]. Power and Photography: The A19 Chip and Camera Overhaul As always, the iPhone 17 will introduce a new generation of Apple Silicon. The A19 chip is expected to power the Pro models, bringing substantial gains in performance and energy efficiency, particularly for on-device AI processing [2]. The base models are likely to inherit the A18 chip from the previous generation. The camera system is also slated for a major overhaul: Feature iPhone 17 / Air iPhone 17 Pro / Pro Max Main Camera Upgraded 48MP sensor Upgraded 48MP sensor with new lens technology Front Camera 18MP Center Stage 18MP Center Stage Telephoto N/A Enhanced Periscope Zoom The most notable change is the rumored 18MP Center Stage front camera [3]. This feature, currently found on iPads, allows the camera to automatically pan and zoom to keep subjects in view during video calls, suggesting a major focus on video conferencing and content creation. Conclusion: A Flagship Worth Waiting For The iPhone 17, with its rumored ultra-thin Air model, larger Pro displays, A19 chip, and a significant camera upgrade, is shaping up to be a highly anticipated device. While these are still rumors, the consistency of the leaks suggests Apple is preparing a major refresh for its 2025 flagship. We can expect the official announcement to take place in September 2025 . Disclaimer: All information presented is based on unconfirmed rumors and leaks from various sources and should be treated as speculative until officially announced by Apple. Top comments (1) 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 Bama Charan Chhandogi Follow Software Developer @ Ikarus 3D | AWS Lambda, DynamoDB Joined Apr 10, 2024 💎 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/ai-tools-for-programmers#6-aider | AI for Programmers: Top Tools to Supercharge Your Development Workflow Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI for Programmers: Top Tools to Supercharge Your Development Workflow AI is reshaping how programmers work, making it easier to handle repetitive tasks, boost productivity, and improve efficiency. This blog will guide you through some of the best AI tools for programmers available today, tailored to help you code faster, debug smarter, and collaborate effectively. Whether you're a beginner or an experienced developer, these platforms can make a real difference in your workflow. Let's get started with Fine. Table of Contents Fine Cursor Replit AI Bolt.new Devin Aider bloop Callstack PR Reviewer OpenHands Zencoder 1. Fine (AI for programmers) Fine is a comprehensive AI-powered software development platform designed to make coding seamless and efficient. By integrating AI Agents , Fine enables programmers to automate repetitive tasks like generating boilerplate code, updating schemas, and managing APIs. Its AI Sandboxing feature allows users to build, run, and test AI-generated code directly in a secure browser-based environment. It's fully mobile friendly and offers powerful integrations with GitHub, Linear and Slack - allowing for full context awareness and maximum collaboration. Highlights: AI Palette for real-time assistance. Integration with GitHub and Linear for end-to-end project management. Specs-driven development ensures alignment with project goals. Fine is designed to empower developers, allowing them to focus on innovation while leaving routine tasks to AI. At just $13-15 per month, it's a deal for any startup looking to save time and ship more. 2. Cursor Cursor offers an AI-powered code editor built on Visual Studio Code (VS Code). It includes features like Cursor Tab for intelligent auto-completion and Chat Integration for codebase-aware interactions. Cursor’s functionality is limited beyond code generation and debugging, and it requires significant configuration for advanced team collaboration. 3. Replit AI Replit AI provides integrated AI capabilities for its cloud-based IDE. It offers code completion, bug fixes, and code generation. Replit AI is heavily tied to its ecosystem and is more suited to beginner-to-intermediate developers than advanced users. 4. Bolt.new (AI for web developers) Bolt.new is an AI agent for web development, allowing developers to build, run, and deploy full-stack applications directly in the browser. Currently in beta, Bolt.new offers limited stability and focuses solely on web development, making it less versatile for other programming needs. 5. Devin Devin by Cognition is an autonomous AI software engineer designed to execute complex engineering tasks. Still in early access, Devin is focused on specific use cases and is less reliable for general-purpose programming. 6. Aider Aider is an open-source AI pair programming tool that integrates with Git repositories for local coding assistance. It requires API keys and setup for AI model integration and is limited to terminal-based interaction, which may not suit all developers. Fine includes unlimited access to leading LLMs such as o1-preview and Claude 3-5 Sonnet, with no need for your own API keys. 7. bloop Bloop specializes in modernizing legacy codebases, particularly COBOL. It offers tools for translating legacy code into modern languages. Bloop is highly specialized for legacy code modernization and offers limited functionality for general-purpose programming. 8. Callstack PR Reviewer This tool automates code reviews, identifying bugs and enforcing coding standards in GitHub and GitLab. Callstack PR Reviewer focuses on pull request reviews and lacks features for standalone development tasks. 9. OpenHands OpenHands provides a zero-setup AI coding experience within a cloud-based Visual Studio Code environment. Dependence on cloud infrastructure may not suit developers working offline or in secure environments, and its focus is limited to AI coding assistance. 10. Zencoder Zencoder uses AI agents to enhance coding workflows, with a focus on syntactic and semantic code analysis. Zencoder primarily supports iterative improvements and lacks versatility for new project creation or diverse programming needs. Why Fine Stands Out as an AI tool for Programmers While each platform offers unique advantages, Fine delivers the most comprehensive AI solution for programmers of all skill levels. Its integration of AI Agents, Sandboxing, and seamless collaboration tools makes it a one-stop shop for development teams. Unlike other platforms, Fine doesn’t compromise on versatility, supporting everything from boilerplate code generation to full project management. Ready to transform your workflow? Sign up for Fine today and experience the best in AI for programmers . The source of information for each platform has been provided in a link. Information was collected on 20.11.24 and may be incorrect, incomplete or out-of-date. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/common-python-errors#conclusion | Most Common Python Errors When Using AI Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Most Common Python Errors When Using AI Introduction Python is a favorite among backend developers, particularly in the fast-paced world of startups where flexibility and speed are key. But let’s be honest—Python’s simplicity can sometimes be deceiving, and even the most seasoned developers can find ourselves pulling our hair out trying to understand why the code doesn’t work. In this article, we’ll dive into the top 10 Python errors that backend developers frequently encounter, especially in smaller startup teams. We’ll explain why these errors happen and provide tips on how to avoid them. We’ll also look at whether the common AI tools are likely to make the errors or can help you spot and fix them. Table of Contents Introduction Error 1: TypeErrors Error 2: NameErrors Error 3: IndexErrors Error 4: KeyErrors Error 5: ImportErrors A Recurring Theme in the Python Errors AI Makes How Fine Can Help You Avoid These Errors Conclusion Error 1: TypeErrors TypeErrors occur when you try to perform an operation on incompatible data types, like trying to add a string to an integer. It’s the programming equivalent of mixing oil and water—not going to happen. Python is dynamically typed, meaning variables don’t have fixed types, but this flexibility can sometimes lead to unexpected type mismatches. How to Avoid: Always check the data types you’re working with, and consider using type hints in your function definitions to ensure compatibility. AI models might try to perform operations on incompatible types or fail to include necessary type conversions. Fine will test to make sure there are no TypeErrors and fix any that occur. Fine’s PR review feature also identifies TypeErrors in GitHub PRs that human developers have written, ensuring that they don’t make it into production. Error 2: NameErrors (Shock horror, they’re back) No serious Python developer goes around making NameErrors anymore, right? Well, here’s the thing. ChatGPT and other AI coding tools make NameErrors all the time. They can’t help it. They don’t know what you’ve named things in your code, so they have to make a logical guess or use a placeholder - which will usually be wrong. Even the best models, such as o1 and Claude Sonnet 3.5, are helpless here. In fact, many people accuse AI of “hallucinating”, when really they’re referring to a simple NameError, where the AI isn’t to blame. Whilst simple to fix (in theory), this is quite a pain and every developer should have their eyes open for NameErrors (and indentation issues also - remember those?) when using AI coding tools that don’t have full context awareness. Fine is the AI coding tool to choose to avoid these errors. Because it indexes your repositories and issues, the AI can identify the correct names in your codebase and save you hours of debugging. Error 3: IndexErrors IndexErrors arise when you try to access an index that doesn’t exist in a list. Imagine trying to grab the fifth apple from a basket that only has four—you’re bound to run into trouble. This often happens due to off-by-one errors, where the index is either too high or too low. If you’re not familiar with how python’s range works or how slicing works, it’s a good idea to sharpen up on it to avoid index errors. How to Avoid: Double-check your list boundaries and validate your input data. Fine can highlight potential IndexErrors, helping you avoid those pesky off-by-one mistakes. This is particularly useful in scenarios where your code dynamically generates or manipulates lists, which can lead to unpredictable indexing issues. Error 4: KeyErrors KeyErrors happen when you try to access a dictionary key that isn’t present. It’s like asking for the keys to a car that you don’t own—not going to get far! How to Avoid: Use the .get() method or check for key existence before access. Fine can help by suggesting safe dictionary access patterns, reducing the risk of a KeyError. Error 5: ImportErrors ImportErrors happen when a module isn’t imported correctly, either because it’s missing, you’ve made a typo in the import path, or you’ve created a circular import. These errors are common when managing dependencies across different environments. Imagine - File A tries to import File B, which tries to import File A. How to Avoid: Ensure your modules are properly installed and avoid overly complex import chains. Fine’s AI can track your imports and warn you about potential issues, making it easier to manage your dependencies. A Recurring Theme in the Python Errors AI Makes NameErrors, ImportErrors, AttributeErrors, KeyErrors - AI will keep making these mistakes as long as it doesn’t have the full context of your codebase. It’s like if I were to ask you to write code for my platform, but without showing you my existing repo. How would you know what to refer to? How Fine Can Help You Avoid These Errors Fine is designed to be your coding companion, catching these common Python errors before they can trip you up. Using advanced AI algorithms, Fine provides real-time feedback, highlights potential issues, and offers tailored suggestions to keep your code clean and error-free. Whether you’re dealing with indentation issues, NameErrors, or TypeErrors, Fine acts as your second pair of eyes, ensuring that your development process remains smooth and efficient. With Fine integrated into your workflow, you can focus on what really matters—building great software. Conclusion Python errors can be a major headache, especially in a startup environment where every line of code counts. By understanding these common errors and how to avoid them, you can write cleaner, more reliable code. And with Fine by your side, you’ll catch and fix these errors effortlessly, keeping your projects on track and your sanity intact. Be careful of code generators that aren’t aware of your existing codebase, such as ChatGPT and GitHub Copilot—they’re more likely to make simple Python mistakes. Ready to take your Python development to the next level? Try Fine today with our free trial and see how our AI-powered coding assistant can help you write error-free code faster. Sign up now, or schedule a demo to discover how Fine can integrate seamlessly into your workflow and boost your team's productivity. Don’t let simple errors slow you down—let Fine handle the details so you can focus on building great software. 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/bolt-vs-v0-fr#pricing | Comparaison entre Bolt.new et v0 par Vercel : Quel outil de développement alimenté par l'IA convient le mieux à votre startup ? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparaison entre Bolt.new et v0 par Vercel : Quel outil de développement alimenté par l'IA convient le mieux à votre startup ? Chaque seconde compte. Choisissez la mauvaise plateforme de développement alimentée par l'IA, et vous risquez l'épuisement. Nous comparerons deux outils clés—Bolt.new et v0 par Vercel—puis nous présenterons Fine , l'alternative qui pourrait être exactement ce dont vous avez besoin. Table des Matières Introduction : Mettre la scène Aperçu de Bolt.new et v0 par Vercel Analyse Comparative Les Lacunes Cachées Entrez Fine : L'arme secrète des startups Appel à l'action : Essayez Fine aujourd'hui Conclusion Bibliographie Aperçu de Bolt.new et v0 par Vercel Bolt.new Qu'est-ce que c'est : Bolt.new est une plateforme de développement full-stack alimentée par l'IA qui fonctionne directement dans votre navigateur. Conçu pour simplifier le processus de développement, Bolt.new utilise l'intelligence artificielle pour faciliter la création rapide d'applications sans les contraintes traditionnelles. Caractéristiques clés : Génère et exécute des applications multi-pages : Créez des applications complexes et multi-pages sans effort. Utilise des invites en langage naturel : Interagissez avec la plateforme en utilisant des commandes simples en langage naturel, rendant le développement plus intuitif. Déploiement en un clic : Déployez vos applications en un seul clic, réduisant le temps entre le développement et la production. Forces : Bolt.new excelle dans le prototypage rapide et la mise à l'échelle facile. Son approche pilotée par l'IA permet aux développeurs, en particulier ceux qui débutent, de rapidement itérer sur des idées et de faire évoluer les applications à mesure que les demandes des utilisateurs augmentent, le tout dans une interface conviviale. v0 par Vercel Qu'est-ce que c'est : v0 par Vercel est un générateur d'interface utilisateur piloté par l'IA spécialement conçu pour React et Tailwind CSS. Il se concentre sur l'amélioration de l'expérience de développement front-end, facilitant la création d'interfaces utilisateur attrayantes et réactives. Caractéristiques clés : Génère des composants React à partir du langage naturel : Décrivez l'interface utilisateur souhaitée, et v0 générera les composants React correspondants. Intégration transparente avec Next.js et Tailwind : Conçu pour fonctionner parfaitement avec Next.js et Tailwind CSS, garantissant que vos projets maintiennent cohérence et évolutivité. SDK AI 3.0 pour le rendu d'interface utilisateur en temps réel : Utilisez le dernier SDK AI pour rendre les interfaces utilisateur en temps réel, facilitant les retours et ajustements immédiats. Forces : v0 est particulièrement bénéfique pour ceux qui déploient leur front-end via Vercel. Analyse Comparative Vitesse de Développement : Quel outil sort votre MVP plus rapidement ? Lorsque le temps est essentiel, la vitesse de développement est primordiale. Bolt.new brille avec ses capacités full-stack pilotées par l'IA, permettant un prototypage rapide et des transitions rapides du développement au déploiement. Sa fonctionnalité de déploiement en un clic garantit que votre produit minimum viable (MVP) peut atteindre le marché rapidement sans les retards habituels. D'un autre côté, v0 par Vercel est optimisé pour le développement front-end. Bien qu'il accélère la création d'interfaces utilisateur avec sa génération de composants pilotée par le langage naturel, il peut nécessiter des outils ou plateformes supplémentaires pour gérer les fonctionnalités back-end, allongeant potentiellement le délai de développement global pour un MVP full-stack. Gagnant : Bolt.new offre une solution plus complète pour sortir un MVP plus rapidement, surtout si votre projet exige des capacités front-end et back-end dès le départ. Intégration de la Pile Technologique : Flexibilité dans le choix des bibliothèques et des frameworks Bolt.new fournit un environnement unifié qui peut limiter la flexibilité dans le choix de bibliothèques et de frameworks spécifiques en dehors de son écosystème. Bien qu'il prenne en charge la génération et la mise à l'échelle d'applications multi-pages, l'intégration d'outils supplémentaires pourrait nécessiter des solutions de contournement ou ne pas être aussi transparente. v0 par Vercel excelle dans l'intégration de la pile technologique, en particulier pour les projets centrés sur React et Tailwind CSS. Son intégration transparente avec Next.js permet aux développeurs de tirer parti d'un framework robuste et populaire, garantissant la compatibilité avec une large gamme de bibliothèques et d'outils au sein de l'écosystème React. Gagnant : v0 par Vercel offre une plus grande flexibilité pour les projets qui reposent fortement sur des frameworks et bibliothèques front-end spécifiques, ce qui en fait un meilleur choix pour les piles technologiques centrées sur React et Tailwind. Facilité d'utilisation : À quel point sont-ils intuitifs pour les développeurs non experts ? Les deux plateformes privilégient des interfaces conviviales, mais leurs approches diffèrent. Bolt.new utilise des invites en langage naturel pour le développement, le rendant très accessible pour les développeurs non experts ou ceux qui débutent dans le développement full-stack. Son ensemble d'outils complet réduit la courbe d'apprentissage, permettant aux utilisateurs de se concentrer sur la construction plutôt que sur la configuration. v0 par Vercel utilise également des invites en langage naturel pour générer des composants d'interface utilisateur, ce qui simplifie le développement front-end. Cependant, son focus est plus spécialisé, ce qui pourrait nécessiter des utilisateurs d'avoir une compréhension de base de React et Tailwind pour tirer pleinement parti de ses capacités. Gagnant : Bolt.new se démarque légèrement comme l'option la plus intuitive pour les développeurs non experts cherchant une solution full-stack sans avoir besoin de connaissances techniques approfondies. Collaboration : Support pour les projets en équipe et les boucles de rétroaction Une collaboration efficace est essentielle pour les équipes de startups. Bolt.new offre des fonctionnalités collaboratives qui soutiennent les projets en équipe, permettant à plusieurs développeurs de travailler simultanément et d'intégrer les retours de manière transparente. Son environnement piloté par l'IA facilite la collaboration en temps réel, rendant plus facile la gestion des flux de travail d'équipe. v0 par Vercel prend également en charge la collaboration, en particulier dans le contexte du développement front-end. Son intégration avec les outils de conception et le rendu d'interface utilisateur en temps réel favorise un processus de conception et de développement collaboratif. Cependant, son focus sur le front-end pourrait nécessiter des outils de collaboration supplémentaires pour les projets back-end ou full-stack. Gagnant : Les deux plateformes offrent de solides fonctionnalités de collaboration, mais Bolt.new fournit une approche plus holistique pour les projets d'équipe full-stack, le rendant plus adapté à une collaboration d'équipe complète. Options de Déploiement : Déploiement en un clic de Bolt.new vs. Intégrations spécifiques à la plateforme de Vercel Bolt.new simplifie le déploiement avec sa fonctionnalité de déploiement en un clic, permettant aux développeurs de pousser leurs applications en production sans effort. Ce processus simplifié est idéal pour les startups nécessitant des déploiements rapides sans configuration étendue. v0 par Vercel, faisant partie de l'écosystème Vercel, offre des intégrations spécifiques à la plateforme qui fournissent un déploiement optimisé pour les applications front-end. Bien qu'il excelle dans le déploiement de projets React et Tailwind, le processus pourrait nécessiter plus d'étapes par rapport à l'approche de déploiement tout-en-un de Bolt.new. Gagnant : Bolt.new offre un processus de déploiement plus rapide et plus simple, ce qui est avantageux pour les startups cherchant à minimiser les complexités de déploiement. Coût et Accessibilité : Niveaux gratuits vs. plans payants et limitations Bolt.new et v0 par Vercel offrent tous deux des niveaux gratuits, permettant aux startups d'explorer leurs fonctionnalités sans engagement financier immédiat. Cependant, leurs plans payants varient en termes de fonctionnalités et d'évolutivité. Le niveau gratuit de Bolt.new inclut des fonctionnalités essentielles pour les petits projets, mais la mise à l'échelle pourrait nécessiter une mise à niveau vers des plans payants offrant des capacités améliorées comme des fonctionnalités avancées d'IA et des limites de déploiement plus élevées. v0 par Vercel s'intègre dans le modèle de tarification de Vercel, qui propose des plans évolutifs basés sur l'utilisation. Le niveau gratuit est généreux pour les projets front-end, mais une utilisation intensive ou le besoin d'intégrations avancées nécessitera de passer à un plan payant. Gagnant : Les deux plateformes offrent des structures de tarification compétitives, mais Bolt.new peut présenter une solution plus rentable pour les besoins full-stack, tandis que v0 par Vercel est idéal pour les startups fortement axées sur le développement front-end. Les Lacunes Cachées Bien que Bolt.new et v0 par Vercel offrent des fonctionnalités impressionnantes, ils ont leurs lacunes que les startups devraient considérer. Où Bolt.new est insuffisant : Intégrations limitées avec les gestionnaires de problèmes : Bolt.new manque d'intégrations étendues avec des gestionnaires de problèmes populaires comme GitHub ou Linear , qui sont essentiels pour gérer les flux de travail de développement et suivre les bugs. Où v0 par Vercel est insuffisant : Support limité pour le back-end et le full-stack : v0 est principalement axé sur la génération d'interface utilisateur front-end , offrant un support limité pour les solutions back-end et full-stack, ce qui peut entraver le développement d'applications complètes. Lacunes communes : Automatisation collaborative minimale : Les deux plateformes fournissent des fonctionnalités de collaboration de base mais manquent d' automatisation collaborative avancée au-delà du développement individuel, rendant difficile la gestion efficace de projets d'équipe plus grands et plus complexes. Entrez Fine : L'arme secrète des startups Bien que Bolt.new et v0 par Vercel aient chacun leurs forces, Fine émerge comme la solution ultime qui comble leurs lacunes et offre un environnement de développement plus complet adapté aux startups. Comment Fine comble les lacunes : Support complet des agents IA : Fine prend en charge le développement front-end et back-end, fournissant des agents IA qui gèrent l'ensemble de la pile. Cela élimine le besoin de jongler avec plusieurs outils et garantit un processus de développement cohérent. Aperçus en direct : Construisez, exécutez et testez vos applications directement dans le navigateur avec les aperçus en direct de Fine. Cette fonctionnalité permet aux développeurs de voir les changements en temps réel, facilitant les retours immédiats et les itérations plus rapides. Automatisation des flux de travail : Fine automatise les tâches répétitives, réduisant les temps de cycle de développement et permettant aux développeurs de se concentrer sur ce qui compte vraiment—créer des solutions innovantes. Les fonctionnalités d'automatisation rationalisent les flux de travail, améliorant la productivité et l'efficacité. Collaboration en équipe : Avec des espaces de travail partagés, Fine offre une gestion de projet rationalisée pour les équipes. Plusieurs développeurs peuvent travailler ensemble sans heurts, avec des boucles de rétroaction intégrées et des outils collaboratifs qui améliorent le travail d'équipe et la communication. Avantages spécifiques pour les startups : Lancements de MVP plus rapides avec moins de bugs : L'ensemble d'outils complet et les capacités pilotées par l'IA de Fine permettent aux startups de développer et de lancer leurs MVP rapidement tout en maintenant une haute qualité de code, réduisant la probabilité de bugs et d'erreurs. Cohérence et qualité du code améliorées : La plateforme impose des normes de codage cohérentes et des meilleures pratiques, garantissant que la base de code reste maintenable et évolutive à mesure que la startup grandit. Intégration avec GitHub et Linear pour un flux de travail de bout en bout : Fine s'intègre parfaitement avec des outils populaires comme GitHub et Linear, fournissant un flux de travail de bout en bout qui englobe le contrôle de version, le suivi des problèmes et la gestion de projet. Cette intégration garantit que tous les aspects du développement sont interconnectés et facilement gérables. Appel à l'action : Essayez Fine aujourd'hui Que vous soyez intrigué par l'environnement full-stack tout-en-un de Bolt.new ou la génération d'interface utilisateur élégante de v0 par Vercel, Fine offre le parfait mélange des deux mondes—et bien plus encore. En répondant aux limitations des deux plateformes et en fournissant un environnement de développement plus holistique, Fine se distingue comme le choix optimal pour les startups cherchant à gagner du temps, réduire la complexité et évoluer efficacement. Prêt à élever votre processus de développement ? Essayez Fine aujourd'hui avec notre essai gratuit ou profitez de notre processus d'inscription facile pour commencer à construire votre prochaine grande idée sans tracas. Conclusion Choisir le bon outil de développement est une décision critique pour les startups cherchant à construire des applications robustes et évolutives efficacement. Bolt.new offre une solution full-stack puissante avec des capacités de déploiement rapide, tandis que v0 par Vercel excelle dans la génération d'interface utilisateur front-end et l'intégration transparente avec React et Tailwind. Cependant, les deux plateformes ont leurs limitations, notamment dans des domaines comme les intégrations complètes et l'automatisation collaborative. Fine émerge comme la solution ultime pour les développeurs de startups, comblant les lacunes laissées par Bolt.new et v0 par Vercel. Avec son support complet des agents IA, ses aperçus en direct, son automatisation des flux de travail et ses fonctionnalités robustes de collaboration en équipe, Fine permet aux startups de lancer plus rapidement, de maintenir une haute qualité de code et d'évoluer sans heurts. L'histoire de réussite de votre startup commence avec les bons outils. Choisissez Fine et mettez votre processus de développement sur la voie de l'efficacité, de l'innovation et de la croissance . Table des Matières Complète Introduction : Mettre la scène Aperçu de Bolt.new et v0 par Vercel Bolt.new v0 par Vercel Analyse Comparative Vitesse de Développement : Quel outil sort votre MVP plus rapidement ? Intégration de la Pile Technologique : Flexibilité dans le choix des bibliothèques et des frameworks Facilité d'utilisation : À quel point sont-ils intuitifs pour les développeurs non experts ? Collaboration : Support pour les projets en équipe et les boucles de rétroaction Options de Déploiement : Déploiement en un clic de Bolt.new vs. Intégrations spécifiques à la plateforme de Vercel Coût et Accessibilité : Niveaux gratuits vs. plans payants et limitations Les Lacunes Cachées Où Bolt.new est insuffisant Où v0 par Vercel est insuffisant Lacunes communes Entrez Fine : L'arme secrète des startups Comment Fine comble les lacunes Avantages spécifiques pour les startups Appel à l'action : Essayez Fine aujourd'hui Conclusion Bibliographie Bibliographie 10Web. (n.d.). v0 par Vercel Review: Features, Pros, and Cons. Retrieved from https://10web.io/ai-tools/v0-by-vercel/ AI Product Reviews. (2024). Bolt.new: Features, Pricing, and Alternatives. Retrieved from https://ai-product-reviews.com/boltnew AI Review. (2023). v0 par Vercel: Price, Pros & Cons, Alternatives, App Reviews. Retrieved from https://ai-review.com/developer-tools/v0-by-vercel/ Aideloje, P. (2024). Vercel v0 and the future of AI-powered UI generation. Retrieved from https://blog.logrocket.com/vercel-v0-ai-powered-ui-generation/ Ånand, M. (2024). Should You Try v0, Webcrumbs or Both?. Retrieved from https://hackernoon.com/should-you-try-v0-webcrumbs-or-both Bolt. (2024). Documentation for Bolt.new. Retrieved from https://docs.bolt.new Bolt. (2024). GitHub Repository: Bolt.new. Retrieved from https://github.com/coleam00/bolt.new-any-llm Bolt. (2024). Introducing Bolt.new: AI-Powered Full-Stack Development in Your Browser. Retrieved from https://bolt.new Gelfenbuim, L. (2023). Vercel v0 First Impressions. Retrieved from https://lev.engineer/blog/vercel-v0-first-impressions Harris, L. (2024). Bolt.new vs. Vercel v0: Which AI Tool is Better for Web Development?. Retrieved from https://ai-tool-comparison.com/bolt-vs-v0 Johnson, R. (2024). How Bolt.new Simplifies Full-Stack Development for AI Enthusiasts. Retrieved from https://codejournal.io/boltnew-ai NoCodeDevs. (2024). Bolt.new Tutorial for Beginners (The Cursor AI and v0 Killer). Retrieved from https://www.nocodedevs.com/videos/bolt-new-tutorial Parkhomchuk, V. (2024). Vercel v0 AI Review: How To Use, Features And Alternatives. Retrieved from https://www.banani.co/blog/vercel-v0-ai-review Patel, D. (2024). Bolt.new Review: The Future of Full-Stack AI Development?. Retrieved from https://dev.to/patel/best-ai-tools/boltnew Rajab, A. (2024). What is Vercel's AI tool, V0.dev and how do you use it?. Retrieved from https://dev.to/opensauced/what-is-vercels-ai-tool-v0dev-and-how-do-you-use-it-3nge Rivera, J. (2024). Bolt.new Tutorial: Building a Full-Stack App Without Local Setup. Retrieved from https://tutorialcenter.com/boltnew StackShare. (n.d.). Bolt.new - Reviews, Pros & Cons | Companies using Bolt.new. Retrieved from https://stackshare.io/bolt-new StackShare. (n.d.). v0 par Vercel - Reviews, Pros & Cons | Companies using v0 par Vercel. Retrieved from https://stackshare.io/v0-vercel Vercel. (2024). AI SDK 3.0: Now Supporting Generative UI. Retrieved from https://vercel.com/blog/ai-sdk-3-generative-ui Vercel. (2024). Announcing v0: Generative UI by Vercel. Retrieved from https://vercel.com/blog/announcing-v0-generative-ui Vercel. (2024). v0 FAQ. Retrieved from https://v0.dev/faq Vercel. (2024). v0 Subscription Plans. Retrieved from https://v0.dev/subscription Wavel. (n.d.). v0 Review - Features, Pricing and Alternatives. Retrieved from https://wavel.io/ai-tools/v0-2/ YouTube. (2024). Bolt.new | Vercel v0 Killer? Retrieved from https://www.youtube.com/watch?v=R-frcOq6Kdc Zeniteq. (2024). Vercel's V0 Can Build Web Frontend In Seconds Using AI. Retrieved from https://www.zeniteq.com/blog/vercels-v0-can-build-web-frontend-in-seconds-using-ai 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 | 2026-01-13T08:49:34 |
https://www.fine.dev/blog/chatgpt-canvas#what-is-chatgpt-canvas | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! 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 | 2026-01-13T08:49:34 |
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https://www.fine.dev/blog/common-python-errors#a-recurring-theme-in-the-python-errors-ai-makes | Most Common Python Errors When Using AI Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Most Common Python Errors When Using AI Introduction Python is a favorite among backend developers, particularly in the fast-paced world of startups where flexibility and speed are key. But let’s be honest—Python’s simplicity can sometimes be deceiving, and even the most seasoned developers can find ourselves pulling our hair out trying to understand why the code doesn’t work. In this article, we’ll dive into the top 10 Python errors that backend developers frequently encounter, especially in smaller startup teams. We’ll explain why these errors happen and provide tips on how to avoid them. We’ll also look at whether the common AI tools are likely to make the errors or can help you spot and fix them. Table of Contents Introduction Error 1: TypeErrors Error 2: NameErrors Error 3: IndexErrors Error 4: KeyErrors Error 5: ImportErrors A Recurring Theme in the Python Errors AI Makes How Fine Can Help You Avoid These Errors Conclusion Error 1: TypeErrors TypeErrors occur when you try to perform an operation on incompatible data types, like trying to add a string to an integer. It’s the programming equivalent of mixing oil and water—not going to happen. Python is dynamically typed, meaning variables don’t have fixed types, but this flexibility can sometimes lead to unexpected type mismatches. How to Avoid: Always check the data types you’re working with, and consider using type hints in your function definitions to ensure compatibility. AI models might try to perform operations on incompatible types or fail to include necessary type conversions. Fine will test to make sure there are no TypeErrors and fix any that occur. Fine’s PR review feature also identifies TypeErrors in GitHub PRs that human developers have written, ensuring that they don’t make it into production. Error 2: NameErrors (Shock horror, they’re back) No serious Python developer goes around making NameErrors anymore, right? Well, here’s the thing. ChatGPT and other AI coding tools make NameErrors all the time. They can’t help it. They don’t know what you’ve named things in your code, so they have to make a logical guess or use a placeholder - which will usually be wrong. Even the best models, such as o1 and Claude Sonnet 3.5, are helpless here. In fact, many people accuse AI of “hallucinating”, when really they’re referring to a simple NameError, where the AI isn’t to blame. Whilst simple to fix (in theory), this is quite a pain and every developer should have their eyes open for NameErrors (and indentation issues also - remember those?) when using AI coding tools that don’t have full context awareness. Fine is the AI coding tool to choose to avoid these errors. Because it indexes your repositories and issues, the AI can identify the correct names in your codebase and save you hours of debugging. Error 3: IndexErrors IndexErrors arise when you try to access an index that doesn’t exist in a list. Imagine trying to grab the fifth apple from a basket that only has four—you’re bound to run into trouble. This often happens due to off-by-one errors, where the index is either too high or too low. If you’re not familiar with how python’s range works or how slicing works, it’s a good idea to sharpen up on it to avoid index errors. How to Avoid: Double-check your list boundaries and validate your input data. Fine can highlight potential IndexErrors, helping you avoid those pesky off-by-one mistakes. This is particularly useful in scenarios where your code dynamically generates or manipulates lists, which can lead to unpredictable indexing issues. Error 4: KeyErrors KeyErrors happen when you try to access a dictionary key that isn’t present. It’s like asking for the keys to a car that you don’t own—not going to get far! How to Avoid: Use the .get() method or check for key existence before access. Fine can help by suggesting safe dictionary access patterns, reducing the risk of a KeyError. Error 5: ImportErrors ImportErrors happen when a module isn’t imported correctly, either because it’s missing, you’ve made a typo in the import path, or you’ve created a circular import. These errors are common when managing dependencies across different environments. Imagine - File A tries to import File B, which tries to import File A. How to Avoid: Ensure your modules are properly installed and avoid overly complex import chains. Fine’s AI can track your imports and warn you about potential issues, making it easier to manage your dependencies. A Recurring Theme in the Python Errors AI Makes NameErrors, ImportErrors, AttributeErrors, KeyErrors - AI will keep making these mistakes as long as it doesn’t have the full context of your codebase. It’s like if I were to ask you to write code for my platform, but without showing you my existing repo. How would you know what to refer to? How Fine Can Help You Avoid These Errors Fine is designed to be your coding companion, catching these common Python errors before they can trip you up. Using advanced AI algorithms, Fine provides real-time feedback, highlights potential issues, and offers tailored suggestions to keep your code clean and error-free. Whether you’re dealing with indentation issues, NameErrors, or TypeErrors, Fine acts as your second pair of eyes, ensuring that your development process remains smooth and efficient. With Fine integrated into your workflow, you can focus on what really matters—building great software. Conclusion Python errors can be a major headache, especially in a startup environment where every line of code counts. By understanding these common errors and how to avoid them, you can write cleaner, more reliable code. And with Fine by your side, you’ll catch and fix these errors effortlessly, keeping your projects on track and your sanity intact. Be careful of code generators that aren’t aware of your existing codebase, such as ChatGPT and GitHub Copilot—they’re more likely to make simple Python mistakes. Ready to take your Python development to the next level? Try Fine today with our free trial and see how our AI-powered coding assistant can help you write error-free code faster. Sign up now, or schedule a demo to discover how Fine can integrate seamlessly into your workflow and boost your team's productivity. Don’t let simple errors slow you down—let Fine handle the details so you can focus on building great software. 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 | 2026-01-13T08:49:34 |
https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fdev.to%2F_402ccbd6e5cb02871506%2Fsuper-fast-markdown-linting-for-go-developers-meet-gomarklint-3ikd&title=Super%20Fast%20Markdown%20Linting%20for%20Go%20Developers%3A%20Meet%20gomarklint&summary=The%20%22Why%22%20%28The%20Motivation%29%20%20%20Documentation%20is%20the%20heart%20of%20any%20project%2C%20but%20keeping%20it...&source=DEV%20Community | LinkedIn Login, Sign in | LinkedIn Sign in Sign in with Apple Sign in with a passkey By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . or Email or phone Password Show Forgot password? Keep me logged in Sign in We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T08:49:34 |
https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fdev.to%2Fshuckle_xd%2Fyou-cant-trust-images-anymore-58jh&title=You%20can%27t%20trust%20Images%20anymore&summary=Image%20manipulation%20isn%27t%20something%20new%2C%20it%27s%20been%20happening%20from%20almost%20around%20the%20time%20when...&source=DEV%20Community | LinkedIn Login, Sign in | LinkedIn Sign in Sign in with Apple Sign in with a passkey By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . or Email or phone Password Show Forgot password? Keep me logged in Sign in We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T08:49:34 |
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Industries Ecommerce Ecommerce B2B Commerce B2B Commerce Fashion Fashion Grocery Grocery Media Media Marketplaces Marketplaces SaaS SaaS Higher Education Higher Education Documentation search Documentation search Enterprise search Enterprise search Headless commerce Headless commerce Image search Image search Mobile & App search Mobile & App search Retail Media Network Retail Media Network Site search Site search Visual search Visual search Voice search Voice search Digital Experience Digital Experience Ecommerce Ecommerce Engineering Engineering Merchandising Merchandising Product Management Product Management Tarifs Développeurs GET STARTED Developer Hub Developer Hub Documentation Documentation Intégrations Intégrations Composants UI Composants UI Auto-completion Auto-completion RESOURCES Code Exchange Code Exchange Engineering Blog Engineering Blog MCP MCP Discord Discord Webinars & Events Webinars & Events QUICK LINKS Démarrage rapide Démarrage rapide Pour Open Source Pour Open Source Statuts d'API Statuts d'API Support Support Resources INSPIRATION Algolia Blog Algolia Blog Resource Center Resource Center Témoignages clients Témoignages clients Webinars & Events Webinars & Events Newsroom Newsroom LEARN Customer Hub Customer Hub What's New What's New AI Search Grader AI Search Grader Documentation Documentation Évènements Évènements Professional Services Professional Services Quick Access Algolia Partners Support Login Logout Request demo Get started Search Algolia Close Request demo Get started Other Types Filter --> Clear All Filters Filters Looking for our logo? We got you covered! Brand guidelines Download logo pack Nos solutions Une recherche par IA qui montre aux utilisateurs ce dont ils ont besoin Améliorez le parcours de vos utilisateurs grâce à des solutions de recherche, de navigation et de recommandations. Demandez une démo Commencez gratuitement Make every interaction smarter with AI retrieval Every modern AI experience depends on one core capability: finding the right information at the right moment. That process is retrieval. Retrieval is how search engines, LLMs, and AI agents locate the data they need to answer questions, generate content, or take action. When retrieval is strong, these experiences behave intelligently; when it isn’t, they guess. Les trois caractéristiques uniques d’Algolia Facilité d’utilisation Implémentez un scénario de test en quelques minutes grâce à nos API. Donnez à vos équipes commerciales la visibilité et le contrôle nécessaires pour optimiser le classement, et des automatisations pour leur faire gagner du temps. Vitesse Vos recherches apparaissent à mesure que vous tapez, grâce à la recherche basée sur l’IA la plus rapide que nous connaissons. Des résultats plus rapides entraînent des revenus plus élevés. Échelle Faites confiance au plus grand moteur de recherche hébergé au monde, avec 1,7 billion de recherches par an. Algolia est également hautement conforme et stable (avec une disponibilité allant jusqu’à 99,999 %). Build retrieval-powered solutions today AI retrieval powers the next generation of agentic, generative, and search experiences that adapt to intent, not syntax. Search AI Construisez des expériences de recherche puissantes pour votre application ou site grâce à une IA qui comprend, classe et s’adapte en temps réel. Combinez résultats traditionnels, génératifs et agentiques pour offrir une expérience optimale et engageante. Recherche hybride : la recherche vectorielle sémantique rencontre la précision des mots-clés pour des résultats rapides et intuitifs, alignés avec l’intention utilisateur. En savoir plus Classement IA : combinez machine learning et contrôle humain pour améliorer en continu la pertinence des résultats. En savoir plus Catégorisation des requêtes : transformez des requêtes non structurées en données exploitables pour un merchandising et une analyse plus intelligents. En savoir plus Personnalisation avancée : proposez des expériences adaptées au comportement, aux préférences et au contexte de chaque utilisateur, dès la mise en place. En savoir plus En savoir plus sur la recherche par IA Agentic Studio Agent Studio est la manière la plus rapide de construire et de déployer des agents RAG. C’est un framework destiné aux développeurs qui simplifie la création d’agents IA augmentés par la recherche, prêts pour la production. Agents de marque : créez et testez des agents capables d’interagir avec vos visiteurs — ou développez des agents automatisés pour vos équipes internes. Opérations agentiques : améliorez les résultats de recherche grâce à des assistants intelligents qui configurent les opérations pour optimiser vos résultats business. Agentic search commerce : vendez vos produits via des sites tiers pilotés par des agents (ex. Perplexity, ChatGPT, etc.) grâce au serveur MCP d’Algolia. En savoir plus sur l'Agentic Studio La pertinence à grande échelle La plateforme IA d’Algolia fusionne recherche, langage et logique pour offrir une pertinence à grande échelle. Elle combine des algorithmes de recherche avancés, des grands modèles de langage (LLMs) et la génération augmentée par recherche (RAG) afin de fournir des expériences utilisateur hautement personnalisées, performantes et en temps réel. Expériences IA génératives : une boîte à outils pour développeurs permettant de créer des guides riches en contenu — alimentés par des LLMs et adaptés à votre audience. En savoir plus Guides : générez automatiquement des guides informatifs à partir de votre catalogue produit. Mise en place facile – sans création manuelle de contenu. En savoir plus Ask AI : ajoutez un assistant IA à vos documents, votre site web ou votre centre de support pour fournir des réponses précises et conversationnelles — directement depuis votre barre de recherche. En savoir plus Learn more about Generative Experiences Connectez vos agents IA avec Algolia MCP Le Model Context Protocol (MCP) d’Algolia fournit l’infrastructure nécessaire pour contrôler et orchestrer le commerce piloté par agents. Il est essentiel pour coordonner les différents systèmes nécessaires à une transaction agentique complète. Que vous construisiez des recommandations produits, des assistants de recherche ou des tableaux de bord analytiques, MCP permet d’en faire plus, plus vite, et à grande échelle. En savoir plus Outils pour les utilisateurs business Merchandising Studio Créez de meilleures expériences client basées sur les données, sans avoir à coder. Les équipes commerciales utilisent le Merchandising Studio d’Algolia pour contrôler et mener des campagnes à travers AI Search, AI Browse et AI Recommendations. En savoir plus Analytics Obtenez des informations sur les taux de clics, les performances par position et la saisonnalité. Suivez les termes de recherche qui génèrent votre chiffre d’affaires, corrigez les résultats nuls et améliorez les performances de vos catégories. Le tout sur un tableau de bord intuitif. En savoir plus Un coup de pouce pour les développeurs Composants d’interface utilisateur Lancez-vous rapidement grâce à nos bibliothèques de composants d’interface utilisateur pour les interfaces de n’importe quelle résolution et n’importe quel framework JS. Nous vous proposons des fonctions de recherche instantanée, d’autocomplétion, de tri et de pagination et bien d’autres encore. Découvrez nos composants d’interface utilisateur Intégrations Connectez-vous directement à votre stack technologique ou à votre framework. Démarrez rapidement grâce à des intégrations avec des plateformes d’e-commerce telles que Shopify et Salesforce Commerce Cloud. 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https://www.fine.dev/blog/chatgpt-canvas#pricing | Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Coding with ChatGPT Canvas: Elevate Your Workflow with Fine Table of Contents What Is ChatGPT Canvas? How Can Canvas Help You? Who Is Canvas Useful For? Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 ChatGPT Canvas vs. GitHub Copilot ChatGPT Canvas vs. Cursor The Ultimate Workflow: Combining Canvas with Fine Why Fine Is the Superior Choice How Fine Outperforms the Rest Fine: More Than Just a Tool Conclusion: Transform Your Coding Experience with Fine What Is ChatGPT Canvas? ChatGPT Canvas is an interactive, visual platform that transforms the way developers interact with AI. Unlike traditional text-based AI models, Canvas provides a visual workspace where you can collaboratively write, edit, and debug code alongside an AI assistant. It's like having a smart whiteboard where both you and the AI can jot down ideas, spot errors, and iterate code in real-time. How Can Canvas Help You? Visual Collaboration : Work alongside an AI in a shared visual space, making it easier to understand complex code structures. Efficient Debugging : Identify and fix issues faster with AI-guided insights directly on your code. Revision Tracking : Keep a clear history of changes, making it simpler to revert to previous versions if needed. Who Is Canvas Useful For? Individual Developers looking to enhance their coding efficiency. Development Teams aiming for a collaborative environment with AI assistance. Educators and Students who benefit from visual learning tools. Comparing Canvas to ChatGPT-3.5 and ChatGPT-4 While ChatGPT-3.5 and ChatGPT-4 are powerful language models capable of generating and understanding code, they operate primarily through text-based interactions. ChatGPT-3.5 : Great for generating code snippets and answering straightforward questions. ChatGPT-4 : Offers improved context understanding and can handle more complex queries. Limitations: Lack of a visual interface makes it harder to manage large codebases. Iterative revisions are cumbersome due to the linear text format. Canvas Advantage : Provides an interactive visual workspace. Enhances collaboration by allowing both AI and developers to interact with code visually. ChatGPT Canvas vs. GitHub Copilot GitHub Copilot is an AI pair programmer that integrates into your IDE, offering real-time code suggestions. Strengths: Seamless IDE integration. Excellent for autocompleting code and generating boilerplate code. Limitations: Lacks a collaborative visual interface. Limited in managing code revisions and providing in-depth debugging assistance. Known for hallucinations. Limited to generating code live as you type. Canvas Advantage : Offers a shared visual space for collaboration. Better suited for debugging and iterative development. ChatGPT Canvas vs. Cursor Cursor provides live coding assistance with features like real-time collaboration and multi-language support. Strengths: Supports multiple languages. Allows for real-time collaboration. Limitations: Less focused on revision tracking. Limited debugging capabilities compared to Canvas. Canvas Advantage : Superior in revision management. Offers structured debugging tools within a visual interface. The Ultimate Workflow: Combining Canvas with Fine While ChatGPT Canvas significantly enhances your coding experience, integrating it with Fine takes your workflow to an entirely new level. Why Fine Is the Superior Choice Holistic Development Platform : Fine isn't just an AI assistant; it's a comprehensive platform that streamlines coding, project management, and workflow automation. Advanced AI Capabilities : Fine leverages state-of-the-art AI to assist in code generation, optimization, and error detection. Seamless Integration : Works effortlessly with tools like GitHub, Linear, and leading LLMs. Enhanced Collaboration : Fine's collaborative features are designed for both individual developers and teams. How Fine Outperforms the Rest Cloud-based, asynchronous coding : Delegate a task and get a notification when it’s complete. Customization : Tailor AI assistance to fit your project's specific needs. Scalability : Whether you're a solo developer or part of a large team, Fine adapts to your workflow. Fine: More Than Just a Tool Fine doesn't just complement your existing tools—it amplifies them. By combining Fine with ChatGPT Canvas: Boost Productivity : Achieve more in less time with AI-assisted coding and debugging. Improve Code Quality : Leverage Fine's advanced AI to write cleaner, more efficient code. Streamline Collaboration : Keep everyone on the same page with shared workspaces and real-time updates. Conclusion: Transform Your Coding Experience with Fine While ChatGPT Canvas, GitHub Copilot, and Cursor each offer unique benefits, Fine stands out as the most comprehensive solution for modern developers. It brings together the best features of these tools and adds its own powerful capabilities to deliver an unmatched coding experience. Don't settle for just improving your workflow—revolutionize it. Ready to elevate your development process? Sign up for Fine today and unlock the full potential of AI-assisted coding! 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 | 2026-01-13T08:49:34 |
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https://dev.to/t/tauri/page/6 | Tauri Page 6 - 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. 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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 # tauri Follow Hide Create Post Older #tauri posts 1 2 3 4 5 6 7 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu The Final Mile CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 6 '23 The Final Mile # tauri # opensource # security 9 reactions Comments Add Comment 2 min read CrabNebula: A New Star Forge Emerges CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 5 '23 CrabNebula: A New Star Forge Emerges # tauri # opensource # security 5 reactions Comments Add Comment 4 min read Developing a Desktop Application via Rust and NextJS. The Tauri Way. Vyacheslav Chub Vyacheslav Chub Vyacheslav Chub Follow for Valor Labs May 8 '23 Developing a Desktop Application via Rust and NextJS. The Tauri Way. # rust # tauri # nextjs # development 61 reactions Comments 6 comments 10 min read Rust Tauri (inspired by Electron) 1.3: Getting started to build apps nabbisen nabbisen nabbisen Follow May 7 '23 Rust Tauri (inspired by Electron) 1.3: Getting started to build apps # rust # tauri # cargo # electron 8 reactions Comments Add Comment 5 min read Using Auth0 with Tauri David Rickard David Rickard David Rickard Follow May 6 '23 Using Auth0 with Tauri # tauri # authentication 12 reactions Comments 3 comments 3 min read I built a simple keystroke application for Windows hudy9x hudy9x hudy9x Follow Apr 30 '23 I built a simple keystroke application for Windows # tauri # react # rust # tailwindcss 7 reactions Comments Add Comment 6 min read Tauri + oauth2 Datner Datner Datner Follow Apr 19 '23 Tauri + oauth2 # tauri # webdev # tutorial # programming 23 reactions Comments 4 comments 6 min read Tauri + SQLite David Rickard David Rickard David Rickard Follow Apr 4 '23 Tauri + SQLite # tauri # sqlite 16 reactions Comments 3 comments 2 min read Tauri will be bigger than Flutter and Electron in 2 years chandra penugonda chandra penugonda chandra penugonda Follow Mar 23 '23 Tauri will be bigger than Flutter and Electron in 2 years # tauri # crossplatform # webdev # applicationdevelopment 4 reactions Comments Add Comment 1 min read Scheduling Windows Notifications from Rust David Rickard David Rickard David Rickard Follow Mar 19 '23 Scheduling Windows Notifications from Rust # tauri # rust # windows 4 reactions Comments 3 comments 2 min read Using error-stack with Tauri David Rickard David Rickard David Rickard Follow Mar 9 '23 Using error-stack with Tauri # tauri # rust 1 reaction Comments Add Comment 3 min read Salesforce Trekken: Salesforce CMS Migration Tool built with Tauri, React, TailwindCSS & Vite Luke Secomb Luke Secomb Luke Secomb Follow Jan 13 '23 Salesforce Trekken: Salesforce CMS Migration Tool built with Tauri, React, TailwindCSS & Vite # showdev # salesforce # tooling # tauri 3 reactions Comments Add Comment 2 min read Tauri + NodeJS: Alternative to Electron Marcin Marcin Marcin Follow Nov 14 '22 Tauri + NodeJS: Alternative to Electron # webdev # javascript # tauri # node 3 reactions Comments Add Comment 2 min read I cloned a simple VScode using Tauri and ReactJS hudy9x hudy9x hudy9x Follow Nov 4 '22 I cloned a simple VScode using Tauri and ReactJS # react # tauri # tailwindcss # rust 11 reactions Comments 7 comments 14 min read 8 Tips for Creating a Native Look and Feel in Tauri Applications UEDA Akira UEDA Akira UEDA Akira Follow Oct 7 '22 8 Tips for Creating a Native Look and Feel in Tauri Applications # tauri # rust # react # webview 21 reactions Comments Add Comment 4 min read Building a notebook using Tauri and ReactJS hudy9x hudy9x hudy9x Follow Sep 8 '22 Building a notebook using Tauri and ReactJS # react # tauri # typescript # desktopapp 10 reactions Comments 4 comments 5 min read 【03】Tauri 入门篇 - 创建项目 lencx lencx lencx Follow Aug 1 '22 【03】Tauri 入门篇 - 创建项目 # tauri # rust # web # desktop 5 reactions Comments Add Comment 1 min read 【07】Tauri 应用篇 - 基本配置 lencx lencx lencx Follow Aug 1 '22 【07】Tauri 应用篇 - 基本配置 # tauri # rust # web # desktop 3 reactions Comments Add Comment 2 min read 【06】Tauri 应用篇 - tauri.conf.json 配置 lencx lencx lencx Follow Aug 1 '22 【06】Tauri 应用篇 - tauri.conf.json 配置 # tauri # rust # web # desktop 5 reactions Comments Add Comment 2 min read 【02】Tauri 入门篇 - 开发环境 lencx lencx lencx Follow Aug 1 '22 【02】Tauri 入门篇 - 开发环境 # tauri # rust # web # desktop 5 reactions Comments Add Comment 1 min read 【04】Tauri 入门篇 - 集成 WebAssembly lencx lencx lencx Follow Aug 1 '22 【04】Tauri 入门篇 - 集成 WebAssembly # tauri # rust # web # desktop 4 reactions Comments Add Comment 2 min read 【05】Tauri 入门篇 - 跨平台编译 lencx lencx lencx Follow Aug 1 '22 【05】Tauri 入门篇 - 跨平台编译 # tauri # rust # web # desktop 3 reactions Comments Add Comment 2 min read The Art of Over Engineering ZacharyP ZacharyP ZacharyP Follow Jul 1 '22 The Art of Over Engineering # supabase # slatejs # tauri # programming 7 reactions Comments Add Comment 5 min read Making the popup show faster Amine Ben hammou Amine Ben hammou Amine Ben hammou Follow Jun 6 '22 Making the popup show faster # rust # react # productivity # tauri 11 reactions Comments Add Comment 6 min read TauriのDialogを試してみる Danny Gim Danny Gim Danny Gim Follow Apr 8 '22 TauriのDialogを試してみる # tauri # typescript 9 reactions 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 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. 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https://www.fine.dev/blog/safe-ai-coding#pricing | Why Fine Is the Safest Way to Use AI for Dev Work on Your Codebase Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Why Fine Is the Safest Way to Use AI for Dev Work on Your Codebase If you’ve heard cautionary tales—or perhaps even experienced them firsthand—about other AI coding tools creating more problems than they solve, you’re not alone. The idea of turning code over to an automated system can naturally raise red flags. However, the team behind Fine recognized that concern from the start and built a robust set of safety features to give you peace of mind. Here’s why Fine is the safest bet for integrating AI into your development workflow: 1. A Git Workflow That Puts You in Control Unlike other AI coding solutions that may silently push changes directly into your main branch, Fine operates on its own dedicated branch for each task. That means: Regular commits : As Fine works on your code, it commits changes often so you’ll always know exactly what it’s doing. Pull requests only : Fine never merges its changes automatically. Instead, it opens a Pull Request (PR) that you can review and approve (or reject) at your discretion. This Git-based safeguard ensures that you remain the ultimate gatekeeper of your codebase, helping you maintain clarity and control at all times. 2. “Think Before You Act” Implementation Plans Before Fine starts typing a single line of code, it takes the time to fully understand your request: Contextual awareness : Fine analyzes your existing codebase, looking for any relevant classes, functions, or files it needs to touch. Clear outline : It then presents you with an “Implementation Plan”—a roadmap detailing exactly how it intends to solve the task, including which files will be changed and what logic updates it proposes. By previewing the plan, you gain insight into Fine’s approach before any actual changes are made, minimizing the risk of surprises. 3. Familiar Line Change Summaries Every step in the Implementation Plan comes with a line-by-line summary of the modifications Fine intends to make: Concise diffs : The changes are displayed in a format you’re already used to from code reviews—lines marked with pluses and minuses. Easier reviews : At any moment, you can quickly compare the old and new versions of your files without sifting through an unfamiliar UI. This transparency speeds up reviews, letting you quickly spot improvements or potential issues. 4. Color-Coded, Highlighted Changes In Fine’s workspace, every single edit is highlighted in red or green—just like you’d expect in your typical PR. That color-coded clarity makes it simple to: Pinpoint modifications : Immediately identify which lines were altered, removed, or added. Confirm accuracy : Spot check complex changes to ensure they align with your coding standards and project requirements. It’s a small detail that makes a world of difference in ensuring you remain fully informed. 5. One-Click Rollback We all change our minds sometimes, or realize that a prior version of the code was actually more efficient. Fine bakes in easy rollback: Multiple checkpoints : Because Fine commits regularly, you can step back to an earlier commit if you decide the latest set of changes isn’t quite right. Rapid course-correction : This rollback function means there’s no penalty for experimentation—if Fine’s solution isn’t perfect on the first try, you can revert with a single click. Why Other AI Tools Can Be Risky While there are plenty of AI coding tools on the market, not all of them offer the same level of safety and control. Two common pitfalls include: IDE Tools Are Dependent on Your Commits Some AI-powered IDE integrations rely heavily on users committing any changes the AI makes. If they introduce a modification you don’t notice, it can get rolled into your next commit—potentially deleting files or introducing other unintended issues without your immediate awareness. Extensions Often Lack Codebase Awareness Many extensions operate in isolation from the broader context of your repository. Without full awareness of your entire codebase, they may suggest changes that inadvertently break functionality, create merge conflicts, or lead to additional bugs. These risks underscore why it’s crucial to use an AI tool that’s not only powerful but also designed with guardrails—like Fine. Conclusion When it comes to integrating AI into your development process, safety and control matter just as much as raw coding power. Fine’s built-in guardrails—from dedicated branches and pull requests to meticulous Implementation Plans and line-by-line diffs—ensure you remain in the driver’s seat. You’ll get the benefits of rapid, AI-accelerated development without the anxiety of unexpected code breaks or runaway commits. Ready to experience AI-assisted coding without the worry? With Fine, you can trust that your codebase is protected at every step. Dive into your next dev task confidently, knowing that Fine has your back—and your code’s integrity—covered. 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 | 2026-01-13T08:49:34 |
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