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https://www.fine.dev/blog/about-devcontainers#how-to-get-started-with-dev-containers | Everything you need to know about Dev Containers Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Everything you need to know about Dev Containers Table of Contents What Are Dev Containers? Key Components of Dev Containers Why Use Dev Containers? Consistency Across Environments Simplified Setup Isolation Portability Enhanced Productivity How to Get Started with Dev Containers 1. Install Necessary Tools 2. Create Configuration Files 3. Launch the Dev Container Best Practices for Using Dev Containers 1. Keep Configuration Files Under Version Control 2. Optimize Dockerfile for Performance 3. Define Clear Extension Requirements 4. Manage Secrets Securely Common Use Cases for Dev Containers 1. Multi-language Projects 2. Open Source Contributions 3. Continuous Integration/Continuous Deployment (CI/CD) 4. Experimentation and Prototyping Troubleshooting Common Issues with Dev Containers 1. Container Fails to Build 2. Extensions Not Installing 3. Port Forwarding Not Working 4. Performance Issues 5. Volume Mounting Problems 6. Dependency Conflicts 7. Container Not Starting 8. SSH/Authentication Problems Conclusion What Are Dev Containers? A dev container (short for development container ) is an isolated, reproducible environment tailored for software development. Leveraging containerization technologies like Docker, dev containers encapsulate all the necessary tools, libraries, dependencies, and configurations required for a project. This ensures that your development environment remains consistent, regardless of the underlying host system. Key Components of Dev Containers Container Image : A lightweight, standalone package that includes everything needed to run the application—code, runtime, system tools, libraries, and settings. Dockerfile : A script containing a series of instructions to build the container image. It specifies the base image and outlines steps to install dependencies and configure the environment. devcontainer.json : A configuration file used by development tools (like Visual Studio Code) to customize the container setup. It defines settings such as extensions, port mappings, and environment variables. Why Use Dev Containers? Adopting dev containers offers numerous advantages, especially for developers new to the concept: 1. Consistency Across Environments Dev containers ensure that every team member works in the same environment, eliminating the notorious "it works on my machine" problem. This consistency reduces bugs and streamlines collaboration. 2. Simplified Setup Onboarding new developers becomes a breeze. Instead of manually installing dependencies and configuring environments, newcomers can get started quickly by simply using the predefined dev container configuration. 3. Isolation Dev containers keep project dependencies isolated from the host system. This prevents conflicts between different projects and maintains a clean local environment. 4. Portability Containers are platform-agnostic. Whether you're on Windows, macOS, or Linux, dev containers behave the same way, making it easy to switch between different development setups or collaborate with others. 5. Enhanced Productivity Integration with popular IDEs, like Visual Studio Code, allows developers to work seamlessly inside containers. Features such as debugging, version control, and extensions work as if you were working on a local machine. How to Get Started with Dev Containers Setting up a dev container is straightforward, especially with tools like Visual Studio Code (VS Code) and Docker. Here's a step-by-step guide to help you get started: 1. Install Necessary Tools Docker : Install Docker from docker.com . Docker is essential for creating and managing containers. Visual Studio Code : Download and install VS Code from code.visualstudio.com . Dev Containers Extension : In VS Code, navigate to the Extensions marketplace and install the Dev Containers extension . 2. Create Configuration Files Within your project directory, create a .devcontainer folder. This folder will house the necessary configuration files: Dockerfile : Defines the base image and instructions to set up the container environment. # Use an official Node.js runtime as the base image FROM node:14 # Set the working directory inside the container WORKDIR /usr/src/app # Copy package.json and package-lock.json COPY package*.json ./ # Install project dependencies RUN npm install # Copy the rest of the application code COPY . . # Expose port 3000 EXPOSE 3000 # Define the command to run the application CMD ["npm", "start"] 3. Launch the Dev Container Open your project in VS Code. Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (macOS) to open the Command Palette. Type Remote-Containers: Open Folder in Container and select it. VS Code will build the container based on your configuration files. This process might take a few minutes, especially the first time. Once built, your project will open inside the container, ready for development. Best Practices for Using Dev Containers To maximize the benefits of dev containers, consider the following best practices: 1. Keep Configuration Files Under Version Control Include your .devcontainer folder in your version control system (e.g., Git). This ensures that all team members use the same environment setup. 2. Optimize Dockerfile for Performance Leverage Caching : Order your Dockerfile instructions to take advantage of Docker's layer caching. For instance, copy package.json and run npm install before copying the rest of the code. This minimizes rebuild times when only code changes. Use Lightweight Base Images : Choose base images that are lightweight to reduce build times and resource usage. 3. Define Clear Extension Requirements Specify only the necessary VS Code extensions in devcontainer.json . This keeps the container lean and ensures faster startup times. 4. Manage Secrets Securely Avoid hardcoding sensitive information in configuration files. Use environment variables or secret management tools to handle credentials securely. Common Use Cases for Dev Containers Dev containers are versatile and can be beneficial in various scenarios: 1. Multi-language Projects Projects that use multiple programming languages or frameworks can define a dev container that includes all necessary tools and dependencies, streamlining the development process. Dev containers are versatile and can be beneficial in various scenarios: 1. Multi-language Projects Projects that use multiple programming languages or frameworks can define a dev container that includes all necessary tools and dependencies, streamlining the development process. 2. Open Source Contributions Open source projects often attract contributors from diverse backgrounds. Providing a dev container setup allows contributors to get started quickly without worrying about environment configurations. 3. Continuous Integration/Continuous Deployment (CI/CD) Ensuring that the development environment matches the production environment reduces deployment issues. Dev containers can be integrated into CI/CD pipelines to maintain consistency. 4. Experimentation and Prototyping Developers can experiment with new technologies or configurations within isolated containers without affecting their primary development setup. Troubleshooting Common Issues with Dev Containers While dev containers simplify the development workflow, you might encounter some common issues during setup and usage. Below are typical problems developers face with dev containers and straightforward solutions to resolve them. 1. Container Fails to Build Issue: During the build process, the container fails to build, often due to errors in the Dockerfile or missing dependencies. Solution: Check the Dockerfile for syntax errors and ensure all necessary dependencies are correctly specified. Review the build logs to identify the exact step causing the failure and adjust the configurations accordingly. Updating Docker to the latest version can also resolve compatibility issues. 2. Extensions Not Installing Issue: VS Code extensions specified in devcontainer.json are not being installed inside the container. Solution: Verify that the extension identifiers in devcontainer.json are correct and compatible with the container's environment. Ensure that the postCreateCommand is properly configured to install extensions. Restarting VS Code and rebuilding the container can also help apply the changes. 3. Port Forwarding Not Working Issue: Ports exposed in the container are not accessible from the host machine, hindering the ability to test web applications or APIs. Solution: Ensure that the ports are correctly specified in the forwardPorts section of devcontainer.json . Check for any firewall or network settings on the host that might be blocking the ports. Additionally, confirm that the application inside the container is listening on the correct network interface (e.g., 0.0.0.0 ). 4. Performance Issues Issue: Developers experience slow performance or lag when working inside the dev container, affecting productivity. Solution: Optimize the Dockerfile by minimizing the number of layers and using lightweight base images to reduce build times. Allocate sufficient resources (CPU, memory) to Docker through its settings. Avoid unnecessary processes running inside the container to enhance responsiveness. 5. Volume Mounting Problems Issue: Source code or other volumes are not mounting correctly into the container, preventing access to the latest code changes. Solution: Check the mounts configuration in devcontainer.json to ensure paths are correctly specified. Verify that Docker has the necessary permissions to access the directories being mounted. Restarting the container can also help apply any recent changes to the mounting configurations. 6. Dependency Conflicts Issue: Conflicts arise between dependencies required by the project and those installed in the container, leading to build or runtime errors. Solution: Use a clean and specific base image that matches the project's requirements to minimize conflicts. Explicitly define dependency versions in configuration files like package.json or requirements.txt . Consider using virtual environments or dependency managers to isolate and manage dependencies effectively. 7. Container Not Starting Issue: The dev container fails to start, leaving the development environment inaccessible. Solution: Inspect the Docker daemon to ensure it is running correctly and that there are no issues with Docker itself. Review the devcontainer.json and Dockerfile for any misconfigurations or missing commands that could prevent the container from initializing. Rebuilding the container from scratch can often resolve startup issues. 8. SSH/Authentication Problems Issue: Authentication failures occur when trying to access services or repositories from within the dev container. Solution: Ensure that SSH keys and authentication tokens are correctly mounted or copied into the container. Verify that environment variables related to authentication are properly set in devcontainer.json . Using SSH agent forwarding can also help manage secure access without exposing sensitive credentials inside the container. Conclusion Dev containers represent a significant advancement in modern software development, offering consistency, portability, and efficiency. By encapsulating your development environment, you ensure that your projects are reproducible and free from environmental discrepancies. Whether you're working solo or as part of a team, integrating dev containers into your workflow can streamline development processes, reduce setup times, and enhance overall productivity. If you haven't explored dev containers yet, now is the perfect time to dive in. With tools like Docker and Visual Studio Code making setup seamless, embracing dev containers can elevate your development experience to new heights. Start experimenting today and discover the myriad benefits that dev containers have to offer. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. 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https://www.postgresql.org/ | PostgreSQL: The world's most advanced open source database Home About Download Documentation Community Developers Support Donate Your account November 13, 2025: PostgreSQL 18.1, 17.7, 16.11, 15.15, 14.20, and 13.23 Released! PostgreSQL: The World's Most Advanced Open Source Relational Database Download New to PostgreSQL? New to PostgreSQL? PostgreSQL is a powerful, open source object-relational database system with over 35 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance. There is a wealth of information to be found describing how to install and use PostgreSQL through the official documentation . The open source community provides many helpful places to become familiar with PostgreSQL, discover how it works, and find career opportunities. Learn more on how to engage with the community . Learn More Feature Matrix Governance Latest Releases 2025-11-13 - PostgreSQL 18.1, 17.7, 16.11, 15.15, 14.20, and 13.23 Released! The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 18.1, 17.7, 16.11, 15.15, 14.20, and 13.23. This release fixes 2 security vulnerabilities and over 50 bugs reported over the last several months. You can find details on the fixes in the release notes . This is the final release of PostgreSQL 13 . PostgreSQL 13 is now end-of-life and will no longer receive security and bug fixes. If you are running PostgreSQL 13 in a production environment, we suggest that you make plans to upgrade to a newer, supported version of PostgreSQL. Please see our versioning policy for more information. For the more information about this release, please review the release notes . You can download PostgreSQL from the download page. For more information on PostgreSQL 18, the latest major version of PostgreSQL, please see the full press release and translations of the release announcement in the press kit . 18.1 · 2025-11-13 · Notes 17.7 · 2025-11-13 · Notes 16.11 · 2025-11-13 · Notes 15.15 · 2025-11-13 · Notes 14.20 · 2025-11-13 · Notes Download Why Upgrade? Security Upcoming Events 2026-01-27 – 2026-01-28 · Prague PostgreSQL Developer Day 2026 / January 27-28 2026-01-30 · FOSDEM PGDay 2026 2026-02-06 · CERN PGDay 2026 2026-02-07 · PGDay Mumbai 2026-03-05 – 2026-03-06 · PostgreSQL@SCaLE23x 2026-03-10 · FOSSASIA PGDay 2026 2026-03-11 – 2026-03-13 · PGConf India 2026 indicates that an event is recognised under the community event guidelines and is directly helping the PostgreSQL community. 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Browse Events Browse User Groups Latest News PostgreSQL 18.1, 17.7, 16.11, 15.15, 14.20, and 13.23 Released! 2025-11-13 0 --> The PostgreSQL Global Development Group today announced the release of PostgreSQL 18 , the latest version of the world's most advanced open source database. The PostgreSQL Global Development Group has released an update to all supported versions of PostgreSQL, including 18.1, 17.7, 16.11, 15.15, 14.20, and 13.23. This release fixes 2 security vulnerabilities and over 50 bugs reported over the last several months. You can find details on the fixes in the release notes . This is the final release of PostgreSQL 13 . PostgreSQL 13 is now end-of-life and will no longer receive security and bug fixes. If you are running PostgreSQL 13 in a production environment, we suggest that you make plans to upgrade to a newer, supported version of PostgreSQL. Please see our versioning policy for more information. Release Announcement Release Notes PostgreSQL 18 Press Kit Versioning Policy Download Browse Archives Submit News Introducing pgpm: A Package Manager for Modular PostgreSQL 2026-01-07 by Constructive Welcoming three new members to the PostgreSQL Community Code of Conduct Committee 2026-01-05 by PostgreSQL Code of Conduct Committee PGConf India 2026: Talks, trainings published and early bird registration closes soon 2026-01-05 by PGConf India pgBadger v13.2 released 2025-12-30 by HexaCluster pgSCV 0.15.1 released! 2025-12-30 by pgSCV PLANET POSTGRESQL The hidden cost of PostgreSQL arrays Radim Marek 2026-01-12 pg_statviz 0.9 released with new features Jimmy Angelakos 2026-01-12 Optimizing data throughput for Postgres snapshots with batch size auto-tuning Esther Minano 2026-01-12 Updating CloudNativePG's documentation Floor Drees 2026-01-12 PgPedia Week, 2025-12-21 Ian Barwick 2026-01-09 How to Turn PostgreSQL Unconventional Recovery into an Elegant Art Zhang Chen 2026-01-09 Not a Backup Replacement: What PostgreSQL Instant Recovery Actually Solves Zhang Chen 2026-01-09 PgPedia Week, 2025-12-14 Ian Barwick 2026-01-07 Quick and dirty loading of CSV files Hubert 'depesz' Lubaczewski 2026-01-07 Browse Archives Seeing unexpected behavior? 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We got you covered! Brand guidelines Download logo pack LÖSUNGSÜBERSICHT KI-Suche, die Ihren Nutzern genau das zeigt, was sie brauchen Optimieren Sie die User Journey mit Lösungen für Suche, Navigation und Empfehlungen. Demo anfordern Kostenlos starten 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. Drei einzigartige Stärken von Algolia Benutzerfreundlichkeit Implementieren Sie in wenigen Minuten einen Testfall über unsere APIs. Geben Sie Ihren Business-Teams die nötige Transparenz und Kontrolle, um Rankings zu optimieren – unterstützt durch Automatisierungen, die Zeit sparen. 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Mehr erfahren Analytics Erhalten Sie Einblicke in Klickverhalten, Performance nach Position und Saisonalität. Verfolgen Sie die Suchbegriffe, die Umsatz bringen, beheben Sie Nulltreffer und verbessern Sie die Kategorieleistung – alles über ein intuitives Dashboard. Mehr erfahren Unterstützung für Entwickler UI Components Starten Sie schnell mit unseren UI Component Libraries für Interfaces in jeder Auflösung und jedem JS-Framework. Von Instant Search über Autocomplete bis zu Sortierung und Pagination – wir haben alles, was Sie brauchen. Unsere UI Components entdecken Integrationen Integrieren Sie Algolia direkt in Ihren Tech-Stack oder Ihr Framework. Starten Sie sofort mit Anbindungen an alle führenden E-Commerce-Plattformen und steigern Sie Ihre Umsätze, indem Ihre Kunden in Sekunden die richtigen Produkte finden. 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https://dri.es/source-available-is-not-open-source-and-that-is-okay | 'Source available' is not open source (and that's okay) | Dries Buytaert Dries Buytaert Blog Projects Photos About 'Source available' is not open source (and that's okay) This week, Ruby on Rails creator David Heinemeier Hansson and WordPress founding developer Matt Mullenweg started fighting about what "open source" means. I've spent twenty years working on open source sustainability, and I have some thoughts. David Heinemeier Hansson (also known as DHH) released a new kanban tool, Fizzy, this week and called it open source . People quickly pointed out that the O'Saasy license that Fizzy is released under blocks others from offering a competing SaaS version, which violates the Open Source Initiative's definition . When challenged, he brushed it off on X and said, "You know this is just some shit people made up, right?". He followed with "Open source is when the source is open. Simple as that". This morning, Matt Mullenweg rightly pushed back . He argued that you can't ignore the Open Source Initiative definition. He compared it to North Korea calling itself a democracy. A clumsy analogy, but the point stands. Look, the term "open source" has a specific, shared meaning. It is not a loose idea and not something you can repurpose for marketing. Thousands of people shaped that definition over decades. Ignoring that work means benefiting from the community while setting aside its rules. This whole debate becomes spicier knowing that DHH was on Lex Fridman's podcast only a few months ago, appealing to the spirit and ethics of open source to criticize Matt's handling of the WP Engine dispute . If the definition is just "shit people made up", what spirit was Matt violating? The definition debate matters, but the bigger issue here is sustainability. DHH's choice of license reacts to a real pressure in open source: many companies make real money from open source software while leaving the hard work of building and maintaining it to others. This tension also played a role in Matt's fight with WP Engine , so he and DHH share some common ground, even if they handle it differently. We see the same thing in Drupal, where contributions from the biggest companies in our ecosystem is extremely uneven. DHH can experiment because Fizzy is new. He can choose a different license and see how it works. Matt can't as WordPress has been licensed under the GPL for more than twenty years. Changing that now is virtually impossible. Both conversations are important, but watching two of the most influential people in open source argue about definitions while we all wrestle with free riders feels a bit like firefighters arguing about hose lengths during a fire. The definition debate matters because open source only works when we agree on what the term means. But sustainability decides whether projects like Drupal, WordPress, and Ruby on Rails keep thriving for decades to come. That is the conversation we need to have. In Drupal, we are experimenting with contribution credits and with guiding work toward companies that support the project. These ideas have helped, but also have not solved the imbalance. Six years ago I wrote in my Makers and Takers blog post that I would love to see new licenses that "encourage software free riding", but "discourage customer free riding". O'Saasy is exactly that kind of experiment. A more accurate framing would be that Fizzy is source available . You can read it, run it, and modify it. But DHH's company is keeping the SaaS rights because they want to be able to build a sustainable business. That is defensible and generous, but it is not open source. I still do not have the full answer to the open source sustainability problem. I have been wrestling with it for more than twenty years. But I do know that reframing the term "open source" is not the solution. Some questions are worth asking, and answering: How do we distinguish between companies that can't contribute and those that won't? What actually changes corporate behavior: shame, self-interest, punitive action, exclusive benefits, or regulation? If this latest debate brings more attention to these questions, some good may come from it. — Dries Buytaert Join 5,000+ readers. Two decades building Drupal and Acquia. Thoughts on Open Source, technology, and business. Subscribe Subscribe via RSS · Email me Calendar icon December 9, 2025 Clock icon 2 min read time Tag icon Open Source WordPress Drupal db | 2026-01-13T08:49:35 |
https://www.fine.dev/blog/about-devcontainers#3-isolation | Everything you need to know about Dev Containers Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Everything you need to know about Dev Containers Table of Contents What Are Dev Containers? Key Components of Dev Containers Why Use Dev Containers? Consistency Across Environments Simplified Setup Isolation Portability Enhanced Productivity How to Get Started with Dev Containers 1. Install Necessary Tools 2. Create Configuration Files 3. Launch the Dev Container Best Practices for Using Dev Containers 1. Keep Configuration Files Under Version Control 2. Optimize Dockerfile for Performance 3. Define Clear Extension Requirements 4. Manage Secrets Securely Common Use Cases for Dev Containers 1. Multi-language Projects 2. Open Source Contributions 3. Continuous Integration/Continuous Deployment (CI/CD) 4. Experimentation and Prototyping Troubleshooting Common Issues with Dev Containers 1. Container Fails to Build 2. Extensions Not Installing 3. Port Forwarding Not Working 4. Performance Issues 5. Volume Mounting Problems 6. Dependency Conflicts 7. Container Not Starting 8. SSH/Authentication Problems Conclusion What Are Dev Containers? A dev container (short for development container ) is an isolated, reproducible environment tailored for software development. Leveraging containerization technologies like Docker, dev containers encapsulate all the necessary tools, libraries, dependencies, and configurations required for a project. This ensures that your development environment remains consistent, regardless of the underlying host system. Key Components of Dev Containers Container Image : A lightweight, standalone package that includes everything needed to run the application—code, runtime, system tools, libraries, and settings. Dockerfile : A script containing a series of instructions to build the container image. It specifies the base image and outlines steps to install dependencies and configure the environment. devcontainer.json : A configuration file used by development tools (like Visual Studio Code) to customize the container setup. It defines settings such as extensions, port mappings, and environment variables. Why Use Dev Containers? Adopting dev containers offers numerous advantages, especially for developers new to the concept: 1. Consistency Across Environments Dev containers ensure that every team member works in the same environment, eliminating the notorious "it works on my machine" problem. This consistency reduces bugs and streamlines collaboration. 2. Simplified Setup Onboarding new developers becomes a breeze. Instead of manually installing dependencies and configuring environments, newcomers can get started quickly by simply using the predefined dev container configuration. 3. Isolation Dev containers keep project dependencies isolated from the host system. This prevents conflicts between different projects and maintains a clean local environment. 4. Portability Containers are platform-agnostic. Whether you're on Windows, macOS, or Linux, dev containers behave the same way, making it easy to switch between different development setups or collaborate with others. 5. Enhanced Productivity Integration with popular IDEs, like Visual Studio Code, allows developers to work seamlessly inside containers. Features such as debugging, version control, and extensions work as if you were working on a local machine. How to Get Started with Dev Containers Setting up a dev container is straightforward, especially with tools like Visual Studio Code (VS Code) and Docker. Here's a step-by-step guide to help you get started: 1. Install Necessary Tools Docker : Install Docker from docker.com . Docker is essential for creating and managing containers. Visual Studio Code : Download and install VS Code from code.visualstudio.com . Dev Containers Extension : In VS Code, navigate to the Extensions marketplace and install the Dev Containers extension . 2. Create Configuration Files Within your project directory, create a .devcontainer folder. This folder will house the necessary configuration files: Dockerfile : Defines the base image and instructions to set up the container environment. # Use an official Node.js runtime as the base image FROM node:14 # Set the working directory inside the container WORKDIR /usr/src/app # Copy package.json and package-lock.json COPY package*.json ./ # Install project dependencies RUN npm install # Copy the rest of the application code COPY . . # Expose port 3000 EXPOSE 3000 # Define the command to run the application CMD ["npm", "start"] 3. Launch the Dev Container Open your project in VS Code. Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (macOS) to open the Command Palette. Type Remote-Containers: Open Folder in Container and select it. VS Code will build the container based on your configuration files. This process might take a few minutes, especially the first time. Once built, your project will open inside the container, ready for development. Best Practices for Using Dev Containers To maximize the benefits of dev containers, consider the following best practices: 1. Keep Configuration Files Under Version Control Include your .devcontainer folder in your version control system (e.g., Git). This ensures that all team members use the same environment setup. 2. Optimize Dockerfile for Performance Leverage Caching : Order your Dockerfile instructions to take advantage of Docker's layer caching. For instance, copy package.json and run npm install before copying the rest of the code. This minimizes rebuild times when only code changes. Use Lightweight Base Images : Choose base images that are lightweight to reduce build times and resource usage. 3. Define Clear Extension Requirements Specify only the necessary VS Code extensions in devcontainer.json . This keeps the container lean and ensures faster startup times. 4. Manage Secrets Securely Avoid hardcoding sensitive information in configuration files. Use environment variables or secret management tools to handle credentials securely. Common Use Cases for Dev Containers Dev containers are versatile and can be beneficial in various scenarios: 1. Multi-language Projects Projects that use multiple programming languages or frameworks can define a dev container that includes all necessary tools and dependencies, streamlining the development process. Dev containers are versatile and can be beneficial in various scenarios: 1. Multi-language Projects Projects that use multiple programming languages or frameworks can define a dev container that includes all necessary tools and dependencies, streamlining the development process. 2. Open Source Contributions Open source projects often attract contributors from diverse backgrounds. Providing a dev container setup allows contributors to get started quickly without worrying about environment configurations. 3. Continuous Integration/Continuous Deployment (CI/CD) Ensuring that the development environment matches the production environment reduces deployment issues. Dev containers can be integrated into CI/CD pipelines to maintain consistency. 4. Experimentation and Prototyping Developers can experiment with new technologies or configurations within isolated containers without affecting their primary development setup. Troubleshooting Common Issues with Dev Containers While dev containers simplify the development workflow, you might encounter some common issues during setup and usage. Below are typical problems developers face with dev containers and straightforward solutions to resolve them. 1. Container Fails to Build Issue: During the build process, the container fails to build, often due to errors in the Dockerfile or missing dependencies. Solution: Check the Dockerfile for syntax errors and ensure all necessary dependencies are correctly specified. Review the build logs to identify the exact step causing the failure and adjust the configurations accordingly. Updating Docker to the latest version can also resolve compatibility issues. 2. Extensions Not Installing Issue: VS Code extensions specified in devcontainer.json are not being installed inside the container. Solution: Verify that the extension identifiers in devcontainer.json are correct and compatible with the container's environment. Ensure that the postCreateCommand is properly configured to install extensions. Restarting VS Code and rebuilding the container can also help apply the changes. 3. Port Forwarding Not Working Issue: Ports exposed in the container are not accessible from the host machine, hindering the ability to test web applications or APIs. Solution: Ensure that the ports are correctly specified in the forwardPorts section of devcontainer.json . Check for any firewall or network settings on the host that might be blocking the ports. Additionally, confirm that the application inside the container is listening on the correct network interface (e.g., 0.0.0.0 ). 4. Performance Issues Issue: Developers experience slow performance or lag when working inside the dev container, affecting productivity. Solution: Optimize the Dockerfile by minimizing the number of layers and using lightweight base images to reduce build times. Allocate sufficient resources (CPU, memory) to Docker through its settings. Avoid unnecessary processes running inside the container to enhance responsiveness. 5. Volume Mounting Problems Issue: Source code or other volumes are not mounting correctly into the container, preventing access to the latest code changes. Solution: Check the mounts configuration in devcontainer.json to ensure paths are correctly specified. Verify that Docker has the necessary permissions to access the directories being mounted. Restarting the container can also help apply any recent changes to the mounting configurations. 6. Dependency Conflicts Issue: Conflicts arise between dependencies required by the project and those installed in the container, leading to build or runtime errors. Solution: Use a clean and specific base image that matches the project's requirements to minimize conflicts. Explicitly define dependency versions in configuration files like package.json or requirements.txt . Consider using virtual environments or dependency managers to isolate and manage dependencies effectively. 7. Container Not Starting Issue: The dev container fails to start, leaving the development environment inaccessible. Solution: Inspect the Docker daemon to ensure it is running correctly and that there are no issues with Docker itself. Review the devcontainer.json and Dockerfile for any misconfigurations or missing commands that could prevent the container from initializing. Rebuilding the container from scratch can often resolve startup issues. 8. SSH/Authentication Problems Issue: Authentication failures occur when trying to access services or repositories from within the dev container. Solution: Ensure that SSH keys and authentication tokens are correctly mounted or copied into the container. Verify that environment variables related to authentication are properly set in devcontainer.json . Using SSH agent forwarding can also help manage secure access without exposing sensitive credentials inside the container. Conclusion Dev containers represent a significant advancement in modern software development, offering consistency, portability, and efficiency. By encapsulating your development environment, you ensure that your projects are reproducible and free from environmental discrepancies. Whether you're working solo or as part of a team, integrating dev containers into your workflow can streamline development processes, reduce setup times, and enhance overall productivity. If you haven't explored dev containers yet, now is the perfect time to dive in. With tools like Docker and Visual Studio Code making setup seamless, embracing dev containers can elevate your development experience to new heights. Start experimenting today and discover the myriad benefits that dev containers have to offer. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. 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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 Cross-Platform application with Ruby + Tauri Joseph Schito Joseph Schito Joseph Schito Follow Jan 25 '24 Cross-Platform application with Ruby + Tauri # ruby # tauri # opal # crossplatform 2 reactions Comments Add Comment 2 min read Nuxt 3 as frontend for Tauri. Kinjalk Tripathi Kinjalk Tripathi Kinjalk Tripathi Follow Jan 21 '24 Nuxt 3 as frontend for Tauri. # nuxt # tauri # rust # beginners 5 reactions Comments Add Comment 3 min read Underestimating rust for my Project. 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Bret emm Bret emm Bret emm Follow Aug 19 '23 Can I run a Tauri app, or Electron app on a Raspberry pi? # tauri # electron # nextjs # react 3 reactions Comments 1 comment 1 min read Introducing Fuzzing with Alexandre CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 19 '23 Introducing Fuzzing with Alexandre # tauri # rust # security # fuzzing 5 reactions Comments Add Comment 12 min read The Best UI Libraries for Cross-Platform Apps with Tauri CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Aug 4 '23 The Best UI Libraries for Cross-Platform Apps with Tauri # tauri # rust # crossplatform # react 9 reactions Comments Add Comment 13 min read 🔥 Why I chose Tauri instead of Electron 🔥 Guilherme Oenning Guilherme Oenning Guilherme Oenning Follow Jul 31 '23 🔥 Why I chose Tauri instead of Electron 🔥 # tauri # electron 19 reactions Comments 7 comments 11 min read Security Advisory for Tauri 1.4 (CVE-2023-34460) CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 24 '23 Security Advisory for Tauri 1.4 (CVE-2023-34460) # tauri # rust # security # audit 6 reactions Comments Add Comment 3 min read UTM for Developers CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 17 '23 UTM for Developers # rust # tauri # utm # virtualmachine 7 reactions Comments Add Comment 3 min read Exploring Cross-Site Scripting with React and Tauri CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 13 '23 Exploring Cross-Site Scripting with React and Tauri # tauri # react # security # xss 5 reactions Comments Add Comment 5 min read Size Matters CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 12 '23 Size Matters # security # tauri 7 reactions Comments Add Comment 4 min read Corporate Social Responsibility CrabNebula CrabNebula CrabNebula Follow for CrabNebulaDev Jul 10 '23 Corporate Social Responsibility # tauri # opensource # culture 4 reactions 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 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://open.forem.com/mobeenulhassanhashmi/roast-my-portfolio-i-launched-mobeenfoliocom-built-with-react-firebase-long-time-ago-2e1f#comments | 🚀 Roast My Portfolio: I Launched mobeenfolio.com (Built with React & Firebase) long time ago. - Open 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 Open Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Mobeen ul Hassan Hashmi Posted on Jan 4 🚀 Roast My Portfolio: I Launched mobeenfolio.com (Built with React & Firebase) long time ago. # cloud # discuss # showcase # webdev Hey Dev.to family! 👋 I finally did it. After weeks of tweaking pixels, fighting with CSS alignment, and configuring Firestore rules, I have officially launched my personal portfolio: 👉 mobeenfolio.com I am putting this out here because I know this community gives the best (and most honest) feedback. Whether it's a UI suggestion, a bug you found on mobile, or just a code optimization tip—I want to hear it. 🛠️ The Tech Stack I wanted to build something fast, scalable, and easy to maintain. I chose the "Serverless" route: Frontend: React (for that snappy component-based architecture) Styling: Tailwind CSS (because writing custom CSS files is so 2020) Backend & Database: Firebase (Firestore for data, Hosting for deployment) Icons: React Icons 🧩 A Cool Code Snippet One thing I love about this stack is how clean the component logic gets when you combine Tailwind utility classes with React state. 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 Mobeen ul Hassan Hashmi Follow Full Stack Web Developer Location Dubai, UAE Education Masters In Computer Science Pronouns Mo-Bee-INN Work I am Full Stack Web Developer Joined Jan 4, 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 Open Forem — A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here 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 . Open Forem © 2016 - 2026. Where all the other conversations belong Log in Create account | 2026-01-13T08:49:35 |
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Report Abuse Prince Posted on Apr 5, 2025 Atomic Structure with the html css and javascript. # javascript # programming # beginners # webdev <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Illusionistic Atomic Structure</title> <style> body { margin: 0; overflow: hidden; background-color: #000; font-family: Arial, sans-serif; display: flex; justify-content: center; align-items: center; height: 100vh; } #atom-container { position: relative; width: 500px; height: 500px; } .nucleus { position: absolute; top: 50%; left: 50%; width: 80px; height: 80px; border-radius: 50%; transform: translate(-50%, -50%); background: radial-gradient(circle at 30% 30%, #f5a9b8 0%, #cc0066 70%); box-shadow: 0 0 30px 10px rgba(255, 100, 150, 0.7); z-index: 10; } .nucleus-particles { position: absolute; width: 100%; height: 100%; border-radius: 50%; overflow: hidden; } .proton, .neutron { position: absolute; width: 20px; height: 20px; border-radius: 50%; } .proton { background: radial-gradient(circle at 30% 30%, #ff9999 0%, #ff0000 100%); box-shadow: 0 0 5px 2px rgba(255, 0, 0, 0.5); } .neutron { background: radial-gradient(circle at 30% 30%, #dddddd 0%, #666666 100%); box-shadow: 0 0 5px 2px rgba(150, 150, 150, 0.5); } .orbital { position: absolute; top: 50%; left: 50%; border-radius: 50%; border: 1px solid rgba(100, 200, 255, 0.3); transform: translate(-50%, -50%) rotateX(70deg); box-shadow: 0 0 10px 1px rgba(100, 200, 255, 0.2); } .orbital-container { position: absolute; top: 0; left: 0; width: 100%; height: 100%; transform-style: preserve-3d; animation: rotate 20s linear infinite; } .electron { position: absolute; width: 12px; height: 12px; border-radius: 50%; background: radial-gradient(circle at 30% 30%, #99ffff 0%, #00ccff 100%); box-shadow: 0 0 15px 5px rgba(0, 200, 255, 0.8); z-index: 5; } .electron-trail { position: absolute; width: 100%; height: 100%; border-radius: 50%; border: 1px solid transparent; } @keyframes rotate { 0% { transform: rotateY(0deg) rotateX(0deg); } 100% { transform: rotateY(360deg) rotateX(360deg); } } .controls { position: absolute; bottom: 20px; display: flex; gap: 10px; z-index: 100; } button { background-color: #4CAF50; border: none; color: white; padding: 8px 16px; text-align: center; text-decoration: none; display: inline-block; font-size: 14px; cursor: pointer; border-radius: 4px; } .quantum-effect { position: absolute; top: 0; left: 0; width: 100%; height: 100%; background: radial-gradient(circle, transparent 30%, rgba(0, 0, 0, 0.8) 100%); opacity: 0.8; pointer-events: none; } .energy-wave { position: absolute; top: 50%; left: 50%; transform: translate(-50%, -50%); width: 10px; height: 10px; border-radius: 50%; background-color: rgba(255, 255, 255, 0.8); filter: blur(1px); animation: wave 2s linear infinite; } @keyframes wave { 0% { width: 10px; height: 10px; opacity: 0.8; } 100% { width: 500px; height: 500px; opacity: 0; } } </style> </head> <body> <div id="atom-container"> <div class="quantum-effect"></div> <div class="orbital-container" id="orbital-container"> <!-- Orbitals and electrons will be added here by JS --> </div> <div class="nucleus"> <div class="nucleus-particles" id="nucleus-particles"> <!-- Protons and neutrons will be added here by JS --> </div> </div> <div id="energy-waves"></div> </div> <div class="controls"> <button id="toggle-perspective">Toggle 3D Perspective</button> <button id="change-element">Change Element</button> <button id="quantum-jump">Quantum Jump</button> </div> <script> // Configuration for different elements const elements = [ { name: 'Hydrogen', protons: 1, neutrons: 0, electrons: [1], color: '#00CCFF', size: 60 }, { name: 'Helium', protons: 2, neutrons: 2, electrons: [2], color: '#FF9900', size: 65 }, { name: 'Lithium', protons: 3, neutrons: 4, electrons: [2, 1], color: '#CC0000', size: 70 }, { name: 'Carbon', protons: 6, neutrons: 6, electrons: [2, 4], color: '#808080', size: 75 }, { name: 'Oxygen', protons: 8, neutrons: 8, electrons: [2, 6], color: '#FF0000', size: 80 }, { name: 'Neon', protons: 10, neutrons: 10, electrons: [2, 8], color: '#FF00FF', size: 85 } ]; // State let currentElement = 0; let perspective3D = true; let orbitalContainers = []; // DOM elements const orbitalContainer = document.getElementById('orbital-container'); const nucleusParticles = document.getElementById('nucleus-particles'); const energyWaves = document.getElementById('energy-waves'); // Initialize function init() { document.getElementById('toggle-perspective').addEventListener('click', togglePerspective); document.getElementById('change-element').addEventListener('click', changeElement); document.getElementById('quantum-jump').addEventListener('click', createQuantumJump); renderAtom(elements[currentElement]); // Add random energy waves setInterval(createEnergyWave, 2000); } function renderAtom(element) { // Clear previous atom orbitalContainer.innerHTML = ''; nucleusParticles.innerHTML = ''; document.title = `${element.name} Atom Illusion`; // Update nucleus size const nucleus = document.querySelector('.nucleus'); nucleus.style.width = `${element.size}px`; nucleus.style.height = `${element.size}px`; // Create protons and neutrons for (let i = 0; i < element.protons; i++) { const proton = document.createElement('div'); proton.className = 'proton'; proton.style.left = `${Math.random() * (element.size - 20)}px`; proton.style.top = `${Math.random() * (element.size - 20)}px`; nucleusParticles.appendChild(proton); } for (let i = 0; i < element.neutrons; i++) { const neutron = document.createElement('div'); neutron.className = 'neutron'; neutron.style.left = `${Math.random() * (element.size - 20)}px`; neutron.style.top = `${Math.random() * (element.size - 20)}px`; nucleusParticles.appendChild(neutron); } // Create electron shells orbitalContainers = []; for (let i = 0; i < element.electrons.length; i++) { const shellContainer = document.createElement('div'); shellContainer.className = 'orbital-container'; shellContainer.style.animation = `rotate ${15 + i * 5}s linear infinite`; const shellSize = 150 + (i * 80); // Create orbital const orbital = document.createElement('div'); orbital.className = 'orbital'; orbital.style.width = `${shellSize}px`; orbital.style.height = `${shellSize}px`; shellContainer.appendChild(orbital); // Create electrons in this shell for (let j = 0; j < element.electrons[i]; j++) { const angle = (j / element.electrons[i]) * 2 * Math.PI; const electron = document.createElement('div'); electron.className = 'electron'; // Calculate position on orbit const radius = shellSize / 2; const x = Math.cos(angle) * radius; const y = Math.sin(angle) * radius; electron.style.left = `${x + 250}px`; electron.style.top = `${y + 250}px`; // Create electron trail const trail = document.createElement('div'); trail.className = 'electron-trail'; trail.style.width = `${shellSize}px`; trail.style.height = `${shellSize}px`; trail.style.left = `${250 - shellSize/2}px`; trail.style.top = `${250 - shellSize/2}px`; trail.style.borderColor = `rgba(0, 200, 255, ${0.2 - i * 0.05})`; shellContainer.appendChild(trail); shellContainer.appendChild(electron); // Add animation electron.style.animation = `orbit${i} ${8 - i}s linear infinite`; const style = document.createElement('style'); style.textContent = ` @keyframes orbit${i} { 0% { transform: rotate(${angle}rad) translateX(${radius}px) rotate(-${angle}rad); } 100% { transform: rotate(${angle + 2 * Math.PI}rad) translateX(${radius}px) rotate(-${angle + 2 * Math.PI}rad); } } `; document.head.appendChild(style); } orbitalContainer.appendChild(shellContainer); orbitalContainers.push(shellContainer); } } function togglePerspective() { perspective3D = !perspective3D; orbitalContainers.forEach((container, i) => { if (perspective3D) { container.style.transform = ''; } else { container.style.transform = 'rotateX(0deg)'; } const orbitals = container.querySelectorAll('.orbital'); orbitals.forEach(orbital => { if (perspective3D) { orbital.style.transform = 'translate(-50%, -50%) rotateX(70deg)'; } else { orbital.style.transform = 'translate(-50%, -50%) rotateX(0deg)'; } }); }); } function changeElement() { currentElement = (currentElement + 1) % elements.length; renderAtom(elements[currentElement]); // Create quantum effect createQuantumJump(); } function createQuantumJump() { // Create a flash effect const flash = document.createElement('div'); flash.style.position = 'absolute'; flash.style.top = '0'; flash.style.left = '0'; flash.style.width = '100%'; flash.style.height = '100%'; flash.style.backgroundColor = 'white'; flash.style.opacity = '0.8'; flash.style.zIndex = '100'; flash.style.transition = 'opacity 0.5s'; document.getElementById('atom-container').appendChild(flash); // Create multiple energy waves for (let i = 0; i < 5; i++) { setTimeout(createEnergyWave, i * 100); } // Make electrons jump const electrons = document.querySelectorAll('.electron'); electrons.forEach(electron => { const originalLeft = electron.style.left; const originalTop = electron.style.top; // Jump to random position electron.style.transition = 'all 0.3s ease-out'; electron.style.left = `${Math.random() * 400 + 50}px`; electron.style.top = `${Math.random() * 400 + 50}px`; // Return to original position setTimeout(() => { electron.style.left = originalLeft; electron.style.top = originalTop; }, 300); }); // Fade out flash setTimeout(() => { flash.style.opacity = '0'; setTimeout(() => { flash.remove(); }, 500); }, 200); } function createEnergyWave() { const wave = document.createElement('div'); wave.className = 'energy-wave'; energyWaves.appendChild(wave); // Remove wave after animation completes setTimeout(() => { wave.remove(); }, 2000); } // Start init(); </script> </body> </html> Enter fullscreen mode Exit fullscreen mode Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Some comments may only be visible to logged-in visitors. Sign in to view all comments. Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Prince Follow Hie I'm Prince , passionate Mern stack developer with the strong foundation of the basics with foundation i used to create reels or videos for the linkedin ,instagram and youtube follow me there . Location Gurdaspur,Punjab,India Education Sardar Beant Singh State University Work Student Joined Sep 9, 2024 More from Prince Physics effects with the normal css , html and javascript # webdev # programming # javascript # beginners Heart of codes # webdev # programming # javascript # beginners Purpose your love with the coding of the html css and javascript illusionistic heart with particles # webdev # programming # javascript # ai 💎 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 | 2026-01-13T08:49:35 |
https://dev.to/_402ccbd6e5cb02871506/super-fast-markdown-linting-for-go-developers-meet-gomarklint-3ikd#whats-next-roadmap | Super Fast Markdown Linting for Go Developers: Meet gomarklint - 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 Kazu Posted on Jan 13 Super Fast Markdown Linting for Go Developers: Meet gomarklint # go # performance # showdev # markdown The "Why" (The Motivation) Documentation is the heart of any project, but keeping it consistent is a nightmare. While working on various Go projects, I realized a few things about my workflow: Context Switching Costs: I love Go's speed and simplicity. Having to install Node.js or Ruby just to run a Markdown linter in a Go project felt "heavy." CI Fatigue: In large repositories, documentation checks shouldn't take seconds—they should take milliseconds. Every second saved in CI is a win for developer experience. The "Broken Link" Problem: There’s nothing more embarrassing than shipping a README with dead links. I needed a tool that catches these issues instantly. I couldn't find a tool that was Go-native, ultra-fast, and zero-config by default, so I decided to build one. The goal for gomarklint was simple: Make Markdown linting so fast and easy that you never have an excuse to skip it. Speed Performance When I say "fast," I mean Go-fast. In many CI/CD pipelines, linting documentation is often the bottleneck that adds unnecessary seconds (or even minutes) to every PR. gomarklint changes that. By leveraging Go's concurrency and efficient string handling, it delivers near-instant feedback. The Benchmark: I tested gomarklint against a large documentation set: Total Files: 180 Markdown files Total Volume: 100,000+ lines of text Execution Time: < 50ms To put that in perspective, 50ms is literally faster than the blink of a human eye. You can run this on every single file save without ever noticing a stutter in your workflow. By removing the overhead of a virtual machine or a heavy runtime, gomarklint ensures that your documentation quality stays high without sacrificing your velocity. Key Features gomarklint doesn't just check syntax; it enforces a logical structure for your documentation. Here are the core rules it handles out of the box: Heading Hierarchy Enforcement : Ever seen a document jump from an H2 directly to an H4? It breaks the visual flow and accessibility. gomarklint ensures your heading levels follow a strict, logical sequence. Duplicate Heading Detection : Identical headings in the same file can break anchor links (e.g., #features vs #features-1). We catch these early so your internal navigation never breaks. Broken Link Checker (Internal & External) : This is my favorite. It scans your Markdown for links and validates them. No more 404s for your users when they click on a "Getting Started" guide or an external API reference. Configuration via JSON : While it works great with zero config, you can easily tweak rules or ignore specific paths using a simple .gomarklint.json file. Quick Start # install (choose one) go install github.com/shinagawa-web/gomarklint@latest # or clone and build manually git clone https://github.com/shinagawa-web/gomarklint cd gomarklint make build # or: go build ./cmd/gomarklint Enter fullscreen mode Exit fullscreen mode 1) Initialize config (optional but recommended) gomarklint init Enter fullscreen mode Exit fullscreen mode This creates .gomarklint.json with sensible defaults: { "include": ["."], "ignore": ["node_modules", "vendor"], "minHeadingLevel": 2, "enableHeadingLevelCheck": true, "enableDuplicateHeadingCheck": true, "enableLinkCheck": false, "skipLinkPatterns": [], "outputFormat": "text" } Enter fullscreen mode Exit fullscreen mode You can edit it anytime — CLI flags override config values. 2) Run it # lint current directory recursively gomarklint ./... # lint specific targets gomarklint docs README.md internal/handbook Enter fullscreen mode Exit fullscreen mode What's Next? (Roadmap) gomarklint is already stable and fast, but I have a clear vision for where it’s headed. I’m actively working on expanding its rule set to cover even more edge cases and best practices. Here’s what you can expect in the coming updates: max-line-length Enforcement : To keep your Markdown source files readable in any editor or GitHub's UI. Image Alt-Text Validation : Improving accessibility by ensuring every image has a descriptive alt attribute. Custom Rules via JSON : Giving you the power to define your own project-specific rules in .gomarklint.json. Auto-fixing (The Dream) : While currently focused on linting, I’m exploring ways to automatically fix simple issues like heading level skips. We are Open for Contributions! If you have a rule in mind that would make your documentation better, or if you find a bug, please open an Issue or a Pull Request on GitHub. I’d love to build the future of this tool together with the community. Wrap Up Building gomarklint has been an incredible journey into the world of Go performance and static analysis. It started as a small tool for my own workflow, but I realized that many other developers are likely facing the same "slow linting" frustration. If you're looking for a way to keep your documentation spotless without adding bloat to your CI/CD, I’d be honored if you gave gomarklint a try. Check it out on GitHub : shinagawa-web/gomarklint Give it a ⭐: If you find the project useful, a Star would mean the world to me and helps others discover the tool! I’m really curious to hear from you: What’s the most annoying thing you’ve encountered with Markdown formatting? Let’s chat in the comments below! Happy hacking! 🚀 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 Kazu Follow Joined Aug 9, 2025 More from Kazu Building a Culture of Documentation Quality in CI/CD # markdown # cicd # documentation # opensource Inside gomarklint: Architecture, Rule Engine, and How to Extend It # programming # go # markdown Inside gomarklint: Building a High-Performance Markdown Linter in Go # go # markdown # 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 | 2026-01-13T08:49:35 |
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Learn more Back to tabs customer stories See how customers are innovating with Teams</h2> "> See how customers are innovating with Teams Previous Slide Next Slide See all customer stories Fortune Brands Innovations unifies their brands under one portal with Microsoft Power Pages Fortune Brands Innovations created a more streamlined customer experience using Microsoft Power Pages and Dynamics 365 Customer Experience. Products Azure Data Factory Dynamics 365 Customer Service Microsoft Power Platform Read the story Solv eliminates 98% of clerical errors with Dynamics 365 Business Central Solv improved report accuracy and efficiency by switching to Dynamics 365 Business Central, saving 40 man-hours monthly and enhancing financial controls. Products Dynamics 365 Business Central Read the story Syensqo.AI leverages Azure OpenAI Service to develop SyGPT chatbot in record time Syensqo.AI, a division of the Belgian science and technology leader Syensqo, has developed SyGPT, an advanced AI chatbot using Azure OpenAI Service. Products Azure Azure AI Services Azure Cosmos DB Read the story Back to SUCCESS STORIES section Get started Take the next step with Teams</h2> "> Take the next step with Teams For business Grow your customer base with communications software designed for up to 300 employees. See plans and pricing For individuals Plan events, share photos, and connect with your friends, family, and community. Try Teams for free For enterprise Achieve more with Teams accounts for more than 300 people. Get started For education Make learning collaborative—for both students and educators. Learn more [1] AI-generated meeting notes are currently available in Microsoft Teams Premium only. [2] Gartner, Magic Quadrant for Unified Communications as a Service, Pankil Sheth, Megan Fernandez, Christopher Trueman, Rafael Benitez, Nitin Narang 22 September 2025. The report was titled as Magic Quadrant for Unified Communications as a Service, Worldwide from 2015-2022. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 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https://open.forem.com/mobeenulhassanhashmi/roast-my-portfolio-i-launched-mobeenfoliocom-built-with-react-firebase-long-time-ago-2e1f | 🚀 Roast My Portfolio: I Launched mobeenfolio.com (Built with React & Firebase) long time ago. - Open 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 Open Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Mobeen ul Hassan Hashmi Posted on Jan 4 🚀 Roast My Portfolio: I Launched mobeenfolio.com (Built with React & Firebase) long time ago. # cloud # discuss # showcase # webdev Hey Dev.to family! 👋 I finally did it. After weeks of tweaking pixels, fighting with CSS alignment, and configuring Firestore rules, I have officially launched my personal portfolio: 👉 mobeenfolio.com I am putting this out here because I know this community gives the best (and most honest) feedback. Whether it's a UI suggestion, a bug you found on mobile, or just a code optimization tip—I want to hear it. 🛠️ The Tech Stack I wanted to build something fast, scalable, and easy to maintain. I chose the "Serverless" route: Frontend: React (for that snappy component-based architecture) Styling: Tailwind CSS (because writing custom CSS files is so 2020) Backend & Database: Firebase (Firestore for data, Hosting for deployment) Icons: React Icons 🧩 A Cool Code Snippet One thing I love about this stack is how clean the component logic gets when you combine Tailwind utility classes with React state. 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 Mobeen ul Hassan Hashmi Follow Full Stack Web Developer Location Dubai, UAE Education Masters In Computer Science Pronouns Mo-Bee-INN Work I am Full Stack Web Developer Joined Jan 4, 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 Open Forem — A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here 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 . Open Forem © 2016 - 2026. Where all the other conversations belong Log in Create account | 2026-01-13T08:49:35 |
https://www.fine.dev/blog/about-devcontainers#1-container-fails-to-build | Everything you need to know about Dev Containers Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Everything you need to know about Dev Containers Table of Contents What Are Dev Containers? Key Components of Dev Containers Why Use Dev Containers? Consistency Across Environments Simplified Setup Isolation Portability Enhanced Productivity How to Get Started with Dev Containers 1. Install Necessary Tools 2. Create Configuration Files 3. Launch the Dev Container Best Practices for Using Dev Containers 1. Keep Configuration Files Under Version Control 2. Optimize Dockerfile for Performance 3. Define Clear Extension Requirements 4. Manage Secrets Securely Common Use Cases for Dev Containers 1. Multi-language Projects 2. Open Source Contributions 3. Continuous Integration/Continuous Deployment (CI/CD) 4. Experimentation and Prototyping Troubleshooting Common Issues with Dev Containers 1. Container Fails to Build 2. Extensions Not Installing 3. Port Forwarding Not Working 4. Performance Issues 5. Volume Mounting Problems 6. Dependency Conflicts 7. Container Not Starting 8. SSH/Authentication Problems Conclusion What Are Dev Containers? A dev container (short for development container ) is an isolated, reproducible environment tailored for software development. Leveraging containerization technologies like Docker, dev containers encapsulate all the necessary tools, libraries, dependencies, and configurations required for a project. This ensures that your development environment remains consistent, regardless of the underlying host system. Key Components of Dev Containers Container Image : A lightweight, standalone package that includes everything needed to run the application—code, runtime, system tools, libraries, and settings. Dockerfile : A script containing a series of instructions to build the container image. It specifies the base image and outlines steps to install dependencies and configure the environment. devcontainer.json : A configuration file used by development tools (like Visual Studio Code) to customize the container setup. It defines settings such as extensions, port mappings, and environment variables. Why Use Dev Containers? Adopting dev containers offers numerous advantages, especially for developers new to the concept: 1. Consistency Across Environments Dev containers ensure that every team member works in the same environment, eliminating the notorious "it works on my machine" problem. This consistency reduces bugs and streamlines collaboration. 2. Simplified Setup Onboarding new developers becomes a breeze. Instead of manually installing dependencies and configuring environments, newcomers can get started quickly by simply using the predefined dev container configuration. 3. Isolation Dev containers keep project dependencies isolated from the host system. This prevents conflicts between different projects and maintains a clean local environment. 4. Portability Containers are platform-agnostic. Whether you're on Windows, macOS, or Linux, dev containers behave the same way, making it easy to switch between different development setups or collaborate with others. 5. Enhanced Productivity Integration with popular IDEs, like Visual Studio Code, allows developers to work seamlessly inside containers. Features such as debugging, version control, and extensions work as if you were working on a local machine. How to Get Started with Dev Containers Setting up a dev container is straightforward, especially with tools like Visual Studio Code (VS Code) and Docker. Here's a step-by-step guide to help you get started: 1. Install Necessary Tools Docker : Install Docker from docker.com . Docker is essential for creating and managing containers. Visual Studio Code : Download and install VS Code from code.visualstudio.com . Dev Containers Extension : In VS Code, navigate to the Extensions marketplace and install the Dev Containers extension . 2. Create Configuration Files Within your project directory, create a .devcontainer folder. This folder will house the necessary configuration files: Dockerfile : Defines the base image and instructions to set up the container environment. # Use an official Node.js runtime as the base image FROM node:14 # Set the working directory inside the container WORKDIR /usr/src/app # Copy package.json and package-lock.json COPY package*.json ./ # Install project dependencies RUN npm install # Copy the rest of the application code COPY . . # Expose port 3000 EXPOSE 3000 # Define the command to run the application CMD ["npm", "start"] 3. Launch the Dev Container Open your project in VS Code. Press Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (macOS) to open the Command Palette. Type Remote-Containers: Open Folder in Container and select it. VS Code will build the container based on your configuration files. This process might take a few minutes, especially the first time. Once built, your project will open inside the container, ready for development. Best Practices for Using Dev Containers To maximize the benefits of dev containers, consider the following best practices: 1. Keep Configuration Files Under Version Control Include your .devcontainer folder in your version control system (e.g., Git). This ensures that all team members use the same environment setup. 2. Optimize Dockerfile for Performance Leverage Caching : Order your Dockerfile instructions to take advantage of Docker's layer caching. For instance, copy package.json and run npm install before copying the rest of the code. This minimizes rebuild times when only code changes. Use Lightweight Base Images : Choose base images that are lightweight to reduce build times and resource usage. 3. Define Clear Extension Requirements Specify only the necessary VS Code extensions in devcontainer.json . This keeps the container lean and ensures faster startup times. 4. Manage Secrets Securely Avoid hardcoding sensitive information in configuration files. Use environment variables or secret management tools to handle credentials securely. Common Use Cases for Dev Containers Dev containers are versatile and can be beneficial in various scenarios: 1. Multi-language Projects Projects that use multiple programming languages or frameworks can define a dev container that includes all necessary tools and dependencies, streamlining the development process. Dev containers are versatile and can be beneficial in various scenarios: 1. Multi-language Projects Projects that use multiple programming languages or frameworks can define a dev container that includes all necessary tools and dependencies, streamlining the development process. 2. Open Source Contributions Open source projects often attract contributors from diverse backgrounds. Providing a dev container setup allows contributors to get started quickly without worrying about environment configurations. 3. Continuous Integration/Continuous Deployment (CI/CD) Ensuring that the development environment matches the production environment reduces deployment issues. Dev containers can be integrated into CI/CD pipelines to maintain consistency. 4. Experimentation and Prototyping Developers can experiment with new technologies or configurations within isolated containers without affecting their primary development setup. Troubleshooting Common Issues with Dev Containers While dev containers simplify the development workflow, you might encounter some common issues during setup and usage. Below are typical problems developers face with dev containers and straightforward solutions to resolve them. 1. Container Fails to Build Issue: During the build process, the container fails to build, often due to errors in the Dockerfile or missing dependencies. Solution: Check the Dockerfile for syntax errors and ensure all necessary dependencies are correctly specified. Review the build logs to identify the exact step causing the failure and adjust the configurations accordingly. Updating Docker to the latest version can also resolve compatibility issues. 2. Extensions Not Installing Issue: VS Code extensions specified in devcontainer.json are not being installed inside the container. Solution: Verify that the extension identifiers in devcontainer.json are correct and compatible with the container's environment. Ensure that the postCreateCommand is properly configured to install extensions. Restarting VS Code and rebuilding the container can also help apply the changes. 3. Port Forwarding Not Working Issue: Ports exposed in the container are not accessible from the host machine, hindering the ability to test web applications or APIs. Solution: Ensure that the ports are correctly specified in the forwardPorts section of devcontainer.json . Check for any firewall or network settings on the host that might be blocking the ports. Additionally, confirm that the application inside the container is listening on the correct network interface (e.g., 0.0.0.0 ). 4. Performance Issues Issue: Developers experience slow performance or lag when working inside the dev container, affecting productivity. Solution: Optimize the Dockerfile by minimizing the number of layers and using lightweight base images to reduce build times. Allocate sufficient resources (CPU, memory) to Docker through its settings. Avoid unnecessary processes running inside the container to enhance responsiveness. 5. Volume Mounting Problems Issue: Source code or other volumes are not mounting correctly into the container, preventing access to the latest code changes. Solution: Check the mounts configuration in devcontainer.json to ensure paths are correctly specified. Verify that Docker has the necessary permissions to access the directories being mounted. Restarting the container can also help apply any recent changes to the mounting configurations. 6. Dependency Conflicts Issue: Conflicts arise between dependencies required by the project and those installed in the container, leading to build or runtime errors. Solution: Use a clean and specific base image that matches the project's requirements to minimize conflicts. Explicitly define dependency versions in configuration files like package.json or requirements.txt . Consider using virtual environments or dependency managers to isolate and manage dependencies effectively. 7. Container Not Starting Issue: The dev container fails to start, leaving the development environment inaccessible. Solution: Inspect the Docker daemon to ensure it is running correctly and that there are no issues with Docker itself. Review the devcontainer.json and Dockerfile for any misconfigurations or missing commands that could prevent the container from initializing. Rebuilding the container from scratch can often resolve startup issues. 8. SSH/Authentication Problems Issue: Authentication failures occur when trying to access services or repositories from within the dev container. Solution: Ensure that SSH keys and authentication tokens are correctly mounted or copied into the container. Verify that environment variables related to authentication are properly set in devcontainer.json . Using SSH agent forwarding can also help manage secure access without exposing sensitive credentials inside the container. Conclusion Dev containers represent a significant advancement in modern software development, offering consistency, portability, and efficiency. By encapsulating your development environment, you ensure that your projects are reproducible and free from environmental discrepancies. Whether you're working solo or as part of a team, integrating dev containers into your workflow can streamline development processes, reduce setup times, and enhance overall productivity. If you haven't explored dev containers yet, now is the perfect time to dive in. With tools like Docker and Visual Studio Code making setup seamless, embracing dev containers can elevate your development experience to new heights. Start experimenting today and discover the myriad benefits that dev containers have to offer. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. 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https://dev.to/dheerajaggarwal/validate-your-complex-json-api-responses-within-seconds-286m | Validate your complex JSON API responses within seconds - 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 Dheeraj Aggarwal Posted on Feb 22, 2021 Validate your complex JSON API responses within seconds # testing # api # json # vrestng Watch our video #tutorial on how you may validate your complex JSON responses within few seconds using the #vREST NG Application. In our future sessions, we will see more advanced approaches to validate your complex API responses like a piece of cake. So stay tuned to our video series. Youtube Link: https://youtu.be/nAJ4dP8DSYQ Youtube Playlist: https://youtube.com/playlist?list=PLmua155_WrDzt1AbB6iV5Lsw_Z7QrzZZ0 vREST NG is an enterprise-ready application for Automated API Testing. You can download and install the vREST NG application directly on Windows, OSX, and Linux via our website. Important Links: vREST NG Website Contact Email Community Chat Book a Live Demo Please do like and share if you found this video helpful and let the voice heard by the testing community. Also, let us know your feedback by commenting on this post. 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 Dheeraj Aggarwal Follow Creator of vREST NG, API Automation Expert with 10+ years of experience. Passionate about Yoga and Kalaripayattu. Location India Education M.S. from BITS Pilani Work Engineering Manager at Optimizory Technologies Pvt. Ltd. Joined Dec 30, 2019 More from Dheeraj Aggarwal API Testing - Executing API Tests on the command line # testing # tutorial # apitesting # vrest API Testing - Setting up API Tests for different environments like Dev, Prod,... # testing # tutorial # apitesting # vrest API Testing - How to manage API Test suites in vREST NG Application? # testing # tutorial # apitesting # vrest 💎 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://dev.to/devin-rosario/app-development-costs-in-2026-a-minnesota-startups-guide-2hnd#comments | App Development Costs in 2026: A Minnesota Startup’s Guide - 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 Devin Rosario Posted on Dec 15, 2025 • Edited on Dec 30, 2025 App Development Costs in 2026: A Minnesota Startup’s Guide # mobiledev # software # business # discuss The New Economics of App Development: What Influences Costs in 2026? For startup founders, product managers, and established firms in the Twin Cities and across the Upper Midwest, the decision to build a new mobile application is rarely about if —it’s about how much and how fast . The digital landscape in 2026 has evolved dramatically, introducing new variables that profoundly impact budgeting, shifting the focus beyond simple features to factors like integrated Artificial Intelligence (AI) and complex regulatory compliance. Predicting the cost of a mobile application is less about calculating a fixed price and more about understanding a dynamic set of variables. In the highly competitive, quality-focused Minnesota tech ecosystem—known for its strength in MedTech, FinTech, and AgriTech—the final price tag reflects not just the complexity of the code, but the high-caliber engineering talent required to build secure, scalable solutions. This guide breaks down the core cost drivers for app development in 2026, offering a strategic framework for budgeting that accounts for modern demands and the realities of sourcing premier technical expertise in the Bold North . The Four Pillars of 2026 App Cost Calculation App development costs are typically calculated based on total estimated hours multiplied by the team's blended hourly rate. However, in 2026, four primary pillars dictate these total hours and the required rate of the talent. 1. Feature Complexity and the AI Premium The single biggest cost driver remains the feature set, often categorized by complexity: Basic, Mid-Range, or Enterprise. But today, the core complexity must be assessed through the lens of emerging technologies like AI and Machine Learning (ML). Basic vs. Mid-Range Complexity A basic Minimum Viable Product (MVP) suitable for proof-of-concept—such as a simple utility app with basic user login and static content (e.g., a simple event scheduler for a St. Paul non-profit)—requires an estimated 500 to 1,000 development hours . Mid-range applications, which are common among scaling startups, typically require complex integrations: Custom API integrations (beyond simple sign-on). Payment gateway integration (Stripe, Braintree). Real-time data synchronization. Geolocation or advanced mapping features. Complex user roles and permissions (e.g., a field agent portal for an AgriTech company based near Rochester ). This complexity level frequently pushes the estimate to between 1,200 and 2,500 hours . The Cost Multiplier of AI Integration In 2026, advanced features involving AI and ML are quickly transitioning from "nice-to-have" to "must-have" for competitive differentiation. Integrating AI comes with a significant premium due to the specialized data science and engineering skills required. Key AI Features That Drive Cost: Predictive Analytics: Building custom ML models to predict user churn or optimize inventory (e.g., forecasting demand for a Minneapolis e-commerce startup). Generative AI: Implementing sophisticated large language models (LLMs) for custom content generation or advanced conversational chatbots. Personalization Engines: Creating real-time recommendation systems that require complex backend data processing and model tuning. While AI tools may increase development efficiency in some areas, the integration and training of custom AI models often add 20% to 50% to the initial feature development budget for enterprise-grade applications. For a complex platform targeting the high-compliance MedTech sector (a staple of the Minnesota economy), initial build costs can easily surpass $450,000 to $650,000+ to achieve regulatory-ready AI functionality. 2. Technology Stack and Architecture The decision between building a native app (separate codebases for iOS and Android) versus a cross-platform solution (React Native or Flutter) remains a critical cost factor. Native vs. Cross-Platform Cost Trade-Offs Cross-Platform (e.g., Flutter, React Native): Initial Cost Saving: Often reduces the initial time-to-market and development cost by 30% to 50% since only one codebase is primarily maintained. Best for: MVPs, simple apps, or apps where performance is secondary to broad market reach. Native (e.g., Swift/Kotlin): Higher Initial Cost: Requires two separate development teams or work streams. Value Proposition: Superior performance, deep hardware integration (critical for IoT or specific MedTech devices), and seamless user experience. In the Twin Cities , where established corporations often prioritize reliability and high-end performance, many scalable FinTech and HealthTech applications default to native development to minimize technical debt and ensure compliance with strict platform guidelines, justifying the higher initial outlay for long-term operational stability. Backend Architecture and Cloud Services The development of a robust backend (the server-side logic, database, and APIs) accounts for a substantial portion of the budget. In 2026, founders must budget for advanced cloud infrastructure costs (AWS, Azure, Google Cloud) that scale automatically. Poorly planned architecture, often chosen for initial low cost, leads to expensive refactoring later. 3. The Talent Factor: Location, Expertise, and the Minnesota Premium The development team’s geographic location and expertise is perhaps the most quantifiable cost driver. A team based in a major hub like the Twin Cities commands higher rates than teams in lower-cost markets, a phenomenon often referred to locally as the "Minnesota Premium." The High Value of Local Partnership While international outsourcing offers lower nominal hourly rates, local partners in Minneapolis or Bloomington provide essential value that mitigates significant financial risks: Direct Cultural Alignment: Seamless communication, time-zone alignment, and an understanding of the regional business culture (especially compliance norms). Specialized Industry Expertise: Access to deep pools of developers specializing in complex, high-regulation sectors like MedTech and FinTech, which are core to the Minnesota economy. Risk Mitigation: Local accountability, transparent contracts, and easier in-person collaboration, particularly valuable during the critical discovery phase and QA. In the Twin Cities metro area, specialized agencies with senior talent typically command rates ranging from $135 to $185+ per hour for development leads and specialized architects. This high rate reflects the efficiency, quality, and lower long-term maintenance burden delivered by top-tier professionals. For businesses aiming to build a high-quality, scalable mobile application with a local team that understands the regulatory and technical nuances of the Upper Midwest, partnering with proven experts is essential. Working with a trusted mobile app development company in Minnesota ensures your product is built to meet regional compliance standards while remaining future-ready and scalable. 4. The Hidden Cost: Post-Launch and Regulatory Compliance Many founders fail to budget adequately for costs that occur after the app’s initial launch, leading to critical budget shortfalls six months down the road. Ongoing Maintenance and Updates Maintenance is not a one-time charge; it is an annual, ongoing operational expense. Plan to allocate 15% to 20% of the initial development cost annually for: OS Compatibility: Regularly updating the app for new releases of iOS and Android (e.g., managing the transition when Apple launches its next major OS revision). Security Patches: Addressing vulnerabilities and implementing regular security audits. Feature Enhancements: Small, iterative updates based on user feedback. The Regulatory Cost for High-Value Sectors Minnesota’s strengths in HealthTech and FinTech mean many apps developed here face stringent regulatory hurdles. The cost of achieving and maintaining compliance is a non-negotiable budget item: HealthTech (HIPAA, FDA): Apps handling Protected Health Information (PHI)—common in the Rochester and Minneapolis health corridors—require rigorous security architecture, documentation, and auditing, adding significant development hours focused purely on compliance, not features. FinTech (PCI, SOC 2): Financial services apps, particularly those integrating with legacy banking systems, demand extreme security layers, encryption protocols, and mandatory auditing that inflate the QA and security architecture phases. Case Study: Budgeting in the Twin Cities HealthTech Sector To illustrate these factors, consider a hypothetical HealthTech startup in Duluth seeking to launch a patient adherence app, connecting to wearable devices to track medication consumption and report data to clinicians (requiring HIPAA compliance). Cost Driver Feature/Requirement Estimated Hours (Twin Cities Rate) Est. Cost (at $150/hr blended rate) Complexity (Mid-Range) User profile, secure login, prescription schedule, push notifications. 1,400 hours $210,000 AI Premium Basic machine learning model for identifying non-adherence patterns. 350 hours $52,500 Architecture Native iOS/Android (for device integration), HIPAA-compliant cloud backend. 800 hours $120,000 Regulatory & QA Security audits, penetration testing, compliance documentation (HIPAA readiness). 450 hours $67,500 Discovery & Design (UI/UX) Wireframing, detailed user journey mapping, visual design. 300 hours $45,000 Total Initial Development (MVP) 3,300 hours ~$495,000 Ongoing Maintenance (Year 1) OS updates, minor bug fixes, server costs (18% of initial build). N/A ~$89,100 This scenario shows that even a seemingly mid-range app with high compliance needs and specialized integrations quickly moves into the upper six-figure range when factoring in the talent and rigor expected within the Minnesota professional market. Strategic Budgeting: How to Control App Development Costs Controlling development costs is not about choosing the cheapest option; it is about maximizing predictability and minimizing rework. Here are actionable frameworks for founders in the Twin Cities and beyond: 1. Master the Discovery Phase The Discovery Phase (or Product Definition Workshop) is the most undervalued part of the budget. Spending 3 to 6 weeks in this phase, often costing between $7,500 and $15,000 , drastically reduces overall risk. A comprehensive discovery process delivers: A functional specification document (FSD). Detailed user stories and journey maps. A prioritized feature backlog (The Scope). A fixed-scope estimate for the MVP. Rushing this phase is the single largest cause of scope creep and budget overruns. 2. Implement the Minimum Marketable Product (MMP) Approach Instead of pursuing a full-featured product (the costly "Complex" tier), focus relentlessly on the Minimum Marketable Product (MMP). The MMP is the smallest set of features that solves a core user problem, allows the business to enter the market, and provides a pathway to profitability. This approach dramatically lowers the initial cost, enabling rapid iteration and external funding based on real user data, a strategy strongly championed by accelerators like Launch Minnesota . 3. Prioritize Native Features Over Cross-Platform Compromise While cross-platform solutions save money upfront, be brutally honest about your performance and integration needs. If your app requires seamless interaction with specific native features (like advanced camera functions, intricate touch gestures, or high-performance graphics), investing in native development now will save five to ten times that amount in performance bug fixes and refactoring later. By adopting a clear strategy, leveraging experienced local partners who understand the compliance landscape, and prioritizing feature sets based on business value, Minnesota startups can navigate the complex waters of app development in 2026 and build scalable technology without sinking the budget. 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 Devin Rosario Follow Blogger writing about mobile app development, sharing tips on coding, frameworks, UI/UX, and trends to help developers and startups build secure, scalable, and user-friendly apps. Joined Jun 23, 2025 More from Devin Rosario Startup App Development Costs in Minnesota: What Founders Pay in 2026 # startup # mobile # business # productivity Maryland Startup App Costs in 2026: What Founders Pay # startup # mobileapp # business # tech Virginia Startup App Costs 2026: What Founders Actually Pay # startup # mobile # business # virginia 💎 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://opensource.org/board-member/thierry-carrez | Thierry Carrez – 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 Thierry Carrez Thierry Carrez he/him Vice Chair Board Member Candidacy Period: August 23, 2021 – March 31, 2027 Type of Seat: Affiliate With a direct interest in the intersection between technical and social aspects, Thierry has been facilitating collaboration and open innovation using open source for the last 20 years. He was directly involved in a number of open source projects, starting with Gentoo Linux where he headed the security team and was a board member, continuing at Canonical as the technical lead for Ubuntu Server, then working on OpenStack as its release manager and elected Technical Committee chair. He is now the General Manager at the Open Infrastructure Foundation, a non-profit organization fostering open development of open source infrastructure solutions. How the candidate will contribute to the board If reelected, I intend to continue the stewardship work I’ve been doing in the last 3 years as an officer on the OSI board, first as Secretary and then as Vice-Chair. After serving a first term on the board, I can also help provide historical perspective as OSI finalizes its transition to a staff-driven organization. I’ll continue to be directly engaged in the shaping of the messaging of the organization. In particular, I intend to continue advocating for the value of the permissionless innovation that open source licenses has unleashed, and defend it against proprietary relicensing. Why the candidate should be elected I bring first-hand experience in non-profit management, combined with an interest in the mechanics of open innovation, over a strong technical background that helps me understand the latest trends. This allows me to effectively represent on the board the interests of open source maintainers and contributors, in addition to the perspective of OSI affiliate organizations. The open source community is facing many significant challenges today. More than ever, we need to join forces and push common messaging, and I see the OSI affiliates as the right group to further organize our defense. 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 | 2026-01-13T08:49:35 |
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https://www.fine.dev/blog/remote-first-tech-startup#4-hire-for-remote-friendly-qualities | How to Build a Remote-First Tech Team as a Startup CTO: Tools and Tactics Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Remote-First Tech Team as a Startup CTO: Tools and Tactics Building a successful remote-first tech team requires the right tools and tactics. Some startups thrive off of remote workers around the world - others are sunk by inefficiency and communication failures. In this post, we'll explore essential steps and technologies to help you build a high-performing remote-first team. Table of Contents Establish a Strong Communication Foundation Use the Right Collaboration Tools Create an Inclusive Team Culture Hire for Remote-Friendly Qualities Focus on Employee Well-Being Measure Team Performance Effectively Prioritize Security and Data Protection Choose a Collaborative AI Platform Stay on Top of Code Reviews 1. Establish a Strong Communication Foundation Communication is the lifeline of any remote-first tech team. Ensuring that everyone stays connected and informed requires a blend of asynchronous and real-time communication tools. As a startup CTO, consider investing in: Slack or Microsoft Teams for real-time messaging and updates. Zoom or Google Meet for video calls, meetings, and check-ins. Loom for recording walkthroughs and sharing asynchronous video updates. The key to building a cohesive team is setting clear expectations about how and when different tools should be used. Creating guidelines for communication not only helps streamline workflow but also reduces burnout by ensuring team members can disconnect after work hours. 2. Use the Right Collaboration Tools Your tech stack is crucial to enabling effective collaboration among remote engineers. Select tools that encourage transparency and make collaboration as seamless as possible. Here are some must-have tools for remote-first tech teams: GitHub or GitLab for version control and managing code collaboratively. Jira or Linear for tracking tasks and sprint planning. Confluence or Notion for documenting processes, creating shared knowledge bases, and improving accessibility to resources. A well-documented codebase and clearly defined processes empower developers to operate independently, minimizing bottlenecks and improving productivity. 3. Create an Inclusive Team Culture Fostering an inclusive and collaborative culture is essential to the success of a remote-first team. This starts with ensuring all voices are heard, regardless of geographic location. Here are a few tactics that can help: Regular Virtual Meetups : Schedule weekly check-ins or team-building events where team members can share updates, ask questions, and bond. Async Standups : Consider using tools like Geekbot to automate daily standups, enabling each member to share their progress and blockers asynchronously. Recognition and Feedback : Use platforms like 15Five to gather feedback and recognize individual contributions. It helps foster a positive work environment where team members feel valued. 4. Hire for Remote-Friendly Qualities Hiring for a remote-first tech team requires different criteria compared to an on-site environment. It’s crucial to look for qualities such as excellent written communication, self-motivation, and the ability to work autonomously. During the interview process, assess candidates for their comfort level with remote work by asking questions about their previous remote experiences, how they manage their time, and how they communicate asynchronously. Tools like HireVue can assist in conducting initial screenings through video interviews, allowing you to see how well candidates adapt to remote-first communication. Remember, some people thrive on the office atmosphere and are less efficient working from home, surrounded by distractions ranging from laundry to kids. Ask for an honest self-assessment: where do you perform better? When working from home, what does your day look like? 5. Focus on Employee Well-Being Employee well-being is fundamental for retaining top talent in a remote-first setup. As a startup CTO, your team's health should be a priority. Encourage employees to establish work-life balance, take breaks, and avoid overworking. Here are some ways to promote well-being: Flexible Work Hours : Give your team flexibility to work when they are most productive, keeping in mind that different time zones require adjustments. Wellness Programs : Platforms like Headspace or Calm can offer resources to help employees reduce stress and improve their mental health. No-Meeting Days : Designate a day of the week for no meetings to help everyone focus on deep work without interruptions. Context switching is a huge productivity killer. 6. Measure Team Performance Effectively Measuring performance in a remote-first environment can be tricky. Instead of relying on metrics like hours worked, focus on output-based performance indicators. Use tools like GitPrime to understand productivity metrics without micro-managing. Set clear, outcome-based goals for each team member and evaluate success based on these targets. Regular one-on-ones are also key for providing guidance, discussing blockers, and keeping each team member aligned with the broader business goals. 7. Prioritize Security and Data Protection Security is a non-negotiable aspect of building a remote-first tech team. Your remote employees will be accessing company resources from various locations, which presents unique challenges in terms of data protection. VPN and Endpoint Protection : Make sure that your team uses a secure VPN and endpoint protection software when accessing company servers. Password Managers : Tools like 1Password or LastPass can help keep team credentials secure. Multi-Factor Authentication : Enforce MFA to ensure that access to sensitive data is protected. Establishing best practices for security and ensuring that everyone understands the importance of cybersecurity is critical to preventing data breaches and protecting your business. 8. Choose a Collaborative AI Platform Selecting the right AI platform is essential for boosting productivity and collaboration among your remote team. Fine is designed specifically for teams, offering seamless integration with tools like Linear and GitHub, making it ideal for remote work. Unlike IDE-based AI assistants that are more suited for solo developers, Fine provides an all-in-one AI coding agent that enhances teamwork and accelerates startup growth. 9. Stay on Top of Code Reviews When working remotely, it can be easy for developers to finish writing code and leave it sitting, waiting for review for days or even weeks. Code reviews are essential for maintaining quality and ensuring knowledge sharing across the team. Use tools like Linear and GitHub to keep track of open tickets and close them efficiently. Setting up automated reminders for reviewers can help ensure that reviews are completed promptly, keeping the team moving forward and avoiding bottlenecks. Conclusion Building a remote-first tech team as a startup CTO is no easy feat, but with the right tools and strategies, it can lead to a more diverse and efficient development team. By focusing on communication, collaboration, culture, and security, you can create an environment where your remote team can thrive and innovate. The success of a remote-first team lies not just in the tools you use, but in how you nurture your team culture and make everyone feel connected despite the distance. Start small, iterate, and adapt as you learn more about your team’s needs—that’s how you’ll build a resilient and agile remote-first team ready for anything. Are you looking to streamline your development processes with collaborative AI coding? Discover how Fine can help your remote team collaborate better to ship software and boost productivity. Sign up today and see what AI-driven development can do for you! 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 | 2026-01-13T08:49:35 |
https://dev.to/resumemind | Resumemind - 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 Resumemind Helping software developers and other related tech experts like project managers, QA, businesses analysts crafting their tech resumes for their next job applications. Joined Joined on Jan 4, 2026 Personal website https://resumemind.com More info about @resumemind 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 Post 7 posts published Comment 1 comment written Tag 0 tags followed How to Write a Resume That Gets Interviews (Not Rejections) Resumemind Resumemind Resumemind Follow Jan 12 How to Write a Resume That Gets Interviews (Not Rejections) # career # interview # tutorial Comments Add Comment 3 min read Want to connect with Resumemind? 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Sign in How I Built a Manual Resume Review System with Spring Boot & Angular Resumemind Resumemind Resumemind Follow Jan 12 How I Built a Manual Resume Review System with Spring Boot & Angular # showdev # angular # career # springboot Comments Add Comment 3 min read I Reviewed 50 Junior Developer Resumes — Here’s What Actually Works Resumemind Resumemind Resumemind Follow Jan 9 I Reviewed 50 Junior Developer Resumes — Here’s What Actually Works # beginners # career # codenewbie Comments 3 comments 2 min read How to Write a Resume With No Work Experience (Fresh Graduate Guide for 2026) Resumemind Resumemind Resumemind Follow Jan 8 How to Write a Resume With No Work Experience (Fresh Graduate Guide for 2026) # beginners # career # tutorial Comments Add Comment 3 min read How to Negotiate Your Software Developer Salary in 2026 (Without Losing the Offer) Resumemind Resumemind Resumemind Follow Jan 6 How to Negotiate Your Software Developer Salary in 2026 (Without Losing the Offer) # career # softwaredevelopment # tutorial 4 reactions Comments Add Comment 3 min read How to Create a Software Developer Resume That Attracts Tech Companies Resumemind Resumemind Resumemind Follow Jan 5 How to Create a Software Developer Resume That Attracts Tech Companies Comments Add Comment 4 min read How to Get a Remote Job as a Junior Software Developer (Step-by-Step Guide) Resumemind Resumemind Resumemind Follow Jan 4 How to Get a Remote Job as a Junior Software Developer (Step-by-Step Guide) # remotejob # softwaredevelopment # jobsearching # techjob 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://www.devcycle.com/features/realtime-updates | Realtime Updates | DevCycle Product Solutions Resources Pricing Docs Book Demo Login Create Account See Feature Changes in Real Time Realtime Updates enable the ability to instantly modify features without requiring users to refresh a page or restart an application. Features can be launched, modified, or disabled instantaneously. Explore Docs Create Account Instant feature updates, no user actions required Seamless User Experiences With Realtime Updates, your users never have to refresh a page, restart, or update an application to start using a new feature. Faster Development Time Realtime Updates allow for a much faster development time. Gone are the days when extra compilation is needed from your team to test out various variable values. Instant Feature Updates for Users Realtime Updates deliver any changes, modifications or feature upgrades to users immediately – even if an application or website is open at the time of the change. Feature Failure Mitigation In the event of a broken or failing feature, Realtime Updates enable DevCycle's kill switch to turn it off on instantly without user action – mitigating poor user experience. Realtime Feature Updates Instantly Update Features Changes to your app or page are instant with Realtime Updates. All users, even those on long-running devices, always have the most up-to-date experience, without needing to update or restart apps, or refresh pages. Quick fixes for risk mitigation Squash Buggy Features If a feature isn't working right, activate DevCycle's Kill Switch while you work on a fix, and realtime Updates will ensure users receive a stable version of your feature without reloading the page or app. DevCycle allows you to separate deployment from releases so you can resolve issues faster and re-enable features whenever they're ready. Fast Deployment Faster Development and Testing Speed up development and QA testing by modifying variables in DevCycle while testing a feature and see updates in realtime. Footer DevCycle What are Feature Flags? OpenFeature Create a Free Account Request a Demo Pricing Resources Documentation SDKs APIs Integrations Blog Contact Support Company About Us Careers Terms of Service Security & Compliance Privacy Policy Contact Us Discord X GitHub LinkedIn Bluesky © 2026 DevCycle All rights reserved. | 2026-01-13T08:49:35 |
https://dev.to/copyleftdev/the-most-underrated-tool-in-your-dev-toolbox-pre-commit-hooks-yes-that-20-year-old-git-feature-19oi | The Most Underrated Tool in Your Dev Toolbox: Pre-Commit Hooks (Yes, That 20-Year-Old Git Feature) - 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 Mr. 0x1 Posted on Dec 14, 2025 The Most Underrated Tool in Your Dev Toolbox: Pre-Commit Hooks (Yes, That 20-Year-Old Git Feature) # webdev # devops # programming # software Look, I've been slinging code for longer than I care to admit, and one thing never fails to blow my mind: teams dropping serious cash on massive CI pipelines just to catch the dumbest mistakes imaginable. We're out here pushing broken code on purpose, waiting for GitHub Actions or some cloud runner to slap our wrists and say "bad developer." It's like paying a bouncer to tell you your shoes are untied after you've already tripped down the stairs. There's a better way. A way that's instant, local, free, and doesn't make you wait eight minutes to learn that ESLint is mad at you again. It's called pre-commit hooks . And yeah, they're ancient. But they're also brutally effective. What the Heck Is a Pre-Commit Hook, Anyway? At its core, a pre-commit hook is just a script that Git runs right before it seals the deal on your commit. Script exits with code 0 → Commit goes through. Script exits with anything else → Commit aborted. Fix your mess. No YAML hell. No spinning runners. No "let's push to main and see what breaks." Just pure, local enforcement. The Real Cost of "We'll Catch It in CI" We've normalized this weird ritual where basic quality checks happen after the code's already in the repo. Here's what that actually costs you: Problem Caught Where? Real Cost Formatting issues CI Minutes per PR, endless nitpicks Linting failures CI Cloud minutes, context switches Type errors CI Interrupted flow Leaked secrets CI Potential breaches (too late!) OpenAPI drift CI Broken contracts downstream Stale generated code CI Rework and blame games Every single one of these can—and should—be caught in milliseconds on your machine. CI is for verification. Pre-commit is for prevention . Shifting Left... Like, Way Left Pre-commit hooks are the earliest possible gate in your entire development lifecycle. They run before: The PR exists CI spins up Reviews happen Anything deploys Incidents occur You're enforcing standards at the exact moment your intent turns into code. That's power. A Dead-Simple But Devastating Setup Here's a minimal pre-commit hook that'll instantly level up your project. Drop this into .git/hooks/pre-commit : #!/usr/bin/env bash set -e echo "🤠 Hold up, partner—running the gauntlet..." npm run lint || { echo "🚨 Lint's not happy. Fix it." ; exit 1 ; } npm run format:check || { echo "🧹 Formatting's a disaster." ; exit 1 ; } npm run typecheck || { echo "🔥 Types are throwing hands." ; exit 1 ; } npm test -- --runTestsByPath $( git diff --cached --name-only ) || { echo "🧪 Tests failed on changed files." ; exit 1 ; } echo "✅ All clear. Commit away, legend." Enter fullscreen mode Exit fullscreen mode Make it executable: chmod +x .git/hooks/pre-commit Enter fullscreen mode Exit fullscreen mode Boom. You've now enforced: Linting Formatting Type safety Targeted tests on changed files All for the low price of absolutely nothing. Stop Committing Secrets Before They Even Exist This one pays for itself the first time it saves your bacon. Add this to your hook: if git diff --cached | grep -E "(AWS_SECRET|API_KEY|PRIVATE_KEY|PASSWORD)" ; then echo "🚨 Whoa there—looks like a secret's trying to escape. Commit aborted." exit 1 fi Enter fullscreen mode Exit fullscreen mode CI detecting secrets post-commit? That's already game over. The commit exists. The damage is done. The Sleeper Hit: Hooks as Architecture Enforcement This is where pre-commit hooks go from "nice to have" to "how did we live without this?" Use them to enforce contracts across your codebase: Touch openapi.yaml ? Auto-regenerate clients and fail if they're stale. Add a migration without a down file? Nope. Bump version without changelog entry? Try again. Example for OpenAPI: if git diff --cached --name-only | grep openapi.yaml ; then echo "🔄 Regenerating clients..." make generate-clients if ! git diff --quiet ; then echo "❌ Generated clients are out of date. Stage them!" exit 1 fi fi Enter fullscreen mode Exit fullscreen mode No more PR comments. No CI failures. No "wait, why is the client broken?" Just correct-by-construction development. Pre-Commit vs CI: It's Not Even Close Factor Pre-Commit Hooks CI Pipelines Feedback speed Instant Minutes Cost Free $$$ (cloud minutes) Developer focus Preserved Interrupted Enforcement Hard stop Advisory (often ignored) Works offline Yes No CI says: "Hey, you messed up." Pre-commit says: " No. Fix it right now." "But Devs Can Bypass It With --no-verify!" Sure. And the same person would've skipped CI checks too. Hooks aren't about stopping determined chaos agents. They're about making the right path the default path for everyone else. You can't accidentally bypass a hook. That's the point. It's a Culture Thing Rolling out pre-commit hooks sends a message: We respect your time We don't outsource basic discipline to cloud services We prevent problems instead of reacting to them We value correctness over vanity velocity metrics That's mature engineering. The Iron Law of Pre-Commit Hooks If it's cheap to check and expensive to fix later, it belongs in a pre-commit hook. Full stop. Final Thoughts We're all sleeping on pre-commit hooks because they're old, boring, and don't have a SaaS dashboard with pretty graphs. But they work. They've always worked. And they quietly save teams thousands in CI minutes, review cycles, incident response, and developer burnout. Next time you're about to add another GitHub Action for something basic, stop. Write a hook instead. Your future self will thank you. Your teammates will thank you. Your cloud bill will thank you. Now go forth and hook responsibly 🤠 Note: For larger teams, consider using the pre-commit framework—it manages hooks across repos and makes sharing configs easy. But even plain Git hooks are a massive win. Top comments (3) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Sloan the DEV Moderator Sloan the DEV Moderator Sloan the DEV Moderator Follow I help moderate content and welcome new users to this platform. I also ask questions on behalf of members looking for advice from the community. Email sloan@dev.to Work The Practical Sloth Joined Aug 25, 2017 • Dec 23 '25 Dropdown menu Copy link We loved your post so we shared it on social. Keep up the great work! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Ashley Childress Ashley Childress Ashley Childress Follow Distributed backend specialist. Perfectly happy playing second fiddle—it means I get to chase fun ideas, dodge meetings, and break things no one told me to touch, all without anyone questioning it. 😇 Location Georgia, United States Education University of West Georgia Pronouns She/Her Work SSE @ Home Depot, 7+ years Joined May 30, 2025 • Dec 19 '25 Dropdown menu Copy link Hide I literally just had this exact same conversation today! But that went something like, "remember that thing I've been threatening for months? It just took priority level equivalent to a Friday hotfix!" Although, I much prefer the yaml 2nd hell circle version in Lefthook over the 5th layer in pre-commit. Another thing I've surprisingly normalized recently? Makefiles . 😆 Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Mr. 0x1 Mr. 0x1 Mr. 0x1 Follow Work * Joined Nov 4, 2022 • Dec 19 '25 Dropdown menu Copy link Hide Absolutely yes to Makefiles. I use them everywhere. 😄 Like comment: Like comment: 2 likes Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Mr. 0x1 Follow Work * Joined Nov 4, 2022 More from Mr. 0x1 I wrote a Vibe Check for your code (Runs on a Potato 🥔) # zig # cli # devops # humor Project Corsa: The Untold Story of TypeScript 7 (A Git Forensic Thriller) # typescript # go # webdev # performance Building a Blazing Fast CI Engine in Rust (That Dogfoods Itself!) 🦀⚡ # rust # devops # engineering 💎 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/ai-coding-tools-all#mutable-ai | The Top AI Coding Tools and Assistants in 2024 Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back The Top AI Coding Tools and Assistants in 2024 Do you find yourself going crazy with all the different AI coding tools available? There are so many (here we list 32, but more are announced every week), it's hard to cut through the noise and understand which are the most useful AI coding tools. One thing is for certain: in today's fast-evolving software development landscape, AI coding tools are becoming essential for enhancing productivity, streamlining workflows, and improving code quality. Startups and agencies are looking to adopt the best AI coding tool to help them ship faster, better software and gain a competitive edge. This guide reviews 32 AI coding assistants available in 2024, discussing their features, pricing, and accessibility. Of course, we encourage you to check out Fine , the end-to-end AI coding tool designed to slot in to your team's collaborative workflows. Whilst many of the platforms listed focus on one aspect (code gen, testing, etc) - Fine is the AI Coding tool offering it all. Table of Contents Introduction Top 32 AI Coding Tools and Assistants Available for Immediate Use Fine.dev GitHub Copilot ChatGPT Amazon CodeWhisperer Tabnine Replit AI (Ghostwriter) Codiga Sourcery DeepCode (Snyk) CodeWP AIXcoder Cody (Sourcegraph) Figstack Android Studio Bot Amazon CodeGuru Security Mutable AI Ponicode Otter.ai Snyk Cursor Bolt Codium Qodo Void Editor Honeycomb Pear AI Magic AlphaCode Code Llama StableCode Visual Copilot Devin Conclusion FAQs Introduction Artificial Intelligence (AI) has revolutionized software development, with a plethora of coding tools now available to assist developers. Whether it's automating repetitive tasks, suggesting code improvements, or enhancing security, AI coding assistants have something to offer for every level of developer. Top 32 AI Coding Tools and Assistants Here’s a comprehensive list of the top AI coding assistants in 2024, divided into categories based on availability. Available for Immediate Use Fine - End-to-end AI coding assistant for every stage of the dev lifecycle, with full context awareness. Fine learns your codebase via the GitHub integration to minimize errors and maximize usefulness. It can turn issues into PRs; add docs, tests and logs; answer questions about your code; make revisions to PRs or summarize them; review your code and more. Based in the cloud, it's available via mobile as well as desktop. GitHub Copilot – Offers real-time code suggestions using OpenAI Codex. It helps developers write code more efficiently by predicting entire lines or blocks of code based on the context and the developer's intent. GitHub Copilot supports a wide range of programming languages and is integrated into popular development environments like Visual Studio Code, making it accessible and easy to use. Available plans start at $10/month. Pricing : $10/month (individual), $19/month (business) ChatGPT – Versatile AI assistant capable of code generation and debugging. A free version is available, while ChatGPT Plus costs $20/month. ChatGPT doesn't integrate with your codebase, so you'll need to copy and paste between your editor and the site. Pricing : Free, $20/month for Plus Amazon CodeWhisperer – Integrates seamlessly with AWS services, providing real-time code completions. Free tier available; Pro plan starts at $19/user per month. Pricing : Free, $19/user per month for Pro Tabnine – AI-powered code completion with a focus on privacy. Pricing : Free, $12/month for Pro Replit AI (Ghostwriter) – Collaborative cloud-based IDE offering code generation and debugging features, particularly useful for those with no coding experience or already using Replit. Pricing : $10/month for Core, $33/user per month for Teams Codiga – Real-time static code analysis tool with a free tier; Pro plan costs $14/month. Pricing : Free, $14/month for Pro Sourcery – AI code reviewer. Improves code quality through automated refactoring. Uses GPT4-turbo Pricing : Free for open-source, $12/month for Pro DeepCode (Snyk) – Detects security vulnerabilities in real-time. Free for individuals, with team plans starting at $27/month. Pricing : Free for individuals, $27/month per user CodeWP – AI-powered code generator specifically for WordPress. Pricing starts at $18/month. Pricing : Free, $18/month for Pro AIXcoder – Offers intelligent code completion with support for multiple IDEs. Free and custom enterprise plans available. Pricing : Free, custom pricing for enterprises Cody (Sourcegraph) – Supports project-wide code assistance, offering features like code navigation, large-scale search, and contextual help across entire projects, ensuring that developers can maintain consistency and quality across their entire codebase. Pricing : Free option available, paid plans start at $9 per month. Figstack – Assists with code documentation and optimization, priced at $10/month after a free trial. Pricing : $10/month after free trial Android Studio Bot – Available for free as part of Android Studio. Pricing : Free Amazon CodeGuru Security – Helps optimize code security, free for the first 90 days. Post-trial pricing is $10/month. Pricing : $10/month after first 90 days Mutable AI – Creates a wiki for your codebase. Pricing : Free for open source, basic plan starts at $2 per month. Snyk – Offers code and dependency vulnerability detection. Free for individuals; team plans start at $25/month. Pricing : Free for individuals, $27/month for teams Cursor – Cursor is a powerful AI coding assistant designed to streamline the software development process by providing intelligent code completions, contextual code suggestions, and explanations. It supports a wide range of programming languages and integrates smoothly with popular IDEs, making it an efficient tool for both individual developers and teams. Cursor aims to enhance productivity by reducing the time spent on repetitive coding tasks, offering automated code fixes, and facilitating collaboration. Free for basic use; premium features pricing varies. – Free for basic use; premium features pricing varies. Pricing : Varies Bolt – Although commonly described as a Cursor and V0 killer, Bolt seems to be a ChatGPT for front-end development. It's built by Stackblitz, the cloud-based web-development platform that lets you write, run and debug frontend code in your browser. Pricing : Free to start with paid subscriptions available in the app. Codeium – In-IDE AI coding assistant. Offers autocomplete, chat, and inline commands. Pricing : Free plan available, paid plans start at $10 per month. Qodo – AI coding tool that emphasis quality code, helping developers generate, test and review code. Pricing : Free version available, or $19 per month. Enterprise options available. Void Editor – Void describe themselves as an Open-Source alternative to Cursor offering greater privacy. Their logo seems similar to squarespace. Offers the ability to use the tab button to autocomplete the code you're writing - similar to GitHub Copilot. Waitlist access only, no pricing information available. Honeycomb – AI coding tool announced in August 2024 as a YC-backed startup, but the announcement and website have since disappeared. Still viewable on X . Pear AI – AI-powered coding assistant focused on improving development workflows, available at Pear AI. Built as a fork of Continue, which is a fork of VSCode, leading to controversy during their launch. Pricing : Free plan available requiring your own API keys. "Junior" plan for $15 per month includes limited credits for Claude and GPT4o with more credits available for purchase.. Magic – Requires a waitlist to access during the early access phase. AlphaCode – Limited to research and special projects. Code Llama – Open-source, but some hosted services may be restricted. Stable Code Alpha – Available as part of stability.ai membership. Visual Copilot – AI coding assistant for design-to-code. Import designs from Figma and turn into code. Free plan available with 4K context window and 20 code generations; Basic plan $19 per month, Growth plan $39 per month. Devin – Available only in early access; requires joining the waitlist. Conclusion AI coding tools continue to evolve, offering unique features to boost developer productivity. From real-time code suggestions to comprehensive security checks, developers can choose from a variety of options based on their needs and budget. FAQs Q: Are there any free AI coding tools? A: Yes, many tools offer free tiers or trials, including Fine. Q: How can I access Devin or Magic? A: Both tools require joining a waitlist for early access. Q: Are these tools suitable for beginners? A: Yes, many of these tools cater to all skill levels, providing resources and support for new developers. Important note: Information about platforms, their availability, features and pricing, is based on an automated internet search and may be inaccurate or out-of-date. Last updated: 2024-10-10 Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:35 |
https://open.forem.com/ava_mendes/energia-solar-mercado-livre-para-mei-requisitos-tecnicos-em-2025-1l6a#comments | Energia Solar + Mercado Livre para MEI: Requisitos Técnicos em 2025 - Open 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. 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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 Open Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Ava Mendes Posted on Dec 25, 2025 Energia Solar + Mercado Livre para MEI: Requisitos Técnicos em 2025 # freelance # news # security Energia Solar + Mercado Livre para MEI: Requisitos Técnicos em 2025 Se você é MEI e está pensando em instalar energia solar ou migrar para o mercado livre de energia, precisa saber: as regras mudaram em 2025 . A nova NBR 17193:2025 estabeleceu requisitos de segurança muito mais rigorosos para sistemas fotovoltaicos, e a padronização dos processos de conexão pelas distribuidoras criou tanto oportunidades quanto exigências técnicas que você não pode ignorar. Neste guia prático, você vai descobrir exatamente o que é necessário para implementar energia solar ou portabilidade no seu negócio, quais normas aplicam, quanto tempo leva e — o mais importante — como evitar erros caros que comprometem sua economia. NBR 17193:2025: A Nova Realidade da Segurança Fotovoltaica A ABNT publicou em fevereiro de 2025 a NBR 17193:2025, uma norma que mudou significativamente o cenário da geração solar distribuída no Brasil. Essa norma é obrigatória para todos os novos sistemas fotovoltaicos conectados à rede, incluindo pequenas instalações em telhados de MEIs. O que mudou na prática? Antes, muitos requisitos eram opcionais. Agora, são mandatórios: Proteção contra falhas à terra com dispositivos específicos Disjuntores e fusíveis em corrente contínua (não é o disjuntor comum da sua casa) Aterramento conforme NBR 5410 e proteção contra surtos (NBR 5419) Afastamentos mínimos entre subarranjos e barreiras corta-fogo Documentação técnica completa entregue ao cliente: diagramas, certificados, laudos de testes, manual de operação Essa elevação de padrão é positiva para segurança, mas significa que você não pode simplesmente chamar "um eletricista" para instalar painéis. Precisa de um engenheiro eletricista registrado no CREA que elabore o projeto conforme NBR 16690:2019 e emita a Anotação de Responsabilidade Técnica (ART). NBR 16690: O Projeto Técnico Obrigatório A NBR 16690:2019 é a norma que define como projetar sistemas fotovoltaicos conectados à rede. Ela estabelece: Dimensionamento correto de módulos, inversores e cabos Especificação de proteções elétricas adequadas Cálculo de aterramento Toda a documentação técnica necessária Para um MEI, isso significa: você não pode instalar energia solar por conta própria ou com mão de obra desqualificada. A lei exige projeto de engenheiro, ART de projeto e ART de execução. A distribuidora não homologa sistemas sem essa documentação. O tempo para elaborar um projeto é tipicamente 2 a 4 semanas , dependendo da complexidade. Depois, você envia à distribuidora, que analisa em cerca de 15 dias (prazo típico em 2025, com tendência de padronização). NR-10: Quem Pode Instalar? A Norma Regulamentadora 10 (NR-10) estabelece que qualquer trabalho com eletricidade — incluindo montagem de sistemas fotovoltaicos — deve ser executado por profissional habilitado, capacitado e autorizado . Isso significa: Treinamento formal em eletricidade e segurança Conhecimento específico de normas técnicas Uso de equipamentos de proteção individual (EPI) Atuação sob responsabilidade de engenheiro registrado Para o MEI: contratar um instalador "amigo" ou sem qualificação formal viola a NR-10 e coloca você em risco legal, além de comprometer a segurança da instalação. A distribuidora pode rejeitar a homologação se constatar falta de conformidade com NR-10. Lei 14.300/2022: O Marco Legal da Geração Distribuída Essa lei, publicada em janeiro de 2022, é a base legal que permite microgeração (até 75 kW) e minigeração (de 75 kW a 5 MW) distribuída no Brasil. Ela define: Como você compensa energia excedente (sistema de créditos) Cronograma de transição tarifária para uso da rede Direitos e deveres do pequeno gerador Para o MEI de 2025: a Lei 14.300 garante que você pode instalar painéis e injetar energia na rede. Porém, há mudanças nas tarifas de uso da rede (TUSD) que estão sendo implementadas gradualmente. Consumidores que entrarem agora têm condições melhores que novos geradores daqui a alguns anos. Passo a Passo Prático: Como Instalar Energia Solar como MEI 1. Levante Seu Consumo e Perfil Reúna as faturas de energia dos últimos 12 meses. Identifique: Consumo médio mensal (kWh) Valor médio da conta (R$) Picos de consumo (há sazonalidade?) Horários de operação do seu negócio Tempo: 1-7 dias Documentos: Faturas de energia + dados do imóvel 2. Consulte a Distribuidora Entre em contato com sua distribuidora local e solicite o manual técnico de acesso para microgeração distribuída . Cada distribuidora tem formulários e requisitos específicos, mas em 2025 há uma tendência de padronização nacional. Pergunte: Qual é o procedimento exato para sua região? Quais formulários precisam ser preenchidos? Qual é o prazo estimado de análise? Tempo: 1-5 dias Documentos: Número da unidade consumidora, dados do titular 3. Contrate Responsável Técnico Habilitado Procure empresa ou profissional que possua engenheiro eletricista registrado no CREA . Verifique: Se emitem ART de projeto e de execução Se conhecem NBR 16690, NBR 17193, NBR 5410 e NBR 5419 Se acompanham o processo de homologação junto à distribuidora Peça referências e orçamentos de pelo menos 2-3 fornecedores. Tempo: 1-3 semanas Documentos: Dados cadastrais, fotos e medições do local 4. Elabore o Projeto Conforme Normas O engenheiro vai desenvolver: Diagrama unifilar do sistema Memorial descritivo Certificados de todos os equipamentos Análise de risco de incêndio (NBR 17193) ART de projeto assinada Isso é não-negociável. A qualidade do projeto determina se a distribuidora aprova. Tempo: 2-4 semanas Custos: Variam, mas é um investimento essencial 5. Protocole na Distribuidora Envie o projeto completo com ART e formulários preenchidos. A distribuidora analisa em torno de 15 dias (prazo típico em 2025). Pode haver pedidos de complementação — responda rapidamente. Tempo: 15-30 dias Documentos: Projeto, ART, formulários, dados do titular 6. Execução e Comissionamento Após aprovação, o instalador executa a obra seguindo o projeto. Ao final: Testes elétricos e de desempenho Laudos de conformidade Manual de operação e manutenção Roteiro de desligamento de emergência (segurança) A NBR 17193:2025 exige toda essa documentação entregue ao cliente. Tempo: 3-10 dias de instalação + testes 7. Avalie Alternativas: Solar por Assinatura Antes de decidir por instalação própria, considere energia solar por assinatura . Você não investe em painéis, mas recebe créditos de usinas remotas. Vantagens: Zero investimento inicial em equipamentos Sem obras no imóvel Sem necessidade de projeto com ART Sem complexidade técnica Economia imediata Para MEIs com consumo baixo ou que mudem frequentemente de endereço, essa pode ser a opção mais prática. Microgeração vs. Energia Solar por Assinatura: Qual Escolher? Critério Microgeração Própria Solar por Assinatura Investimento inicial Alto (R$ 15k-40k+) Nenhum Projeto com ART Obrigatório Não necessário Complexidade técnica Alta Baixa Prazo para economizar 60-90 dias (ativação) Imediato Propriedade do ativo Sim, você é dono Não, é da empresa Prazo de retorno 5-8 anos N/A (sem investimento) Ideal para MEIs com horizonte longo no imóvel MEIs com consumo baixo ou alta mobilidade Para MEIs de baixo consumo (até R$ 200-300/mês), energia solar por assinatura costuma fazer mais sentido. Para MEIs de consumo maior que planejam ficar no mesmo local por anos, microgeração própria compensa no longo prazo. Portabilidade de Energia: Uma Alternativa Complementar Você também pode combinar microgeração com portabilidade de energia — migrar para fornecedor de energia 100% renovável no mercado livre. Isso é diferente de instalar painéis: você continua usando a rede da distribuidora, mas compra energia de outro fornecedor. A portabilidade oferece: Até 20% de economia para consumidores de baixa tensão (Grupo B) Preço único durante todo o dia (sem bandeira vermelha) Energia 100% renovável (solar e eólica) Processo 100% digital e gratuito Plataformas como energialex.app simplificam essa migração. Você faz simulação gratuita em 2 minutos, envia uma foto da sua conta de energia e assina digitalmente. A ativação leva 60-90 dias, e você acompanha tudo pelo app. Vantagem: não requer projeto técnico, ART ou engenheiro. É muito mais simples que instalar painéis, e a economia começa assim que o contrato ativa. Dúvidas Frequentes P: A NBR 17193:2025 é obrigatória mesmo para sistemas pequenos em telhado? R: Sim. A norma se aplica a todos os novos sistemas fotovoltaicos conectados à rede , independentemente do porte. Fontes técnicas especializadas confirmam que não há exceção para microgeração de pequeno porte. A obrigatoriedade começou em fevereiro de 2025. P: Posso contratar qualquer eletricista para instalar meu sistema? R: Não. O projeto precisa ser assinado por engenheiro eletricista com registro no CREA e ART. A instalação deve ser executada por profissional capacitado conforme NR-10. Contratar profissional desqualificado coloca você em risco legal e pode resultar em rejeição pela distribuidora. P: Quanto tempo leva do projeto até economizar? R: Tipicamente, 60-90 dias após aprovação na distribuidora. O processo é: levantamento (1-2 semanas) → projeto (2-4 semanas) → análise distribuidora (2-4 semanas) → instalação (1-2 semanas) → ativação (até 30 dias). Total: 3-4 meses. P: Vale a pena para MEI com consumo baixo? R: Depende. Se seu consumo é menor que R$ 200/mês, energia solar por assinatura ou portabilidade podem ser mais vantajosas. Se é R$ 300-500/mês e você fica no mesmo local por 5+ anos, microgeração própria compensa. Tendências 2025: O Que Esperar Padronização de requisitos de acesso: Distribuidoras estão harmonizando formulários e prazos. Isso reduz incertezas e burocracia para pequenos geradores. Maior rigor em segurança: NBR 17193 eleva padrões, mas protege você e sua propriedade contra riscos de incêndio. Crescimento de energia solar por assinatura: Modelos de baixo investimento ganham espaço entre MEIs, oferecendo economia sem complexidade técnica. Abertura gradual do mercado livre: Discussões regulatórias indicam ampliação futura para pequenos consumidores de baixa tensão, criando novas oportunidades de economia. Conclusão: Comece Agora, mas Comece Certo A energia solar e a portabilidade de energia são ferramentas reais para economizar na conta de luz. Mas em 2025, não é mais possível improvisar. As normas técnicas, as exigências das distribuidoras e a complexidade regulatória exigem planejamento cuidadoso. Seu passo inicial: avalie qual modelo faz mais sentido para seu MEI: Microgeração própria (investimento maior, economia de longo prazo) Energia solar por assinatura (sem investimento, economia imediata) Portabilidade de energia (mudança de fornecedor, economia rápida) Se você quer explorar a portabilidade — que é a opção mais simples e rápida — energialex.app oferece simulação gratuita em menos de 2 minutos. Não custa nada verificar quanto você pode economizar, e o processo é 100% online, sem burocracia e sem compromisso. Muitos MEIs estão descobrindo que podem reduzir a conta de luz em até 20% apenas mudando de fornecedor. Qualquer que seja sua escolha, o momento é agora. As tarifas de energia seguem subindo, e as oportunidades para pequenos negócios economizarem estão mais acessíveis que nunca em 2025. Metadados Sobre a autora Ava Mendes é especialista em energia renovável e economia doméstica. Ajuda consumidores residenciais e empresariais a reduzirem custos com eletricidade através de portabilidade de energia. Conheça soluções gratuitas em energialex.app Descubra como economizar em energialex.app Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Ava Mendes Follow ⚡ Especialista em portabilidade de energia elétrica | Fundadora @ energialex.app | Ajudo brasileiros a economizarem até 20% na conta de luz | Energia limpa, economia inteligente e sustentabilidade Location Brasil Joined Oct 20, 2025 More from Ava Mendes MP 1.300/2025: o que muda no mercado livre de energia até 2027 # discuss # news 💎 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 Open Forem — A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here 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. 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https://open.forem.com/qwegle_insights/why-indias-gig-worker-strike-is-about-technology-k49 | Why India’s Gig Worker Strike Is About Technology - Open 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. 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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 Open Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Qwegle Tech Posted on Dec 31, 2025 Why India’s Gig Worker Strike Is About Technology # gig # gigworkers # company # news Introduction At first glance, India’s gig worker strike appears to be another labour dispute. Delivery partners logging out of apps. Orders are slowing down. Public demands for higher pay and better conditions. But look closer, and a deeper story emerges. This is not only a protest against wages. It is a response to how technology defines the pace of modern work. It is about software systems that promise speed to customers while quietly transferring pressure onto human bodies. And it is about how design decisions made inside platforms ripple outward into streets, traffic, and daily life. When gig workers step away from their phones, they are not rejecting technology. They are questioning how it is being used. Where the Strike Began to Make Sense Delivery partners working with platforms like Swiggy , Zomato , and Amazon delivery services did not arrive at this moment overnight. For months, workers across cities reported shrinking incentives, rising fuel costs, and tighter delivery expectations. What finally brought attention was the demand to remove ultra-fast delivery options. This request was not symbolic. It was deeply practical. Fast delivery is not just a promise made in marketing campaigns. It is a technical setting. It lives inside routing algorithms, time estimates, and performance scoring systems. Once speed becomes a selling point, the system must enforce it. And enforcement is carried out by code. How Platforms Set the Rhythm of Work Behind every delivery notification is a complex technological system. Platforms track traffic patterns, order density, customer behaviour, and individual worker history in real time. Algorithms decide who gets assigned what order, how long the delivery should take, and how performance is evaluated. For gig workers, the app becomes more than a tool. It becomes a silent supervisor. Accept too slowly, and future orders may decline. Miss a delivery window, and incentives disappear. Declining tasks repeatedly, and visibility within the system drops. None of this is shouted. It is nudged quietly through notifications, timers, and scores. When delivery timelines become tighter, workers feel it immediately. Breaks shorten. Risk increases. What appears to be efficiency on a dashboard can become a strain on the road. Why This Is a Technology Story First This strike matters because it exposes how software design shapes human behaviour. Technology does not simply reflect reality. It constructs it. A ten-minute delivery option exists because teams decided that speed should outweigh other considerations. That decision affects how routes are calculated, how bonuses are structured, and how workers move through cities. When algorithms prioritise speed above safety or sustainability, humans absorb the cost. And unlike software, humans have limits. This is why the strike is about technology as much as labour. It asks a fundamental question. What should systems optimise for? The Promise and Pressure of Flexibility The gig economy was built on the idea of freedom. Work when you want. Choose your hours. Be independent. In practice, flexibility is often shaped by invisible constraints. Peak hour bonuses encourage longer shifts. Acceptance rates affect future task allocation. Declining orders can quietly reduce income opportunities. Gig workers are not saying flexibility is a lie. They are saying it is conditional. When systems tighten, freedom shrinks. The strike brings this tension into the open. Speed Versus Sustainability Fast delivery has become a competitive battleground. Platforms race to outdo one another. Customers grow accustomed to immediacy. But speed has consequences. Roads are unpredictable. Weather changes. Fatigue builds. When systems ignore these realities, risk increases. Gig workers are asking platforms to recognise that sustainability matters. They are not opposing innovation. They are asking for technology that respects human rhythm. That distinction matters. What Responsible Platform Design Looks Like Better technology does not mean slower progress. It means wiser priorities. Routing systems can include safety buffers. Incentives can reward consistency rather than only speed. Earnings models can guarantee minimum stability. Automated penalties can include human review. Transparency is equally important. Workers deserve to understand how payouts are calculated and how performance affects opportunity. When systems feel opaque, trust erodes. Good technology explains itself. It does not hide behind complexity. Qwegle’s Insights At Qwegle , we study how digital systems influence human behaviour long before the effects become visible. The gig worker strike is a clear signal. We see a familiar pattern. Platforms scale efficiency faster than care. Over time, the imbalance becomes visible through burnout, resistance, and public pushback. The companies that will endure are not the ones that push hardest. They are the people who listen, adapt, and design with sensitivity. They view workers as a component of the system, not as variables to be optimized. Technology works best when it helps people, not when it limits them. Why this matters beyond delivery apps This topic extends well beyond food and supplies. The same dynamics are observed wherever algorithms govern human work. Warehousing. Customer support. Content moderation. Even creative work. Anywhere software sets the pace, assigns value, and measures performance; the same question applies. Who benefits from optimisation? Who bears the risk? The gig worker strike is not an isolated event. It is a preview. What the Future Can Look Like There is a different path forward. One where platforms use technology to protect workers as much as customers. Dynamic delivery windows that adjust to real conditions. Safety weighted routing. Clear earning guarantees. Transparent scoring systems. Human oversight where automation falls short. None of this is unrealistic. It requires intention. Technology should expand human capability, not shrink it. Conclusion India’s gig worker strike is not a rejection of progress. It is a call for better progress. It asks platform builders to look beyond growth metrics and consider real-life experience. It reminds designers that speed is not always an improvement. And it shows that when systems forget the human, people eventually push back. When technology listens, trust returns. Contact Qwegle to understand how ethical technology design can shape sustainable platforms and long-term digital trust. 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 Qwegle Tech Follow Building smarter UX for a faster future. Qwegle simplifies tech, design, and AI for the real world. Joined Jun 19, 2025 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Open Forem — A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here 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 . Open Forem © 2016 - 2026. Where all the other conversations belong Log in Create account | 2026-01-13T08:49:35 |
https://www.fine.dev/blog/integrate-ai-technical-guide#pricing | How to Integrate AI into Your Startup: A Technical Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Integrate AI into Your Startup: A Technical Guide for CTOs Table of Contents Define the Use Case for AI Choose Your AI Model Wisely Access and Integrate APIs Consider Latency and Cost for AI Integration Model Customization and Fine-Tuning for AI Infrastructure Considerations for AI Deployment Testing and Monitoring AI Systems Performance Optimization for AI Integration Ensure a Smooth User Experience with AI Leveraging LiteLLM for Seamless AI Integration Potential Challenges and Solutions in AI Integration Conclusion Integrating artificial intelligence into a startup's offerings is a transformative endeavor that enhances user experience and drives innovation. For CTOs aspiring to embed AI-powered features into their products, this guide provides a comprehensive overview of the technical aspects involved in integrating advanced language models such as OpenAI's GPT-4, Anthropic's Claude, and other leading large language models (LLMs). This document will help you navigate the complexities of incorporating AI, ensuring a successful and technically sound transition. 1. Define the Use Case for AI Before embarking on AI integration, it is essential to precisely define the problem that AI will address for your users. Will AI enhance customer support, summarize complex data, or add conversational capabilities? The specific use case will dictate the appropriate AI architecture and integration strategy. For instance, automating customer support might require real-time natural language understanding and response generation, whereas document analysis could involve batch processing and data summarization. Establishing these requirements upfront helps identify the optimal LLM, the necessary tuning, and the appropriate integration model. While anyone can create a chatbot using Retrieval-Augmented Generation (RAG), the distinction lies in how effectively your AI solution addresses genuine user challenges. A sophisticated AI-driven solution, like Fine’s approach, surpasses basic RAG implementations through advanced model fine-tuning, context-aware management, and a comprehensive integration workflow. This ensures that the AI-generated solutions are accurate, pertinent, and aligned with user needs, thereby delivering actionable insights that enhance user productivity and reduce friction. 2. Choose Your AI Model Wisely Selecting an appropriate large language model (LLM) is paramount for the successful integration of AI capabilities. Different LLMs exhibit distinct strengths: OpenAI's GPT-4 is renowned for its versatility, capable of executing complex tasks such as coding assistance, creative content generation, and language translation. This flexibility makes GPT-4 suitable for a wide range of applications. Anthropic's Claude emphasizes safety and controllability, making it a preferred choice for scenarios demanding rigorous risk mitigation, such as minimizing toxic or biased outputs. Cohere, Mistral, and Llama provide specialized models that excel in domains like multilingual support and cost-effective deployment. The selection of an AI model should align with your application's priorities—whether those are accuracy, safety, efficiency, or a combination of these factors. Real-time applications may benefit from models optimized for responsiveness, whereas batch processing tasks might prioritize throughput efficiency. 3. Access and Integrate APIs Most prominent LLMs offer APIs that facilitate straightforward integration, which is crucial for effective AI deployment. Below is a detailed guide on how to integrate these models, including practical code examples. Set up API Access : Obtain API keys from your preferred LLM provider. Providers like OpenAI and Anthropic offer detailed documentation to guide you through the setup of API access and configuration of usage limits. Python Example : import openai openai.api_key = 'YOUR_OPENAI_API_KEY' response = openai.Completion.create( engine="text-davinci-003", prompt="How do I integrate AI into my startup?", max_tokens=150 ) print(response.choices[0].text) Node.js Example : const { Configuration, OpenAIApi } = require("openai"); const configuration = new Configuration({ apiKey: "YOUR_OPENAI_API_KEY", }); const openai = new OpenAIApi(configuration); async function getResponse() { const response = await openai.createCompletion({ model: "text-davinci-003", prompt: "How do I integrate AI into my startup?", max_tokens: 150, }); console.log(response.data.choices[0].text); } getResponse(); Backend Integration : Employ server-side languages like Python, Node.js, or Go to make API requests. Build a middleware layer that manages API requests, processes responses, and handles errors effectively. This middleware should ensure robustness in the face of API downtime and rate limitations. Python Middleware Example : from flask import Flask, request, jsonify import openai app = Flask(__name__) openai.api_key = 'YOUR_OPENAI_API_KEY' @app.route('/ask', methods=['POST']) def ask(): prompt = request.json.get("prompt") try: response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=150 ) return jsonify(response.choices[0].text) except Exception as e: return jsonify({"error": str(e)}), 500 if __name__ == '__main__': app.run(debug=True) Node.js Middleware Example : const express = require('express'); const { Configuration, OpenAIApi } = require("openai"); const app = express(); const configuration = new Configuration({ apiKey: "YOUR_OPENAI_API_KEY", }); const openai = new OpenAIApi(configuration); app.use(express.json()); app.post('/ask', async (req, res) => { const prompt = req.body.prompt; try { const response = await openai.createCompletion({ model: "text-davinci-003", prompt: prompt, max_tokens: 150, }); res.json(response.data.choices[0].text); } catch (error) { res.status(500).json({ error: error.message }); } }); app.listen(3000, () => { console.log('Server is running on port 3000'); }); Optimize API Requests : To manage costs and improve response times, limit the data sent to the LLM by focusing on critical information. For complex queries, implement pre-processing (e.g., data summarization) and post-processing to enhance usability while minimizing the data payload. Python Example for Pre-processing : def preprocess_data(data): # Simplify data before sending to LLM return data[:500] # Example: trimming data to the first 500 characters prompt = preprocess_data(user_input) response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=150 ) 4. Consider Latency and Cost for AI Integration The costs associated with API usage can escalate rapidly as your application scales. To mitigate these costs while maintaining optimal AI performance, consider the following strategies: Cache Responses : Implement caching for frequently requested responses to minimize redundant API calls. Optimize Context Windows : Large context windows can be beneficial for understanding but come with increased costs. Focus on sending only necessary context to reduce expenses. Utilize Hybrid Models : Combine smaller, open-source models (e.g., Llama 2) for low-stakes interactions with high-accuracy models (e.g., GPT-4) for critical tasks. This hybrid approach helps manage costs while retaining key AI functionalities. 5. Model Customization and Fine-Tuning for AI Pre-trained LLMs are powerful but may require customization to meet specific domain needs effectively. Prompt Engineering : Carefully crafted prompts can often yield the desired output without necessitating model fine-tuning. Experiment with different prompt formats, including few-shot prompting, to guide the model effectively. Fine-Tuning : In cases where deeper domain expertise is necessary, consider fine-tuning the model. OpenAI, among others, offers fine-tuning options. Ensure that you use well-curated datasets to avoid introducing biases during this process. 6. Infrastructure Considerations for AI Deployment AI integration requires robust infrastructure modifications beyond simple API access: Scalability : LLMs can be resource-intensive. Design server infrastructure capable of handling increased traffic and added latency, particularly during peak demand. Data Privacy : Data passing through third-party AI models presents privacy risks. Anonymize user data and implement compliance measures in alignment with relevant data policies and regulations. Edge Deployment : For applications requiring minimal latency, such as IoT, consider deploying lightweight models on edge devices while leveraging cloud-based LLMs for more demanding processing. 7. Testing and Monitoring AI Systems AI systems are dynamic and behave differently from traditional software systems. Rigorous Testing : Test the AI model against edge cases and simulate diverse scenarios to identify potential failure modes. Human-in-the-loop : In high-stakes environments, incorporate mechanisms for human oversight to ensure AI outputs meet quality standards. User feedback should be continuously leveraged to refine model behavior. Continuous Monitoring : Track key metrics such as response latency, error rates, and user satisfaction to ensure ongoing performance optimization. 8. Performance Optimization for AI Integration Effective AI integration demands careful performance tuning to ensure scalability and responsiveness. Asynchronous Processing : Use asynchronous calls to avoid blocking application threads while waiting for LLM responses. This approach allows concurrent task handling, improving overall efficiency. Python Example (Asynchronous) : import openai import asyncio async def get_response(prompt): response = await openai.Completion.acreate( engine="text-davinci-003", prompt=prompt, max_tokens=150 ) return response.choices[0].text loop = asyncio.get_event_loop() prompt = "How can asynchronous processing improve AI performance?" response_text = loop.run_until_complete(get_response(prompt)) print(response_text) Load Balancing : Use load balancers to distribute incoming API requests across multiple servers, preventing any single server from becoming overwhelmed, particularly during periods of high demand. Node.js Example with Load Balancer : Use Nginx as a load balancer to manage and distribute traffic. upstream openai_backend { server server1.example.com; server server2.example.com; } server { listen 80; location /ask { proxy_pass http://openai_backend; } } Containerization with Docker : Docker containers help maintain consistent deployment environments, ensuring easy scaling. Use Kubernetes for orchestrating multiple containers, thereby achieving high availability. Dockerfile Example : # Use an official Python runtime as a parent image FROM python:3.9-slim # Set the working directory in the container WORKDIR /app # Copy the current directory contents into the container at /app COPY . /app # Install any needed packages specified in requirements.txt RUN pip install --no-cache-dir -r requirements.txt # Make port 80 available to the world outside this container EXPOSE 80 # Define environment variable ENV NAME World # Run app.py when the container launches CMD ["python", "app.py"] Kubernetes Deployment Example : apiVersion: apps/v1 kind: Deployment metadata: name: openai-app-deployment spec: replicas: 3 selector: matchLabels: app: openai-app template: metadata: labels: app: openai-app spec: containers: - name: openai-app image: openai-app-image:latest ports: - containerPort: 80 9. Ensure a Smooth User Experience with AI Finally, it’s critical to think about how users will interact with the AI feature. Transparency : Let users know when they’re interacting with an AI model and what its limitations are. This transparency builds trust. Fail Gracefully : In case of a failed API call or confusing AI response, have a fallback ready—such as a templated response or escalation to human support. This ensures the AI adds value rather than creating frustration. 10. Leveraging LiteLLM for Seamless AI Integration For startups looking to efficiently integrate and manage multiple LLMs, LiteLLM offers a powerful framework that simplifies the AI integration process. Here’s how LiteLLM can help: Unified API Access : LiteLLM provides a consistent interface to interact with over 100 LLMs, including those from OpenAI, Anthropic, Hugging Face, and Azure. This simplifies switching between different AI models without altering your codebase, allowing you to be flexible and agile in your AI strategy. Proxy Server (LLM Gateway) : LiteLLM’s proxy server acts as a gateway for centralized AI management. It allows teams to monitor usage, implement guardrails, and customize logging and caching across projects, providing a comprehensive control layer that ensures both security and consistency. Python SDK : The LiteLLM Python SDK helps developers integrate AI functionalities directly into their applications with ease. It standardizes input and output formats, supports retry and fallback mechanisms, and ensures seamless integration with multiple LLM providers. Cost Tracking and Budgeting : LiteLLM enables startups to monitor and manage AI expenditures by tracking usage and setting budgets per project. This feature helps maintain cost efficiency, especially as your AI applications scale. Observability and Logging : With support for tools like Langfuse, Helicone, and PromptLayer, LiteLLM ensures you have comprehensive observability over your AI interactions. This makes debugging easier and helps you track performance metrics to continuously refine your AI integration. Streaming and Asynchronous Support : LiteLLM supports streaming responses and asynchronous operations, which is crucial for real-time AI applications that require high responsiveness. By leveraging LiteLLM, you can simplify the integration of AI capabilities, enhance scalability, and maintain cost-efficiency, making it an excellent choice for startups aiming to incorporate multiple LLMs into their tech stack. 11. Potential Challenges and Solutions in AI Integration Integrating AI into your startup comes with challenges. Here are some common pitfalls and strategies for overcoming them: Common AI Pitfalls Data Privacy Concerns : User data may be exposed during LLM interactions, creating privacy risks. Solution : Implement data anonymization techniques to strip out personally identifiable information (PII) before sending it to third-party AI models. Use encryption for data in transit and consider local processing where possible to limit exposure. Model Bias : AI LLMs can exhibit biases based on the data they were trained on, which may result in unintended consequences in your application. Solution : Conduct regular audits of model outputs to identify biases. Fine-tune AI models using curated datasets that reflect your users' diversity and values. Introduce human-in-the-loop systems to flag and correct problematic outputs. Scalability Issues : As your startup scales, increased API requests can lead to performance bottlenecks. Solution : Implement load balancing and use a combination of asynchronous processing and containerized deployments (e.g., Docker and Kubernetes) to ensure your infrastructure can scale efficiently with growing demand. Risk Management in AI Integration Model Failures : AI models can fail unpredictably, providing incorrect or incomplete responses. Solution : Use fallback strategies—if the AI model fails, implement default responses or escalate to human support. This ensures continuity in service and maintains user satisfaction. Maintaining Uptime : Relying on external LLM APIs can lead to outages that affect your product. Solution : Use redundant AI APIs from multiple providers. Incorporate a caching layer to serve responses for common queries even if the API is down. Compliance with Data Protection Regulations : Handling user data comes with legal responsibilities, including compliance with regulations like GDPR or CCPA. Solution : Work with legal experts to understand the specific data handling requirements in your region. Implement user consent mechanisms, anonymize data, and maintain a data retention policy that aligns with regulatory guidelines. Conclusion Integrating AI into your startup is an exciting journey that requires careful planning and technical rigor. Choosing the right AI model, setting up an efficient infrastructure, mitigating potential challenges, and ensuring high-quality user experience are key to success. With the power of OpenAI, Anthropic, LiteLLM, and other LLMs at your fingertips, you can create smarter, more engaging AI features that will set your startup apart. Fine is an AI coding tool that can help your startup win in the packed race to release new, AI-powered technology. Ship faster, resolve bugs and improve user satisfaction by adopting Fine as your AI coding agent. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:35 |
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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 Resumemind Helping software developers and other related tech experts like project managers, QA, businesses analysts crafting their tech resumes for their next job applications. Joined Joined on Jan 4, 2026 Personal website https://resumemind.com More info about @resumemind 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 Post 7 posts published Comment 1 comment written Tag 0 tags followed How to Write a Resume That Gets Interviews (Not Rejections) Resumemind Resumemind Resumemind Follow Jan 12 How to Write a Resume That Gets Interviews (Not Rejections) # career # interview # tutorial Comments Add Comment 3 min read Want to connect with Resumemind? 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https://www.anthropic.com/news/model-context-protocol#:~:text=The%20Model%20Context%20Protocol%20is,that%20connect%20to%20these%20servers | Skip to main content Skip to footer Research Economic Futures Commitments Learn News Try Claude Announcements Introducing the Model Context Protocol Nov 25, 2024 Today, we're open-sourcing the Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses. As AI assistants gain mainstream adoption, the industry has invested heavily in model capabilities, achieving rapid advances in reasoning and quality. Yet even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems. Every new data source requires its own custom implementation, making truly connected systems difficult to scale. MCP addresses this challenge. It provides a universal, open standard for connecting AI systems with data sources, replacing fragmented integrations with a single protocol. The result is a simpler, more reliable way to give AI systems access to the data they need. Model Context Protocol The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers. Today, we're introducing three major components of the Model Context Protocol for developers: The Model Context Protocol specification and SDKs Local MCP server support in the Claude Desktop apps An open-source repository of MCP servers Claude 3.5 Sonnet is adept at quickly building MCP server implementations, making it easy for organizations and individuals to rapidly connect their most important datasets with a range of AI-powered tools. To help developers start exploring, we’re sharing pre-built MCP servers for popular enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer. Early adopters like Block and Apollo have integrated MCP into their systems, while development tools companies including Zed, Replit, Codeium, and Sourcegraph are working with MCP to enhance their platforms—enabling AI agents to better retrieve relevant information to further understand the context around a coding task and produce more nuanced and functional code with fewer attempts. "At Block, open source is more than a development model—it’s the foundation of our work and a commitment to creating technology that drives meaningful change and serves as a public good for all,” said Dhanji R. Prasanna, Chief Technology Officer at Block. “Open technologies like the Model Context Protocol are the bridges that connect AI to real-world applications, ensuring innovation is accessible, transparent, and rooted in collaboration. We are excited to partner on a protocol and use it to build agentic systems, which remove the burden of the mechanical so people can focus on the creative.” Instead of maintaining separate connectors for each data source, developers can now build against a standard protocol. As the ecosystem matures, AI systems will maintain context as they move between different tools and datasets, replacing today's fragmented integrations with a more sustainable architecture. Getting started Developers can start building and testing MCP connectors today. All Claude.ai plans support connecting MCP servers to the Claude Desktop app. Claude for Work customers can begin testing MCP servers locally, connecting Claude to internal systems and datasets. We'll soon provide developer toolkits for deploying remote production MCP servers that can serve your entire Claude for Work organization. To start building: Install pre-built MCP servers through the Claude Desktop app Follow our quickstart guide to build your first MCP server Contribute to our open-source repositories of connectors and implementations An open community We’re committed to building MCP as a collaborative, open-source project and ecosystem, and we’re eager to hear your feedback. Whether you’re an AI tool developer, an enterprise looking to leverage existing data, or an early adopter exploring the frontier, we invite you to build the future of context-aware AI together. Related content Advancing Claude in healthcare and the life sciences Claude for Healthcare introduces HIPAA-ready infrastructure for providers and payers, while expanded Life Sciences capabilities add connectors to Medidata and ClinicalTrials.gov for clinical trial operations and regulatory work. Read more Sharing our compliance framework for California's Transparency in Frontier AI Act Read more Working with the US Department of Energy to unlock the next era of scientific discovery Read more Products Claude Claude Code Claude in Chrome Claude in Excel Claude in Slack Skills Max plan Team plan Enterprise plan Download app Pricing Log in to Claude Models Opus Sonnet Haiku Solutions AI agents Code modernization Coding Customer support Education Financial services Government Healthcare Life sciences Nonprofits Claude Developer Platform Overview Developer docs Pricing Regional Compliance Amazon Bedrock Google Cloud’s Vertex AI Console login Learn Blog Claude partner network Connectors Courses Customer stories Engineering at Anthropic Events Powered by Claude Service partners Startups program Tutorials Use cases Company Anthropic Careers Economic Futures Research News Responsible Scaling Policy Security and compliance Transparency Help and security Availability Status Support center Terms and policies Privacy policy Consumer health data privacy policy Responsible disclosure policy Terms of service: Commercial Terms of service: Consumer Usage policy © 2025 Anthropic PBC Introducing the Model Context Protocol \ Anthropic | 2026-01-13T08:49:35 |
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https://docs.devcycle.com/management-api/ | DevCycle Management API | DevCycle Docs Skip to main content Home SDKs APIs Management API Bucketing API Integrations CLI / MCP Best Practices Community Blog Discord Search Sign Up Projects post Create project in the current organization get List Projects that the current API Token has permission to view get Get a Project patch Update a Project del Delete a Project patch Update Publisher Restricted Settings for a Project patch Update Protected Settings for a Project get Get all stale Features for a Project Environments post Create Environment get List Environments get Get an Environment patch Update an Environment del Delete an Environment post Generate SDK Keys del Invalidate an SDK key Features v2 patch Update a Feature get Get a Feature post Create Feature get List Features get Get a Feature's Static Configuration patch Update a Feature's Static Configuration patch Update a Feature's status get Get a Feature's Staleness patch Update a Feature's Staleness patch Update a Feature's summary Audit Log get Get Audit Log For Feature Variations post Create a Feature Variation get List Feature Variations get Get a Feature Variation patch Update a Feature Variation Variables post Create a Variable get List Variables get Get a Variable patch Update a Variable del Delete a Variable patch Update a Variable status to archived or active Audiences post Create Audience get List Audiences get Get an Audience patch Update an Audience del Delete an Audience get Get all direct usages of an Audience Custom Properties post Create Custom Property get List Custom Properties get Get a Custom Property patch Update a Custom Property del Delete a Custom Property Metrics post Create Metric get Get All Metrics get Get a Metric patch Update a Metric del Delete a Metric get Fetch results for a Metric get Test Metric Results Metric Associations get Get Metric Associations post Associate a Metric with a Feature del Delete an Association of a Metric and a Feature User Profiles get Get User Profile for the Current User in the specified Project patch Create or Update User Profile for the Current User in the specified Project Overrides put Update Overrides for the Current User get Get feature overrides for current user del Delete override for specific feature and environment for the current user get Get overrides for feature get Get all overrides for project for current user del Delete all overrides for project for current user Webhooks post Create Webhook get List Webhooks patch Update Webhook get Get a Webhook del Delete a Webhook Integrations: Dynatrace post Create or Update Organization Dynatrace Integration get Get Dynatrace Integrations del Delete Dynatrace Environment Integrations: Jira del [Deprecated] Remove Jira Integration Configuration del Remove Jira Organization Integration Configuration del Remove Jira Project Integration Configuration [Beta] Semantic Patch patch [Beta] Semantic Patch Update an Audience Results get Feature Variable Evaluations (total) get Project Variable Evaluations (unique user) get Project Variable Evaluations (total) Project Change Requests get Get a list of Feature Change Requests for a Project Feature Change Requests post Create Feature Change Request get Get a list of Pending Feature Change Requests for a Feature get Get the latest non-draft Feature Change Request for a Feature get Get a Feature Change Request patch Submit Feature Change Request for Review patch Review a Pending Feature Change Request patch Review a Pending Feature Change Request patch Cancel a Pending Feature Change Request Feature Configurations get List Feature configurations patch Update a Feature configuration [Deprecated] Features v1 post Create Feature get List Features post Create Multiple Features with a single request get Get a Feature patch Update a Feature del Delete a Feature patch Update a Feature's status get Get a Feature's Static Configuration patch Update a Feature's Static Configuration post Link feature to Jira issue get List linked Jira Issues del Unlink feature from Jira issue API docs by Redocly DevCycle Management API ( 1.0.0 ) Download OpenAPI specification : Download An API for managing features and variables on the DevCycle platform. An authorization token can be obtained by making a OAuth request to our token endpoint using the client id and secret from the DevCycle dashboard Example using curl: curl -- request POST \ -- url "https://auth.devcycle.com/oauth/token" \ -- header 'content-type: application/x-www-form-urlencoded' \ -- data grant_type = client_credentials \ -- data audience = https : / / api . devcycle . com / \ -- data client_id = < client id > \ -- data client_secret = < client secret > For Enterprise customers with strict roles and permissions enabled using the API requires a different request to get the access token. Example using curl: curl -- request POST \ -- url 'https://auth.devcycle.com/oauth/token' \ -- header 'content-type: application/x-www-form-urlencoded' \ -- data grant_type = refresh_token \ -- data 'client_id=<client id>' \ -- data 'refresh_token={yourRefreshToken}' Projects Create project in the current organization Creates a new project within the authed organization. The project key must be unique within the organization. If this is called in an Organization that has permissions controlled via an external IdP ( https://docs.devcycle.com/platform/security-and-guardrails/permissions#full-role-based-access-control-project-level-roles--enterprise-only ) - then no users will have permission to access this project. Request Body schema: application/json required name required string [ 1 .. 100 ] characters Project name key required string [ 1 .. 100 ] characters ^[a-z0-9-_.]+$ A unique key to identify the Project description string <= 1000 characters A description of the Project color string <= 9 characters ^#([0-9A-Fa-f]{3}|[0-9A-Fa-f]{4}|[0-9A-Fa-f]{... Show pattern Project display color, used to highlight different projects on the dashboard. Must use Hex color code. settings object ( ProjectSettingsDTO ) Responses 201 The project has been successfully created 400 Invalid request - missing or invalid properties 403 409 Project key already exists post /v1/projects https://api.devcycle.com /v1/projects Request samples Payload Content type application/json Copy Expand all Collapse all { "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "title" : "string" , "description" : "string" , "enabled" : true , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : "center" } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "disablePassthroughRollouts" : true , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } } Response samples 201 400 409 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_organization" : "string" , "_createdBy" : "string" , "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "enabled" : true , "title" : "string" , "description" : "string" , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : { } } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "disablePassthroughRollouts" : true , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "frequency" : "weekly" , "users" : [ "string" ] , "lastNotification" : "2019-08-24T14:15:22Z" } } , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "hasJiraIntegration" : true , "hasReceivedCodeUsages" : true , "hasUserConfigFetch" : true , "jiraBaseUrl" : "string" , "readonly" : true , "vercelEdgeConfigConnections" : [ { "edgeConfigName" : "string" , "configurationId" : "string" } ] } List Projects that the current API Token has permission to view Lists all projects that the current API Token has permission to view. query Parameters page number >= 1 Default: 1 perPage number [ 1 .. 1000 ] Default: 100 sortBy string Default: "createdAt" Enum : "createdAt" "updatedAt" "name" "key" "propertyKey" sortOrder string Default: "desc" Enum : "asc" "desc" search string >= 3 characters createdBy string Responses 200 400 Invalid request - missing or invalid properties 403 get /v1/projects https://api.devcycle.com /v1/projects Response samples 200 400 Content type application/json Copy Expand all Collapse all [ { "_id" : "61450f3daec96f5cf4a49946" , "_organization" : "string" , "_createdBy" : "string" , "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "enabled" : true , "title" : "string" , "description" : "string" , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : { } } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "disablePassthroughRollouts" : true , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "frequency" : "weekly" , "users" : [ "string" ] , "lastNotification" : "2019-08-24T14:15:22Z" } } , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "hasJiraIntegration" : true , "hasReceivedCodeUsages" : true , "hasUserConfigFetch" : true , "jiraBaseUrl" : "string" , "readonly" : true , "vercelEdgeConfigConnections" : [ { "edgeConfigName" : "string" , "configurationId" : "string" } ] } ] Get a Project Get a Project by ID or key. path Parameters key required string A Project key or ID Responses 200 403 404 Project does not exist by key or ID. Keys are able to be changed so try switching to ID to have a consistent value that cannot be changed.This can also be returned if the current token does not have permission to view the project. get /v1/projects/{key} https://api.devcycle.com /v1/projects/{key} Response samples 200 404 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_organization" : "string" , "_createdBy" : "string" , "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "enabled" : true , "title" : "string" , "description" : "string" , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : { } } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "disablePassthroughRollouts" : true , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "frequency" : "weekly" , "users" : [ "string" ] , "lastNotification" : "2019-08-24T14:15:22Z" } } , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "hasJiraIntegration" : true , "hasReceivedCodeUsages" : true , "hasUserConfigFetch" : true , "jiraBaseUrl" : "string" , "readonly" : true , "vercelEdgeConfigConnections" : [ { "edgeConfigName" : "string" , "configurationId" : "string" } ] } Update a Project Update a Project by ID or key. Certain facets of the project settings require additional permissions to update. path Parameters key required string A Project key or ID Request Body schema: application/json required name string [ 1 .. 100 ] characters Project name key string [ 1 .. 100 ] characters ^[a-z0-9-_.]+$ A unique key to identify the Project description string <= 1000 characters A description of the Project color string <= 9 characters ^#([0-9A-Fa-f]{3}|[0-9A-Fa-f]{4}|[0-9A-Fa-f]{... Show pattern Project display color, used to highlight different projects on the dashboard. Must use Hex color code. settings object ( ProjectSettingsDTO ) Responses 200 400 403 404 409 patch /v1/projects/{key} https://api.devcycle.com /v1/projects/{key} Request samples Payload Content type application/json Copy Expand all Collapse all { "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "title" : "string" , "description" : "string" , "enabled" : true , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : "center" } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "disablePassthroughRollouts" : true , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } } Response samples 200 400 404 409 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_organization" : "string" , "_createdBy" : "string" , "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "enabled" : true , "title" : "string" , "description" : "string" , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : { } } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "disablePassthroughRollouts" : true , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "frequency" : "weekly" , "users" : [ "string" ] , "lastNotification" : "2019-08-24T14:15:22Z" } } , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "hasJiraIntegration" : true , "hasReceivedCodeUsages" : true , "hasUserConfigFetch" : true , "jiraBaseUrl" : "string" , "readonly" : true , "vercelEdgeConfigConnections" : [ { "edgeConfigName" : "string" , "configurationId" : "string" } ] } Delete a Project Delete a Project by ID or key path Parameters key required string A Project key or ID Responses 200 Project deleted successfully 403 404 Project not found.This can also be returned if the current token does not have permission to view the project. 405 Cannot delete the last project in an organization. Please contact support to delete the organization. delete /v1/projects/{key} https://api.devcycle.com /v1/projects/{key} Response samples 404 405 Content type application/json Copy { "statusCode" : 404 , "message" : "Item with key 'key-123' not found" , "error" : "Not Found" } Update Publisher Restricted Settings for a Project Update a subset of settings for a Project that only requires publisher permissions path Parameters key required string A Project key or ID Request Body schema: application/json required settings required object ( ProjectSettings ) edgeDB required object ( EdgeDBSettings ) optIn required object ( OptInSettings ) sdkTypeVisibility required object ( SDKTypeVisibilitySettings ) lifeCycle required object ( LifeCycleSettings ) obfuscation required object ( ObfuscationSettings ) featureApprovalWorkflow required object ( FeatureApprovalWorkflowSettings ) disablePassthroughRollouts required boolean staleness required object ( StalenessSettings ) dynatrace required object ( DynatraceProjectSettings ) Responses 200 400 403 404 409 patch /v1/projects/{key}/settings https://api.devcycle.com /v1/projects/{key}/settings Request samples Payload Content type application/json Copy Expand all Collapse all { "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "enabled" : true , "title" : "string" , "description" : "string" , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : { } } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "disablePassthroughRollouts" : true , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "frequency" : "weekly" , "users" : [ "string" ] , "lastNotification" : "2019-08-24T14:15:22Z" } } , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } } Response samples 200 400 404 409 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_organization" : "string" , "_createdBy" : "string" , "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "enabled" : true , "title" : "string" , "description" : "string" , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : { } } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "disablePassthroughRollouts" : true , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "frequency" : "weekly" , "users" : [ "string" ] , "lastNotification" : "2019-08-24T14:15:22Z" } } , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "hasJiraIntegration" : true , "hasReceivedCodeUsages" : true , "hasUserConfigFetch" : true , "jiraBaseUrl" : "string" , "readonly" : true , "vercelEdgeConfigConnections" : [ { "edgeConfigName" : "string" , "configurationId" : "string" } ] } Update Protected Settings for a Project Update the Protect Settings for a Project by ID or key path Parameters key required string A Project key or ID Request Body schema: application/json required settings required object ( ProtectedProjectSettingsDto ) featureApprovalWorkflow required object ( FeatureApprovalWorkflowDTO ) staleness required object ( StalenessSettingsDTO ) Responses 200 400 403 404 409 patch /v1/projects/{key}/settings/protected https://api.devcycle.com /v1/projects/{key}/settings/protected Request samples Payload Content type application/json Copy Expand all Collapse all { "settings" : { "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "users" : [ "string" ] , "frequency" : "weekly" } } } } Response samples 200 400 404 409 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_organization" : "string" , "_createdBy" : "string" , "name" : "Delivery App" , "key" : "delivery-app" , "description" : "A web app to manage outbound deliveries" , "color" : "#4073FF" , "settings" : { "edgeDB" : { "enabled" : true } , "optIn" : { "enabled" : true , "title" : "string" , "description" : "string" , "imageURL" : "string" , "colors" : { "primary" : "string" , "secondary" : "string" } , "poweredByAlignment" : { } } , "sdkTypeVisibility" : { "enabledInFeatureSettings" : true } , "lifeCycle" : { "disableCodeRefChecks" : true } , "obfuscation" : { "enabled" : true , "required" : true } , "featureApprovalWorkflow" : { "enabled" : true , "allowPublisherBypass" : true , "defaultReviewers" : [ "string" ] } , "disablePassthroughRollouts" : true , "staleness" : { "enabled" : true , "released" : { "enabled" : true } , "unmodifiedLong" : { "enabled" : true } , "unmodifiedShort" : { "enabled" : true } , "unused" : { "enabled" : true } , "email" : { "enabled" : true , "frequency" : "weekly" , "users" : [ "string" ] , "lastNotification" : "2019-08-24T14:15:22Z" } } , "dynatrace" : { "enabled" : true , "environmentMap" : { } } } , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "hasJiraIntegration" : true , "hasReceivedCodeUsages" : true , "hasUserConfigFetch" : true , "jiraBaseUrl" : "string" , "readonly" : true , "vercelEdgeConfigConnections" : [ { "edgeConfigName" : "string" , "configurationId" : "string" } ] } Get all stale Features for a Project Get all stale Features for a Project path Parameters key required string A Project key or ID query Parameters page number >= 1 Default: 1 perPage number [ 1 .. 1000 ] Default: 100 sortBy string Default: "createdAt" Enum : "createdAt" "updatedAt" "name" "key" "propertyKey" sortOrder string Default: "desc" Enum : "asc" "desc" search string >= 3 characters createdBy string includeSilenced boolean Default: false Responses 200 403 404 Project not found. This can also be returned if the current token does not have permission to view the project. get /v1/projects/{key}/staleness https://api.devcycle.com /v1/projects/{key}/staleness Response samples 200 404 Content type application/json Copy Expand all Collapse all [ { "key" : "string" , "name" : "string" , "_feature" : "string" , "stale" : true , "updatedAt" : "2019-08-24T14:15:22Z" , "disabled" : true , "snoozedUntil" : "2019-08-24T14:15:22Z" , "reason" : "released" , "metaData" : { } } ] Environments Create Environment Create a new environment for a project. The environment key must be unique within the project. Multiple environments can share a type. Creating an environment will auto-generate a set of SDK Keys for the various types of SDKs. When permissions are enabled for the organization, the token must have Publisher permissions for the environment to be created. path Parameters project required string A Project key or ID Request Body schema: application/json required name required string [ 1 .. 100 ] characters A unique display name key required string [ 1 .. 100 ] characters ^[a-z0-9-_.]+$ Unique Environment identifier, can be used in the SDK / API to reference by key rather than ID. Must only contain lower-case characters and _ , - or . . description string <= 1000 characters Environment description. color string <= 9 characters ^#([0-9A-Fa-f]{3}|[0-9A-Fa-f]{4}|[0-9A-Fa-f]{... Show pattern Environment display color, used to highlight different environments on the dashboard. Must use Hex color code. type required string Enum : "development" "staging" "production" "disaster_recovery" The environment type settings object Environment based settings Responses 201 400 401 404 409 post /v1/projects/{project}/environments https://api.devcycle.com /v1/projects/{project}/environments Request samples Payload Content type application/json Copy Expand all Collapse all { "name" : "Staging Upcoming" , "key" : "staging-upcoming" , "description" : "Pre-production changes" , "color" : "#4073FF" , "type" : "staging" , "settings" : { "appIconURI" : "string" } } Response samples 201 400 409 Content type application/json Copy Expand all Collapse all { "name" : "Staging Upcoming" , "key" : "staging-upcoming" , "description" : "Pre-production changes" , "color" : "#4073FF" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "type" : "staging" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "sdkKeys" : { "mobile" : [ { } ] , "client" : [ { } ] , "server" : [ { } ] } , "settings" : { "appIconURI" : "string" } , "readonly" : true } List Environments List all environments for a project. If a token does not have permission to view protected environments the environments will be filtered to only show non-protected environments SDK Keys for security. path Parameters project required string A Project key or ID query Parameters page number >= 1 Default: 1 perPage number [ 1 .. 1000 ] Default: 100 sortBy string Default: "createdAt" Enum : "createdAt" "updatedAt" "name" "key" "propertyKey" sortOrder string Default: "desc" Enum : "asc" "desc" search string >= 3 characters createdBy string Responses 200 400 401 403 404 get /v1/projects/{project}/environments https://api.devcycle.com /v1/projects/{project}/environments Response samples 200 400 Content type application/json Copy Expand all Collapse all [ { "name" : "Staging Upcoming" , "key" : "staging-upcoming" , "description" : "Pre-production changes" , "color" : "#4073FF" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "type" : "staging" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "sdkKeys" : { "mobile" : [ { } ] , "client" : [ { } ] , "server" : [ { } ] } , "settings" : { "appIconURI" : "string" } , "readonly" : true } ] Get an Environment Returns the environment; if the token does not have permission to view protected environments, the environment will be filtered to only show non-protected SDK Keys for security. path Parameters key required string A Environment key or ID project required string A Project key or ID Responses 200 401 403 404 get /v1/projects/{project}/environments/{key} https://api.devcycle.com /v1/projects/{project}/environments/{key} Response samples 200 404 Content type application/json Copy Expand all Collapse all { "name" : "Staging Upcoming" , "key" : "staging-upcoming" , "description" : "Pre-production changes" , "color" : "#4073FF" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "type" : "staging" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "sdkKeys" : { "mobile" : [ { } ] , "client" : [ { } ] , "server" : [ { } ] } , "settings" : { "appIconURI" : "string" } , "readonly" : true } Update an Environment Update an environment by ID or key. The environment key (if edited) must be unique within the project. If permissions are enabled, changing a protected environment type requires Publisher permissions path Parameters key required string A Environment key or ID project required string A Project key or ID Request Body schema: application/json required name string [ 1 .. 100 ] characters A unique display name key string [ 1 .. 100 ] characters ^[a-z0-9-_.]+$ Unique Environment identifier, can be used in the SDK / API to reference by key rather than ID. Must only contain lower-case characters and _ , - or . . description string <= 1000 characters Environment description. color string <= 9 characters ^#([0-9A-Fa-f]{3}|[0-9A-Fa-f]{4}|[0-9A-Fa-f]{... Show pattern Environment display color, used to highlight different environments on the dashboard. Must use Hex color code. type string Enum : "development" "staging" "production" "disaster_recovery" The environment type settings object Environment based settings Responses 200 400 Invalid request body 401 404 Environment not found 409 Environment key already exists, cannot rename an environment to an existing one. patch /v1/projects/{project}/environments/{key} https://api.devcycle.com /v1/projects/{project}/environments/{key} Request samples Payload Content type application/json Copy Expand all Collapse all { "name" : "Staging Upcoming" , "key" : "staging-upcoming" , "description" : "Pre-production changes" , "color" : "#4073FF" , "type" : "staging" , "settings" : { "appIconURI" : "string" } } Response samples 200 400 404 409 Content type application/json Copy Expand all Collapse all { "name" : "Staging Upcoming" , "key" : "staging-upcoming" , "description" : "Pre-production changes" , "color" : "#4073FF" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "type" : "staging" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "sdkKeys" : { "mobile" : [ { } ] , "client" : [ { } ] , "server" : [ { } ] } , "settings" : { "appIconURI" : "string" } , "readonly" : true } Delete an Environment Delete an Environment by ID or key path Parameters key required string A Environment key or ID project required string A Project key or ID Responses 200 401 403 404 405 delete /v1/projects/{project}/environments/{key} https://api.devcycle.com /v1/projects/{project}/environments/{key} Response samples 404 405 Content type application/json Copy { "statusCode" : 404 , "message" : "Item with key 'key-123' not found" , "error" : "Not Found" } Generate SDK Keys Generate new SDK keys for an environment, for any or all of the SDK types. This is the expected and recommended way to rotate SDK keys. Adding a new SDK key will not invalidate existing SDK keys. Generating new keys is restricted for protected environments to those with Publisher permissions path Parameters environment required string An Environment key or ID project required string A Project key or ID Request Body schema: application/json required client boolean server boolean mobile boolean Responses 200 201 400 401 403 404 post /v1/projects/{project}/environments/{environment}/sdk-keys https://api.devcycle.com /v1/projects/{project}/environments/{environment}/sdk-keys Request samples Payload Content type application/json Copy { "client" : true , "server" : true , "mobile" : true } Response samples 200 201 400 404 Content type application/json Copy Expand all Collapse all { "name" : "Staging Upcoming" , "key" : "staging-upcoming" , "description" : "Pre-production changes" , "color" : "#4073FF" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "type" : "staging" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "sdkKeys" : { "mobile" : [ { } ] , "client" : [ { } ] , "server" : [ { } ] } , "settings" : { "appIconURI" : "string" } , "readonly" : true } Invalidate an SDK key This will invalidate all configs associated with a given key. This is an instantaneous change and all SDKs using this key will stop working immediately. This is the expected and recommended way to rotate SDK keys. path Parameters key required string An SDK key environment required string An Environment key or ID project required string A Project key or ID Responses 200 401 403 404 405 delete /v1/projects/{project}/environments/{environment}/sdk-keys/{key} https://api.devcycle.com /v1/projects/{project}/environments/{environment}/sdk-keys/{key} Response samples 404 405 Content type application/json Copy { "statusCode" : 404 , "message" : "Item with key 'key-123' not found" , "error" : "Not Found" } Features v2 Update a Feature Update a Feature by ID or key path Parameters feature required string A Feature key or ID project required string A Project key or ID Request Body schema: application/json required key string [ 1 .. 100 ] characters ^[a-z0-9-_.]+$ Unique key by Project, can be used in the SDK / API to reference by 'key' rather than _id. Must only contain lower-case characters and _ , - or . . name string [ 1 .. 100 ] characters Name of the Feature description string <= 1000 characters Feature description. configurations object variations Array of objects ( UpdateVariationDto ) Variation configurations to be used by feature configurations. staleness object summary object ( UpdateFeatureSummaryDto ) variables Array of objects ( CreateVariableDto ) Variable definitions to be referenced in variations type string Enum : "release" "experiment" "permission" "ops" Feature type. tags Array of strings Feature tags. controlVariation string The key of the variation that is used as the control variation for Metrics settings object Feature-level settings. sdkVisibility object SDK Type Visibilty Settings Responses 200 400 401 403 404 409 412 patch /v2/projects/{project}/features/{feature} https://api.devcycle.com /v2/projects/{project}/features/{feature} Request samples Payload Content type application/json Copy Expand all Collapse all { "key" : "new-dash" , "name" : "New Dashboard" , "description" : "New Dashboard" , "configurations" : { "development" : { "status" : "active" , "targets" : [ ] } , "production" : { "status" : "inactive" , "targets" : [ ] } } , "variations" : [ { "key" : "variation-1" , "name" : "User's with dashboard access" , "variables" : { "show-new-dashboard" : true , "string-var" : "hello world" , "bool-var" : true , "num-var" : 99 , "json-var" : { "foo" : "bar" } } , "_id" : "string" } ] , "staleness" : { } , "summary" : { "maintainers" : [ "string" ] , "links" : [ { "url" : "string" , "title" : "string" } ] , "markdown" : "string" } , "variables" : [ { "name" : "Show New Dashboard" , "description" : "A boolean variable that will toggle the new dashboard feature" , "key" : "show-new-dashboard" , "_feature" : "61450f3daec96f5cf4a49947" , "type" : "Boolean" , "validationSchema" : { "schemaType" : { } , "enumValues" : { } , "regexPattern" : "string" , "jsonSchema" : "string" , "description" : "string" , "exampleValue" : { } } , "tags" : [ "new" , "dashboard" ] } ] , "type" : "release" , "tags" : [ "new" , "dashboard" ] , "controlVariation" : "string" , "settings" : { "publicName" : "string" , "publicDescription" : "string" , "optInEnabled" : true } , "sdkVisibility" : { "mobile" : true , "client" : true , "server" : true } } Response samples 200 400 404 409 412 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "source" : "api" , "status" : "active" , "type" : "release" , "name" : "New Dashboard" , "key" : "new-dash" , "description" : "New client-facing dashboard." , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "prodTargetingUpdatedAt" : "2019-08-24T14:15:22Z" , "variations" : [ { "key" : "variation-1" , "name" : "User's with dashboard access" , "variables" : { "show-new-dashboard" : true , "string-var" : "hello world" , "bool-var" : true , "num-var" : 99 , "json-var" : { "foo" : "bar" } } , "_id" : "61450f3daec96f5cf4a49946" } ] , "controlVariation" : "string" , "staticVariation" : "string" , "variables" : [ { "name" : "Show New Dashboard" , "description" : "A boolean variable that will toggle the new dashboard feature" , "key" : "show-new-dashboard" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "_feature" : "61450f3daec96f5cf4a49947" , "type" : "Boolean" , "status" : "active" , "source" : "api" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "validationSchema" : { "schemaType" : { } , "enumValues" : { } , "regexPattern" : "string" , "jsonSchema" : "string" , "description" : "string" , "exampleValue" : { } } , "persistent" : true , "tags" : [ "Dashboard" , "QA" ] } ] , "tags" : [ "Dashboard" , "QA" ] , "ldLink" : "string" , "readonly" : true , "settings" : { "publicName" : "string" , "publicDescription" : "string" , "optInEnabled" : true } , "sdkVisibility" : { "mobile" : true , "client" : true , "server" : true } , "configurations" : [ { "_feature" : "61450f3daec96f5cf4a49946" , "_environment" : "61450f3daec96f5cf4a49946" , "_createdBy" : "string" , "status" : "active" , "startedAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "targets" : [ { "_id" : "61450f3daec96f5cf4a49946" , "name" : "Feature Enabled" , "audience" : { "name" : "Android Users" , "filters" : { "filters" : [ { "type" : "all" } ] , "operator" : "and" } } , "rollout" : { "startPercentage" : 1 , "type" : "schedule" , "startDate" : "2019-08-24T14:15:22Z" , "stages" : [ { "percentage" : 1 , "type" : "linear" , "date" : "2019-08-24T14:15:22Z" } ] } , "distribution" : [ { "percentage" : 0.0005 , "_variation" : "variation-1" } ] , "bucketingKey" : "'organization_id" } ] , "readonly" : true , "hasStaticConfig" : true } ] , "latestUpdate" : { "date" : "2019-08-24T14:15:22Z" , "a0_user" : "string" , "changes" : [ { } ] } , "changeRequests" : [ { } ] , "staleness" : { } , "customStatus" : { "_status" : "string" , "updatedAt" : "2019-08-24T14:15:22Z" } , "summary" : { "maintainers" : [ "string" ] , "links" : [ { "url" : "string" , "title" : "string" } ] , "markdown" : "string" } } Get a Feature Get a Feature by ID or key path Parameters feature required string A Feature key or ID project required string A Project key or ID Responses 200 401 403 404 get /v2/projects/{project}/features/{feature} https://api.devcycle.com /v2/projects/{project}/features/{feature} Response samples 200 404 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "source" : "api" , "status" : "active" , "type" : "release" , "name" : "New Dashboard" , "key" : "new-dash" , "description" : "New client-facing dashboard." , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "prodTargetingUpdatedAt" : "2019-08-24T14:15:22Z" , "variations" : [ { "key" : "variation-1" , "name" : "User's with dashboard access" , "variables" : { "show-new-dashboard" : true , "string-var" : "hello world" , "bool-var" : true , "num-var" : 99 , "json-var" : { "foo" : "bar" } } , "_id" : "61450f3daec96f5cf4a49946" } ] , "controlVariation" : "string" , "staticVariation" : "string" , "variables" : [ { "name" : "Show New Dashboard" , "description" : "A boolean variable that will toggle the new dashboard feature" , "key" : "show-new-dashboard" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "_feature" : "61450f3daec96f5cf4a49947" , "type" : "Boolean" , "status" : "active" , "source" : "api" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "validationSchema" : { "schemaType" : { } , "enumValues" : { } , "regexPattern" : "string" , "jsonSchema" : "string" , "description" : "string" , "exampleValue" : { } } , "persistent" : true , "tags" : [ "Dashboard" , "QA" ] } ] , "tags" : [ "Dashboard" , "QA" ] , "ldLink" : "string" , "readonly" : true , "settings" : { "publicName" : "string" , "publicDescription" : "string" , "optInEnabled" : true } , "sdkVisibility" : { "mobile" : true , "client" : true , "server" : true } , "configurations" : [ { "_feature" : "61450f3daec96f5cf4a49946" , "_environment" : "61450f3daec96f5cf4a49946" , "_createdBy" : "string" , "status" : "active" , "startedAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "targets" : [ { "_id" : "61450f3daec96f5cf4a49946" , "name" : "Feature Enabled" , "audience" : { "name" : "Android Users" , "filters" : { "filters" : [ { "type" : "all" } ] , "operator" : "and" } } , "rollout" : { "startPercentage" : 1 , "type" : "schedule" , "startDate" : "2019-08-24T14:15:22Z" , "stages" : [ { "percentage" : 1 , "type" : "linear" , "date" : "2019-08-24T14:15:22Z" } ] } , "distribution" : [ { "percentage" : 0.0005 , "_variation" : "variation-1" } ] , "bucketingKey" : "'organization_id" } ] , "readonly" : true , "hasStaticConfig" : true } ] , "latestUpdate" : { "date" : "2019-08-24T14:15:22Z" , "a0_user" : "string" , "changes" : [ { } ] } , "changeRequests" : [ { } ] , "staleness" : { } , "customStatus" : { "_status" : "string" , "updatedAt" : "2019-08-24T14:15:22Z" } , "summary" : { "maintainers" : [ "string" ] , "links" : [ { "url" : "string" , "title" : "string" } ] , "markdown" : "string" } } Create Feature Create a new Feature path Parameters project required string A Project key or ID Request Body schema: application/json required key required string [ 1 .. 100 ] characters ^[a-z0-9-_.]+$ Unique key by Project, can be used in the SDK / API to reference by 'key' rather than _id. Must only contain lower-case characters and _ , - or . . name required string [ 1 .. 100 ] characters Name of the Feature description string <= 1000 characters Feature description. configurations required object type string Enum : "release" "experiment" "permission" "ops" Feature type. tags Array of strings Feature tags. variations Array of objects ( CreateVariationDto ) Variation configurations to be used by feature configurations. controlVariation string The key of the variation that is used as the control variation for Metrics variables Array of objects ( CreateVariableDto ) Variable definitions to be referenced in variations settings object Feature-level settings. sdkVisibility object SDK Type Visibilty Settings Responses 201 400 401 404 409 412 post /v2/projects/{project}/features https://api.devcycle.com /v2/projects/{project}/features Request samples Payload Content type application/json Copy Expand all Collapse all { "key" : "new-dash" , "name" : "New Dashboard" , "description" : "New Dashboard" , "configurations" : { "development" : { "status" : "active" , "targets" : [ ] } , "production" : { "status" : "inactive" , "targets" : [ ] } } , "type" : "release" , "tags" : [ "new" , "dashboard" ] , "variations" : [ { "key" : "variation-1" , "name" : "User's with dashboard access" , "variables" : { "show-new-dashboard" : true , "string-var" : "hello world" , "bool-var" : true , "num-var" : 99 , "json-var" : { "foo" : "bar" } } } ] , "controlVariation" : "string" , "variables" : [ { "name" : "Show New Dashboard" , "description" : "A boolean variable that will toggle the new dashboard feature" , "key" : "show-new-dashboard" , "_feature" : "61450f3daec96f5cf4a49947" , "type" : "Boolean" , "validationSchema" : { "schemaType" : { } , "enumValues" : { } , "regexPattern" : "string" , "jsonSchema" : "string" , "description" : "string" , "exampleValue" : { } } , "tags" : [ "new" , "dashboard" ] } ] , "settings" : { "publicName" : "string" , "publicDescription" : "string" , "optInEnabled" : true } , "sdkVisibility" : { "mobile" : true , "client" : true , "server" : true } } Response samples 201 400 409 412 Content type application/json Copy Expand all Collapse all { "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "source" : "api" , "status" : "active" , "type" : "release" , "name" : "New Dashboard" , "key" : "new-dash" , "description" : "New client-facing dashboard." , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-24T14:15:22Z" , "prodTargetingUpdatedAt" : "2019-08-24T14:15:22Z" , "variations" : [ { "key" : "variation-1" , "name" : "User's with dashboard access" , "variables" : { "show-new-dashboard" : true , "string-var" : "hello world" , "bool-var" : true , "num-var" : 99 , "json-var" : { "foo" : "bar" } } , "_id" : "61450f3daec96f5cf4a49946" } ] , "controlVariation" : "string" , "staticVariation" : "string" , "variables" : [ { "name" : "Show New Dashboard" , "description" : "A boolean variable that will toggle the new dashboard feature" , "key" : "show-new-dashboard" , "_id" : "61450f3daec96f5cf4a49946" , "_project" : "string" , "_feature" : "61450f3daec96f5cf4a49947" , "type" : "Boolean" , "status" : "active" , "source" : "api" , "_createdBy" : "string" , "createdAt" : "2019-08-24T14:15:22Z" , "updatedAt" : "2019-08-2 | 2026-01-13T08:49:35 |
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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. 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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://popcorn.forem.com/popcorn_movies/cinemasins-everything-wrong-with-a-minecraft-movie-in-22-minutes-or-less-53jb | CinemaSins: Everything Wrong With A Minecraft Movie In 22 Minutes Or Less - 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 Aug 28, 2025 CinemaSins: Everything Wrong With A Minecraft Movie In 22 Minutes Or Less # movies # reviews # animation # streaming Everything Wrong With A Minecraft Movie In 22 Minutes Or Less skewers the latest blockbuster video-game adaptation with trademark snark, pointing out how ticked-off audiences and massive box-office receipts don’t magically fix tired tropes. It’s basically CinemaSins doing what they do best—calling out every contrived plot twist, shaky dialogue moment, and CG overkill in rapid-fire fashion. The video description doubles as a promo blitz: head over to cinemasins.com for more content, check out spin-off channels like TVSins and CommercialSins, join their Discord or Reddit communities, and don’t forget to fill out their “sinful” poll. If you’re feeling generous, you can even support the team on Patreon—and get to know the writers behind all those deliciously sarcastic “sins.” 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 | 2026-01-13T08:49:35 |
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https://open.forem.com/qwegle_insights/why-indias-gig-worker-strike-is-about-technology-k49#comments | Why India’s Gig Worker Strike Is About Technology - Open 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. 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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 Open Forem Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Qwegle Tech Posted on Dec 31, 2025 Why India’s Gig Worker Strike Is About Technology # gig # gigworkers # company # news Introduction At first glance, India’s gig worker strike appears to be another labour dispute. Delivery partners logging out of apps. Orders are slowing down. Public demands for higher pay and better conditions. But look closer, and a deeper story emerges. This is not only a protest against wages. It is a response to how technology defines the pace of modern work. It is about software systems that promise speed to customers while quietly transferring pressure onto human bodies. And it is about how design decisions made inside platforms ripple outward into streets, traffic, and daily life. When gig workers step away from their phones, they are not rejecting technology. They are questioning how it is being used. Where the Strike Began to Make Sense Delivery partners working with platforms like Swiggy , Zomato , and Amazon delivery services did not arrive at this moment overnight. For months, workers across cities reported shrinking incentives, rising fuel costs, and tighter delivery expectations. What finally brought attention was the demand to remove ultra-fast delivery options. This request was not symbolic. It was deeply practical. Fast delivery is not just a promise made in marketing campaigns. It is a technical setting. It lives inside routing algorithms, time estimates, and performance scoring systems. Once speed becomes a selling point, the system must enforce it. And enforcement is carried out by code. How Platforms Set the Rhythm of Work Behind every delivery notification is a complex technological system. Platforms track traffic patterns, order density, customer behaviour, and individual worker history in real time. Algorithms decide who gets assigned what order, how long the delivery should take, and how performance is evaluated. For gig workers, the app becomes more than a tool. It becomes a silent supervisor. Accept too slowly, and future orders may decline. Miss a delivery window, and incentives disappear. Declining tasks repeatedly, and visibility within the system drops. None of this is shouted. It is nudged quietly through notifications, timers, and scores. When delivery timelines become tighter, workers feel it immediately. Breaks shorten. Risk increases. What appears to be efficiency on a dashboard can become a strain on the road. Why This Is a Technology Story First This strike matters because it exposes how software design shapes human behaviour. Technology does not simply reflect reality. It constructs it. A ten-minute delivery option exists because teams decided that speed should outweigh other considerations. That decision affects how routes are calculated, how bonuses are structured, and how workers move through cities. When algorithms prioritise speed above safety or sustainability, humans absorb the cost. And unlike software, humans have limits. This is why the strike is about technology as much as labour. It asks a fundamental question. What should systems optimise for? The Promise and Pressure of Flexibility The gig economy was built on the idea of freedom. Work when you want. Choose your hours. Be independent. In practice, flexibility is often shaped by invisible constraints. Peak hour bonuses encourage longer shifts. Acceptance rates affect future task allocation. Declining orders can quietly reduce income opportunities. Gig workers are not saying flexibility is a lie. They are saying it is conditional. When systems tighten, freedom shrinks. The strike brings this tension into the open. Speed Versus Sustainability Fast delivery has become a competitive battleground. Platforms race to outdo one another. Customers grow accustomed to immediacy. But speed has consequences. Roads are unpredictable. Weather changes. Fatigue builds. When systems ignore these realities, risk increases. Gig workers are asking platforms to recognise that sustainability matters. They are not opposing innovation. They are asking for technology that respects human rhythm. That distinction matters. What Responsible Platform Design Looks Like Better technology does not mean slower progress. It means wiser priorities. Routing systems can include safety buffers. Incentives can reward consistency rather than only speed. Earnings models can guarantee minimum stability. Automated penalties can include human review. Transparency is equally important. Workers deserve to understand how payouts are calculated and how performance affects opportunity. When systems feel opaque, trust erodes. Good technology explains itself. It does not hide behind complexity. Qwegle’s Insights At Qwegle , we study how digital systems influence human behaviour long before the effects become visible. The gig worker strike is a clear signal. We see a familiar pattern. Platforms scale efficiency faster than care. Over time, the imbalance becomes visible through burnout, resistance, and public pushback. The companies that will endure are not the ones that push hardest. They are the people who listen, adapt, and design with sensitivity. They view workers as a component of the system, not as variables to be optimized. Technology works best when it helps people, not when it limits them. Why this matters beyond delivery apps This topic extends well beyond food and supplies. The same dynamics are observed wherever algorithms govern human work. Warehousing. Customer support. Content moderation. Even creative work. Anywhere software sets the pace, assigns value, and measures performance; the same question applies. Who benefits from optimisation? Who bears the risk? The gig worker strike is not an isolated event. It is a preview. What the Future Can Look Like There is a different path forward. One where platforms use technology to protect workers as much as customers. Dynamic delivery windows that adjust to real conditions. Safety weighted routing. Clear earning guarantees. Transparent scoring systems. Human oversight where automation falls short. None of this is unrealistic. It requires intention. Technology should expand human capability, not shrink it. Conclusion India’s gig worker strike is not a rejection of progress. It is a call for better progress. It asks platform builders to look beyond growth metrics and consider real-life experience. It reminds designers that speed is not always an improvement. And it shows that when systems forget the human, people eventually push back. When technology listens, trust returns. Contact Qwegle to understand how ethical technology design can shape sustainable platforms and long-term digital trust. 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 Qwegle Tech Follow Building smarter UX for a faster future. Qwegle simplifies tech, design, and AI for the real world. 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https://dev.to/t/devops/videos#main-content | Videos - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Forem Close All videos # devops on Video Encore Cloud 2.0 - Development Platform for the AI Era Marcus Kohlberg 10:28 Deploy on Jira Ankit Rattan 02:34 AWS Lambda processa dezenas de trilhões de invocações todos os meses Carlos Filho 1:00:49 Momen vs Bubble: Key differences and pricing explained Alex 1:22:46 Transitioning into DevOps Iroh Omolola 12:14 CAST AI demo video CAST AI 02:02 The Magic of OpsCanvas Deployment Platform Kimberly Rose 15:48 Two approaches to make your APIs more secure Jan Schulte 1:12:19 Kubernetes add-on distribution to multitude of clusters Gianluca 13:50 Kubernetes cluster add-on lifecycle management with Sveltos Gianluca 32:00 Introduction To GitLab Interface | GitLab Tutorial For Beginners | Part II LambdaTest Team 07:50 What Is GitLab Workflow | GitLab Flow | GitLab Tutorial For Beginners | Part III LambdaTest Team 38:45 Introduction to GitLab CI | What is GitLab CI | GitLab Tutorial For Beginners | Part I LambdaTest Team 00:18 HELLO WORLD in Morse Code Souvik Paul 00:33 What were your favourite GitHub Universe moments? Here's mine Michelle Duke 01:49 Scientific Programming School Scientific Programming School 01:43 Setup Continuous Delivery with GitHub Actions Brian Douglas 01:53 Sync Forks to Upstream Using GitHub Actions Brian Douglas 01:43 Repository Automation with GitHub Actions Brian Douglas 01:23 Caching dependencies to speed up workflows in GitHub Actions Brian Douglas 02:02 Environment Scoped Secrets for GitHub Action Workflows Brian Douglas 01:43 Bring your own (self-hosted) environment for GitHub Action Workflows Brian Douglas 01:58 Sending PR notifications through SMS and GitHub Actions Brian Douglas 01:33 Conditional Workflows and Failures in GitHub Actions Brian Douglas 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. 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 | 2026-01-13T08:49:35 |
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https://www.fine.dev/blog/ai-replace-programmers-de#pricing | Wird KI Programmierer ersetzen? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Wird KI Programmierer ersetzen? Die Frage „Wird KI Programmierer ersetzen?“ kursiert in Technologiekreisen und löst sowohl Begeisterung als auch Besorgnis aus. Da KI-gestützte Codierungstools immer fortschrittlicher werden, stellt sich die Frage: Wo bleibt da der menschliche Entwickler? Lassen Sie uns die Perspektiven führender Stimmen in diesem Bereich erkunden. Das Argument für die Revolution der Entwicklung durch KI KI transformiert die Softwareentwicklung KI verändert zweifellos unsere Herangehensweise an die Softwareentwicklung. Tools wie GitHub Copilot und Plattformen wie Fine ermöglichen es Entwicklern, sich wiederholende Aufgaben zu rationalisieren. Wie ein Artikel feststellt , „KI kann Code-Snippets oder ganze Funktionen basierend auf natürlichen Spracheingaben erzeugen und so die Entwicklung rationalisieren“ (The Tech Bible). Codierung zugänglicher machen Diese Tools sparen nicht nur Zeit, sondern machen das Codieren auch zugänglicher. Beispielsweise kann KI Anfängern mit Echtzeit-Anleitungen helfen und wie ein persönlicher Mentor agieren Techies Spot . Dies senkt die Eintrittsbarriere für die Softwareentwicklung und öffnet mehr Menschen die Tür zur Teilnahme an der Branche. Wird KI Programmierer vollständig ersetzen? Der Konsens scheint ein klares Nein zu sein. Während KI bei der Automatisierung sich wiederholender Aufgaben glänzt, fehlt ihr die Kreativität, Intuition und Problemlösungsfähigkeit, die menschliche Programmierer mitbringen. Wie Jonathan's Musings erklärt, „KI könnte Code generieren, aber das Verständnis komplexer Anforderungen und deren Übersetzung in robuste Lösungen erfordert immer noch menschliche Einsicht.“ Peter H. Diamandis stimmt diesem Gefühl zu und erklärt: „Anstatt Programmierer zu ersetzen, wird KI als Multiplikator wirken und es Entwicklern ermöglichen, sich auf höherwertige Aufgaben zu konzentrieren.“ Wann wird KI Programmierer ersetzen? Die Frage, wann, wenn überhaupt, KI Programmierer ersetzen wird, ist komplex. Aktuelle KI-Modelle, obwohl leistungsstark, haben erhebliche Einschränkungen. Sie fehlen echtes Verständnis, generieren oft falschen oder unsicheren Code und erfordern menschliche Aufsicht, um Qualität und Zuverlässigkeit zu gewährleisten. Diese Einschränkungen bedeuten, dass KI noch weit davon entfernt ist, menschliche Programmierer vollständig zu ersetzen. Die Entwicklung der KI-Fähigkeiten KI entwickelt sich schnell weiter, und es ist möglich, dass zukünftige Iterationen komplexere Entwicklungsaufgaben bewältigen können. Der Zeitrahmen dafür ist jedoch ungewiss. Experten glauben, dass KI menschliche Entwickler weiterhin ergänzen wird, anstatt sie in absehbarer Zukunft vollständig zu ersetzen. Die menschliche Fähigkeit, Kontext zu verstehen, Urteile zu fällen und Probleme kreativ zu lösen, bleibt unersetzlich. KI als Partner der Programmierer Kollaborative Rolle der KI Die vielversprechendste Perspektive auf KI in der Programmierung ist ihre Rolle als kollaborativer Partner. Entwickler können KI nutzen, um Routineaufgaben zu automatisieren, Standardcode zu generieren und sogar komplexe Systeme zu debuggen. Laut Billy Newport werden „KI-Codierungsassistenten nahtlos in Tools wie GitHub integriert und als schnelle und effiziente Mitarbeiter agieren, anstatt als Ersatz“ (Billy Newport). Fine’s KI-Entwicklerlösung Die KI-Entwicklerlösung von Fine ist ein perfektes Beispiel für diese Partnerschaft in Aktion. Mit Funktionen wie Live-Vorschauen und KI-Workflows ermöglicht Fine Entwicklern, Code in Echtzeit zu schreiben, zu testen und zu verfeinern. Durch die Automatisierung des Banalen können sich Entwickler auf Innovation und Problemlösung konzentrieren. Fazit Wird KI also Programmierer ersetzen? Die Antwort ist nein – aber sie wird sie produktiver, kreativer und wirkungsvoller machen als je zuvor. KI ist kein Ersatz für menschliche Genialität; es ist ein Werkzeug, um sie zu verbessern. Während sich die Branche weiterentwickelt, werden Plattformen wie Fine die Führung übernehmen und Entwicklern helfen, mehr mit weniger Reibung zu erreichen. Fine ist eine ideale Lösung für Startups, die ihre Entwicklungsprozesse optimieren und die Produktivität maximieren möchten, ohne große Teams zu benötigen. Durch die Automatisierung sich wiederholender Aufgaben ermöglicht Fine Startup-Teams, sich auf Innovation zu konzentrieren und ihre Markteinführungszeit zu verkürzen. Interessiert, es auszuprobieren? Melden Sie sich noch heute bei Fine an und sehen Sie, wie KI Ihre Codierungsreise stärken und Ihrem Startup helfen kann, effizient zu skalieren. Mit KI in Ihrem Werkzeugkasten sieht die Zukunft der Programmierung vielversprechender aus als je zuvor. 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 | 2026-01-13T08:49:35 |
https://opensource.org/press-mentions/publication/zdnet | ZDNET – 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 ZDNET Publication: ZDNET September 16, 2025 The Open Source Initiative’s executive director departs – what it means for the OSAID debate ZDNET Stefano Maffulli, the group’s first executive director, is set to step down in October to pursue work in open-source AI and data governance. Under Maffulli’s leadership since 2021, OSI moved from a volunteer-centric group to a globally recognized nonprofit, notably releasing the Open Source AI Definition (OSAID) 1.0, which, like the name suggests, established a standard for open-source AI licensing. August 26, 2025 No, Grok 2.5 has not been open-sourced. Here’s how you can tell ZDNET Leaving aside the Open Source Initiative (OSI) Open Source AI Definition (OSAID), which Grok doesn’t come close to meeting, the code also fails by the more broadly accepted open-source definitions. February 5, 2025 Why Mark Zuckerberg wants to redefine open source so badly ZDNET OSI executive director Stefano Maffulli told me. “If only Meta’s license would remove the restrictions, we’d be more in sync. As it stands now, Llama is a liability for any developer; too opaque to be safe to use and with a license that ultimately leaves Meta in charge of their innovations. February 3, 2025 Red Hat’s take on open-source AI: Pragmatism over utopian dreams ZDNET Fontana also warns against overreach in defining openness, advocating for minimal standards rather than utopian ideals. “The Open Source Definition (OSD) worked because it set a floor, not a ceiling. AI definitions should focus on licensing clarity first, not burden developers with impractical transparency mandates.” December 23, 2024 5 biggest Linux and open-source stories of 2024: From AI arguments to security close calls ZDNET While the details are still being worked out, there can be no question whatsoever that AI and open source will continue to work together. November 6, 2024 The best open-source AI models: All your free-to-use options explained ZDNET The Open Source Initiative (OSI) recently introduced the Open Source AI Definition (OSAID) to clarify what qualifies as genuinely open-source AI. To meet OSAID standards, a model must be fully transparent in its design and training data, enabling users to recreate, adapt, and use it freely. October 30, 2024 We have an official open-source AI definition now, but the fight is far from over ZDNET The Open Source Initiative (OSI) released Open Source AI Definition (OSAID) 1.0 on Oct. 28, 2024, at the All Things Open conference. Creating it wasn’t easy. It took the OSI almost two years to create and set up the OSAID. October 9, 2024 Open-source AI definition finally gets its first release candidate – and a compromise ZDNET The OSI and allies are a step closer to an open-source artificial intelligence definition, and purists aren’t the only ones unhappy. August 23, 2024 We’re a big step closer to defining open source AI – but not everyone is happy ZDNET The OSI has been working diligently on creating a comprehensive definition for open-source AI, similar to the Open-Source Definition for software. This critical effort addresses the growing need for clarity in determining what makes up an open-source AI system at a time when many companies claim their AI models are open source without really being open at all, such as Meta’s Llama 3.1 August 22, 2024 Like it or not, this open source AI definition take a giant step forward ZDNET The OSI has been working diligently on creating a comprehensive definition for open-source AI, similar to the Open-Source Definition for software. This critical effort addresses the growing need for clarity in determining what makes up an open-source AI system at a time when many companies claim their AI models are open source without really being open at all, such as Meta’s Llama 3,1. July 31, 2024 A new White House report embraces open-source AI ZDNET The National Telecommunications and Information Administration (NTIA) issued a report supporting open-source and open models to promote innovation in AI, while emphasizing the need for vigilant risk monitoring. August 5, 2024 Can AI even be open source? It’s complicated ZDNET AI can’t exist without open source, but the top AI vendors are unwilling to commit to open-sourcing their programs and data sets. To complicate matters further, defining open-source AI is a messy issue that has yet to be settled. 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https://dev.to/page/brightdata-challenge-v25-05-07-contest-rules | Bright Data Real-Time AI Agents Challenge Contest Rules - 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 Bright Data Real-Time AI Agents Challenge Contest Rules Contest Announcement Bright Data Real-Time AI Agents Challenge Sponsored by Dev Community Inc.(" Sponsor ") NO ENTRY FEE. NO PURCHASE NECESSARY TO ENTER OR WIN. VOID WHERE PROHIBITED. We urge you to carefully read the terms and conditions of this Contest Landing Page located here and the DEV Community Inc. General Contest Official Rules located here ("Official Rules"), incorporated herein by reference. The following contest specific details on this Contest Announcement Page, together with the Official Rules , govern your participation in the named contest defined below (the "Contest"). Sponsor does not claim ownership rights in your Entry. 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https://www.loom.com | Free screen recorder for Mac and PC | Loom Skip to content Toggle menu close One video is worth a thousand words Easily record and share AI-powered video messages with your teammates and customers to supercharge productivity Millions of people across 400,000 companies choose Loom Get Loom for free View more New! Loom Rewind 2025 Loom customers recorded 93M videos this year, reducing the need for 245M meetings. Learn about the milestones and achievements that made 2025 unforgettable. Read the review Open in new window The easiest screen recorder you’ll ever use Record in a few clicks. Share anywhere. Collaborate better. Lightning fast screen recording Easily record your screen and camera. Record on any device using Loom’s Chrome extension , desktop app or mobile app . Download now 1:1 with Dereje 1:1 with Sonya Focus Work Quarterly Budget Meeting Project Review Q4 Campaign Results Results Report 0:00 So much more than a screen recorder Edit your videos like a pro Loom’s intuitive editor lets you trim, stitch clips, add eye-catching backgrounds, and even enhance your message with text, arrows, and box overlays. The result? Engaging videos you can deliver fast. Record now Can you show me how to require two-factor authentication for my team? Of course! Here’s a short walkthrough of the steps you’ll need to take: loom.com/share/28u2o923 Your browser does not support the video tag. Share or embed video anywhere you work From Google Workspace to Slack, Loom videos seamlessly integrate with hundreds of tools you use every day. Start sharing Your browser does not support the video tag. 👍 Great point! Yes! Really love this. Engage and connect with video Easily collaborate by adding emojis, comments, tasks and CTAs to your video message. Empower remote teams to communicate better across timezones using transcripts and captions in 50+ languages. Connect over video Keep your content safe Enterprise-grade security to keep your data and your customer’s data private and secure. We offer SSO, SCIM as well as custom data retention policies and privacy settings. Learn more Video messaging for all use cases Sales Personalize your pitch with video outreach to close more deals. Engineering Add visual context to your code to accelerate your sprints. Customer support Troubleshoot over video to reach resolutions faster. Design Share ideas and provide feedback over video to enhance designs. See all use cases Powerful features for easy, custom recordings Screen and camera recording Easy sharing and embedding Trim and stitch video clips Download and upload Transcriptions and closed captions Video privacy controls Custom background Video and viewer insights See all features From our blog How to use async video messaging to improve communication When to Choose Synchronous Vs. Asynchronous Communication This guide explores the intricacies of sync vs. async communication, helps you decide which is the best for your workflow, and introduces how screen recording like Loom bridges the gap between these communication styles. Read the article Let Loom AI Do the Work: Say Goodbye to Manual Documentation With new Loom AI workflows, you turn any Loom into a written doc to draft SOPs, file Jira tickets, and more. Read the article Explore our blog Open in new window Loom for Enterprise Loom for Enterprise helps teams securely manage and organize async video communication at scale Learn more Your browser does not support the video tag. Loom enables us to maximize our impact as a distributed company by helping us collaborate and share ideas more easily. Andrew Reynolds Design Lead , MetaLab ‘Loom has been the light of my life since you showed me it.’ – I never tire of hearing this from folks. Not even an investor... yet. Alexis Ohanian Founder , SevenSevenSix Loom allows me to connect more personally with people without having to do 75 different one-on-one calls, which is just impossible at scale. Katie Burke Chief People Officer , HubSpot My teammates and I love using Loom! It has saved us hundreds of hours by creating informative video tutorials instead of long emails or 1-on-1 trainings with customers. Erica Goodell Customer Success , Pearson Loom amplifies my communication with the team like nothing else has. It's a communication tool that should be in every executive's toolbox. David Okuinev Co-CEO , Typeform My new daily email habit. Begin writing an email. Get to the second paragraph and think 'what a time suck.' Record a Loom instead. Feel like 😎. Kieran Flanagan VP of Marketing , HubSpot Loom enables us to maximize our impact as a distributed company by helping us collaborate and share ideas more easily. Andrew Reynolds Design Lead , MetaLab ‘Loom has been the light of my life since you showed me it.’ – I never tire of hearing this from folks. Not even an investor... yet. Alexis Ohanian Founder , SevenSevenSix Loom powers great campaigns. Get Loom for free For Mac, Windows, iOS, and Android | 2026-01-13T08:49:35 |
https://ma.tt/2025/12/dhh-open-source/ | DHH & Open Source | Matt Mullenweg Matt Mullenweg Unlucky in Cards DHH & Open Source December 8, 2025 Asides Matt I might have a new prayer: God, give me confidence of DHH claiming his proprietary license is Open Source . 37signals/Basecamp has a great new product called Fizzy , whose brilliance and innovative qualities are being distracted from by its co-creator David Heinmeier Hansson’s insistence on calling it open source. “One more thing… Fizzy is open source and 100% free to run yourself.” Thanks to Freedom of Speech, DHH is free to describe his proprietary software as Open Source, a form of greenwashing , and even though he wants to “Well akshually” denigrate those saying why this is BS , we as free citizens are free to explain why, despite how fast he talks and confident he sounds, he’s not always right. Myself and other “Actually Open Source” leaders (including DHH) who release software under licenses that meet a common definition of Open Source benefit from decades of prior art and an incredible foundation that lays out the philosophy and definition of what defines open source. For the layperson, though, it might be helpful to break things down in an analogy of authoritarian vs democratic regimes, or a core question of who holds the power. Proprietary licenses may grant things that feel like freedoms; for example, Fizzy’s O’Saasy license lets you download the source code, run it yourself, modify it, and use a public bug tracker, and you can see the software’s source control history . That’s cool! Also, in the past several years, there have been Middle Eastern countries that have just now allowed women to drive cars. That’s great! However, as a free person choosing to use this software, or choosing to live in a country, you have to ask yourself: Am I still free? No, you’re not. You are allowed to do some things that are in and of themselves good, but ultimately, it’s not built on a foundation of an inalienable right or constitution; it’s at the whim of the leader. O’Saasy license has this restriction : No licensee or downstream recipient may use the Software (including any modified or derivative versions) to directly compete with the original Licensor by offering it to third parties as a hosted, managed, or Software-as-a-Service (SaaS) product or cloud service where the primary value of the service is the functionality of the Software itself. Oh wow, I can’t compete with the leader. In how they choose to operate their business today, or however they might choose to in the future. My freedoms are at their whim. This violates rule 5 of the OSI definition of Open Source: “The license must not discriminate against any person or group of persons.” I’d like to choose software and live in a society that doesn’t discriminate. It’s not uncommon for people trying to take away your freedom to want to use the same words as those in truly free societies. North Korea calls itself the Democratic People’s Republic of Korea. Why? Per Google’s AI : Socialist Definition of Democracy During the Cold War, the Soviet Union and its allies used “democracy” to mean “people’s power” through a single ruling party, representing the working class, as opposed to the multi-party “bourgeois” democracy of the West. North Korea adopted this lexicon, as did other communist states like the German Democratic Republic (East Germany). Yeah, really democratic. In that sense, you can say O’Saasy is an “open” “source” license. Perhaps a bubble of people will agree with you. But the rest of the world will use common sense and see that as a fraud . And most disappointingly for 37signals , a company that prides itself on high integrity, it’s false advertising . (For what it’s worth, I tried to resolve this quietly with Jason Fried a few days ago .) Share this: Click to share on Tumblr (Opens in new window) Tumblr Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Pocket (Opens in new window) Pocket Click to share on Telegram (Opens in new window) Telegram Click to email a link to a friend (Opens in new window) Email Related Post navigation ← Happy Birthday Kinsey Dries OSS → 11 thoughts on “ DHH & Open Source ” Jesse Friedman says: December 8, 2025 at 11:51 pm > Oh wow, I can’t compete with the leader. In how they choose to operate their business today, or however they might choose to in the future. My freedoms are at their whim. This violates rule 5 of the OSI definition of Open Source: “The license must not discriminate against any person or group of persons.” Reminds me of how social media platforms encourage you to invest time, money, and even customer loyalty into building a brand on top of an shaky algorithm that you ultimately don’t control. You’re required to play by their rules, operate within their guardrails, and work towards “mutual benefit,” that is until the social media platform decides you’re no longer relevant. Thanks for sharing Matt. Reply hamideza says: December 9, 2025 at 12:25 am It seems to be open source but not free. Reply Xavier says: December 9, 2025 at 1:16 am The enshittification of DHH continues apace. Reply Ali Reza Hayati says: December 9, 2025 at 4:15 am Very well written Matt. These posts, aside from proving such people wrong, can lead to more people getting to know free (as in freedom) and open source software. Thanks a lot. Reply Derrick Wesley Tennant says: December 9, 2025 at 6:59 am It’s the “free as in speech” and “free as in beer” issue that’s been going on for decades, unfortunately. Just because something is open source doesn’t mean it’s Open Source. The language is tricky and can either intentionally or accidentally be weaponized against truly free software. Over long enough timelines, true Open Source will always come out on top. Reply Devin Walker says: December 9, 2025 at 11:21 am The moment a license says “you can use this, but you can’t compete,” it crosses out of open source and into controlled source, full stop. I get the business motivation behind that restriction, but words still matter, especially for those of us who have built real communities and companies on actual open licenses. And the thing is, if this were truly open source, DHH and 37signals would still have powerful protections through trademarks and brand. It’s not like I could realistically spin up “BetterFizzy.io,” use their marks, or outpace their roadmap without massive funding and execution. Open source does not mean forfeiting control of your brand or your business direction. They have the right to choose whatever license they want for Fizzy, but redefining “open source” to fit a business model is where the line gets crossed and where trust starts to erode. Reply Brock says: December 9, 2025 at 6:07 pm Very well written, and I’m happy that someone finally exposed DHH’s hypocrisy. I don’t know how they manage to hype their products. it’s always just a to-do application with some flashy colors, and then DHH markets it as if it’s some kind of AGI breakthrough Reply Pingback: Dries OSS | Matt Mullenweg Matt says: December 9, 2025 at 7:36 pm Jose Canciani has a good point that “Criterion #6 fits better with your complaint” — https://x.com/josecanciani/status/1998589099389944171 Reply Pingback: WPSE 373: Problem med e-postutskick i WordPress 6.9 – WPSE Pingback: Celebrating Generosity and Growth in the OSI Community – Open Source Initiative SHARE YOUR THOUGHTS Cancel reply Proudly powered by WordPress Menu Skip to content Home About Contact Distributed X Telegram Let’s Work Together Search for: Loading Comments... Write a Comment... Email (Required) Name (Required) Website | 2026-01-13T08:49:35 |
https://www.etsi.org/newsroom/press-releases/2587-etsi-elects-three-prominent-leaders-to-drive-the-creation-of-new-standards-under-the-eu-cyber-resilience-act | ETSI - ETSI Elects Three Prominent Leaders to Drive the Creation of New Standards under the EU Cyber Resilience Act Connect with us: Sign up for ETSI news |     Member Portal Standards Technologies Committees Membership Education About IPR Research Events Newsroom Media Library Algorithms & codes Work at ETSI Contact us Search Standards Search Website SEARCH ↖ Select to search Standards or Website Back ETSI Elects Three Prominent Leaders to Drive the Creation of New Standards under the EU Cyber Resilience Act News Press Releases Magazine Blogs Press contact Share Facebook Twitter LinkedIn Print Email RSS Sandra Feliciano, Dr George Sharkov, and Simon Phipps to lead ETSI’s EUSR Working Group developing European standards for the Act Sophia Antipolis, France, 16 September 2025 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. Sandra Feliciano is Adjunct Professor at the School of Management and Technology at Polytechnic of Porto and offers two decades of consulting, auditing and research experience. Recognised for bridging academia and standardisation, she has founded several technical committees and led the development of standards and accredited certification schemes across healthcare, aerospace, education and ICT. “ I am delighted to lead such a diverse team of highly talented experts at CYBER-EUSR, ” said Sandra Feliciano. “ As ransomware and Advanced Persistent Threats (APTs) continue to plague Europe, and the rest of the world, developing robust standards is essential to strengthening cybersecurity across Europe .” Dr. George Sharkov is Associate Professor at the Institute for ICT at the Bulgarian Academy of Sciences. He brings 30 years of experience developing complex software, cyber resilient systems and trustworthy AI. George is currently representing European digital SMEs (Small Medium Enterprises) and SBS (Small Business Standards) in ETSI TC CYBER and Securing AI, and ENISA/EC ad-hoc groups. “ I’m excited to join my fellow ETSI members to develop standards that will protect and safeguard businesses across Europe, ” said Dr George Sharkov. “ SMEs are some of the most vulnerable and targeted organisations by bad actors, so creating standards that can be adopted to mitigate against ever-evolving threats will be essential .” Simon Phipps is currently the Director of Standards and EU Policy at the Open Source Initiative (OSI) and OSI Europe Foundation. He has previously served as a volunteer board member and board President at OSI. He was also a founding director of the Open Mobile Alliance. Prior to this he worked for IBM and Unisys in networked software and quality assurance roles. “ I’d like to thank my fellow members for the trust they have placed in me as a Vice-Chair of this vital working group, ” said Simon Phipps. “ We’ll be leveraging all the advantages and threats tied to open source software in the development of secure new standards for the EC .” ETSI is currently leading technical work for multiple vertical standards under the CRA for nearly 20 different product families. These include items that are exposed to greater risk of compromise such as password managers, anti-virus software, smart home assistants, connected toys and wearables. These standards will help manufacturers demonstrate compliance and ensure consistent implementation across the EU. Visit the full CYBER-EUSR Work Programme at: https://portal.etsi.org/tb.aspx?tbid=919&SubTB=919#/ About ETSI ETSI is one of only three bodies officially recognised by the European Union as a European Standards Organisation (ESO). It is an independent, not-for-profit body dedicated to ICT standardisation. With over 900 member organisations from more than 60 countries across five continents, ETSI offers an open and inclusive environment for members representing large and small private companies, research institutions, academia, governments, and public organisations. ETSI supports the timely development, ratification, and testing of globally applicable standards for ICT‑enabled systems, applications, and services across all sectors of industry and society. 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https://dev.to/fosres/master-iptables-security-4-production-ready-firewall-scenarios-860 | Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables - 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 fosres Posted on Jan 12 Week 4 Firewall Labs: 4 Production-Ready Firewall Scenarios with iptables # security # linux # networking # cybersecurity Introduction Understanding iptables is a fundamental skill for Security Engineers, System Administrators, and DevOps professionals. Yet most engineers learn iptables through toy examples that don't reflect real-world complexity. This article presents four production-grade security scenarios that will test your understanding of: Stateful firewalls and connection tracking NAT configurations (DNAT, SNAT, MASQUERADE) Defense-in-depth security controls Attack surface reduction through network segmentation Security logging and monitoring These labs are designed to prepare you for actual Security Engineering interviews and on-the-job firewall configuration. Each scenario includes detailed network diagrams, specific requirements, and security constraints you'd encounter in production environments. Time commitment: 5-7 hours total for all scenarios Difficulty: Intermediate to Advanced Prerequisites: Basic understanding of TCP/IP, Linux command line, and iptables syntax Sources & References These labs are based on industry-standard security engineering practices and curriculum materials: Grace Nolan's Security Engineering Notes - github.com/gracenolan/Notes - Comprehensive security interview preparation resource Complete 48-Week Security Engineering Curriculum (Pages 13-14) - Networking fundamentals and firewall configuration methodology All exercises follow production security best practices for enterprise firewall configurations. Scenario 1: Startup Web Application Firewall Difficulty: ⭐⭐☆☆☆ (Intermediate) Time estimate: 60-90 minutes You are the first Security Engineer at a startup. The engineering team has deployed their web application and asks you to configure the server's firewall. Network Diagram INTERNET │ │ │ ┌───────────────────┴───────────────────┐ │ │ │ │ ┌───────┴───────┐ ┌───────┴───────┐ │ Legitimate │ │ Attackers │ │ Users │ │ (anywhere) │ │ │ │ │ └───────┬───────┘ └───────┬───────┘ │ │ │ │ └───────────────────┬───────────────────┘ │ │ ┌────────┴────────┐ │ │ │ Web Server │ │ │ │ 104.196.45.120 │ │ │ │ Services: │ │ - HTTPS (443) │ │ - SSH (22) │ │ │ │ eth0 (public) │ │ │ └─────────────────┘ Enter fullscreen mode Exit fullscreen mode Requirements The web application must be accessible via HTTPS from anywhere on the internet SSH must only be accessible from the CTO's home IP: 73.189.45.22 The server must be able to resolve DNS to function properly The server must be able to download security updates from Ubuntu repositories Protect SSH from brute force attacks (max 4 attempts per minute) Drop all other inbound traffic Log dropped packets for security monitoring Your Task Write a complete iptables firewall configuration for this server. Include comments explaining each rule. Hint: Remember that your server needs to initiate outbound connections for DNS and package updates. Don't forget the loopback interface! Scenario 2: Corporate Network with DMZ Difficulty: ⭐⭐⭐⭐☆ (Advanced) Time estimate: 2-3 hours You've been hired as a Security Engineer at a mid-size company. They have a standard three-tier network architecture and need you to configure the firewall that sits between all three zones. Network Diagram INTERNET │ │ ┌────────┴────────┐ │ ISP Router │ │ (not managed) │ └────────┬────────┘ │ │ 203.0.113.1 (gateway) │ ┌─────────────────────────────────────────────────────────────────────────────────────┐ │ │ │ FIREWALL │ │ │ │ eth0 (WAN) eth1 (DMZ) eth2 (LAN) │ │ 203.0.113.10 10.0.1.1 10.0.0.1 │ │ │ └─────────┬─────────────────────────────┬─────────────────────────────┬───────────────┘ │ │ │ │ │ │ │ ┌────────┴────────┐ ┌────────┴────────┐ │ │ DMZ Network │ │ LAN Network │ │ │ 10.0.1.0/24 │ │ 10.0.0.0/24 │ │ └────────┬────────┘ └────────┬────────┘ │ │ │ │ ┌─────────────┼─────────────┐ │ │ │ │ │ │ │ ┌──────┴──────┐ ┌────┴────┐ ┌──────┴──────┐ ┌──────┴──────┐ │ │ Web Server │ │ Mail │ │ DNS Server │ │ Employee │ │ │ 10.0.1.10 │ │ Server │ │ 10.0.1.30 │ │ Workstations│ │ │ │ │10.0.1.20│ │ │ │10.0.0.50-200│ │ │ HTTPS: 443 │ │ │ │ DNS: 53 │ │ │ │ │ HTTP: 80 │ │SMTP: 25 │ │ │ │ │ │ └─────────────┘ │IMAPS:993│ └─────────────┘ └─────────────┘ │ └─────────┘ │ │ ┌──────┴──────┐ │ Admin VPN │ │ Endpoint │ │ │ │ 198.51.100.50│ │ │ │ (needs SSH │ │ to all DMZ │ │ servers) │ └─────────────┘ Enter fullscreen mode Exit fullscreen mode Traffic Flow Requirements Source Destination Service Port(s) Allow? Internet Web Server HTTPS 443 Yes Internet Web Server HTTP 80 Yes (redirect to HTTPS) Internet Mail Server SMTP 25 Yes Internet Mail Server IMAPS 993 Yes Internet DNS Server DNS 53/udp, 53/tcp Yes Admin VPN (198.51.100.50) All DMZ Servers SSH 22 Yes Employee Workstations Internet HTTP/HTTPS 80, 443 Yes Employee Workstations Internet DNS 53 Yes DMZ Servers Internet DNS 53 Yes (for updates) DMZ Servers Internet HTTP/HTTPS 80, 443 Yes (for updates) Any Any ICMP ping - Rate limited Everything else - - - DROP and LOG Security Requirements Brute Force Protection: SSH must be protected against brute force (max 5 attempts per 60 seconds per source IP) Port Scan Detection: Block packets with invalid TCP flag combinations (NULL, XMAS, SYN+FIN) SYN Flood Protection: Rate limit incoming SYN packets to 50/second Connection Limits: No single IP can have more than 50 concurrent connections to any server Logging: All dropped traffic must be logged with appropriate prefixes NAT: External users access DMZ services via the firewall's public IP (203.0.113.10) Internal users and DMZ servers access internet via MASQUERADE Your Task Write a complete iptables firewall configuration for this corporate network. This firewall handles traffic between all three zones. Critical considerations: Use the FORWARD chain for traffic passing through the firewall Implement DNAT in PREROUTING for inbound services Use MASQUERADE in POSTROUTING for outbound NAT Apply security controls (rate limiting, logging) before ACCEPT rules Scenario 3: Remote File Server Debugging Difficulty: ⭐⭐☆☆☆ (Intermediate) Time estimate: 60-90 minutes You're a Security Consultant hired to debug a broken firewall. A company has a cloud-hosted file server that developers access remotely. The firewall was configured by a contractor who is no longer available, and multiple issues have been reported. Network Diagram SEATTLE OFFICE (NAT Router) ┌─────────────────┐ WAN: 52.12.45.100 │ │ LAN: 192.168.1.0/24 │ DEVELOPER A │ │ │ ┌─────────────────┐ │ 192.168.1.50 │─────│ NAT Router │─────┐ │ │ └─────────────────┘ │ │ Needs: │ │ │ - HTTPS │ │ │ - SSH │ │ │ │ │ └─────────────────┘ │ │ │ INTERNET │ │ │ │ │ ┌───────────────────────────┴───────────────────┘ │ │ │ AUSTIN OFFICE │ (NAT Router) │ WAN: 104.210.32.55 │ LAN: 192.168.1.0/24 │ │ ┌─────────────────┐ └───│ NAT Router │ └────────┬────────┘ │ │ ┌────────────┴─────────┐ │ │ │ DEVELOPER B │ │ │ │ 192.168.1.75 │ │ │ │ Needs: │ │ - HTTPS │ │ - SSH │ │ │ └──────────────────────┘ ┌─────────────────┐ │ │ │ FILE SERVER │ │ │ │ 20.141.12.34 │ │ │ │ Services: │ │ - HTTPS (443) │ │ - SSH (22) │ │ │ └─────────────────┘ Enter fullscreen mode Exit fullscreen mode Current File Server Firewall (BROKEN) # Chain policies iptables -P INPUT DROP iptables -P FORWARD DROP iptables -P OUTPUT DROP # Input rules iptables -A INPUT -m conntrack --ctstate RELATED,ESTABLISHED -j ACCEPT iptables -A INPUT -p tcp -d 20.141.12.34 --dport 443 -j ACCEPT iptables -A INPUT -p tcp -s 192.168.1.50 -d 20.141.12.34 --dport 22 -j ACCEPT iptables -A INPUT -p tcp -s 192.168.1.75 -d 20.141.12.34 --dport 22 -j ACCEPT # Output rules iptables -A OUTPUT -m conntrack --ctstate ESTABLISHED -j ACCEPT Enter fullscreen mode Exit fullscreen mode Reported Problems Seattle developer can access HTTPS but cannot SSH to the server Austin developer can access HTTPS but cannot SSH to the server Neither developer can ping the server Server cannot download security updates Server cannot resolve DNS names Your Task Part A: Root Cause Analysis For each reported problem, explain the root cause. Why is the current configuration failing? Part B: Write the Fixed Firewall Write a corrected firewall configuration that: Fixes all reported problems Allows HTTPS from anywhere Allows SSH from both office public IPs Allows ping (rate limited) Allows server to download updates and resolve DNS Logs dropped packets Critical insight: Remember that NAT routers translate private IPs to public IPs. The file server sees the WAN IP, not the LAN IP! Scenario 4: Multi-Tier Application with Bastion Host Difficulty: ⭐⭐⭐⭐⭐ (Expert) Time estimate: 2-3 hours Your company runs a production application in AWS. Security policy requires all administrative access go through a bastion (jump) host. You're configuring the bastion's firewall. Network Diagram INTERNET │ │ ┌────────────────────────────┴────────────────────────────┐ │ │ │ │ ┌────────┴────────┐ │ │ │ │ │ Security Team │ │ │ Office NAT │ │ │ │ │ │ WAN: 198.51.100.10 │ │ LAN: 10.50.0.1 │ │ │ │ │ └────────┬────────┘ │ │ │ ┌────────┴────────┐ │ │ Security │ │ │ Engineers │ │ │ │ │ │ 10.50.0.20-30 │ │ │ │ │ │ Needs SSH to: │ │ │ - Bastion │ │ │ - App servers │ │ │ (via bastion)│ │ └─────────────────┘ │ │ │ ┌─────────────────────────────────────────┘ │ │ ┌────────┴────────┐ │ AWS VPC │ │ 10.0.0.0/16 │ │ │ └────────┬────────┘ │ ┌────────────────────┼────────────────────┐ │ │ │ │ │ │ ┌────────┴────────┐ ┌────────┴────────┐ ┌───────┴─────────┐ │ PUBLIC SUBNET │ │ PRIVATE SUBNET │ │ DATABASE SUBNET │ │ 10.0.1.0/24 │ │ 10.0.2.0/24 │ │ 10.0.3.0/24 │ │ │ │ │ │ │ │ ┌─────────────┐ │ │ ┌─────────────┐ │ │ ┌─────────────┐ │ │ │ BASTION │ │ │ │ App Server │ │ │ │ Database │ │ │ │ │ │ │ │ #1 │ │ │ │ Primary │ │ │ │ eth0: │ │ │ │ │ │ │ │ │ │ │ │ 10.0.1.10 │ │ │ │ 10.0.2.10 │ │ │ │ 10.0.3.10 │ │ │ │ (has EIP: │ │ │ │ │ │ │ │ │ │ │ │ 54.23.45.67)│ │ │ └─────────────┘ │ │ └─────────────┘ │ │ │ │ │ │ │ │ │ │ │ eth1: │ │ │ ┌─────────────┐ │ │ ┌─────────────┐ │ │ │ 10.0.2.1 │ │ │ │ App Server │ │ │ │ Database │ │ │ │ (private │ │ │ │ #2 │ │ │ │ Replica │ │ │ │ subnet gw) │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10.0.2.11 │ │ │ │ 10.0.3.11 │ │ │ └─────────────┘ │ │ │ │ │ │ │ │ │ │ │ │ └─────────────┘ │ │ └─────────────┘ │ └─────────────────┘ └─────────────────┘ └─────────────────┘ Traffic Flows: - Security Team SSHs to Bastion (via NAT router WAN IP) - Bastion SSHs to App Servers (internal) - App Servers need outbound HTTP/HTTPS/DNS (via Bastion NAT) - App Servers connect to Database (internal, no NAT) - Database has NO internet access (strict isolation) Enter fullscreen mode Exit fullscreen mode Requirements External SSH to Bastion: Only Security Team office (public IP: 198.51.100.10) can SSH to Bastion Rate limit: 3 attempts per minute (strict security) Log all SSH attempts (successful and blocked) Bastion to Internal SSH: Bastion can SSH to App Servers (10.0.2.0/24) only Bastion CANNOT SSH to Database subnet (10.0.3.0/24) — separation of duties DBA team has separate access path (not your concern) NAT Gateway Function: App Servers access internet via Bastion (MASQUERADE) Restricted egress: DNS (53), HTTP (80), HTTPS (443) only Log denied egress attempts Database Isolation: NO traffic from Bastion to Database subnet NO traffic from Database subnet through Bastion This is enforced at Bastion level as defense-in-depth Port Scan Detection: Detect and log NULL, XMAS, SYN+FIN scans on external interface Drop invalid packets Your Task Write the complete Bastion host firewall configuration. Remember: Enable IP forwarding: echo 1 > /proc/sys/net/ipv4/ip_forward Use INPUT for traffic destined to the bastion itself Use OUTPUT for traffic originating from the bastion Use FORWARD for traffic passing through the bastion Database isolation rules must appear BEFORE any ACCEPT rules Defense-in-depth principle: Even though AWS Security Groups might block database access, the bastion's firewall enforces this rule as well. Grading Rubric Overall Evaluation Criteria Criterion Points Correct chain selection (INPUT/OUTPUT/FORWARD) 15 Proper stateful rules (ESTABLISHED,RELATED first) 15 Correct NAT configuration (DNAT/SNAT/MASQUERADE) 15 Understanding of NAT IP translation 15 Brute force protection implementation 10 Port scan detection rules 10 Proper logging configuration 5 Complete solution (no missing rules) 10 Correct syntax 5 Total: 100 points Passing Score: 85% Answer Key ⚠️ Attempt all scenarios before viewing the answer key! These solutions represent one valid approach, but multiple correct solutions exist. Scenario 1: Startup Web Application - Solution #!/bin/bash # Startup Web Application Firewall # Server IP: 104.196.45.120 # CTO Home IP: 73.189.45.22 # Default policies (drop everything by default) iptables -P INPUT DROP iptables -P OUTPUT DROP iptables -P FORWARD DROP # Connection tracking - ACCEPT established connections first (performance) iptables -A INPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT iptables -A OUTPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT # Loopback interface (required for local services) iptables -A INPUT -i lo -j ACCEPT iptables -A OUTPUT -o lo -j ACCEPT # HTTPS from anywhere (public web service) iptables -A INPUT -p tcp --dport 443 -j ACCEPT # SSH with brute force protection (CTO only) # Track SSH attempts - mark source IP when SSH attempt occurs iptables -A INPUT -p tcp -s 73.189.45.22 --dport 22 -m conntrack --ctstate NEW -m recent --set # Rate limit: Drop if >4 attempts in 60 seconds iptables -A INPUT -p tcp --dport 22 -m conntrack --ctstate NEW -m recent --update --seconds 60 --hitcount 4 -j DROP # Accept SSH from CTO if under rate limit iptables -A INPUT -p tcp -s 73.189.45.22 --dport 22 -j ACCEPT # DNS resolution (TCP and UDP, both needed) iptables -A OUTPUT -p udp --dport 53 -j ACCEPT iptables -A OUTPUT -p tcp --dport 53 -j ACCEPT # Package updates (HTTP and HTTPS) iptables -A OUTPUT -p tcp --dport 80 -j ACCEPT iptables -A OUTPUT -p tcp --dport 443 -j ACCEPT # Logging dropped packets iptables -A INPUT -j LOG --log-prefix "INPUT_DROPPED: " iptables -A OUTPUT -j LOG --log-prefix "OUTPUT_DROPPED: " # Default DROP (explicit for clarity, policies already set) iptables -A INPUT -j DROP iptables -A OUTPUT -j DROP Enter fullscreen mode Exit fullscreen mode Key concepts: Default DROP policies enforce "deny all, permit explicitly" Connection tracking reduces rules needed for return traffic recent module provides stateful rate limiting per source IP Both TCP and UDP DNS are required (TCP for large responses) Scenario 2: Corporate DMZ - Solution #!/bin/bash # Corporate Three-Tier Firewall # WAN: eth0 (203.0.113.10) # DMZ: eth1 (10.0.1.1) # LAN: eth2 (10.0.0.1) # Default policies iptables -P INPUT DROP iptables -P OUTPUT DROP iptables -P FORWARD DROP # Connection tracking (FORWARD is critical for router) iptables -A FORWARD -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT iptables -A INPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT iptables -A OUTPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT # Port scan detection (before other rules) iptables -A FORWARD -p tcp --tcp-flags ALL NONE -j LOG --log-prefix "PORT_SCAN_NULL: " iptables -A FORWARD -p tcp --tcp-flags ALL NONE -j DROP iptables -A FORWARD -p tcp --tcp-flags ALL ALL -j LOG --log-prefix "PORT_SCAN_XMAS: " iptables -A FORWARD -p tcp --tcp-flags ALL ALL -j DROP iptables -A FORWARD -p tcp --tcp-flags ALL SYN,FIN -j LOG --log-prefix "PORT_SCAN_SYNFIN: " iptables -A FORWARD -p tcp --tcp-flags ALL SYN,FIN -j DROP # SYN flood protection (custom chain for modularity) iptables -N syn_flood iptables -A FORWARD -p tcp --syn -j syn_flood iptables -A syn_flood -m limit --limit 50/s -j RETURN iptables -A syn_flood -m limit --limit 5/s -j LOG --log-prefix "SYN_FLOOD: " iptables -A syn_flood -j DROP # ICMP rate limiting iptables -A FORWARD -p icmp -m limit --limit 50/s -j ACCEPT iptables -A FORWARD -p icmp -j LOG --log-prefix "ICMP_FLOOD: " iptables -A FORWARD -p icmp -j DROP # NAT - DNAT for inbound services (PREROUTING, before routing decision) # Internet → Web Server (HTTP/HTTPS) iptables -t nat -A PREROUTING -i eth0 -p tcp --dport 80 -j DNAT --to-destination 10.0.1.10:80 iptables -t nat -A PREROUTING -i eth0 -p tcp --dport 443 -j DNAT --to-destination 10.0.1.10:443 # Internet → Mail Server (SMTP/IMAPS) iptables -t nat -A PREROUTING -i eth0 -p tcp --dport 25 -j DNAT --to-destination 10.0.1.20:25 iptables -t nat -A PREROUTING -i eth0 -p tcp --dport 993 -j DNAT --to-destination 10.0.1.20:993 # Internet → DNS Server iptables -t nat -A PREROUTING -i eth0 -p udp --dport 53 -j DNAT --to-destination 10.0.1.30:53 iptables -t nat -A PREROUTING -i eth0 -p tcp --dport 53 -j DNAT --to-destination 10.0.1.30:53 # NAT - MASQUERADE for outbound traffic (POSTROUTING, after routing decision) iptables -t nat -A POSTROUTING -s 10.0.1.0/24 -o eth0 -j MASQUERADE iptables -t nat -A POSTROUTING -s 10.0.0.0/24 -o eth0 -j MASQUERADE # FORWARD rules (traffic passing through firewall) # Internet → Web Server (with connection limits) iptables -A FORWARD -p tcp -m connlimit --connlimit-above 50 -i eth0 -o eth1 -d 10.0.1.10 --dport 80 -j LOG --log-prefix "WEB_CONN_LIMIT: " iptables -A FORWARD -p tcp -m connlimit --connlimit-above 50 -i eth0 -o eth1 -d 10.0.1.10 --dport 80 -j DROP iptables -A FORWARD -p tcp -i eth0 -o eth1 -d 10.0.1.10 --dport 80 -j ACCEPT iptables -A FORWARD -p tcp -m connlimit --connlimit-above 50 -i eth0 -o eth1 -d 10.0.1.10 --dport 443 -j LOG --log-prefix "WEB_CONN_LIMIT: " iptables -A FORWARD -p tcp -m connlimit --connlimit-above 50 -i eth0 -o eth1 -d 10.0.1.10 --dport 443 -j DROP iptables -A FORWARD -p tcp -i eth0 -o eth1 -d 10.0.1.10 --dport 443 -j ACCEPT # Internet → Mail Server iptables -A FORWARD -p tcp -i eth0 -o eth1 -d 10.0.1.20 --dport 25 -j ACCEPT iptables -A FORWARD -p tcp -i eth0 -o eth1 -d 10.0.1.20 --dport 993 -j ACCEPT # Internet → DNS Server iptables -A FORWARD -p udp -i eth0 -o eth1 -d 10.0.1.30 --dport 53 -j ACCEPT iptables -A FORWARD -p tcp -i eth0 -o eth1 -d 10.0.1.30 --dport 53 -j ACCEPT # Admin VPN → DMZ SSH (with brute force protection) iptables -A FORWARD -p tcp -s 198.51.100.50 -i eth0 -o eth1 -d 10.0.1.0/24 --dport 22 -m conntrack --ctstate NEW -m recent --set iptables -A FORWARD -p tcp -s 198.51.100.50 -d 10.0.1.0/24 --dport 22 -m conntrack --ctstate NEW -m recent --update --seconds 60 --hitcount 5 -j DROP iptables -A FORWARD -p tcp -s 198.51.100.50 -i eth0 -o eth1 -d 10.0.1.0/24 --dport 22 -j ACCEPT # Employee workstations → Internet iptables -A FORWARD -i eth2 -o eth0 -s 10.0.0.0/24 -p tcp -m multiport --dports 80,443 -j ACCEPT iptables -A FORWARD -i eth2 -o eth0 -s 10.0.0.0/24 -p udp --dport 53 -j ACCEPT iptables -A FORWARD -i eth2 -o eth0 -s 10.0.0.0/24 -p tcp --dport 53 -j ACCEPT # DMZ servers → Internet (updates) iptables -A FORWARD -i eth1 -o eth0 -s 10.0.1.0/24 -p tcp -m multiport --dports 80,443 -j ACCEPT iptables -A FORWARD -i eth1 -o eth0 -s 10.0.1.0/24 -p udp --dport 53 -j ACCEPT iptables -A FORWARD -i eth1 -o eth0 -s 10.0.1.0/24 -p tcp --dport 53 -j ACCEPT # Loopback for firewall itself iptables -A INPUT -i lo -j ACCEPT iptables -A OUTPUT -o lo -j ACCEPT # Allow firewall to resolve DNS and perform updates iptables -A OUTPUT -p udp --dport 53 -j ACCEPT iptables -A OUTPUT -p tcp --dport 53 -j ACCEPT iptables -A OUTPUT -p tcp --dport 80 -j ACCEPT iptables -A OUTPUT -p tcp --dport 443 -j ACCEPT # ICMP for firewall itself iptables -A OUTPUT -p icmp -j ACCEPT # Final logging iptables -A FORWARD -j LOG --log-prefix "FORWARD_DROPPED: " iptables -A INPUT -j LOG --log-prefix "INPUT_DROPPED: " iptables -A OUTPUT -j LOG --log-prefix "OUTPUT_DROPPED: " Enter fullscreen mode Exit fullscreen mode Key concepts: DNAT happens in PREROUTING (before routing decision) MASQUERADE happens in POSTROUTING (after routing decision) Security controls (port scan detection, rate limiting) go BEFORE ACCEPT rules Connection tracking eliminates need for explicit return traffic rules -i and -o specify interfaces to prevent routing loops Scenario 3: Remote File Server - Solution Part A: Root Cause Analysis Problem 1 (Seattle SSH fails): The File Server exists outside Seattle's LAN. The source address 192.168.1.50 is meaningless to the File Server because NAT translates it to 52.12.45.100 . The firewall rule: iptables -A INPUT -p tcp -s 192.168.1.50 -d 20.141.12.34 --dport 22 -j ACCEPT Enter fullscreen mode Exit fullscreen mode Should be: iptables -A INPUT -p tcp -s 52.12.45.100 -d 20.141.12.34 --dport 22 -j ACCEPT Enter fullscreen mode Exit fullscreen mode Problem 2 (Austin SSH fails): Similar problem - the firewall rule: iptables -A INPUT -p tcp -s 192.168.1.75 -d 20.141.12.34 --dport 22 -j ACCEPT Enter fullscreen mode Exit fullscreen mode Should be: iptables -A INPUT -p tcp -s 104.210.32.55 -d 20.141.12.34 --dport 22 -j ACCEPT Enter fullscreen mode Exit fullscreen mode Problem 3 (Ping fails): No ICMP rules exist in the INPUT chain. Add: iptables -A INPUT -p icmp -d 20.141.12.34 -j ACCEPT Enter fullscreen mode Exit fullscreen mode Problem 4 (No updates): The OUTPUT chain has no rule for HTTP/HTTPS. Add: iptables -A OUTPUT -p tcp -m multiport --dports 80,443 -j ACCEPT Enter fullscreen mode Exit fullscreen mode Problem 5 (DNS fails): The OUTPUT chain has no DNS rules. Add: iptables -A OUTPUT -p tcp --dport 53 -j ACCEPT iptables -A OUTPUT -p udp --dport 53 -j ACCEPT Enter fullscreen mode Exit fullscreen mode Part B: Fixed Firewall #!/bin/bash # Fixed File Server Firewall # Server IP: 20.141.12.34 # Seattle Office WAN: 52.12.45.100 # Austin Office WAN: 104.210.32.55 iptables -F # Chain policies iptables -P INPUT DROP iptables -P FORWARD DROP iptables -P OUTPUT DROP # Connection tracking iptables -A INPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT iptables -A OUTPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT # Loopback iptables -A INPUT -i lo -j ACCEPT iptables -A OUTPUT -o lo -j ACCEPT # HTTPS from anywhere iptables -A INPUT -p tcp -d 20.141.12.34 --dport 443 -j ACCEPT # SSH from Seattle Office (public IP) iptables -A INPUT -p tcp -s 52.12.45.100 -d 20.141.12.34 --dport 22 -j ACCEPT # SSH from Austin Office (public IP) iptables -A INPUT -p tcp -s 104.210.32.55 -d 20.141.12.34 --dport 22 -j ACCEPT # ICMP (rate limited) iptables -A INPUT -p icmp -d 20.141.12.34 -m limit --limit 5/min -j ACCEPT iptables -A INPUT -p icmp -d 20.141.12.34 -j LOG --log-prefix "ICMP_EXCEEDED: " iptables -A INPUT -p icmp -d 20.141.12.34 -j DROP # Server outbound for updates and DNS iptables -A OUTPUT -s 20.141.12.34 -p tcp -m multiport --dports 80,443 -j ACCEPT iptables -A OUTPUT -s 20.141.12.34 -p tcp --dport 53 -j ACCEPT iptables -A OUTPUT -s 20.141.12.34 -p udp --dport 53 -j ACCEPT # Final logging iptables -A INPUT -j LOG --log-prefix "INPUT_DROPPED: " iptables -A OUTPUT -j LOG --log-prefix "OUTPUT_DROPPED: " Enter fullscreen mode Exit fullscreen mode Key lesson: Always remember that NAT routers translate private IPs to public IPs. Servers behind NAT cannot see RFC 1918 addresses from remote locations. Scenario 4: Bastion Host - Solution #!/bin/bash # Bastion Host Firewall # Public Interface: eth0 (10.0.1.10, EIP: 54.23.45.67) # Private Interface: eth1 (10.0.2.1) # App Subnet: 10.0.2.0/24 # Database Subnet: 10.0.3.0/24 (BLOCKED) # Enable IP Forwarding echo 1 > /proc/sys/net/ipv4/ip_forward # Default policies iptables -P FORWARD DROP iptables -P INPUT DROP iptables -P OUTPUT DROP # Connection tracking (critical for all chains) iptables -A INPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT iptables -A OUTPUT -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT iptables -A FORWARD -m conntrack --ctstate ESTABLISHED,RELATED -j ACCEPT # Loopback iptables -A INPUT -i lo -j ACCEPT iptables -A OUTPUT -o lo -j ACCEPT # Port scan detection on external interface (before other INPUT rules) iptables -A INPUT -i eth0 -p tcp --tcp-flags ALL NONE -j LOG --log-prefix "SCAN_NULL: " iptables -A INPUT -i eth0 -p tcp --tcp-flags ALL NONE -j DROP iptables -A INPUT -i eth0 -p tcp --tcp-flags ALL ALL -j LOG --log-prefix "SCAN_XMAS: " iptables -A INPUT -i eth0 -p tcp --tcp-flags ALL ALL -j DROP iptables -A INPUT -i eth0 -p tcp --tcp-flags ALL SYN,FIN -j LOG --log-prefix "SCAN_SYNFIN: " iptables -A INPUT -i eth0 -p tcp --tcp-flags ALL SYN,FIN -j DROP # Drop invalid packets iptables -A INPUT -i eth0 -m conntrack --ctstate INVALID -j LOG --log-prefix "INVALID: " iptables -A INPUT -i eth0 -m conntrack --ctstate INVALID -j DROP # Database isolation (BEFORE any ACCEPT rules in FORWARD) iptables -A FORWARD -s 10.0.3.0/24 -j LOG --log-prefix "DATABASE_EGRESS_BLOCKED: " iptables -A FORWARD -s 10.0.3.0/24 -j DROP iptables -A FORWARD -d 10.0.3.0/24 -j LOG --log-prefix "DATABASE_ACCESS_BLOCKED: " iptables -A FORWARD -d 10.0.3.0/24 -j DROP # Database isolation for bastion itself iptables -A OUTPUT -s 10.0.1.0/24 -d 10.0.3.0/24 -j LOG --log-prefix "BASTION_TO_DB_BLOCKED: " iptables -A OUTPUT -s 10.0.1.0/24 -d 10.0.3.0/24 -j DROP # NAT - MASQUERADE for App Servers iptables -t nat -A POSTROUTING -s 10.0.2.0/24 -o eth0 -j MASQUERADE # External SSH to Bastion (with rate limiting and logging) iptables -A INPUT -i eth0 -s 198.51.100.10 -p tcp --dport 22 -m limit --limit 3/min -j LOG --log-prefix "SSH_ALLOWED: " iptables -A INPUT -i eth0 -s 198.51.100.10 -p tcp --dport 22 -m limit --limit 3/min -j ACCEPT iptables -A INPUT -i eth0 -s 198.51.100.10 -p tcp --dport 22 -j LOG --log-prefix "SSH_RATE_LIMITED: " iptables -A INPUT -i eth0 -s 198.51.100.10 -p tcp --dport 22 -j DROP # Bastion → App Servers SSH (OUTPUT chain - bastion is source) iptables -A OUTPUT -p tcp -s 10.0.1.0/24 -d 10.0.2.0/24 --dport 22 -j ACCEPT # App Servers → Internet (FORWARD chain - traffic passing through) iptables -A FORWARD -i eth1 -o eth0 -s 10.0.2.0/24 -p tcp -m multiport --dports 80,443 -j ACCEPT iptables -A FORWARD -i eth1 -o eth0 -s 10.0.2.0/24 -p tcp --dport 53 -j ACCEPT iptables -A FORWARD -i eth1 -o eth0 -s 10.0.2.0/24 -p udp --dport 53 -j ACCEPT # Log denied egress from App Servers iptables -A FORWARD -i eth1 -o eth0 -s 10.0.2.0/24 -j LOG --log-prefix "APP_EGRESS_DENIED: " iptables -A FORWARD -i eth1 -o eth0 -s 10.0.2.0/24 -j DROP # Final logging iptables -A INPUT -j LOG --log-prefix "INPUT_DROPPED: " iptables -A OUTPUT -j LOG --log-prefix "OUTPUT_DROPPED: " iptables -A FORWARD -j LOG --log-prefix "FORWARD_DROPPED: " Enter fullscreen mode Exit fullscreen mode Key concepts: INPUT: traffic destined TO the bastion OUTPUT: traffic originating FROM the bastion FORWARD: traffic THROUGH the bastion (acting as router) Explicit denies for database access implement defense-in-depth Rate limiting on SSH protects against brute force from trusted network Conclusion & Next Steps Congratulations on working through these production-grade iptables scenarios! You've now practiced: ✅ Stateful firewall design with connection tracking ✅ NAT configurations (DNAT, SNAT, MASQUERADE) ✅ Attack surface reduction through explicit deny rules ✅ Defense-in-depth with multiple security layers ✅ Security logging for incident detection ✅ Real-world debugging of broken configurations Want More Security Engineering Challenges? These labs are part of a larger collection of Security Engineering exercises covering: Application Security: SAST/DAST, secure code review, vulnerability assessment Cloud Security: AWS/Azure security configurations, IAM policies Cryptography: Implementation challenges, protocol security Web Security: OWASP Top 10, API security, authentication flaws ⭐ Star the repository for more exercises: 👉 github.com/fosres/SecEng-Exercises 👈 Each exercise includes: Detailed scenarios based on real interview questions Step-by-step solutions with explanations Grading rubrics for self-assessment References to industry-standard resources Additional Resources If you found these labs valuable, here are some recommended resources for deepening your security engineering knowledge: Security Engineering References: Grace Nolan's Security Engineering Notes - github.com/gracenolan/Notes OWASP Testing Guide - owasp.org/www-project-web-security-testing-guide PortSwigger Web Security Academy - portswigger.net/web-security iptables Documentation: Netfilter Documentation - netfilter.org/documentation iptables Tutorial by Oskar Andreasson - Comprehensive iptables guide Linux iptables Pocket Reference - Quick reference for common patterns Share Your Solutions Did you find alternative solutions to these scenarios? Security engineering often has multiple valid approaches! Share your solutions and discuss different strategies in the GitHub repository's Discussions section. Practice Makes Perfect The best way to master iptables and firewall security is through hands-on practice. Set up virtual machines, test your rules, intentionally break configurations, and learn to debug them. Each scenario you solve builds your intuition for network security. Happy firewalling! 🔥🛡️ About the Author: These exercises are designed to help aspiring Security Engineers prepare for technical interviews and real-world security challenges. Follow my journey and more security engineering content at github.com/fosres . 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 fosres Follow Studied at UCLA Worked at Intel Corporation as a Security Software Engineer Education UCLA Pronouns He/him/his Joined Nov 21, 2025 More from fosres Week 4 SQL Injection Audit Challenge # security # python # tutorial # sql Week 4 Network Packet Tracing Challenge # security # networking # linux # interview 🔐 Week 4 Scripting Challenge: Build an Auth Log Failed Login Scraper in Python # python # security # linux # securityengineering 💎 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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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 4 Flay the Fantasy: How I Stopped Betting My Future on Every Line of Code (And Started Shipping Like Crazy in 2026) # devchallenge # productivity # midnightchallenge # career Every developer knows that moment. You’re deep in the flow, staring at glowing code, and the whisper hits: “If this lands… everything changes.” This side project. This SaaS experiment. This wild repo. It stops being just code. It becomes salvation . And that’s exactly when the spiral begins. The Deadly Trap: When Code Turns Personal I’ve killed more projects than I care to admit. Not because the ideas sucked — but because I needed them to succeed. Attachment does ugly things: You pile on features nobody asked for, chasing a fake sense of “perfect” You polish endlessly because “it’s not ready” (translation: you’re scared) You obsess over stars, forks, or sign-ups like they’re verdicts on your worth The project mutates from experiment into an identity gamble . Pressure creeps in. Clarity dies. The Reframe That Set Me Free I finally stopped asking: “Will this save me?” And started asking the only question that matters: “What am I actually testing here?” One sentence. Total shift. Now every build is just a hypothesis: If I ship X to Y people, will Z actually happen? No destiny. No drama. Just: build → ship → measure → learn . This is The Lean Startup in its rawest form: be ruthless about validated learning. If it doesn’t teach you something useful, it’s waste — no matter how clever it feels. Suddenly, shipping felt lighter . Failure stopped stinging. Iteration turned addictive . Detachment Isn’t Giving Up — It’s Precision Detachment doesn’t mean apathy. It means caring about the right things. The Stoics nailed this centuries ago. Epictetus put it bluntly: “Some things are up to us, others are not.” Translated into dev language: You control Code clarity and structure Tests and review discipline Shipping fast and often You don’t control Virality Market timing Whether users notice or care Marcus Aurelius pushed it even further: “Fortune behaves exactly as she pleases.” Once you internalize that, your nervous system calms down. Decisions sharpen. Burnout loosens its grip. Carol Dweck’s growth mindset completes the loop: Failure isn’t “I’m a fraud.” It’s data. “That assumption was wrong — not me.” Bugs? Feature flops? Two GitHub stars? Cool. Informational. Next. How I Actually Build Like a Scientist Now No theory. No fluff. This is the workflow. 1. Start with a sharp question, not a grand vision Bad: “This will change everything.” Good: “Will developers pay to solve this specific pain?” If you can’t frame the project as a test, it’s probably ego-driven. 2. Ship before “ready” feels safe Readiness is emotional vaporware. Most projects die waiting for confidence that never shows up. Let reality be the judge. 3. Use AI to accelerate — never to hide Claude, Gemini, Zed for speed? Absolutely. But audit ruthlessly. Speed without understanding produces fragile code — and fragile builders. 4. When it flops, flay the question and rewrite it Didn’t work? Perfect. Ask: Wrong problem? Wrong audience? Wrong delivery? Pivoting isn’t defeat. It’s upgrading the experiment. Why This Mindset Is Non-Negotiable in 2026 AI agents ship faster than your coffee cools. Side projects compete globally overnight. Burnout is practically the default state. Attachment is expensive . Emotional distance is leverage . As Eric Ries said: “The only way to win is to learn faster than anyone else.” And learning requires letting go of the idea that every project must become your legacy. The Quiet Payoff The moment I flayed the salvation fantasy from my code, something strange happened. I shipped more . I stressed less . And — unexpectedly — I succeeded more . Not because I cared less. Because I finally focused on what was real. Your code doesn’t have to save you. It just has to be your next honest experiment . Your turn. What’s a project that bombed — and taught you more than any win ever did? Drop your war stories below. Let’s compare battle scars. 🚀 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 Trending on DEV Community Hot Top 7 Featured DEV Posts of the Week # top7 # discuss The FAANG is dead💀 # webdev # programming # career # faang What was your win this week??? # weeklyretro # 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. 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https://github.blog/tag/github-security-lab/ | GitHub Security Lab Archives - The GitHub Blog Skip to content / Blog Changelog Docs Customer stories Try GitHub Copilot See what's new AI & ML AI & ML Learn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AI Learn how to build with generative AI. GitHub Copilot Change how you work with GitHub Copilot. LLMs Everything developers need to know about LLMs. Machine learning Machine learning tips, tricks, and best practices. How AI code generation works Explore the capabilities and benefits of AI code generation and how it can improve your developer experience. Learn more Developer skills Developer skills Resources for developers to grow in their skills and careers. Application development Insights and best practices for building apps. Career growth Tips & tricks to grow as a professional developer. GitHub Improve how you use GitHub at work. 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Learn more Developer skills Back Developer skills Resources for developers to grow in their skills and careers. Application development Insights and best practices for building apps. Career growth Tips & tricks to grow as a professional developer. GitHub Improve how you use GitHub at work. GitHub Education Learn how to move into your first professional role. Programming languages & frameworks Stay current on what’s new (or new again). Get started with GitHub documentation Learn how to start building, shipping, and maintaining software with GitHub. Learn more Engineering Back Engineering Get an inside look at how we’re building the home for all developers. Architecture & optimization Discover how we deliver a performant and highly available experience across the GitHub platform. Engineering principles Explore best practices for building software at scale with a majority remote team. Infrastructure Get a glimpse at the technology underlying the world’s leading AI-powered developer platform. Platform security Learn how we build security into everything we do across the developer lifecycle. User experience Find out what goes into making GitHub the home for all developers. How we use GitHub to be more productive, collaborative, and secure Our engineering and security teams do some incredible work. Let’s take a look at how we use GitHub to be more productive, build collaboratively, and shift security left. Learn more Enterprise software Back Enterprise software Explore how to write, build, and deploy enterprise software at scale. Automation Automating your way to faster and more secure ships. CI/CD Guides on continuous integration and delivery. Collaboration Tips, tools, and tricks to improve developer collaboration. DevOps DevOps resources for enterprise engineering teams. DevSecOps How to integrate security into the SDLC. Governance & compliance Ensuring your builds stay clean. GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for AI Code Assistants Learn why Gartner positioned GitHub as a Leader for the second year in a row. Learn more News & insights Back News & insights Keep up with what’s new and notable from inside GitHub. Company news An inside look at news and product updates from GitHub. Product The latest on GitHub’s platform, products, and tools. Octoverse Insights into the state of open source on GitHub. Policy The latest policy and regulatory changes in software. Research Data-driven insights around the developer ecosystem. The library Older news and updates from GitHub. Unlocking the power of unstructured data with RAG Learn how to use retrieval-augmented generation (RAG) to capture more insights. Learn more Open Source Back Open Source Everything open source on GitHub. Git The latest Git updates. Maintainers Spotlighting open source maintainers. Social impact How open source is driving positive change. Gaming Explore open source games on GitHub. An introduction to innersource Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software. Learn more Security Back Security Stay up to date on everything security. Application security Application security, explained. Supply chain security Demystifying supply chain security. Vulnerability research Updates from the GitHub Security Lab. Web application security Helpful tips on securing web applications. The enterprise guide to AI-powered DevSecOps Learn about core challenges in DevSecOps, and how you can start addressing them with AI and automation. Learn more Changelog Docs Customer stories See what's new Try GitHub Copilot Home / GitHub Security Lab GitHub Security Lab Security Bugs that survive the heat of continuous fuzzing Learn why some long-enrolled OSS-Fuzz projects still contain vulnerabilities and how you can find them. Antonio Morales · December 29, 2025 Security Strengthening supply chain security: Preparing for the next malware campaign Security advice for users and maintainers to help reduce the impact of the next supply chain malware attack. Madison Oliver · December 23, 2025 Security CodeQL zero to hero part 5: Debugging queries Learn to debug and fix your CodeQL queries. Sylwia Budzynska · September 29, 2025 Security Our plan for a more secure npm supply chain Addressing a surge in package registry attacks, GitHub is strengthening npm’s security with stricter authentication, granular tokens, and enhanced trusted publishing to restore trust in the open source ecosystem. Xavier René-Corail · September 22, 2025 Application security Safeguarding VS Code against prompt injections When a chat conversation is poisoned by indirect prompt injection, it can result in the exposure of GitHub tokens, confidential files, or even the execution of arbitrary code without the user’s explicit consent. In this blog post, we’ll explain which VS Code features may reduce these risks. Michael Stepankin · August 25, 2025 Maintainers Securing the supply chain at scale: Starting with 71 important open source projects Learn how the GitHub Secure Open Source Fund helped 71 open source projects significantly improve their security posture through direct funding, expert guidance, and actionable playbooks. Kevin Crosby & Gregg Cochran · August 11, 2025 Application security Modeling CORS frameworks with CodeQL to find security vulnerabilities Discover how to increase the coverage of your CodeQL CORS security by modeling developer headers and frameworks. Kevin Stubbings · July 10, 2025 Security CVE-2025-53367: An exploitable out-of-bounds write in DjVuLibre DjVuLibre has a vulnerability that could enable an attacker to gain code execution on a Linux Desktop system when the user tries to open a crafted document. Kevin Backhouse & Antonio Morales · July 3, 2025 Security GitHub Advisory Database by the numbers: Known security vulnerabilities and what you can do about them Use these insights to automate software security (where possible) to keep your projects safe. Jonathan Evans · June 27, 2025 Security Hack the model: Build AI security skills with the GitHub Secure Code Game Dive into the novel security challenges AI introduces with the open source game that over 10,000 developers have used to sharpen their skills. Joseph Katsioloudes · June 3, 2025 Application security DNS rebinding attacks explained: The lookup is coming from inside the house! DNS rebinding attack without CORS against local network web applications. Explore the topic further and see how it can be used to exploit vulnerabilities in the real-world. Jaroslav Lobacevski · June 3, 2025 Security Inside GitHub: How we hardened our SAML implementation Maintaining and developing complex and risky code is never easy. See how we addressed the challenges of securing our SAML implementation with this behind-the-scenes look at building trust in our systems. Greg Ose & Taylor Reis · May 27, 2025 Security Bypassing MTE with CVE-2025-0072 In this post, I’ll look at CVE-2025-0072, a vulnerability in the Arm Mali GPU, and show how it can be exploited to gain kernel code execution even when Memory Tagging Extension (MTE) is enabled. Man Yue Mo · May 23, 2025 Maintainers How to request a change to a CVE record Learn how to identify which CVE Numbering Authority is responsible for the record, how to contact them, and what to include with your suggestion. Shelby Cunningham · April 9, 2025 Application security Localhost dangers: CORS and DNS rebinding What is CORS and how can a CORS misconfiguration lead to security issues? In this blog post, we’ll describe some common CORS issues as well as how you can find and fix them. Kevin Stubbings · April 3, 2025 Posts pagination Page 1 Page 2 … Page 7 Next The world's largest developer platform Docs Everything you need to master GitHub, all in one place. Go to Docs GitHub Build what’s next on GitHub, the place for anyone from anywhere to build anything. Start building Customer stories Meet the companies and engineering teams that build with GitHub. Learn more The GitHub Podcast Catch up on the GitHub podcast, a show dedicated to the topics, trends, stories and culture in and around the open source developer community on GitHub. 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https://www.fine.dev/blog/ai-developer-agents#intelligent-code-assistance | AI Developer Agents: Revolutionizing Software Development for Startups with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI Developer Agents: Revolutionizing Software Development for Startups with Fine You've probably not only heard of, but tried out or subscribed to an AI coding tool in the last year or two. If you're like most developers, it's an autocomplete tool such as GitHub Copilot. Kind of like pair programming, you write a word, the AI completes the line. You may have also heard terms like AI developer agent or Software 3.0 bandied about. In some cases, you've probably heard people discussing the end of coding as we know it and thought - this is the usual scaremongering, these tools aren't that good. Let's dive together into what these AI developer agents are - what makes it an agent, rather than the assistants you've already tried out? How are they affecting software development? How can you use them at work - in your startup, or for your clients? There's a lot of noise out there on the social networks. Indie hackers and non-coders have been building lots of software using new tools. But for the startup ecosystem, AI developer agents hold potential that hasn't fully been explored. Table of Contents Introduction The Rise of AI in Software Development What is an AI Developer Agent? Understanding AI Developer Agents Key Features of a Good AI Developer Agent How to Effectively Use an AI Developer Agent Benefits to Startups and Developers Introducing Fine: The Next-Generation AI Developer Agent Fine's Benefits for Startups and Developers Real-World Use Cases of Fine Getting Started with Fine The Rise of AI in Software Development The integration of AI into software development has streamlined workflows, reduced errors, and accelerated production timelines. AI tools assist developers by providing intelligent code suggestions, detecting bugs early, and automating repetitive tasks. This shift not only boosts productivity but also allows developers to focus on innovative solutions rather than mundane coding chores. Introduction to Software 3.0 Software 3.0 represents a paradigm shift where AI doesn't just assist but actively participates in the development process. In this model, AI agents can understand specifications, write code, and even make autonomous decisions to optimize performance. This progression signifies a move towards more intelligent, adaptive, and efficient software development practices. If previously, developers spent the largest portion of their time writing code, followed by reviewing code, followed by writing specs, that pyramid is being flipped on its head. We software engineers aren't known for being the best communicators, but our natural language communication skills are becoming more important than how fast you type. Now, startup dev teams are focusing most of their time on planning and writing specs, giving it to AI developer agents, reviewing the code and finishing the last 10% of revisions. What is an AI Developer Agent? An AI Developer Agent is an advanced tool that utilizes machine learning and natural language processing to assist and automate software development tasks. Unlike traditional development tools that require manual input for each function, AI Developer Agents can interpret high-level instructions and execute complex coding tasks independently. Identity, Tools and Guidelines. Each agent has a unique identity and a set of skills that it brings to the task. This identity provides perspective to the AI when performing its functions, leading to more effective and focused results. To perform their tasks, agents are equipped with a set of tools. These could range from the ability to browse a repository or third-party documentation to the ability to write code. Many tasks in software development follow a pattern - a set of steps that need to be executed in order to accomplish the task. When you run an Agent in Fine, it will execute a plan. This plan will be generated on-the-fly based on the Agent's guidelines, allowing for flexibility and adaptability to the specific needs of the task. For example, an agent may implement a feature in React using a plan which might involve creating a component, updating the routing, managing state,etc., adapting as needed. Their Role in Modern Development Workflows In contemporary development environments, AI Developer Agents act as virtual team members. They can convert issues into pull requests, write and modify multiple files based on developer specifications, and integrate seamlessly with existing workflows. This capability transforms the development process, making it more efficient and collaborative. When each developer can manage 3-4 agents for the price of a daily coffee, delegating work instead of having to do it manually, startups can grow significantly faster. The Growing Importance of AI Developer Agents The adoption of AI tools by developers and startups is accelerating. Companies seek to leverage AI Developer Agents to reduce time-to-market, enhance code quality, and stay competitive. Measuring the success of AI developer agents is really the same as any development team - using DORA metrics, for example. As these agents become more sophisticated, their role expands from mere assistants to integral components of the development team. 1. Understanding AI Developer Agents Definition and Core Concepts AI Developer Agents are intelligent systems designed to perform coding tasks autonomously. They utilize algorithms that learn from vast codebases, enabling them to generate code, fix bugs, and optimize performance without direct human intervention. How They Differ from Traditional Development Tools Traditional tools require developers to manually input commands and code. In contrast, AI Developer Agents can interpret natural language instructions, understand the context of the project, and make decisions to execute tasks efficiently. This autonomy sets them apart, offering capabilities beyond standard development tools. The Evolution of AI in Development The journey of AI in coding began with simple code editors and auto-completion features. Over time, these evolved into intelligent agents capable of understanding complex instructions and performing end-to-end development tasks. From Basic Code Editors to Intelligent Agents Early code editors provided syntax highlighting and basic error detection. The introduction of AI brought advanced features like predictive code suggestions and automated debugging. Today, AI Developer Agents can manage entire development cycles, marking a significant leap from their predecessors. 2. Key Features of a Good AI Developer Agent Intelligent Code Assistance Modern AI Developer Agents offer more than just auto-completion. They can perform entire development tasks by transforming issues into pull requests autonomously, write and modify multiple files to handle complex changes across a codebase based on specifications, and provide proactive error detection and correction to identify and fix bugs. Independence of the Development Environment Unlike tools that require integration with an Integrated Development Environment (IDE), the best AI Developer Agents operate independently. They run on cloud-based platforms, which means they have their own development environments that are accessible from anywhere. Additionally, they offer autonomous task execution, allowing them to perform tasks without the need for constant developer intervention. Seamless Integrations Effective AI Developer Agents integrate with essential tools that are vital for a smooth development workflow. They connect with version control systems like Git to track changes, and integrate with issue management platforms such as Jira or Trello for task management. Additionally, they work seamlessly with communication tools like Slack or Microsoft Teams to facilitate team collaboration. For continuous integration and deployment, they integrate with CI/CD pipelines such as Jenkins or GitHub Actions . Finally, they connect with bug detection tools like Sentry or Bugsnag for effective error monitoring. Full Context Awareness For accurate task execution, AI Developer Agents must have full context awareness. This means they need to access entire codebases to understand the project's context comprehensively. They must also be able to perform comprehensive searches to find and reference relevant code segments. By having complete information, they can reduce errors and avoid hallucinations, thereby ensuring high-quality output. Security and safety are a serious concern when giving anyone access to your entire codebase, including AI developer agents. Fine's approach of integrating with your GitHub ensures you code is safe in your trusty VCS, whilst the Agent can read and suggest edits which you'll approve. Learning and Adaptability AI Developer Agents exhibit learning and adaptability by continuously improving based on new code and developer interactions. They also adapt to the team's specific coding styles, ensuring that their output matches the established conventions and practices of the development team. Collaboration Tools AI Developer Agents come equipped with collaboration tools that provide shared insights, making recommendations visible to the entire team. They also facilitate team coordination by enhancing communication and making task delegation more efficient among team members. Security and Privacy AI Developer Agents prioritize security and privacy by implementing data protection measures to ensure that code and proprietary information remain secure. They also adhere to industry standards and regulations for data handling, ensuring compliance with all necessary protocols. This is an area that is still evolving as the laws and regulations are updated to reflect the growing capabilities of LLMs. 3. How to Effectively Use an AI Developer Agent Getting Started To get started with an AI Developer Agent, you first need to set up integrations by connecting the agent with your code repositories, issue trackers, and other tools. Once integrated, you should customize the agent's settings to align with your project requirements and team workflows, ensuring it operates smoothly within your development environment. Best Practices When using an AI Developer Agent, it's best to delegate entire tasks such as full features or bug fixes, allowing the agent to manage them autonomously. However, if the task is particularly large, breaking down large projects into smaller tasks that are manageable by the AI can help streamline development and maintain productivity. You can also create automations for repetitive tasks, letting the agent handle mundane coding activities and freeing up time for more complex work. Pitfalls to Avoid While AI Developer Agents can be highly efficient, it's crucial not to over-rely on them. Developers should still review and understand the code produced to maintain quality and ensure proper functionality. Neglecting code reviews can lead to issues down the line, so always perform thorough reviews to uphold high coding standards. Optimizing Workflows To optimize your workflows, customize the AI Developer Agent to fit specific project needs and team preferences. Providing continuous feedback to the agent will also help improve its performance over time, ensuring it adapts to your unique requirements and becomes a more effective tool for your development team. 4. Benefits to Startups and Developers Accelerated Development Cycles AI Developer Agents significantly accelerate development cycles by enabling faster coding through automated code generation. They also allow for quick prototyping, making it easier to rapidly create prototypes to test ideas and features. Enhanced Code Quality With intelligent error detection and correction, AI Developer Agents help minimize bugs , leading to enhanced code quality. They also ensure consistent standards are maintained across the project, resulting in a more uniform and reliable codebase. Cost Efficiency AI Developer Agents contribute to cost efficiency by reducing development costs through increased productivity without the need for additional manpower. They also help optimize the use of existing resources, ensuring that teams can achieve more with what they already have. Focus on Innovation By automating routine tasks, AI Developer Agents free up developers to focus on creative problem-solving and innovation. This shift allows teams to allocate more time to strategic planning and developing unique features that add value to the project. Scalability AI Developer Agents support scalability by enabling development efforts to grow without requiring proportional increases in team size. They offer flexible scaling, allowing resources to be adjusted based on project demands, making it easier to manage both small and large projects efficiently. 5. Introducing Fine: The Next-Generation AI Developer Agent About Fine Fine is a cutting-edge AI Developer Agent designed to revolutionize software development. Its mission is to empower developers and startups by automating tasks, enhancing collaboration, and accelerating project timelines. What Sets Fine Apart Fine sets itself apart by equipping agents with their own virtual development environment that operates independently in the cloud, making it accessible from anywhere without relying on local systems. It also provides deep integrations, seamlessly connecting with a wide array of development tools, ensuring a smooth and efficient workflow. Moreover, Fine has full context understanding, which allows it to access and comprehend entire codebases, ensuring accurate task execution and reducing the risk of errors. Fine's Advanced Features Fine offers a user-friendly interface with an intuitive design that makes it easy for developers to assign tasks and monitor progress effectively. It utilizes cutting-edge AI algorithms, leveraging advanced machine learning to deliver superior performance. Additionally, Fine provides customization and flexibility, allowing it to adapt to the unique requirements and workflows of each project, ensuring a tailored development experience. 6. Fine's Benefits for Startups and Developers Tailored Solutions Fine provides tailored solutions by employing adaptive learning, allowing it to learn from your codebase and adapt to your specific coding style. It also offers project-specific configurations, enabling developers to customize settings to fit the unique needs of their projects, ensuring that Fine aligns perfectly with their development goals. Improved Collaboration Fine enhances team collaboration through integrated coordination tools that improve communication among team members. It also offers shared workspaces, allowing developers to view and interact with the AI's output, making collaboration more seamless and efficient across the entire team. Real-Time Insights Fine provides real-time insights by delivering immediate feedback, offering instant suggestions and code improvements to enhance development efficiency. It also includes performance analytics, giving developers access to data on efficiency gains and productivity, enabling them to make informed decisions and continuously optimize their workflows. 7. Real-World Use Cases of Fine Industry Applications E-commerce : Streamlining the development of online platforms to provide seamless user experiences and improve transaction processes. AI Developer Agents can help automate the creation of product pages, payment gateways, and customer service chatbots, allowing for efficient scalability. Healthcare Tech : Accelerating the creation of secure medical software that adheres to stringent compliance standards. AI Developer Agents can assist in developing electronic health records (EHR) systems, telehealth platforms, and patient management applications, ensuring both data security and usability. Financial Services : Enhancing the development of compliant financial applications, including payment processing systems, fraud detection, and secure customer portals. AI Developer Agents streamline the coding of regulatory requirements, enabling rapid adaptation to changing financial regulations. Retail : Transforming retail operations by facilitating the development of inventory management systems, point-of-sale (POS) software, and customer loyalty programs. AI Developer Agents can also help in the creation of personalized marketing tools to boost customer engagement and sales. Education Technology (EdTech) : Supporting the development of interactive learning platforms, virtual classrooms, and student management systems. AI Developer Agents assist in coding features like video integration, assessment modules, and personalized learning pathways, enhancing the overall educational experience. Manufacturing : Enabling the development of production management software, predictive maintenance tools, and supply chain management systems. AI Developer Agents help automate data collection and analytics, allowing manufacturers to optimize operations and reduce downtime. Logistics and Supply Chain : Streamlining the development of logistics software, including route optimization tools, shipment tracking systems, and warehouse management solutions. AI Developer Agents help logistics companies optimize their operations and improve the efficiency of supply chain processes. Telecommunications : Assisting in the development of network management tools, customer service applications, and billing systems. AI Developer Agents enable faster deployment of features and ensure that telecommunications platforms remain robust and scalable. Real Estate : Simplifying the creation of property management software, virtual tour integrations, and client communication tools. AI Developer Agents can help automate data handling, property listing updates, and customer inquiries, making real estate management more efficient. Using AI to build AI At Fine, we use our own AI Developer Agents to enhance and build Fine itself. This practice creates a positive feedback loop where our AI continuously improves the platform. By leveraging Fine's AI capabilities, we automate the development of new features, perform code maintenance, and run extensive testing cycles. Fine's agents assist in creating new functionalities, optimizing existing ones, and even identifying areas for further improvement. This approach allows us to accelerate our development cycles, maintain high-quality standards, and ensure that Fine remains at the cutting edge of AI-driven software development. Using AI to build AI is not just a slogan—it’s our daily reality, pushing the boundaries of what our platform can achieve. - Getting Started with Fine 8. Getting Started with Fine Easy Onboarding Process Sign Up : Create an account on Fine's website . Integrate Tools : Connect your repositories and development tools. Fine currently supports GitHub, Linear and Slack, with more on the way. Start Assigning Tasks : Begin leveraging Fine's capabilities immediately. Support and Resources Tutorials and Documentation : Access a wealth of resources to maximize Fine's potential. Customer Support : Reach out to our support team for any assistance. Conclusion AI Developer Agents are reshaping the landscape of software development, bringing unprecedented efficiency and innovation. Fine stands at the forefront of this transformation, offering a next-generation solution that empowers developers and startups to achieve more. Embrace the future of software development with Fine. Join the revolution and elevate your development process to new heights. Transform your software development experience. Try Fine today and be a part of the AI-driven future. Full Table of Contents Introduction The Rise of AI in Software Development Introduction to Software 3.0 What is an AI Developer Agent? Their Role in Modern Development Workflows The Growing Importance of AI Developer Agents Understanding AI Developer Agents Definition and Core Concepts How They Differ from Traditional Development Tools The Evolution of AI in Development From Basic Code Editors to Intelligent Agents Key Features of a Good AI Developer Agent Intelligent Code Assistance Independence of the Development Environment Seamless Integrations Full Context Awareness Learning and Adaptability Collaboration Tools Security and Privacy How to Effectively Use an AI Developer Agent Getting Started Best Practices Common Pitfalls to Avoid Optimizing Workflows Benefits to Startups and Developers Accelerated Development Cycles Enhanced Code Quality Cost Efficiency Focus on Innovation Scalability Introducing Fine: The Next-Generation AI Developer Agent About Fine What Sets Fine Apart Fine's Advanced Features Fine's Benefits for Startups and Developers Tailored Solutions Improved Collaboration Real-Time Insights Real-World Use Cases of Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. 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https://10web.io/ai-tools/v0-by-vercel/ | v0 by Vercel Review: Features, Pros, and Cons All tool categories Create a Website with AI AI tools by category AI chatbot AI chatbot builder AI content generator AI development AI graphic design AI image generator AI image upscale AI writer AI tools by category AI chatbot AI chatbot builder AI content generator AI development AI graphic design AI image generator AI image upscale AI writer All AI tools AI graphic design v0 by Vercel AI graphic design v0 by Vercel AI-driven design generation for diverse digital projects. Starts from: 20$ / mo Free trial available 5 G2 Score 36 Reviews Visit Website 5 G2 Score 36 Reviews Visit Website Overview Key features Pros Cons Key features Text-based design generation Responsive layout adaptation Interactive element integration User profile linkage Pros Real-time collaboration features Seamless third-party integrations Advanced analytics dashboard Cons Limited customization options Steep learning curve Frequent updates required Generate your website with AI. Select your website type & build with AI. Informative Ecommerce Build with AI 1.5M+ websites created with 10Web AI. Overview Key features Pros Cons Overview v0 by Vercel is an innovative AI-powered tool designed to transform the way users create user interfaces for digital projects. By simply inputting text prompts and images, users can generate sleek, modern UI designs tailored to a variety of needs, from chat applications and crypto wallet homepages to specialized websites for bike parts and appointment systems. This platform not only streamlines the design process but also ensures that the outputs are both aesthetically pleasing and highly functional. Key features of v0 by Vercel include the ability to quickly produce designs that incorporate smooth animations, responsive layouts suitable for both mobile and desktop views, and interactive elements like pop-up menus and hover effects. The tool also supports the integration of modern design trends such as minimalist layouts, toggle buttons for switching between dark and light modes, and stylish social media icons. Additionally, it provides essential components like hamburger menu icons for mobile interfaces, enhancing usability and user engagement. Each project created with v0 by Vercel can be linked directly to the user’s profile on the platform, showcasing their design capabilities and expanding their portfolio. This makes v0 by Vercel not only a tool for creating high-quality digital interfaces but also a platform for users to promote and market their design skills. Whether for professional designers seeking efficiency or beginners needing guidance, v0 by Vercel offers a versatile solution for building compelling digital experiences. Key features Text-to-design generation: Users can input simple text prompts to automatically generate UI designs tailored to specific project needs. Image integration capability: The tool allows the incorporation of images into designs, enhancing visual appeal and context. Responsive design features: v0 by Vercel ensures that all generated designs are responsive, providing optimal viewing across various devices. Interactive elements inclusion: Designs include interactive components like pop-up menus and hover effects, improving user engagement. Customization options: Users can toggle between dark and light modes and adjust other design elements to suit their preferences. Profile linking: Each design prompt includes a link to the user’s v0 by Vercel profile, facilitating easy access to their portfolio. Pros Real-time collaboration: Multiple users can work simultaneously on a design project, allowing for real-time feedback and iterative improvements. Version control system: The tool automatically saves design versions, enabling users to revert to previous versions or track changes over time. Accessibility compliance: Designs generated are compliant with accessibility standards, ensuring usability for people with disabilities. AI-driven suggestions: The tool provides AI-based design suggestions, helping users improve layout, color schemes, and overall aesthetics. Extensive template library: Users have access to a wide range of pre-designed templates, which can be customized to jump-start new projects. Cons Limited text complexity: The text-to-design generation may struggle with interpreting complex or abstract text prompts, leading to less accurate design outputs. Generic design elements: While customization is possible, the base elements generated can be quite generic, potentially requiring additional modifications for uniqueness. Over-reliance on templates: The reliance on predefined templates for responsive and interactive designs might limit creative freedom and uniqueness in some projects. Profile dependency: The mandatory linking to a user’s v0 by Vercel profile in every design could be intrusive or undesirable for users seeking more anonymity or branding control. Image compatibility issues: While images can be integrated, there might be compatibility issues with certain file types or resolutions, affecting the design quality. Build your website with AI Discover the ultimate AI tool for creating stunning, fast, and fully automated websites with 10Web AI Website Builder — perfect for any business. Try our AI Website Builder Try AI Website Builder More AI tools like this See all Quick QR Art N/A AI graphic design PicWish 4.8 AI graphic design Pixelcut N/A AI graphic design Looka 2.8 AI graphic design Cutout.pro N/A AI graphic design Brandmark AI N/A AI graphic design FAQ How does v0 by Vercel help in creating user interfaces? v0 by Vercel uses AI to transform text and image inputs into modern, functional UI designs for various digital projects, streamlining the design process efficiently. What types of projects can I design with v0 by Vercel? You can design a wide range of UIs with v0 by Vercel, including chat applications, crypto wallet homepages, specialized websites for bike parts, and appointment systems. How can v0 by Vercel enhance user engagement in my designs? v0 by Vercel enhances engagement by integrating interactive elements like pop-up menus, hover effects, and mobile-friendly hamburger menu icons. Is v0 by Vercel suitable for beginners in design? v0 by Vercel is ideal for both professional designers and beginners, offering guidance and tools to create high-quality digital interfaces efficiently. Can I use v0 by Vercel for designing mobile and desktop interfaces? Yes, v0 by Vercel supports the creation of responsive layouts that work seamlessly on both mobile and desktop platforms, ensuring a versatile user experience. Does v0 by Vercel offer any modern design features? Yes, v0 by Vercel incorporates modern design trends like minimalist layouts, dark and light mode toggle buttons, and stylish social media icons in its designs. Can I showcase my projects created on v0 by Vercel? Each project on v0 by Vercel can be linked to your profile on the platform, allowing you to showcase your work and expand your design portfolio. How does v0 by Vercel ensure the functionality of the designs? v0 by Vercel ensures functionality by allowing designers to incorporate essential and interactive components, making the interfaces both aesthetically pleasing and practical. 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https://dev.to/th33k | Theekshana Udara - 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 Theekshana Udara 404 bio not found Location Colombo, Sri Lanka Joined Joined on Dec 30, 2024 Personal website http://th33k.github.io/ github website More info about @th33k Badges One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Post 20 posts published Comment 0 comments written Tag 0 tags followed Monitoring and Optimizing Software After Release Theekshana Udara Theekshana Udara Theekshana Udara Follow Nov 24 '25 Monitoring and Optimizing Software After Release Comments Add Comment 1 min read The Four Types of Software Maintenance Theekshana Udara Theekshana Udara Theekshana Udara Follow Nov 19 '25 The Four Types of Software Maintenance # software # softwaredevelopment # softwareengineering Comments Add Comment 1 min read Managing Infrastructure and Environments in SDLC Theekshana Udara Theekshana Udara Theekshana Udara Follow Nov 14 '25 Managing Infrastructure and Environments in SDLC # architecture # automation # devops Comments Add Comment 1 min read Software Deployment Strategies That Actually Work Theekshana Udara Theekshana Udara Theekshana Udara Follow Nov 10 '25 Software Deployment Strategies That Actually Work Comments Add Comment 1 min read Essential Automation and QA Tools for Developers Theekshana Udara Theekshana Udara Theekshana Udara Follow Nov 5 '25 Essential Automation and QA Tools for Developers # tooling # testing # devops # automation Comments Add Comment 1 min read Testing Backend, Database, and Frontend Systems Theekshana Udara Theekshana Udara Theekshana Udara Follow Oct 30 '25 Testing Backend, Database, and Frontend Systems # frontend # testing # backend # database Comments Add Comment 1 min read Types of Software Testing You Need to Know Theekshana Udara Theekshana Udara Theekshana Udara Follow Oct 25 '25 Types of Software Testing You Need to Know Comments Add Comment 1 min read CI/CD Pipelines: Automating Your Development Workflow Theekshana Udara Theekshana Udara Theekshana Udara Follow Oct 20 '25 CI/CD Pipelines: Automating Your Development Workflow # automation # cicd # devops Comments Add Comment 1 min read Version Control and Collaboration Best Practices Theekshana Udara Theekshana Udara Theekshana Udara Follow Oct 15 '25 Version Control and Collaboration Best Practices # git # github # productivity 1 reaction Comments Add Comment 1 min read Coding Standards Every Developer Should Follow Theekshana Udara Theekshana Udara Theekshana Udara Follow Oct 5 '25 Coding Standards Every Developer Should Follow # coding # productivity # softwaredevelopment Comments Add Comment 1 min read Designing for Security, Scalability, and Performance Theekshana Udara Theekshana Udara Theekshana Udara Follow Sep 30 '25 Designing for Security, Scalability, and Performance # architecture # performance # security Comments Add Comment 1 min read Low-Level Design: Detailing the System Blueprint Theekshana Udara Theekshana Udara Theekshana Udara Follow Sep 25 '25 Low-Level Design: Detailing the System Blueprint Comments Add Comment 1 min read High-Level Design: Mapping the Big Picture Theekshana Udara Theekshana Udara Theekshana Udara Follow Sep 20 '25 High-Level Design: Mapping the Big Picture Comments Add Comment 1 min read Choosing the Right Tech Stack and Architecture Theekshana Udara Theekshana Udara Theekshana Udara Follow Sep 15 '25 Choosing the Right Tech Stack and Architecture Comments Add Comment 1 min read Creating a Practical Project Plan for SDLC Theekshana Udara Theekshana Udara Theekshana Udara Follow Sep 10 '25 Creating a Practical Project Plan for SDLC Comments Add Comment 1 min read Feasibility Studies and Risk Planning in Software Projects Theekshana Udara Theekshana Udara Theekshana Udara Follow Sep 5 '25 Feasibility Studies and Risk Planning in Software Projects Comments Add Comment 1 min read Defining Backend, Database, and Frontend Requirements Theekshana Udara Theekshana Udara Theekshana Udara Follow Aug 30 '25 Defining Backend, Database, and Frontend Requirements # backend # database # frontend # systemdesign Comments Add Comment 1 min read How to Gather Software Requirements the Right Way Theekshana Udara Theekshana Udara Theekshana Udara Follow Aug 25 '25 How to Gather Software Requirements the Right Way Comments Add Comment 1 min read A Beginner’s Guide to SDLC Models Theekshana Udara Theekshana Udara Theekshana Udara Follow Aug 20 '25 A Beginner’s Guide to SDLC Models # beginners # softwaredevelopment # softwareengineering # sdlc Comments Add Comment 7 min read Software Development Life Cycle: Backbone of successful software projects Theekshana Udara Theekshana Udara Theekshana Udara Follow Aug 15 '25 Software Development Life Cycle: Backbone of successful software projects # software # development Comments 1 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 — 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://sourcegraph.com/ | Sourcegraph | The code intelligence platform for enterprises UX Design & Webflow Agency NYC | Composite Global Sourcegraph and Amp are becoming two separate companies Platform UX Design & Webflow Agency NYC | Composite Global Deep Search Agentic, natural language AI search Code Search Powerful search for complex codebases Batch Changes Large-scale, cross-repository changes Insights High-level code metrics and analytics MCP Code graph knowledge for agents APIs GraphQL and REST APIs + webhooks CLI Sourcegraph in your terminal Cody AI coding assistant Resources Case Studies Learn how engineering teams are leveraging Sourcegraph Explore case studies Public Code Search Search across 1M+ public repositories Try Public Code Search Changelog What’s changed in Sourcegraph Blog Product + engineering updates Documentation Get help using Sourcegraph Pricing Search public code Schedule a demo Schedule a demo Schedule a demo Sign up Sign up Sign up Platform Deep Search Code Search Batch Changes Insights Monitors MCP APIs CLI Extensions & Integrations Cody Resources Case Studies Public Code Search Blog Changelog Docs Pricing Open Modal Sign up to get access Continue With GitHub Continue With GitLab Continue With Google By registering, you agree to our Terms of Service and Privacy Policy. Already have an account? Sign in. Code understanding for humans and agents Sourcegraph empowers humans and AI coding agents with the context to understand and evolve the world's largest, most complex codebases. Schedule a demo Schedule a demo Schedule a demo Trusted by world-class engineering teams Codebases are growing faster than ever with AI. The race to ship quickly with AI often leads to sprawling complexity—code multiplying faster than teams can understand or control it. Without improved tooling and better safeguards, it can make codebases exponentially harder to reason about and maintain for both humans and agents, ultimately slowing you down. This is where Sourcegraph comes in. Sourcegraph is the code understanding platform that lets developers and agents search, understand and automate changes across codebases. Your browser does not support the video tag. Agentic AI Search Teams struggle to understand ever-increasing code complexity. Deep Search delivers the context and confidence needed to move faster—by providing clear answers in even the most complex codebases. Explore Deep Search Explore Deep Search Explore Deep Search Sourcegraph MCP [beta] Coding agents fail in legacy codebases. Give agents increased accuracy and output quality by leveraging powerful code search and navigation tools available via the Sourcegraph MCP. Explore Sourcegraph MCP Explore Sourcegraph MCP Explore Sourcegraph MCP “This is what I imagined AI would do for developers—extensive discovery over existing files and helping developers understand a huge codebase...” Engineer @ Booking.com Code Search Search for code in massive, sprawling codebases. Fast, comprehensive, exhaustive. Find exactly what you need. Explore Code Search Explore Code Search Explore Code Search Lightning-fast search at enterprise scale. Whether 100 or 1M repositories, we've got you. Truly universal. We support GitHub, GitLab, Bitbucket, Gerrit, Perforce and more. Powerful search capabilities. Filters, keywords, operators, pattern matching, and more. Find all panic handling in HTTP handlers AI Workflows Turn understanding into action Batch Changes. Search-and-replace across all code hosts, repositories, and billions of lines of code. Monitors. Monitor for potential vulnerabilities, bad practices and undesirable changes. Trigger actions and agents to notify and fix. Insights. AI-powered dashboards to see what’s changing across the repositories you care about. Get next-gen AI-powered coding workflows, first. We're looking for partners to help us build the future of mass code manipulation, observability and more. Learn more Built for enterprise Trusted. Scalable. Enterprise-ready. SOC2 Type II + ISO27001 Compliance. Your code and data stay secure. Dedicated support. Account Managers + Support Engineers provide dedicated help. SCIM User Management. Automated user provisioning and lifecycle management. Zero data retention. 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https://www.youtube.com/watch?v=R-frcOq6Kdc | - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. | 2026-01-13T08:49:35 |
https://dev.to/t/mobiledev | Mobiledev - 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 # mobiledev Follow Hide Mobile app development for iOS, Android, and cross-platform. Create Post Older #mobiledev posts 1 2 3 4 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu React Native HealthKit: How to Build a Seamless Health Dashboard wellallyTech wellallyTech wellallyTech Follow Dec 29 '25 React Native HealthKit: How to Build a Seamless Health Dashboard # reactnative # healthtech # ios # mobiledev Comments Add Comment 2 min read What Makes a Good Document Scanner App? EditFlowSuite EditFlowSuite EditFlowSuite Follow Dec 27 '25 What Makes a Good Document Scanner App? # android # mobiledev # productivity # pdf Comments Add Comment 2 min read Why job boards are failing mobile app developers (and what works better today) Alizetihr – Tech Talent Scouting Alizetihr – Tech Talent Scouting Alizetihr – Tech Talent Scouting Follow Dec 22 '25 Why job boards are failing mobile app developers (and what works better today) # mobiledev # career # opensource # github Comments Add Comment 1 min read 2026 Startup App Costs in Georgia: A Founder’s Reality Check Devin Rosario Devin Rosario Devin Rosario Follow Dec 22 '25 2026 Startup App Costs in Georgia: A Founder’s Reality Check # startup # mobiledev # georgia # business 1 reaction Comments Add Comment 5 min read From PyTorch to Shipping local AI on Android Elina Norling Elina Norling Elina Norling Follow for Embedl Hub Dec 13 '25 From PyTorch to Shipping local AI on Android # androiddev # mobile # mobiledev # ai 3 reactions Comments Add Comment 7 min read Unleashing Self-Hosted AI: I Helped Build a Native Mobile App for Open WebUI (and it's Open Source!) Nikita Baksheev Nikita Baksheev Nikita Baksheev Follow Dec 12 '25 Unleashing Self-Hosted AI: I Helped Build a Native Mobile App for Open WebUI (and it's Open Source!) # reactnative # opensource # ai # mobiledev Comments Add Comment 5 min read My Development Week: Building Secure Flutter Apps & Desktop Tools 🚀 Cahyanudien Aziz Saputra Cahyanudien Aziz Saputra Cahyanudien Aziz Saputra Follow Dec 7 '25 My Development Week: Building Secure Flutter Apps & Desktop Tools 🚀 # flutter # rust # devlog # mobiledev 2 reactions Comments Add Comment 6 min read How AI Assistants Are Transforming Mobile App Development in 2026 Devin Rosario Devin Rosario Devin Rosario Follow Dec 17 '25 How AI Assistants Are Transforming Mobile App Development in 2026 # mobiledev # ai # productivity # futureoftech Comments 2 comments 4 min read App Development Costs in 2026: A Minnesota Startup’s Guide Devin Rosario Devin Rosario Devin Rosario Follow Dec 15 '25 App Development Costs in 2026: A Minnesota Startup’s Guide # discuss # mobiledev # software # business 1 reaction Comments Add Comment 7 min read Okay, ich baue also mein eigenes "Google Maps". Hier ist mein Plan... und meine Albträume. MapNav_Dev MapNav_Dev MapNav_Dev Follow Nov 5 '25 Okay, ich baue also mein eigenes "Google Maps". Hier ist mein Plan... und meine Albträume. # navigation # mobiledev # flutter # algorithms Comments Add Comment 4 min read Question: How do you ensure consistent AI model performance across Android devices? Elina Norling Elina Norling Elina Norling Follow Oct 31 '25 Question: How do you ensure consistent AI model performance across Android devices? # mobiledev # android # mobile # ai 2 reactions Comments 1 comment 1 min read Blink Diagnostics: Decoding Health One Flutter at a Time Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Nov 19 '25 Blink Diagnostics: Decoding Health One Flutter at a Time # healthtech # mobiledev # ai # computervision Comments Add Comment 2 min read Blink Signals: Decoding Health with Mobile Vision Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Nov 19 '25 Blink Signals: Decoding Health with Mobile Vision # healthtech # mobiledev # ai # biometrics Comments Add Comment 2 min read 💡 Discovering `CustomMultiChildLayout` in Flutter: A Personal Journey Adunbi Moses Akinwande Adunbi Moses Akinwande Adunbi Moses Akinwande Follow Oct 24 '25 💡 Discovering `CustomMultiChildLayout` in Flutter: A Personal Journey # programming # flutter # ui # mobiledev Comments Add Comment 2 min read Mastering UI Animations in React Native Using Reanimated — A Practical Guide Saloni Agrawal Saloni Agrawal Saloni Agrawal Follow Nov 24 '25 Mastering UI Animations in React Native Using Reanimated — A Practical Guide # animation # mobiledev # reactnative # tutorial 1 reaction Comments Add Comment 4 min read A importância de gerenciar corretamente variáveis de ambiente (.env) Victor Zarzar Victor Zarzar Victor Zarzar Follow Nov 23 '25 A importância de gerenciar corretamente variáveis de ambiente (.env) # webdev # mobiledev # security # development Comments Add Comment 3 min read Real-Time Push Notifications with Supabase Edge Functions and Firebase Vignaraj Ravi Vignaraj Ravi Vignaraj Ravi Follow Sep 14 '25 Real-Time Push Notifications with Supabase Edge Functions and Firebase # supabase # firebase # mobiledev Comments Add Comment 1 min read Iris ID: Pocket-Sized Security, Future-Proof Protection Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 8 '25 Iris ID: Pocket-Sized Security, Future-Proof Protection # security # biometrics # mobiledev # computervision Comments Add Comment 2 min read React Native Performance Optimization Tips Every Dev Should Know Lucy Lucy Lucy Follow Oct 6 '25 React Native Performance Optimization Tips Every Dev Should Know # reactnative # mobiledev # appperformance # hirereactnativedevelopers 1 reaction Comments Add Comment 4 min read Create a Date & Time Picker in React Native Djamware Tutorial Djamware Tutorial Djamware Tutorial Follow Aug 10 '25 Create a Date & Time Picker in React Native # reactnative # datepicker # example # mobiledev Comments Add Comment 1 min read Cómo creé la UI de una app Android moderna con Jetpack Compose (Guía Completa) Tu codigo cotidiano Tu codigo cotidiano Tu codigo cotidiano Follow Jul 28 '25 Cómo creé la UI de una app Android moderna con Jetpack Compose (Guía Completa) # android # kotlin # jetpackcompose # mobiledev Comments Add Comment 2 min read 🎨 Building a Stunning AI Image Generator with Flutter: From Idea to App Store Yatharth Sanghavi Yatharth Sanghavi Yatharth Sanghavi Follow Aug 14 '25 🎨 Building a Stunning AI Image Generator with Flutter: From Idea to App Store # flutter # ai # mobiledev # opensource 2 reactions Comments Add Comment 4 min read 🚨 [48 Hours Lost] NativeWind + Expo Router = "Couldn't find a navigation context" Nightmare Samuel Joseph Samuel Joseph Samuel Joseph Follow Aug 5 '25 🚨 [48 Hours Lost] NativeWind + Expo Router = "Couldn't find a navigation context" Nightmare # reactnative # reactnavigation # nativewind # mobiledev 2 reactions Comments 4 comments 2 min read Offline-First Mobile Apps with React Native + SQLite and Flutter + Hive Djamware Tutorial Djamware Tutorial Djamware Tutorial Follow Jun 29 '25 Offline-First Mobile Apps with React Native + SQLite and Flutter + Hive # reactnative # flutter # offline # mobiledev Comments Add Comment 1 min read A Sunday Reflection: Coding Apps & New Opportunities Dilip Kumar (DK) Dilip Kumar (DK) Dilip Kumar (DK) Follow Jun 22 '25 A Sunday Reflection: Coding Apps & New Opportunities # mobiledev # android # startup # workplace Comments Add Comment 1 min read loading... trending guides/resources Mastering UI Animations in React Native Using Reanimated — A Practical Guide React Native HealthKit: How to Build a Seamless Health Dashboard App Development Costs in 2026: A Minnesota Startup’s Guide My Development Week: Building Secure Flutter Apps & Desktop Tools 🚀 How AI Assistants Are Transforming Mobile App Development in 2026 What Makes a Good Document Scanner App? Blink Signals: Decoding Health with Mobile Vision Question: How do you ensure consistent AI model performance across Android devices? Unleashing Self-Hosted AI: I Helped Build a Native Mobile App for Open WebUI (and it's Open Source!) Why job boards are failing mobile app developers (and what works better today) Blink Diagnostics: Decoding Health One Flutter at a Time A importância de gerenciar corretamente variáveis de ambiente (.env) Okay, ich baue also mein eigenes "Google Maps". Hier ist mein Plan... und meine Albträume. 2026 Startup App Costs in Georgia: A Founder’s Reality Check From PyTorch to Shipping local AI on Android 💎 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 | 2026-01-13T08:49:35 |
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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 Machine Learning Follow Hide A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Create Post submission guidelines Articles and discussions should be directly related to the machine learning. Questions are encouraged! (See the #help tag) Older #machinelearning 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 Beyond Accuracy: How ROC-AUC Reveals the True Power of Your Model Akshay Shetty Akshay Shetty Akshay Shetty Follow Sep 30 '25 Beyond Accuracy: How ROC-AUC Reveals the True Power of Your Model # python # machinelearning # datascience # beginners Comments Add Comment 3 min read The Card Whisperer: Predicting Database Query Costs... Without Data by Arvind Sundararajan Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 The Card Whisperer: Predicting Database Query Costs... Without Data by Arvind Sundararajan # database # performance # optimization # machinelearning Comments Add Comment 2 min read Graph Neural Network Verification: A Reality Check Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 Graph Neural Network Verification: A Reality Check # machinelearning # graphneuralnetworks # ai # datascience Comments Add Comment 2 min read Turbocharge Your Models: Meta-Nets for Instant Optimization Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 Turbocharge Your Models: Meta-Nets for Instant Optimization # machinelearning # graphneuralnetworks # optimization # deeplearning Comments Add Comment 2 min read Blog Post 2: NumPy Through a C++ Programmer's Eyes David Bean David Bean David Bean Follow Oct 11 '25 Blog Post 2: NumPy Through a C++ Programmer's Eyes # beginners # machinelearning 1 reaction Comments Add Comment 7 min read Stumbling into AI: Part 2—Models Robin Moffatt Robin Moffatt Robin Moffatt Follow Dec 17 '25 Stumbling into AI: Part 2—Models # ai # llm # machinelearning # models Comments Add Comment 10 min read Understanding MLOps: The Bridge Between Machine Learning and Real-World Impact Harshaja Agnihotri Harshaja Agnihotri Harshaja Agnihotri Follow Oct 11 '25 Understanding MLOps: The Bridge Between Machine Learning and Real-World Impact # mlops # machinelearning # devops 1 reaction Comments Add Comment 4 min read Introducing Honey Nudger, and Why We're Launching with a Founder's Circle Daniel Carpenter Daniel Carpenter Daniel Carpenter Follow for Honey Nudger Oct 11 '25 Introducing Honey Nudger, and Why We're Launching with a Founder's Circle # ai # opensource # llm # machinelearning 1 reaction Comments Add Comment 4 min read 😮💨 I created my own face recognition system techtech techtech techtech Follow Sep 29 '25 😮💨 I created my own face recognition system # ai # deeplearning # python # machinelearning 6 reactions Comments Add Comment 6 min read Quantum Agents: The Algorithmic Alchemists Reshaping Discovery Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 Quantum Agents: The Algorithmic Alchemists Reshaping Discovery # quantumcomputing # machinelearning # ai # algorithms Comments Add Comment 2 min read Unlock Deep Learning Stability: Navigate the Activation Function Galaxy with 9 Dimensions! Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 Unlock Deep Learning Stability: Navigate the Activation Function Galaxy with 9 Dimensions! # machinelearning # deeplearning # ai # python Comments Add Comment 2 min read Motion Alchemy: Turning Data into Graceful Robot Movement Arvind Sundara Rajan Arvind Sundara Rajan Arvind Sundara Rajan Follow Sep 12 '25 Motion Alchemy: Turning Data into Graceful Robot Movement # robotics # ai # motionplanning # machinelearning 1 reaction Comments Add Comment 2 min read Will Developers Survive AI Takeover? Equalizer vs Amplifier Giorgi Kobaidze Giorgi Kobaidze Giorgi Kobaidze Follow Oct 8 '25 Will Developers Survive AI Takeover? Equalizer vs Amplifier # discuss # ai # machinelearning # career 16 reactions Comments 6 comments 9 min read The 'Why' Algorithm: Building AI That Learns to Ask Questions Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 The 'Why' Algorithm: Building AI That Learns to Ask Questions # ai # machinelearning # reinforcementlearning # neurosymbolicai Comments Add Comment 2 min read GNN Blind Spots: The Hidden Cost of Powerful Graph Models Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 GNN Blind Spots: The Hidden Cost of Powerful Graph Models # machinelearning # graphs # ai # datascience Comments Add Comment 2 min read Video AI's Cultural Blind Spot: Why Your Models Might Be Misunderstanding the World Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 11 '25 Video AI's Cultural Blind Spot: Why Your Models Might Be Misunderstanding the World # ai # machinelearning # computervision # ethics Comments Add Comment 2 min read AI-Powered Compression: The Key to Unleashing Next-Gen Wireless Speeds Arvind Sundara Rajan Arvind Sundara Rajan Arvind Sundara Rajan Follow Sep 8 '25 AI-Powered Compression: The Key to Unleashing Next-Gen Wireless Speeds # ai # 5g # machinelearning # telecommunications 5 reactions Comments Add Comment 2 min read GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 10 '25 GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan # machinelearning # graphneuralnetworks # ai # datascience Comments Add Comment 2 min read Activation Alchemist: Sculpting Stability with Functional Signatures Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 10 '25 Activation Alchemist: Sculpting Stability with Functional Signatures # machinelearning # deeplearning # ai # neuralnetworks Comments Add Comment 2 min read 🩺 NephroPredict: Machine Learning for Chronic Kidney Disease Detection AbuBakar Shabbir AbuBakar Shabbir AbuBakar Shabbir Follow Sep 7 '25 🩺 NephroPredict: Machine Learning for Chronic Kidney Disease Detection # programming # kidney # ai # machinelearning Comments Add Comment 2 min read Decoding Cultures: Why Your Video AI Isn't Truly Seeing the World by Arvind Sundararajan Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 10 '25 Decoding Cultures: Why Your Video AI Isn't Truly Seeing the World by Arvind Sundararajan # ai # machinelearning # ethicalai # bias Comments Add Comment 2 min read A Disciplined Approach to AI-Assisted Software Development Jay Baleine Jay Baleine Jay Baleine Follow Sep 7 '25 A Disciplined Approach to AI-Assisted Software Development # ai # architecture # productivity # machinelearning Comments Add Comment 1 min read Visionary AI: Guiding Exploration with Semantic Goals Arvind Sundara Rajan Arvind Sundara Rajan Arvind Sundara Rajan Follow Sep 7 '25 Visionary AI: Guiding Exploration with Semantic Goals # ai # machinelearning # simulation # gamedev 5 reactions Comments Add Comment 2 min read AI Renaissance: Bridging the Gap Between Intuition and Logic Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 10 '25 AI Renaissance: Bridging the Gap Between Intuition and Logic # ai # machinelearning # python # datascience Comments Add Comment 2 min read The Cultural Iceberg: Unmasking Bias in Video AI Arvind SundaraRajan Arvind SundaraRajan Arvind SundaraRajan Follow Oct 10 '25 The Cultural Iceberg: Unmasking Bias in Video AI # ai # machinelearning # computervision # ethics 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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https://blog.opensource.org/#newsletter | Blog – 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 News Open Policy Alliance Welcomes the Open Source Technology Improvement Fund as New Member The Open Source Initiative (OSI) is pleased to welcome the Open Source Technology Improvement Fund (OSTIF) to the Open Policy Alliance. OSTIF is a nonprofit dedicated to securing Open Source apps. January 8, 2026 by Katie Steen-James Recent Posts Top Open Source licenses in 2025 Top Open Source licenses in 2025 The top 20 OSI-Approved licenses most frequently sought out by our community in 2025 based on number of pageviews. December 17, 2025 Celebrating Generosity and Growth in the OSI Community Celebrating Generosity and Growth in the OSI Community Members Newsletter – December 2025 As we reach the final weeks of the year, I find myself reflecting on a season that invites both gratitude and giving, two values that feel especially resonant for our community. Serving as Interim Executive Director these past months has only deepened my appreciation for the people who make Open Source possible. December 12, 2025 Open Source Without Borders: Reflections from COSCon’25 Open Source Without Borders: Reflections from COSCon’25 Witnessing China’s Deepseek moment firsthand and learning about Kaiyuanshe’s dedication for over a decade building and championing China’s Open Source community with such vision and commitment is truly inspiring. December 10, 2025 DPGA’s Annual Members Meeting: Advancing Open Source & DPGs for the Public Good DPGA’s Annual Members Meeting: Advancing Open Source & DPGs for the Public Good 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. December 6, 2025 Patents and Open Source: Understanding the Risks and Available Solutions Patents and Open Source: Understanding the Risks and Available Solutions 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. December 4, 2025 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) 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. December 3, 2025 Open Source: A global commons to enable digital sovereignty Open Source: A global commons to enable digital sovereignty In a world increasingly run by software, countries around the world are waking up to their dependency on foreign services and products. Geopolitical shifts drive digital sovereignty to the top of the political agenda in Europe and other regions. How can we ensure that regulations protecting our citizens actually apply? How do we guarantee continuity of operations in a potentially fragmenting world? How do we ensure access to critical services is not held hostage in future international trade negotiations? November 24, 2025 Open letter: Harnessing open source AI to advance digital sovereignty Open letter: Harnessing open source AI to advance digital sovereignty Europe is at a crossroads. The Summit on European Digital Sovereignty marks an important milestone for the EU and its member states in aligning on a shared strategy for achieving real and lasting European digital sovereignty. As the EU pursues the goal of digital sovereignty, we urge you to harness open source — that is, technology that is free to use, inspect, adapt, and share — as a key enabler of this strategy. November 20, 2025 Sustaining Open Source: The Next 25 Years Depend on What We Do Together Now Sustaining Open Source: The Next 25 Years Depend on What We Do Together Now Open source is suffering from its own success. The ecosystem that once thrived on volunteer energy now faces existential questions: How do we sustain the infrastructure that powers the modern world? The answer isn’t just money—it’s people, governance, and collaboration. We need companies to invest not only funds but also employee time, foundations to work together instead of in silos, and communities to plan for the full lifecycle of projects. The next 25 years depend on what we do together now. November 18, 2025 Must-See Recordings Now Available Must-See Recordings Now Available Members Newsletter – November 2025 October was punctuated by lots of direct connections with the community. In this month’s newsletter, we’ll highlight our experience through our annual “State of the Source” track at All Things Open; discuss our advocacy on behalf of the Open Source community through our public policy work; and share the recorded sessions from outstanding contributors to the Deep Dive: Data Governance virtual event. November 6, 2025 Popular posts Open Policy Alliance Welcomes the Open Source Technology Improvement Fund as New Member Top Open Source licenses in 2025 Celebrating Generosity and Growth in the OSI Community Open Source Without Borders: Reflections from COSCon'25 Recent comments Victoria (K8VSY) (she/her) on Open Policy Alliance Welcomes the Open Source Technology Improvement Fund as New Member Jordan Maris 🇪🇺 🇺🇦 #NAFO on Open Policy Alliance Welcomes the Open Source Technology Improvement Fund as New Member 2711chrissi on Open Policy Alliance Welcomes the Open Source Technology Improvement Fund as New Member Timo Tijhof on Top Open Source licenses in 2025 Categories Affiliates Archived posts by the Board Events In practice News Newsletter archive Opinions OSI opinion Press Releases Sponsors Transcript Posts pagination 1 2 … 83 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://www.anthropic.com/claude/sonnet#:~:text=Claude%203.7%20Sonnet%20is%20state,end%20software%20development%20processes | Skip to main content Skip to footer Research Economic Futures Commitments Learn News Try Claude Claude Sonnet 4.5 Hybrid reasoning model with superior intelligence for agents, and 200K context window Try Claude Get API access Announcements New Claude Sonnet 4.5 Sep 29, 2025 Sonnet 4.5 is the best model in the world for agents, coding, and computer use. It’s also our most accurate and detailed model for long-running tasks, with enhanced domain knowledge in coding, finance, and cybersecurity. Read more Claude Sonnet 4 May 22, 2025 Sonnet 4 improves on Sonnet 3.7 across a variety of areas, especially coding. It offers frontier performance that’s practical for most AI use cases, including user-facing AI assistants and high-volume tasks. Read more Claude Sonnet 3.7 and Claude Code Feb 24, 2025 Sonnet 3.7 is the first hybrid reasoning model and our most intelligent model to date. It’s state-of-the art for coding and delivers significant improvements in content generation, data analysis, and planning. Read more Availability and pricing Anyone can chat with Claude using Sonnet 4.5 on Claude.ai, available on web, iOS, and Android. For developers interested in building agents, Sonnet 4.5 is available on the Claude Developer Platform natively, and in Amazon Bedrock, Google Cloud's Vertex AI, and Microsoft Foundry. Pricing for Sonnet 4.5 starts at $3 per million input tokens and $15 per million output tokens, with up to 90% cost savings with prompt caching and 50% cost savings with batch processing . To learn more, check out our pricing page. To get started, simply use claude-sonnet-4-5 via the Claude API . Use cases Sonnet 4.5 is a powerful, versatile model—built for daily use, scaled production, and complex tasks. Sonnet 4.5 can produce near-instant responses or extended, step-by-step thinking that is made visible to the user. API users also have fine-grained control over how long the model thinks. Popular use cases include: Long-running agents Sonnet 4.5 offers superior instruction following, tool selection, error correction, and advanced reasoning for customer-facing agents and complex AI workflows. Code generation Sonnet 4.5 is a powerful choice for agentic coding, and can complete tasks across the entire software development lifecycle, from initial planning to bug fixes, maintenance to large refactors. It offers strong performance in both planning and solving for complex coding tasks, making it an ideal choice to power end-to-end software development processes. Sonnet 4.5 supports up to 64K output tokens, which is particularly valuable for rich code generation and planning. Browser and computer use Sonnet 4.5 excels in computer use capabilities, reliably handling any browser-based task from competitive analysis to procurement workflows to customer onboarding. Sonnet 3.5 was the first frontier AI model to be able to use computers in this way. Sonnet 4.5 uses computers even more accurately and reliably, and we expect the capability to improve over time. Cybersecurity Teams using Sonnet 4.5 with Claude Code can deploy agents that autonomously patch vulnerabilities before exploitation, shifting from reactive detection to proactive defense. Financial analysis Sonnet 4.5 handles everything from entry-level financial analysis to advanced predictive analysis. For example, it can continuously monitor global regulatory changes and preemptively adapt compliance systems, evolving beyond manual audit preparation to intelligent risk management. Business tasks Sonnet 4.5 excels at producing and editing office files like slides, documents, and spreadsheets. Research Sonnet 4.5 can search through external and internal data sources to synthesize comprehensive insights across complex information landscapes. Content generation and analysis Sonnet 4.5 excels at writing and can understand nuance and tone to generate more compelling content and analyze content on a deeper level. Benchmarks Sonnet 4.5 is our powerful and versatile model for everyday use, combining strong reasoning with efficient performance. It excels at powering agents for financial analysis, cybersecurity, and research—coordinating multiple agents and processing high volumes of data with the reliability these domains demand. Trust & Safety We ’ ve conducted extensive testing and evaluation of Sonnet 4.5, working with external experts to ensure it meets our standards for safety, security, and reliability. In the model card for this release, we discuss new safety results in several categories. Hear from our customers We're seeing state-of-the-art coding performance from Claude Sonnet 4.5, with significant improvements on longer horizon tasks. It reinforces why many developers using Cursor choose Claude for solving their most complex problems. Michael Truell Co-founder and CEO , Cursor Claude Sonnet 4.5 amplifies GitHub Copilot's core strengths. Our initial evals show significant improvements in multi-step reasoning and code comprehension—enabling Copilot's agentic experiences to handle complex, codebase-spanning tasks better. We expect these gains to deliver meaningful value to developers moving from idea to implementation with confidence. Mario Rodriguez Chief Product Officer , Github Claude Sonnet 4.5 reduced average vulnerability intake time for our Hai security agents by 44% while improving accuracy by 25%, helping us reduce risk for businesses with confidence. Nidhi Aggarwal Chief Product Officer , HackerOne For Devin, Claude Sonnet 4.5 increased planning performance by 18% and end-to-end eval scores by 12%—the biggest jump we've seen since the release of Claude Sonnet 3.6. It excels at testing its own code, enabling Devin to run longer, handle harder tasks, and deliver production-ready code more consistently. Scott Wu Co-founder & CEO , Cognition Claude Sonnet 4.5 is state of the art on the most complex litigation tasks. For example, analyzing full briefing cycles and conducting research to synthesize excellent first drafts of an opinion for judges, or interrogating entire litigation records to create detailed summary judgment analysis. Pablo Arredondo Vice President, CoCounsel , Thomson Reuters Claude Sonnet 4.5's edit capabilities are exceptional — we went from 9% error rate on Sonnet 4 to 0% on our internal code editing benchmark. Higher tool success at lower cost is a major leap for agentic coding. Claude Sonnet 4.5 balances creativity and control perfectly, thoroughly completing tasks without over-engineering. Michele Catasta President , Replit For complex financial analysis—risk, structured products, portfolio screening—Claude Sonnet 4.5 with thinking delivers investment-grade insights that require less human review. When depth matters more than speed, it's a meaningful step forward for institutional finance. Stian Kirkeberg Head of AI and Machine Learning , Norges Bank Investment Management Claude Sonnet 4.5 delivers measurable improvements for Next.js tasks. It is particularly good at building and linting Next.js code, showing up to a 17% improvement over its predecessor. We're excited to integrate it into v0 and AI Gateway at launch, giving developers instant access to these advances. Guillermo Rauch CEO , Vercel Sonnet 4.5 is state-of-the-art for real-world, agentic enterprise workflows. We've seen a leap in reasoning capabilities within Snowflake Intelligence—enabling customers to extract deeper, more actionable insights from their data. Baris Gultekin VP of AI , Snowflake Claude Sonnet 4.5 resets our expectations—it handles 30+ hours of autonomous coding, freeing our engineers to tackle months of complex architectural work in dramatically less time while maintaining coherence across massive codebases. Sean Ward CEO & Co-Founder , iGent Claude Sonnet 4.5 delivers clear wins over Sonnet 4: sharper instruction-following, stronger planning, smarter parallelization. Tasks require fewer iterations, which is critical for our most demanding agentic workflows. Ankit Shankar AIP Product Lead , Palantir Claude Sonnet 4.5 shows strong promise for red teaming, generating creative attack scenarios that accelerate how we study attacker tradecraft. These insights strengthen our defenses across endpoints, identity, cloud, data, SaaS, and AI workloads. Sven Krasser Sr. Vice President for Data Science and Chief Scientist , Crowdstrike Claude Sonnet 4.5 is excellent at software development tasks, learning our codebase patterns to deliver precise implementations. It handles everything from debugging to architecture with deep contextual understanding, transforming our development velocity. Eric Wendelin Tech Lead, GenAI for Developer Productivity , Netflix 01 / 13 See Claude in action Coding What should I look for when reviewing a Pull Request for a Python web app? Ask Claude Writing Create a 3-month editorial calendar template for a weekly newsletter Ask Claude Students What's an effective study schedule template for final exams? Ask Claude Frequently asked questions When should I use Claude Sonnet 4.5? We offer different models across the spectrum of speed, price, and performance. Sonnet 4.5 delivers superior intelligence with optimal efficiency for high-volume use cases. We recommend Sonnet 4.5 for most AI applications where you need a balance of advanced capabilities and practical throughput—such as customer-facing agents, production coding workflows, content generation at scale, and real-time research tasks. How much does it cost to use Claude Sonnet 4.5 Pricing depends on how you want to use Sonnet 4.5. To learn more, check out our pricing page . When should I use extended thinking? Sonnet 4.5 is both a standard model and a hybrid reasoning model in one: you can pick when you want the model to answer normally and when you want it to use extended thinking. Extended thinking mode is best when performance and accuracy matter more than latency. It significantly improves response quality for complex reasoning tasks, extended agentic work, multi-step coding projects, and deep research. Thinking summaries help you understand key aspects of the model's reasoning process. Products Claude Claude Code Claude in Chrome Claude in Excel Claude in Slack Skills Max plan Team plan Enterprise plan Download app Pricing Log in to Claude Models Opus Sonnet Haiku Solutions AI agents Code modernization Coding Customer support Education Financial services Government Healthcare Life sciences Nonprofits Claude Developer Platform Overview Developer docs Pricing Regional Compliance Amazon Bedrock Google Cloud’s Vertex AI Console login Learn Blog Claude partner network Connectors Courses Customer stories Engineering at Anthropic Events Powered by Claude Service partners Startups program Tutorials Use cases Company Anthropic Careers Economic Futures Research News Responsible Scaling Policy Security and compliance Transparency Help and security Availability Status Support center Terms and policies Privacy policy Consumer health data privacy policy Responsible disclosure policy Terms of service: Commercial Terms of service: Consumer Usage policy © 2025 Anthropic PBC Claude Sonnet 4.5 \ Anthropic | 2026-01-13T08:49:35 |
https://www.fine.dev/blog/remote-first-tech-startup#5-focus-on-employee-well-being | How to Build a Remote-First Tech Team as a Startup CTO: Tools and Tactics Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Remote-First Tech Team as a Startup CTO: Tools and Tactics Building a successful remote-first tech team requires the right tools and tactics. Some startups thrive off of remote workers around the world - others are sunk by inefficiency and communication failures. In this post, we'll explore essential steps and technologies to help you build a high-performing remote-first team. Table of Contents Establish a Strong Communication Foundation Use the Right Collaboration Tools Create an Inclusive Team Culture Hire for Remote-Friendly Qualities Focus on Employee Well-Being Measure Team Performance Effectively Prioritize Security and Data Protection Choose a Collaborative AI Platform Stay on Top of Code Reviews 1. Establish a Strong Communication Foundation Communication is the lifeline of any remote-first tech team. Ensuring that everyone stays connected and informed requires a blend of asynchronous and real-time communication tools. As a startup CTO, consider investing in: Slack or Microsoft Teams for real-time messaging and updates. Zoom or Google Meet for video calls, meetings, and check-ins. Loom for recording walkthroughs and sharing asynchronous video updates. The key to building a cohesive team is setting clear expectations about how and when different tools should be used. Creating guidelines for communication not only helps streamline workflow but also reduces burnout by ensuring team members can disconnect after work hours. 2. Use the Right Collaboration Tools Your tech stack is crucial to enabling effective collaboration among remote engineers. Select tools that encourage transparency and make collaboration as seamless as possible. Here are some must-have tools for remote-first tech teams: GitHub or GitLab for version control and managing code collaboratively. Jira or Linear for tracking tasks and sprint planning. Confluence or Notion for documenting processes, creating shared knowledge bases, and improving accessibility to resources. A well-documented codebase and clearly defined processes empower developers to operate independently, minimizing bottlenecks and improving productivity. 3. Create an Inclusive Team Culture Fostering an inclusive and collaborative culture is essential to the success of a remote-first team. This starts with ensuring all voices are heard, regardless of geographic location. Here are a few tactics that can help: Regular Virtual Meetups : Schedule weekly check-ins or team-building events where team members can share updates, ask questions, and bond. Async Standups : Consider using tools like Geekbot to automate daily standups, enabling each member to share their progress and blockers asynchronously. Recognition and Feedback : Use platforms like 15Five to gather feedback and recognize individual contributions. It helps foster a positive work environment where team members feel valued. 4. Hire for Remote-Friendly Qualities Hiring for a remote-first tech team requires different criteria compared to an on-site environment. It’s crucial to look for qualities such as excellent written communication, self-motivation, and the ability to work autonomously. During the interview process, assess candidates for their comfort level with remote work by asking questions about their previous remote experiences, how they manage their time, and how they communicate asynchronously. Tools like HireVue can assist in conducting initial screenings through video interviews, allowing you to see how well candidates adapt to remote-first communication. Remember, some people thrive on the office atmosphere and are less efficient working from home, surrounded by distractions ranging from laundry to kids. Ask for an honest self-assessment: where do you perform better? When working from home, what does your day look like? 5. Focus on Employee Well-Being Employee well-being is fundamental for retaining top talent in a remote-first setup. As a startup CTO, your team's health should be a priority. Encourage employees to establish work-life balance, take breaks, and avoid overworking. Here are some ways to promote well-being: Flexible Work Hours : Give your team flexibility to work when they are most productive, keeping in mind that different time zones require adjustments. Wellness Programs : Platforms like Headspace or Calm can offer resources to help employees reduce stress and improve their mental health. No-Meeting Days : Designate a day of the week for no meetings to help everyone focus on deep work without interruptions. Context switching is a huge productivity killer. 6. Measure Team Performance Effectively Measuring performance in a remote-first environment can be tricky. Instead of relying on metrics like hours worked, focus on output-based performance indicators. Use tools like GitPrime to understand productivity metrics without micro-managing. Set clear, outcome-based goals for each team member and evaluate success based on these targets. Regular one-on-ones are also key for providing guidance, discussing blockers, and keeping each team member aligned with the broader business goals. 7. Prioritize Security and Data Protection Security is a non-negotiable aspect of building a remote-first tech team. Your remote employees will be accessing company resources from various locations, which presents unique challenges in terms of data protection. VPN and Endpoint Protection : Make sure that your team uses a secure VPN and endpoint protection software when accessing company servers. Password Managers : Tools like 1Password or LastPass can help keep team credentials secure. Multi-Factor Authentication : Enforce MFA to ensure that access to sensitive data is protected. Establishing best practices for security and ensuring that everyone understands the importance of cybersecurity is critical to preventing data breaches and protecting your business. 8. Choose a Collaborative AI Platform Selecting the right AI platform is essential for boosting productivity and collaboration among your remote team. Fine is designed specifically for teams, offering seamless integration with tools like Linear and GitHub, making it ideal for remote work. Unlike IDE-based AI assistants that are more suited for solo developers, Fine provides an all-in-one AI coding agent that enhances teamwork and accelerates startup growth. 9. Stay on Top of Code Reviews When working remotely, it can be easy for developers to finish writing code and leave it sitting, waiting for review for days or even weeks. Code reviews are essential for maintaining quality and ensuring knowledge sharing across the team. Use tools like Linear and GitHub to keep track of open tickets and close them efficiently. Setting up automated reminders for reviewers can help ensure that reviews are completed promptly, keeping the team moving forward and avoiding bottlenecks. Conclusion Building a remote-first tech team as a startup CTO is no easy feat, but with the right tools and strategies, it can lead to a more diverse and efficient development team. By focusing on communication, collaboration, culture, and security, you can create an environment where your remote team can thrive and innovate. The success of a remote-first team lies not just in the tools you use, but in how you nurture your team culture and make everyone feel connected despite the distance. Start small, iterate, and adapt as you learn more about your team’s needs—that’s how you’ll build a resilient and agile remote-first team ready for anything. Are you looking to streamline your development processes with collaborative AI coding? Discover how Fine can help your remote team collaborate better to ship software and boost productivity. Sign up today and see what AI-driven development can do for you! 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 | 2026-01-13T08:49:35 |
https://www.aixcoder.com | aiXcoder 智能软件开发工具 intelligent software development tool. What is aiXcoder?aiXcoder is an innovative, intelligent programming robot product. It is provided as a "virtual programming expert" trained with professional code from various fields. Through pair programming with aiXcoder, programmers will feel significant improvements in working efficiency. With the help of aiXcoder, programmers will shake off the traditional "word-by-word" programming operation. aiXcoder could predict programmers' intentions intelligently and complete "the following code snaps" automatically. Programmers just need to confirm the generated code by one button click. Thus, it could improve coding efficiency dramatically. aiXcoder | 2026-01-13T08:49:36 |
https://dev.to/alok_kumar_6b77341922cec2/mastering-end-to-end-testing-for-reliable-modern-software-2enm | Mastering End to End testing for Reliable Modern Software - 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 Alok Kumar Posted on Nov 5, 2025 Mastering End to End testing for Reliable Modern Software # testing # webdev # programming # software In today’s world of interconnected systems, software applications are more complex than ever. These applications involve a mix of frontend , backend , databases , and often third-party integrations . While unit and integration tests focus on specific components, end‑to‑end (E2E) testing ensures that the entire application works as expected across all layers. It is the final line of defense before deployment, offering full validation of the system’s end-to-end flow. In this post, we’ll explore what end‑to‑end testing entails, why it’s essential for modern software delivery, and how to implement it effectively in your development pipeline. Why End to End Testing Is Crucial for Modern Software In today's fast-paced software development landscape, where applications are increasingly distributed and complex, ensuring that every part of the system functions as expected can be overwhelming. Microservices, REST APIs, databases, third-party integrations, and front-end elements must work together in a seamless flow to ensure a positive user experience. However, it’s all too common for bugs to emerge when services interact in production environments, even if unit and integration tests pass for individual components. This is where end-to-end testing becomes invaluable. End-to-End Testing validates the flow of data through the entire system, ensuring that from the moment a user interacts with the app, everything works smoothly in real-world conditions. It simulates how users interact with the system — from logging in and performing actions to data processing and notifications. Without it, you risk missing critical failures that could go unnoticed in isolated tests. What Does End to End Testing Cover? End-to-end tests are comprehensive. They don’t just check individual components in isolation; they ensure that entire workflows, including multiple interacting components, perform as expected. Some key areas that E2E testing typically covers include: Frontend Testing : Verifies the user interface (UI), form submission, button clicks, and data rendering. Backend Testing : Ensures that business logic, APIs, and servers are functioning correctly and communicating with the UI and database. Database Integration : Verifies that data is being read and written correctly from the database, ensuring no data integrity issues. Third-party Service Testing : Ensures that integrations with external services (e.g., payment gateways, social media logins) are working as expected. Cross-platform Testing : Tests how the application performs on different platforms and devices (e.g., mobile, desktop). E2E testing is critical for full system validation , ensuring that all pieces of the application — from front to back — work together without breaking. Key Benefits of End-to-End Testing While unit and integration tests check individual components, end-to-end tests ensure that everything works together as a cohesive whole. Here’s why this is important: Complete System Coverage : E2E tests check entire user journeys, from frontend interactions to backend processes, providing a more holistic approach to testing. Improved User Experience : Since E2E tests simulate actual user behavior, they ensure that the app meets user expectations, reducing the chances of frustrating bugs or failures after deployment. Better Detection of Complex Bugs : Some issues only appear when multiple services interact, such as timing issues, network failures, or data synchronization problems. E2E tests catch these issues before they reach production. Increased Deployment Confidence : E2E testing integrates into continuous integration/continuous deployment (CI/CD) pipelines, ensuring every code change goes through comprehensive validation before deployment. This leads to more frequent and reliable releases. The Challenges of End-to-End Testing Although E2E testing brings tremendous value, it’s not without its challenges. Some common hurdles include: Flaky Tests : Since E2E tests cover multiple services, they can be prone to flakiness due to network issues, timing problems, or external dependencies. Slow Execution : E2E tests typically take longer to run than unit or integration tests, especially when they involve UI automation or real data. Complex Test Environments : Setting up realistic test environments that mirror production is often time-consuming and requires significant resources. Test Maintenance : As applications evolve and features change, maintaining E2E tests can become difficult, especially when there are frequent UI or API changes. Despite these challenges, advancements in test automation tools are helping teams overcome them. How to Implement Effective End-to-End Testing To build a reliable and efficient end-to-end testing suite, follow these best practices: Prioritize Critical User Journeys : Focus on testing the most important workflows — for example, user login, payment processing, and checkout. Start with the paths that users interact with the most. Use Test Automation Frameworks : Leverage popular test automation frameworks like Cypress , Selenium , or Playwright for front-end testing. These tools allow you to simulate real user interactions and validate UI behavior automatically. Mock External Services : While testing in production environments is ideal, it’s often impractical. Instead, use mocking or stubbing to simulate interactions with external systems like payment gateways or third-party APIs. Run Tests in Parallel : To mitigate the long execution time of E2E tests, consider running them in parallel across different environments or test machines. This speeds up feedback cycles and makes testing more efficient. Integrate E2E Tests into CI/CD : Automate the execution of E2E tests as part of your CI/CD pipeline. Every code push or pull request should trigger an automated suite of tests, ensuring that no changes break existing workflows. Monitor Test Results : Actively monitor the results of your E2E tests and track flaky tests. Refine tests that fail intermittently and make necessary adjustments to improve reliability. Using AI to Enhance End-to-End Testing AI and machine learning are transforming how we approach E2E testing. With Keploy , for example, AI-powered traffic recording allows teams to automatically generate tests based on real user interactions. By capturing actual traffic and responses, Keploy can create reusable and maintainable test cases without manual input. Furthermore, AI tools can adapt to changes in the application, automatically updating test cases to accommodate UI updates or API modifications. These advancements allow teams to test more thoroughly and with greater confidence — making the process smarter and more efficient . For more on automated test generation , visit Keploy . Conclusion: The Future of Software Testing As software architectures become more complex, end-to-end testing will continue to be an essential part of the development process. By validating entire user journeys, E2E testing ensures that all parts of the system work together seamlessly, helping you deliver a flawless user experience. With modern testing tools like Keploy and the rise of AI-driven test automation, the future of E2E testing is not only automated but intelligent. By embracing smarter testing practices, teams can push code with confidence, accelerate release cycles, and continuously improve software quality. 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 EchoSparrow EchoSparrow EchoSparrow Follow Joined Oct 31, 2025 • Nov 5 '25 Dropdown menu Copy link Hide Really informative post! End-to-end testing often gets overlooked, but it’s key to catching real-world issues before release. I like how you highlighted AI-driven tools like Keploy they make managing and maintaining tests so much easier. 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 Alok Kumar Follow Joined Oct 14, 2025 More from Alok Kumar Integration Testing: Definition, How-To, Examples # testing # programming # cicd # keploy What is Grey Box Testing? (Techniques & Example) # testing # keploy # greybox # sdlc AI for Coding: Transforming Software Development in 2025 # aicode # programming # coding # keploy 💎 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 | 2026-01-13T08:49:36 |
https://dev.to/challenges/brightdata-2025-05-07#main-content | Bright Data Real-Time AI Agents Challenge - DEV Challenge - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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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 Challenges > Bright Data Real-Time AI Agents Challenge CHALLENGE RESULTS 🏆 Winners Announced! 🎊 Congratulations to the winner of the Bright Data Real-Time AI Agents Challenge! Read Announcement Challenge ends soon! Submit your entry now DAYS : HOURS : MINUTES : SECONDS See prompts Bright Data Real-Time AI Agents Challenge View Entries Please sign in to follow this challenge Give your AI the keys to the Web Challenge Status: Ended Ended Join our next Challenge Running through May 18 May 25, the Bright Data Real-Time AI Agents Challenge invites you to build intelligent AI agents and systems that can autonomously interact with the web, retrieve live data, and make decisions based on the most current information available. One talented winner will receive: $3,000 USD DEV++ Membership Exclusive DEV Badge All participants will receive a completion badge. Whether you're an AI engineer, data scientist, or vibe coder, this hackathon is the perfect opportunity to build something awesome. Key Dates Contest start: May 07, 2025 Submissions due: May 25, 2025 Winners announced: June 05, 2025 Badge Rewards Bright Data Challenge Completion Badge Bright Data Challenge Winner Badge Find Out More Ask questions and share your ideas on the Bright Data Real-Time AI Agents Challenge Launch Post. View Launch Post Sponsored by Bright Data Bright Data is the global leader in limitless web data infrastructure for AI & BI. Their platform enables users to discover, access, extract, and interact with any public website delivering structured, reliable, real-time or historical data at petabyte scale. Whether you’re building a single agent or a full-scale AI pipeline, Bright Data ensures your models, workflows, and business intelligence systems are powered by the freshest, most flexible data available. Learn More → Challenge Prompt Real-time Agents Your mandate is to leverage Bright Data and build an AI agent or system powered by real-time web data . The most powerful submissions will utilize Bright Data's MCP server to enable all four key actions: Discover: Find relevant content across the open web Access: Navigate even the most complex or protected websites Extract: Pull structured, real-time data at scale Interact: Engage with dynamic, JavaScript-rendered pages as a human would The MCP server is specifically designed to empower AI agents to perform these actions seamlessly, and we encourage you to incorporate all four capabilities in your project. The most important aspect? Your solution should showcase how access to reliable web data improves AI performance in solving real-world problems. Submission Template Judging Criteria: Utilization of Underlying Technology Usability and User Experience Accessibility Writing Quality (Clarity and Originality) Frequently Asked Questions Participation Can I submit to multiple prompts? Yes, you are welcome to submit to multiple prompts. Can one submission qualify for multiple prompts? Yes, if your submission offers a solution to multiple prompts, it can qualify for multiple prompts. Can I submit to a prompt more than once? Yes, you can submit multiple submissions per prompt but you’ll need to publish a separate post for each submission. In the event that you may win two or more prompts, and your submission is very close with another participant, we will favor the other participant. In the event that you do win two or more prompts, you will only receive one winner badge. Can I work on a team? 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You can use someone else’s code to give you a jumpstart to demonstrate your ideas on top of someone else’s base, but not just re-package the base. It should be clear to the judges what you added to the project in terms of the code and conceptual inspiration. This means, you should clearly state what you were building on and what elements are original to this new submission. When building on existing code, we expect a significant change that adds something tangible to the output. i.e. a new animation, and new sprite, a new function, a new presentation. Not just changes to the source - i.e. changing colours, changing one sprite, changing one function. What happens if my submission is considered plagiarized or invalid? Anything deemed to be plagiarism will not be eligible for prizes. Incidental plagiarism may simply result in your disqualification from the challenge (regardless of the number of other valid submissions you have published). Egregious plagiarism will result in your suspension from DEV entirely. Any non-generic, non-trivial usage of prior work, including open source code must be credited in your submission. Do submissions have to be in English? Non-english submissions are eligible for a completion badge but not eligible for prizes due to the current limitations of our judges. We will not be judging on mastery of the English language, so please don’t let this deter you from submitting if you are not a native English speaker! We hope to evolve this in the future to be more accommodating. Do I need a license for my code? You are not required to license your code but we strongly recommend that you do. Here are some you may consider: MIT , Apache , BSD-2 , BSD-3 , or Commons Clause . Can I use AI? Use of AI is allowed as long as all other rules are followed. We want to give you a chance to show off your skills in realistic scenarios. If you use AI tools to help you achieve your submission, all the power to you. How do I embed my project directly into my DEV post? Our editor supports many types of embeds, including: Stackbliz, Glitch, Github, etc. You can typically use the {% embed https://... %} syntax directly in the post. Click here for more information on our markdown support. For CodePen, you will need to use this syntax: {% codepen http://... %} For CodeSandbox, you will need to use this syntax: {% codesandbox http://... %} Judging and Prizing Can there be ties? In the event of a tie in scoring between judges, the judges will select the entry that received the highest number of positive reactions on their DEV post to determine the winner. How will I know if I won? Winners will be announced in a DEV post on the winner announcement date noted in our key dates section. When will winners receive their Forem Shop gift? The DEV Team will contact you via the email associated with your DEV profile within, at most, 10 business days of the announcement date to share the details of the shop gift. When will I receive my DEV badge? Both participation and winner badges will be awarded, in most cases, the same day as the winner announcement. When will I receive my prizes? The DEV Team will contact you via the email associated with your DEV profile within, at most, 10 business days of the announcement date to share the details of claiming your prizes. What steps do I need to take to receive my cash prize? The winner (including each member of a team) may be required to sign and return an affidavit of eligibility and publicity/liability release, and provide any additional tax filing information (such as a W-9, social security number or Federal tax ID number) within seven (7) business days following the date of your first email notification. Bright Data Real-Time AI Agents Challenge Rules NO PURCHASE NECESSARY. Open only to 18+. Contest entry period ends May 18, 2025 at 11:59 PM PDT. Contest is void where prohibited or restricted by law or regulation. All entires must be submitted during the content period. For Official Rules, see Bright Data Real-Time AI Agents Challenge Contest Rules and General Contest Official Rules . Dismiss 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. 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https://www.fine.dev/blog/bolt-vs-v0#overview-of-boltnew-and-v0-by-vercel | Comparing Bolt.new and v0 by Vercel: Which AI-Powered Development Tool Suits Your Startup? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Comparing Bolt.new and v0 by Vercel: Which AI-Powered Development Tool Suits Your Startup? Every second counts. Choose the wrong AI-powered development platform, and you risk burnout. We'll compare two key tools—Bolt.new and v0 by Vercel—then introduce Fine , the alternative that might be just what you need. Table of Contents Introduction: Setting the Stage Overview of Bolt.new and v0 by Vercel Comparative Analysis The Hidden Gaps Enter Fine: The Startup’s Secret Weapon Call to Action: Try Fine Today Conclusion Bibliography Overview of Bolt.new and v0 by Vercel Bolt.new What It Is: Bolt.new is an AI-powered full-stack development platform that operates directly within your browser. Designed to streamline the development process, Bolt.new leverages artificial intelligence to facilitate rapid app creation without the traditional overhead. Key Features: Generates and Runs Multi-Page Apps: Create complex, multi-page applications effortlessly. Uses Natural Language Prompts: Interact with the platform using simple natural language commands, making development more intuitive. One-Click Deployment: Deploy your applications with a single click, reducing the time from development to production. Strengths: Bolt.new excels in rapid prototyping and easy scaling. Its AI-driven approach enables developers, especially those just starting out, to quickly iterate on ideas and scale applications as user demands grow, all within a user-friendly interface. v0 by Vercel What It Is: v0 by Vercel is an AI-driven UI generator tailored specifically for React and Tailwind CSS. It focuses on enhancing the front-end development experience, making it easier to create visually appealing and responsive user interfaces. Key Features: Generates React Components from Natural Language: Describe the UI you want, and v0 will generate the corresponding React components. Seamless Next.js and Tailwind Integration: Built to work flawlessly with Next.js and Tailwind CSS, ensuring your projects maintain consistency and scalability. AI SDK 3.0 for Real-Time UI Rendering: Leverage the latest AI SDK to render UIs in real-time, facilitating immediate feedback and adjustments. Strengths: v0 is particularly beneficial for those deploying their front-end via Vercel. Comparative Analysis Development Speed: Which Tool Gets Your MVP Out Faster? When time is of the essence, development speed is paramount. Bolt.new shines with its AI-driven full-stack capabilities, enabling rapid prototyping and swift transitions from development to deployment. Its one-click deployment feature ensures that your Minimum Viable Product (MVP) can reach the market quickly without the usual delays. On the other hand, v0 by Vercel is optimized for front-end development. While it accelerates UI creation with its natural language-driven component generation, it may require additional tools or platforms to handle back-end functionalities, potentially elongating the overall development timeline for a full-stack MVP. Winner: Bolt.new offers a more comprehensive solution for getting an MVP out faster, especially if your project demands both front-end and back-end capabilities from the outset. Tech Stack Integration: Flexibility in Choosing Libraries and Frameworks Bolt.new provides a unified environment that may limit flexibility in choosing specific libraries and frameworks outside its ecosystem. While it supports multi-page app generation and scaling, integrating additional tools might require workarounds or may not be as seamless. v0 by Vercel excels in tech stack integration, especially for projects centered around React and Tailwind CSS. Its seamless integration with Next.js allows developers to leverage a robust and popular framework, ensuring compatibility with a wide range of libraries and tools within the React ecosystem. Winner: v0 by Vercel offers greater flexibility for projects that rely heavily on specific front-end frameworks and libraries, making it a better choice for tech stacks centered around React and Tailwind. Ease of Use: How Intuitive Are They for Non-Expert Developers? Both platforms prioritize user-friendly interfaces, but their approaches differ. Bolt.new uses natural language prompts for development, making it highly accessible for non-expert developers or those new to full-stack development. Its comprehensive toolset reduces the learning curve, allowing users to focus on building rather than configuring. v0 by Vercel also employs natural language prompts for generating UI components, which simplifies front-end development. However, its focus is more specialized, which might require users to have a basic understanding of React and Tailwind to fully leverage its capabilities. Winner: Bolt.new edges out slightly as the more intuitive option for non-expert developers seeking a full-stack solution without needing deep technical knowledge. Collaboration: Support for Team-Based Projects and Feedback Loops Effective collaboration is essential for startup teams. Bolt.new offers collaborative features that support team-based projects, allowing multiple developers to work simultaneously and integrate feedback seamlessly. Its AI-driven environment facilitates real-time collaboration, making it easier to manage team workflows. v0 by Vercel also supports collaboration, particularly in the context of front-end development. Its integration with design tools and real-time UI rendering fosters a collaborative design and development process. However, its focus on the front end might require additional collaboration tools for back-end or full-stack projects. Winner: Both platforms offer solid collaboration features, but Bolt.new provides a more holistic approach for full-stack team projects, making it more suitable for comprehensive team collaboration. Deployment Options: Bolt.new’s One-Click Deploy vs. Vercel’s Platform-Specific Integrations Bolt.new simplifies deployment with its one-click deploy feature, allowing developers to push their applications to production effortlessly. This streamlined process is ideal for startups needing quick deployments without extensive configuration. v0 by Vercel, part of the Vercel ecosystem, offers platform-specific integrations that provide optimized deployment for front-end applications. While it excels in deploying React and Tailwind projects, the process might require more steps compared to Bolt.new’s all-in-one deployment approach. Winner: Bolt.new provides a quicker and more straightforward deployment process, which is advantageous for startups looking to minimize deployment complexities. Cost & Accessibility: Free Tiers vs. Paid Plans and Limitations Both Bolt.new and v0 by Vercel offer free tiers, allowing startups to explore their features without immediate financial commitment. However, their paid plans vary in terms of features and scalability. Bolt.new’s free tier includes essential features for small projects, but scaling might require upgrading to paid plans that offer enhanced capabilities like advanced AI features and higher deployment limits. v0 by Vercel integrates into Vercel’s pricing model, which provides scalable plans based on usage. The free tier is generous for front-end projects, but extensive usage or the need for advanced integrations will necessitate moving to a paid plan. Winner: Both platforms offer competitive pricing structures, but Bolt.new may present a more cost-effective solution for full-stack needs, whereas v0 by Vercel is ideal for startups heavily focused on front-end development. The Hidden Gaps While both Bolt.new and v0 by Vercel offer impressive features, they have their shortcomings that startups should consider. Where Bolt.new Falls Short: Limited Integrations with Issue Trackers: Bolt.new lacks extensive integrations with popular issue trackers like GitHub or Linear , which are essential for managing development workflows and tracking bugs. Where v0 by Vercel Falls Short: Limited Back-End and Full-Stack Support: v0 is primarily focused on front-end UI generation , offering limited support for back-end and full-stack solutions, which can hinder comprehensive application development. Common Gaps: Minimal Collaborative Automation: Both platforms provide basic collaboration features but lack advanced collaborative automation beyond individual development, making it challenging to manage larger, more complex team projects efficiently. Enter Fine: The Startup’s Secret Weapon While Bolt.new and v0 by Vercel each have their strengths, Fine emerges as the ultimate solution that bridges their gaps and offers a more comprehensive development environment tailored for startups. How Fine Bridges the Gaps: Comprehensive AI Agent Support: Fine supports both front-end and back-end development, providing AI agents that handle the entire stack. This eliminates the need to juggle multiple tools and ensures a cohesive development process. Live Previews: Build, run, and test your applications directly in the browser with Fine’s live previews. This feature allows developers to see changes in real-time, facilitating immediate feedback and quicker iterations. Workflow Automation: Fine automates repetitive tasks, reducing development cycle times and allowing developers to focus on what truly matters—building innovative solutions. Automation features streamline workflows, enhancing productivity and efficiency. Team Collaboration: With shared workspaces, Fine offers streamlined project management for teams. Multiple developers can work together seamlessly, with integrated feedback loops and collaborative tools that enhance teamwork and communication. Specific Benefits for Startups: Faster MVP Launches with Fewer Bugs: Fine’s comprehensive toolset and AI-driven capabilities enable startups to develop and launch their MVPs quickly while maintaining high code quality, reducing the likelihood of bugs and errors. Enhanced Code Consistency and Quality: The platform enforces consistent coding standards and best practices, ensuring that the codebase remains maintainable and scalable as the startup grows. Integration with GitHub and Linear for End-to-End Workflow: Fine seamlessly integrates with popular tools like GitHub and Linear, providing an end-to-end workflow that encompasses version control, issue tracking, and project management. This integration ensures that all aspects of development are interconnected and easily manageable. Call to Action: Try Fine Today Whether you're intrigued by Bolt.new's all-in-one full-stack environment or v0 by Vercel’s sleek UI generation, Fine offers the perfect blend of both worlds—and then some. By addressing the limitations of both platforms and providing a more holistic development environment, Fine stands out as the optimal choice for startups aiming to save time, reduce complexity, and scale efficiently. Ready to elevate your development process? Try Fine today with our free trial or enjoy our easy sign-up process to get started on building your next big idea without the hassle. Conclusion Choosing the right development tool is a critical decision for startups striving to build robust, scalable applications efficiently. Bolt.new offers a powerful full-stack solution with rapid deployment capabilities, while v0 by Vercel excels in front-end UI generation and seamless integration with React and Tailwind. However, both platforms have their limitations, particularly in areas like comprehensive integrations and collaborative automation. Fine emerges as the ultimate solution for startup developers, bridging the gaps left by Bolt.new and v0 by Vercel. With its comprehensive AI agent support, live previews, workflow automation, and robust team collaboration features, Fine empowers startups to launch faster, maintain high code quality, and scale seamlessly. Your startup’s success story starts with the right tools. Choose Fine and set your development process on the path to efficiency, innovation, and growth . Full Table of Contents Introduction: Setting the Stage Overview of Bolt.new and v0 by Vercel Bolt.new v0 by Vercel Comparative Analysis Development Speed: Which Tool Gets Your MVP Out Faster? Tech Stack Integration: Flexibility in Choosing Libraries and Frameworks Ease of Use: How Intuitive Are They for Non-Expert Developers? Collaboration: Support for Team-Based Projects and Feedback Loops Deployment Options: Bolt.new’s One-Click Deploy vs. Vercel’s Platform-Specific Integrations Cost & Accessibility: Free Tiers vs. Paid Plans and Limitations The Hidden Gaps Where Bolt.new Falls Short Where v0 by Vercel Falls Short Common Gaps Enter Fine: The Startup’s Secret Weapon How Fine Bridges the Gaps Specific Benefits for Startups Call to Action: Try Fine Today Conclusion Bibliography Bibliography 10Web. (n.d.). v0 by 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 by 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 by Vercel - Reviews, Pros & Cons | Companies using v0 by 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 | 2026-01-13T08:49:36 |
https://dev.to/devteam/congratulations-to-the-winner-of-the-bright-data-real-time-ai-agents-challenge-h92 | Congratulations to the winner of the Bright Data Real-Time AI Agents Challenge! - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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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 dev.to staff for The DEV Team Posted on Jun 10, 2025 Congratulations to the winner of the Bright Data Real-Time AI Agents Challenge! # devchallenge # brightdatachallenge # ai # webdev The results are in! We’re thrilled to announce the much-anticipated winner of the Bright Data Real-Time AI Agents Challenge . Participants combined the power of Bright Data with the intelligence of an LLM to create agents that thrive on live, ever-changing data — whether reporting on local disruptions or analyzing social profiles, your creativity brought these ideas to life in brilliant ways. With so many outstanding submissions, choosing just one winner was incredibly difficult. Whether or not you win, we hope you're proud of what you accomplished! 🏆 Congratulations to... Reputato by @olgabraginskaya "Not every company is golden. We sniff out the ones that are." A light-hearted agent for a serious topic: understanding a company's reputation before applying for jobs or making business decisions. Reputato is an OSINT-style AI agent that helps users research companies by gathering real-time data from multiple sources including LinkedIn, Glassdoor, Crunchbase, and news outlets to reveal what's really happening behind the corporate facade. 🥔 Reputato: Not Every Company Is Golden. We Sniff Out the Ones That Are. Olga Braginskaya ・ May 16 #devchallenge #brightdatachallenge #ai #webdata You can spot red flags or green lights with Reputato's simple 1-5 potato rating system! Our winner will receive $3,000, an exclusive DEV badge, and a DEV++ membership ! All participants will receive a completion badge. Our Sponsor A huge thank you to Bright Data for supporting this challenge and enabling developers to turn web data into intelligent action. What’s next? We're always launching new challenges - be sure to follow the tag so you don't miss them: # devchallenge Follow This is the official tag for submissions and announcements related to DEV Challenges. Thank you again to everyone who participated! We hope you had fun, felt challenged, and maybe added a thing or two to your professional profile. Interested in being a volunteer judge for future challenges? Learn more here ! Top comments (7) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Olga Braginskaya Olga Braginskaya Olga Braginskaya Follow Oh That Data Girl Anti-Bullshit Enthusiast. Data engineer with a systems mindset, mildly owned by cats. Writing what I wish someone had written earlier. Pronouns she/her Work Senior Data Engineer Joined Mar 22, 2023 • Jun 10 '25 Dropdown menu Copy link Hide I've never won anything in my life - this is a first and I still can't believe it. Huge thanks to the DEV team and Bright Data for such a fun and inspiring challenge ❤️. Reputato was built straight from the heart (and a bit of sarcasm). Like comment: Like comment: 16 likes Like Comment button Reply Collapse Expand Jess Lee The DEV Team Jess Lee The DEV Team Jess Lee Follow Building DEV and Forem with everyone here. Interested in the future. Email jess@forem.com Location USA / TAIWAN Pronouns she/they Work Co-Founder & COO at Forem Joined Jul 29, 2016 • Jun 10 '25 Dropdown menu Copy link Hide 👏 👏 👏 @olgabraginskaya Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Nizzad Nizzad Nizzad Follow Data Scientist / AWS Certified (2X) ML Specialist | AWS ABW Grant Recipient '24 | 2 (Masters + Bachelors) | Researcher - NLP (Bias & Fairness) | Attorney-at-Law | Supervised 100+ Location Abu Dhabi, United Arab Emirates Education BIT (UOM), MSc in IT (SLIIT), MBA (SEUSL), LL.B (OUSL), Attorney-at-Law Pronouns He/Him Work Data Scientist, AI Engineer, Machine Learning Engineer, Research Supervisor Joined Jan 9, 2025 • Jun 12 '25 Dropdown menu Copy link Hide Congratulations Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Raziel Rodrigues Raziel Rodrigues Raziel Rodrigues Follow Useful technical articles and thoughts about everything Email raziel.rodrigues@outlook.pt Location Brazilian living in Portugal Joined Jun 15, 2023 • Jun 10 '25 Dropdown menu Copy link Hide Congratulations, Olga! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Mahmoud Harmouch Mahmoud Harmouch Mahmoud Harmouch Follow Stay humble like a bumblebee 🐝. Email oss@wiseai.dev Location Ferris Cosmos 🌌 Education Diploma in Rust Pronouns he/him Work Freelance Rust Engineer Joined Mar 9, 2022 • Jun 10 '25 Dropdown menu Copy link Hide Nice, congrats! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Oseni Ayomide Daniel Oseni Ayomide Daniel Oseni Ayomide Daniel Follow Building Innovative Solutions Joined May 23, 2025 • Jun 15 '25 Dropdown menu Copy link Hide Congrats Olga Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand utestwalter utestwalter utestwalter Follow Hi, I am AI enthusiast and science explorer. Welcome! Joined Jun 10, 2025 • Jun 10 '25 Dropdown menu Copy link Hide Congratulations, Olga! Like comment: Like comment: 1 like Like Comment button Reply Some comments may only be visible to logged-in visitors. 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Shared folders Shared folders Share passwords and data in organized folders while controlling access through customizable permissions to ensure team members have the appropriate level of access and enhance collaboration and security. 25 security policies 25 security policies Configure policies around security levels and password strength to ensure optimal protection. Business Effortless password and access management for small and medium-size businesses {LPBusiness} user/month billed annually* Try free for 14 days Buy Business Everything in Teams, plus: 100+ security policies LastPass Families for employees LastPass Families for employees Extend the convenience and protection of LastPass to your employees' families to reduce the risk of compromised personal accounts affecting workplace security. Each employee gets a personal LastPass account plus 5 licenses to share with family and friends . Group user management Group user management Import or create groups to efficiently organize employees, optimize shared credentials, and establish group-specific policies, ensuring tailored security and access for every team. Most admin controls Business Max Advanced protection and secure access for any business with more admin control {LPBusinessSSOMFA} user/month billed annually* Try free for 14 days Buy Business Max Everything in Business, plus: SaaS Monitoring SaaS Monitoring Get visibility of apps used across your organization, identify weak security practices, and optimize SaaS spending. SaaS Protect SaaS Protect Take immediate action to govern your SaaS usage, block or restrict access to risky apps, and address credential risk. Unlimited number of SSO apps Unlimited number of SSO apps “Unlimited SSO” adds Single Sign-On (SSO) to an unlimited number of apps, in addition to the three included in the base Business plan. Advanced MFA capabilities Advanced MFA capabilities “Advanced MFA” extends passwordless authentication to all endpoints – workstations, VPNs, identity providers – by combining biometric and contextual policies. Free For starters Limited to 1 device type. Simple password management with unlimited password storage, autofill, dark web monitoring, and basic password sharing. Learn more Get Free Includes 30-day trial of Premium Contact Sales team to request a demo, learn about admin and end user features and see how LastPass solutions fit your business needs. *Applicable taxes will be applied at checkout. Compare plans LastPass is ever evolving Blog Get the latest updates and security tips from LastPass Labs, cybersecurity intelligence, and product teams. Read the blog Resource center Explore a library of expert insights, tools, tips, and resources to help simplify and strengthen your password management. Go to Resource Center Trust Center Learn more about why people trust LastPass: our privacy, product and operational enhancements, as well as well as our future plans. Visit Trust Center Newsroom See the latest media, news, and press releases about the happenings at LastPass. Visit the newsroom Frequently asked questions How can I access LastPass? LastPass is accessible on computers (MacOS, Windows, Linux, Safari, Chrome, Firefox, Edge) and mobile devices (iOS, WatchOS, and Android). Free users can only use LastPass on one device type (computer or mobile), while paid users have unlimited access. Download LastPass apps How does LastPass securely store passwords? Your LastPass vault secures your data on your trusted device through zero-knowledge encryption . Your device encrypts and hashes your passwords locally before sending them to LastPass servers. The next time you need to log in, LastPass returns your encrypted passwords – which are decrypted by your trusted device. Does LastPass have access to my passwords? No, our zero-knowledge security model ensures your data remains yours: your master passwords and anything you store in your password vault – passwords, credit cards, mailing addresses, secure notes – are never visible or accessible to LastPass. How does LastPass encryption work? LastPass is built on a zero-knowledge encryption method , which ensures you are the only person who knows your master password – the key used to decrypt your password vault. Thanks to 256-bit AES encryption and PBKDF2 derivation function with a secure hash (SHA256), with salting, your master password is never stored on our servers in its plaintext format, so only you will know what it is. Is LastPass no longer safe? LastPass secures all passwords, so you don't have to, ensuring that your most important credentials are protected, private, and always within reach. We have undergone an extensive security transformation; emerging as a stronger, more innovative, and independent company with an unwavering commitment to security, privacy, and customer satisfaction. We seized a unique opportunity to implement an entirely new security and privacy infrastructure across our development and production environments, moved to a purpose-built, highly available and secure Cloud platform, rolled out an entirely new fleet of managed end user devices, and enhanced security and privacy within our digital vault, including achieving ISO 27701 compliance. We’ve also invested significant resources to strengthen our privacy and security teams, establishing new business units, such as our Privacy Operations, Safety and Trust (POST) team, which focuses on safeguarding customer privacy and protecting against fraud and abuse. Additionally, our new Threat Intelligence, Mitigation, and Escalation (TIME) team provides actionable security insights and advanced threat intelligence on LastPass Labs, our content hub for the market and our customers. We have documented so much of this journey through updated support articles and close to real-time monitoring of LastPass systems within our new Compliance Center, keeping customers informed every step of the way. Learn more about why people trust LastPass What is the deal with LastPass? LastPass is a popular password manager that helps users store and manage their passwords. In December 2022, LastPass disclosed a security incident. LastPass remains committed to delivering a secure set of products and services for LastPass customers, and is continuously making improvements and investments across people, processes, and infrastructure to deliver on this commitment. By streamlining the process of password management and enhancing security, LastPass provides a comprehensive solution for individuals and businesses looking to protect their digital identities. Get more details on what has been done to secure LastPass Where is the safest place to keep passwords? The safest place to keep your passwords is in a password manager like LastPass. Password managers securely store your login credentials in an encrypted vault, ensuring that only you can access them. By using a password manager, you can generate and store strong, unique passwords for each of your accounts, significantly reducing the risk of your credentials being compromised. This method not only enhances your overall security but also simplifies the process of managing multiple passwords, making it easier to maintain good password hygiene. Learn more about LastPass password vault What's more secure than LastPass? When considering alternatives to LastPass, it’s important to look for password managers that offer robust encryption, security audits and transparent privacy policies. While LastPass is a robust and secure password manager, it's important to note that all password managers face common threats, such as phishing attacks. To ensure maximum security, users should regularly update their password manager software, enable two-factor authentication (2FA), and stay vigilant against phishing attempts. It's crucial to prioritize strong security practices, such as using a unique and complex master password and setting up secure recovery options. Additionally, users should be cautious about where they enter their master password and be aware of the signs of phishing scams. By combining a reliable password manager with these best practices, users can significantly enhance their overall digital security. For additional details, you can visit the LastPass security page or our support site to learn about our security updates . What are the disadvantages of LastPass? Some users find the limited features of the LastPass free version a disadvantage. Paid plans offer more functionality, for a fee. Users of the free version may miss functionalities such as password sharing, personal customer support, and emergency access. These limitations can be a drawback for individuals who require more robust password management tools but do not want to subscribe to the paid plans. Additionally, the free version limits users to syncing their passwords on only one type of device – either mobile or desktop. Learn more about why LastPass is loved by millions and recognized by experts Password management that makes work and life more secure Business Personal Free trial for all plans available. No credit card required. Products Home Page What is a password manager? Why LastPass? How is LastPass secure? How LastPass works Pricing For Business For Teams For Families For Individuals For MSPs Compare LastPass Security Features All Features Solutions SaaS Protect New Password sharing Secure Access Authentication Integrations For enterprises For small businesses For marketing teams For legal teams For HR teams For Financial Services For Professional Services For Education Institutions All Solutions Resources Resource Center Case studies Events Webinars On-demand Demos Trust Center Compliance Center LastPass University Password Generator Username Generator LastPass Authenticator Cybersecurity posts All blog posts Support Support Center Reddit community Community forum Service status My account Security vulnerability disclosure Vault login Admin login Contact support Get LastPass Start free trial Google Play download App Store download Browser Extensions Company About Us Careers We're hiring Leadership Newsroom Legal Center Compliance Contact Us Partners Partner program overview MSP Resellers Find a Partner Partner login Affiliate partners Contact Sales See in action how LastPass can protect your business. 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https://www.fine.dev/blog/managing-technical-debt-in-startups#educate-and-empower-your-team | Managing Technical Debt: A Startup's Guide to Keeping Code Clean on a Tight Timeline Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Managing Technical Debt: A Startup's Guide to Keeping Code Clean on a Tight Timeline Technical debt is like the dust that collects under a couch: easy to ignore until it starts piling up, causing problems, and becoming a hassle to deal with. For early-stage startups, balancing the demands of delivering new features while managing technical debt is a constant tightrope walk. Often, the pressure to ship code quickly means compromises that can snowball into larger problems down the line. How can you keep your codebase clean without sacrificing speed? Let’s dive into some practical strategies. Table of Contents Define and Prioritize Debt Use AI Coding Agents to Help Minimize Technical Debt Leverage Automation to Identify Problems Early Refactor Regularly Educate and Empower Your Team Communicate with Stakeholders About the Trade-offs Measure and Celebrate Progress Conclusion 1. Define and Prioritize Debt Not all technical debt is created equal. Some debts are strategic – short-term trade-offs made to get a product out the door, with a plan for repayment later. Others are accidental, like poorly-written code resulting from unclear requirements. The first step to managing technical debt effectively is to categorize it. Once categorized, prioritize technical debt alongside other tasks. It’s often helpful to assign metrics to debt (e.g., code complexity or potential impact) to weigh it against feature development. By making technical debt part of the conversation at sprint planning, your team is less likely to accumulate crippling issues that endanger long-term scalability. *2. Use AI Coding Agents to Help Minimize Technical Debt** AI coding agents can be powerful allies in managing and reducing technical debt. These tools can help by automating code reviews, identifying areas in the codebase that need refactoring, and suggesting optimizations. For example, AI agents can analyze code complexity and highlight potential improvements that would otherwise go unnoticed. Using AI-powered platforms like Fine can help identify problematic patterns in real-time, recommend best practices, and even generate refactored code, freeing up developers to focus on higher-level tasks. By leveraging AI, teams can proactively manage technical debt rather than reacting to it after it accumulates. AI coding agents also assist in maintaining consistency in code quality, ensuring that new contributions adhere to established standards, which reduces the risk of technical debt building up over time. 3. Leverage Automation to Identify Problems Early Automated code reviews, linters, and static analysis tools are your allies in keeping technical debt in check. They help you catch issues like code duplication or unhandled edge cases that contribute to debt. Integrate these tools into your CI/CD pipeline to ensure that developers get real-time feedback. This helps reduce future debt while allowing you to focus on what matters: delivering value. Another angle is unit testing. It’s a foundational piece that helps ensure you’re not accruing debt each time a new feature is added. Automation doesn’t eliminate technical debt, but it does mean you’re dealing with it in smaller, manageable chunks rather than facing a mountain later on. 4. Refactor regularly Refactoring doesn’t have to be a major project done once a quarter. Instead, make it part of your development culture. Encourage your team to refactor a small portion of the codebase as they touch it for new features or bug fixes. The key here is consistency. Regularly reviewing and improving code ensures that you aren’t carrying forward suboptimal solutions. Incorporate time for refactoring into sprint cycles, even if it’s just a few hours per sprint. Over time, this can significantly reduce the amount of accumulated debt. The key for success when refactoring code regularly is having tests implemented across the codebase and a strong CI/CD sequence. You want to make sure that if something goes wrong, it's caught straight away and fixed. Using an AI tool such as [Fine]( https://ai.fine.dev ) enables you to quickly write tests for new and existing code. 4. Educate and Empower Your Team Building awareness around technical debt can transform how your team approaches code. Foster a culture where developers understand the consequences of debt and are encouraged to raise their hand when they see it piling up. This culture shift begins with education—hold workshops or discussions on the nature of technical debt, and share stories of teams who were derailed by an unmanaged backlog of issues. Empowerment also means providing your team with the right tools and authority to make decisions around debt repayment. Give your developers the autonomy to create tickets for issues they encounter, and back them up when they make the call that something needs fixing. 5. Communicate with Stakeholders About the Trade-offs Stakeholders often perceive technical debt as something intangible and secondary to new features. Bridging this understanding gap is crucial for garnering the support you need to manage debt effectively. The challenge is to translate technical debt into terms that resonate with the business: slower development velocity, increased bugs, and ultimately a diminished user experience. Practical examples of communicating technical debt to stakeholders include: Lost Revenue Due to Delays : Illustrate how technical debt can slow down the development of key features, which may cause missed market opportunities or delays in revenue-generating product launches. For example, "Because of the growing technical debt, adding the payment gateway feature will take an additional four weeks, delaying our ability to capture new customers." Increased Maintenance Costs : Show how technical debt leads to higher maintenance costs by requiring more resources to fix bugs or maintain the codebase. For instance, "Currently, our team is spending 30% more time fixing issues due to poorly structured code, reducing the time available for new feature development." Impact on User Satisfaction : Connect technical debt to user experience metrics. You could say, "Our app crashes are increasing due to unresolved technical debt, leading to a higher churn rate. Addressing these debts will improve stability and user satisfaction, reducing customer loss." Make the costs of inaction visible by tying technical debt to key metrics like team productivity or user satisfaction. Once stakeholders understand that managing technical debt prevents slowdowns and feature delays, they’ll be more willing to prioritize it. 6. Measure and Celebrate Progress Finally, tracking technical debt is important. You can measure the health of your codebase by tracking code quality metrics over time (e.g., maintainability index, complexity, or cyclomatic scores). Show these metrics to your team and celebrate when they improve—acknowledge that every step in reducing debt makes it easier for everyone to work. Reducing technical debt isn’t just about minimizing headaches for developers; it’s about creating a sustainable environment where the team can innovate, move fast, and avoid burnout. Celebrating even small wins reinforces the value of these efforts and keeps the team motivated to keep things clean. Conclusion Technical debt doesn’t have to be the monster under the bed. For startups, where speed is critical, managing technical debt effectively can be a game-changer for long-term growth. By integrating debt management into your regular processes, automating early detection, refactoring continuously, and communicating clearly with stakeholders, you can keep it at a manageable level. The goal isn’t to eliminate technical debt completely—it’s to ensure that it’s always understood, visible, and controllable. Balancing code cleanliness and tight timelines is especially challenging for startups that need to move fast and adapt. However, with the right mindset and tools, CTOs can steer their teams away from costly pitfalls and toward long-term success, all while maintaining a flexible and scalable codebase. 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https://dev.to/leon0824 | Leon - 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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https://www.fine.dev/blog/replit-vs-cursor#differences | Replit vs Cursor vs Fine: Which AI Coding Tool Is Best for You? Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back Replit vs Cursor vs Fine: Which AI Coding Tool Is Best for You? AI-powered coding tools are gaining traction in the development world, making it easier for developers to write, debug, and manage code. Three of the leading platforms in this space are Fine, Replit, and Cursor, all offering AI-assisted coding features. However, with these advancements come key differences that make each platform more suitable for different types of developers. In this blog, we’ll break down Replit, Cursor, and Fine, examine their similarities and differences, and explain why Fine is the most advanced and comprehensive solution. Table of Contents Introduction to Replit Introduction to Cursor Introduction to Fine Similarities Between Replit, Cursor, and Fine Differences Between Replit, Cursor, and Fine Fine's Unique Features Why Choose Cursor Over Replit Why Choose Replit Over Cursor Why Fine is a Better Choice Before we dive in - take a moment to watch how we used Fine's AI Agent to make changes in our codebase - live, unedited. Introduction to Replit Replit is a browser-based integrated development environment (IDE) which recently released AI-powered features, offering autocomplete, debugging, and documentation generation. Designed to make coding accessible to beginners and professionals alike, Replit provides real-time collaboration capabilities, making it a go-to for team projects or educational purposes. It allows developers to quickly write code, generate tests, and set up APIs without complex configurations. With its broad support for multiple programming languages, Replit is a flexible choice for diverse coding tasks. Introduction to Cursor Cursor is an AI-powered code editor that was built as a fork of the popular IDE, VSCode. It offers advanced code completion, intelligent code refactoring, and natural language editing. Cursor also emphasizes security, with SOC 2 certification, making it suitable for teams that need stringent data privacy. While Cursor can be used as a standalone editor, it is especially valuable for developers already working in an environment like VSCode, allowing them to integrate AI assistance without disrupting their workflow. Similarities Between Replit, Cursor, and Fine Replit, Cursor, and Fine all focus on helping developers streamline their workflow through AI. Here are some key similarities: AI-Assisted Code Generation : All three platforms use AI to generate code based on natural language prompts, significantly reducing the time developers spend writing basic code snippets. Fine goes a step further by taking an issue from Linear, GitHub, or Jira and turning it into a PR. Autocomplete and Debugging : Replit, Cursor, and Fine all offer intelligent code completion and error detection, speeding up the development process and helping developers catch mistakes early. Fine also runs and tests the code it generates, fixing errors automatically. Collaboration Features : While Replit offers real-time collaboration directly in the browser, Cursor is a fork of VSCode. Differences Between Replit, Cursor, and Fine Platform Integration : Replit is a full-fledged online IDE, which means users can start coding directly in the browser without setting up a local environment. Cursor, on the other hand, is more suitable for those who already have a preferred development setup in VSCode and want to remain in that familiar environment. Fine, however, works seamlessly across platforms and integrates directly with tools like GitHub, Linear, and Slack, allowing developers to work wherever they are most comfortable. Collaboration and Ease of Use : Replit’s in-browser environment offers built-in real-time collaboration features, which makes it more accessible for teams or classrooms. Cursor, while collaborative, requires additional configuration for extensions and may be better suited for developers familiar with advanced setups. Fine is designed for teams; you can start a task, another colleague can complete it; you can share previews and console logs; and more. Fine's Unique Features Fine stands out with its unique features designed to enhance the developer experience: AI Agents Fix Their Own Code : Fine runs the code after generating it, identifies errors in the console logs, and offers to fix them automatically. Unlimited Premium LLM Usage : Fine provides unlimited access to leading LLMs like OpenAI's o1 and Claude 3.5 Sonnet, without requiring users to manage their own API keys. Multi-Tasking Capabilities : Fine allows developers to delegate multiple tasks simultaneously, working in the cloud so you can review results at your convenience. Workflow Automation : Fine automates repetitive tasks, saving developers time and effort. One of the most frustrating parts of coding with AI is reviewing the code generated by the LLM, which in some tools is littered with bugs and hallucinations. Fine outperforms Replit, Cursor and other tools with its unique features for the best developer experience: Fine runs the code after generating it and identifies errors in the console logs, offering to fix them itself. Fine commits regularly and allows easy rollbacks to any stage of the conversation Fine creates a new branch for each task, keeping your code safe - and it writes great commit messages Fine offers a clear Line Change Summary and highlights diffs with each commit, so you can keep track of all AI changes Why Choose Cursor Over Replit Security : For developers or teams that require stringent security measures, Cursor’s SOC 1 certification makes it the more reliable choice. Replit holds SOC 2 certification for enterprise customers across most of their platform, but it's not clear if that includes the new AI suite. Integration with Existing Tools : If you are already using VSCode or another local development environment, Cursor’s seamless integration allows you to bring AI assistance to your current workflow without changing your setup, much. Fine doesn't require switching your IDE at all - collaborate with Fine wherever you usually collaborate with teammates. Code Refactoring : Cursor excels in assisting with code refactoring and improving legacy codebases, offering smart suggestions that help maintain code quality over time. Why Choose Replit Over Cursor Fully Integrated IDE : For developers who want an all-in-one solution without the need to install additional software or manage extensions, Replit’s browser-based environment is an excellent choice. It allows you to start coding from anywhere, without the hassle of setup. Beginner-Friendly : Replit’s intuitive interface and extensive documentation make it a great option for beginners or educators. Its easy-to-use collaboration tools also make it ideal for group projects or learning environments. Real-Time Collaboration : Replit shines in team settings, offering a streamlined, real-time collaboration feature that works seamlessly across browsers. This is especially useful for projects where multiple developers need to work together in real-time. Connecting Replit and Cursor According to Twitter users, it's now easy to integrate Replit and Cursor and take advantage of how easy it is to deploy using Replit. The installation is a bit complex but explained here in detail. . You'll need to Generate an SSH Key for Replit in Cursor and add the Public Key to Replit. Then, you copy the Shell ocmmand and past it as a new SSH host in Cursor. Why Fine is a Better Choice While both Replit and Cursor offer compelling features, Fine takes AI-assisted coding a step further by providing advanced automation and a more comprehensive set of tools tailored for development teams. Here’s why Fine is a better alternative: Unlimited Premium LLM Use Fine doesn't limit how much paid subscribers can access OpenAI's o1 or Claude 3.5 Sonnet, the leading LLMs for software development. Many other platforms require the user to provide their own API keys for OpenAI and / or Anthropic and therefore pay by usage on top of the monthly subscription. Perform multiple tasks at the same time Fine works in the cloud, so you can delegate tasks and come back to them later - you don't even need to leave the browser tab open! If you're looking to delegate a number of tasks from your backlog, and come back to review them when you're ready, Fine is the obvious choice. Superior Workflow Automation : Fine’s AI not only assists with code generation and debugging but also automates entire workflows, reducing the time developers spend on repetitive tasks. Pull Request (PR) Summarization : Fine can summarize pull requests and help developers focus on high-level decisions by reviewing code that has already been tested and validated, a feature not available in either Replit or Cursor. Customizable for Teams : Fine is designed to scale with teams, offering powerful tools for collaborative development that integrate seamlessly with existing processes. Its AI can assist in reviewing and improving code, enabling teams to work faster and more efficiently. Full Context Awareness : Fine integrates with GitHub, Linear, Sentry and more, enabling the user to activate the AI wherever they're working and use information on external platforms as context. In conclusion, Replit, Cursor, and Fine each offer solid AI-powered coding solutions with unique strengths. However, Fine stands out as the most advanced and comprehensive option, offering unparalleled features like unlimited LLM usage, multi-tasking capabilities, and superior workflow automation. Whether you are a solo developer or managing a large development team, Fine's AI tools make it the ultimate choice for optimizing your development process. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:36 |
https://www.fine.dev/blog/ai-developer-agents#tailored-solutions | AI Developer Agents: Revolutionizing Software Development for Startups with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI Developer Agents: Revolutionizing Software Development for Startups with Fine You've probably not only heard of, but tried out or subscribed to an AI coding tool in the last year or two. If you're like most developers, it's an autocomplete tool such as GitHub Copilot. Kind of like pair programming, you write a word, the AI completes the line. You may have also heard terms like AI developer agent or Software 3.0 bandied about. In some cases, you've probably heard people discussing the end of coding as we know it and thought - this is the usual scaremongering, these tools aren't that good. Let's dive together into what these AI developer agents are - what makes it an agent, rather than the assistants you've already tried out? How are they affecting software development? How can you use them at work - in your startup, or for your clients? There's a lot of noise out there on the social networks. Indie hackers and non-coders have been building lots of software using new tools. But for the startup ecosystem, AI developer agents hold potential that hasn't fully been explored. Table of Contents Introduction The Rise of AI in Software Development What is an AI Developer Agent? Understanding AI Developer Agents Key Features of a Good AI Developer Agent How to Effectively Use an AI Developer Agent Benefits to Startups and Developers Introducing Fine: The Next-Generation AI Developer Agent Fine's Benefits for Startups and Developers Real-World Use Cases of Fine Getting Started with Fine The Rise of AI in Software Development The integration of AI into software development has streamlined workflows, reduced errors, and accelerated production timelines. AI tools assist developers by providing intelligent code suggestions, detecting bugs early, and automating repetitive tasks. This shift not only boosts productivity but also allows developers to focus on innovative solutions rather than mundane coding chores. Introduction to Software 3.0 Software 3.0 represents a paradigm shift where AI doesn't just assist but actively participates in the development process. In this model, AI agents can understand specifications, write code, and even make autonomous decisions to optimize performance. This progression signifies a move towards more intelligent, adaptive, and efficient software development practices. If previously, developers spent the largest portion of their time writing code, followed by reviewing code, followed by writing specs, that pyramid is being flipped on its head. We software engineers aren't known for being the best communicators, but our natural language communication skills are becoming more important than how fast you type. Now, startup dev teams are focusing most of their time on planning and writing specs, giving it to AI developer agents, reviewing the code and finishing the last 10% of revisions. What is an AI Developer Agent? An AI Developer Agent is an advanced tool that utilizes machine learning and natural language processing to assist and automate software development tasks. Unlike traditional development tools that require manual input for each function, AI Developer Agents can interpret high-level instructions and execute complex coding tasks independently. Identity, Tools and Guidelines. Each agent has a unique identity and a set of skills that it brings to the task. This identity provides perspective to the AI when performing its functions, leading to more effective and focused results. To perform their tasks, agents are equipped with a set of tools. These could range from the ability to browse a repository or third-party documentation to the ability to write code. Many tasks in software development follow a pattern - a set of steps that need to be executed in order to accomplish the task. When you run an Agent in Fine, it will execute a plan. This plan will be generated on-the-fly based on the Agent's guidelines, allowing for flexibility and adaptability to the specific needs of the task. For example, an agent may implement a feature in React using a plan which might involve creating a component, updating the routing, managing state,etc., adapting as needed. Their Role in Modern Development Workflows In contemporary development environments, AI Developer Agents act as virtual team members. They can convert issues into pull requests, write and modify multiple files based on developer specifications, and integrate seamlessly with existing workflows. This capability transforms the development process, making it more efficient and collaborative. When each developer can manage 3-4 agents for the price of a daily coffee, delegating work instead of having to do it manually, startups can grow significantly faster. The Growing Importance of AI Developer Agents The adoption of AI tools by developers and startups is accelerating. Companies seek to leverage AI Developer Agents to reduce time-to-market, enhance code quality, and stay competitive. Measuring the success of AI developer agents is really the same as any development team - using DORA metrics, for example. As these agents become more sophisticated, their role expands from mere assistants to integral components of the development team. 1. Understanding AI Developer Agents Definition and Core Concepts AI Developer Agents are intelligent systems designed to perform coding tasks autonomously. They utilize algorithms that learn from vast codebases, enabling them to generate code, fix bugs, and optimize performance without direct human intervention. How They Differ from Traditional Development Tools Traditional tools require developers to manually input commands and code. In contrast, AI Developer Agents can interpret natural language instructions, understand the context of the project, and make decisions to execute tasks efficiently. This autonomy sets them apart, offering capabilities beyond standard development tools. The Evolution of AI in Development The journey of AI in coding began with simple code editors and auto-completion features. Over time, these evolved into intelligent agents capable of understanding complex instructions and performing end-to-end development tasks. From Basic Code Editors to Intelligent Agents Early code editors provided syntax highlighting and basic error detection. The introduction of AI brought advanced features like predictive code suggestions and automated debugging. Today, AI Developer Agents can manage entire development cycles, marking a significant leap from their predecessors. 2. Key Features of a Good AI Developer Agent Intelligent Code Assistance Modern AI Developer Agents offer more than just auto-completion. They can perform entire development tasks by transforming issues into pull requests autonomously, write and modify multiple files to handle complex changes across a codebase based on specifications, and provide proactive error detection and correction to identify and fix bugs. Independence of the Development Environment Unlike tools that require integration with an Integrated Development Environment (IDE), the best AI Developer Agents operate independently. They run on cloud-based platforms, which means they have their own development environments that are accessible from anywhere. Additionally, they offer autonomous task execution, allowing them to perform tasks without the need for constant developer intervention. Seamless Integrations Effective AI Developer Agents integrate with essential tools that are vital for a smooth development workflow. They connect with version control systems like Git to track changes, and integrate with issue management platforms such as Jira or Trello for task management. Additionally, they work seamlessly with communication tools like Slack or Microsoft Teams to facilitate team collaboration. For continuous integration and deployment, they integrate with CI/CD pipelines such as Jenkins or GitHub Actions . Finally, they connect with bug detection tools like Sentry or Bugsnag for effective error monitoring. Full Context Awareness For accurate task execution, AI Developer Agents must have full context awareness. This means they need to access entire codebases to understand the project's context comprehensively. They must also be able to perform comprehensive searches to find and reference relevant code segments. By having complete information, they can reduce errors and avoid hallucinations, thereby ensuring high-quality output. Security and safety are a serious concern when giving anyone access to your entire codebase, including AI developer agents. Fine's approach of integrating with your GitHub ensures you code is safe in your trusty VCS, whilst the Agent can read and suggest edits which you'll approve. Learning and Adaptability AI Developer Agents exhibit learning and adaptability by continuously improving based on new code and developer interactions. They also adapt to the team's specific coding styles, ensuring that their output matches the established conventions and practices of the development team. Collaboration Tools AI Developer Agents come equipped with collaboration tools that provide shared insights, making recommendations visible to the entire team. They also facilitate team coordination by enhancing communication and making task delegation more efficient among team members. Security and Privacy AI Developer Agents prioritize security and privacy by implementing data protection measures to ensure that code and proprietary information remain secure. They also adhere to industry standards and regulations for data handling, ensuring compliance with all necessary protocols. This is an area that is still evolving as the laws and regulations are updated to reflect the growing capabilities of LLMs. 3. How to Effectively Use an AI Developer Agent Getting Started To get started with an AI Developer Agent, you first need to set up integrations by connecting the agent with your code repositories, issue trackers, and other tools. Once integrated, you should customize the agent's settings to align with your project requirements and team workflows, ensuring it operates smoothly within your development environment. Best Practices When using an AI Developer Agent, it's best to delegate entire tasks such as full features or bug fixes, allowing the agent to manage them autonomously. However, if the task is particularly large, breaking down large projects into smaller tasks that are manageable by the AI can help streamline development and maintain productivity. You can also create automations for repetitive tasks, letting the agent handle mundane coding activities and freeing up time for more complex work. Pitfalls to Avoid While AI Developer Agents can be highly efficient, it's crucial not to over-rely on them. Developers should still review and understand the code produced to maintain quality and ensure proper functionality. Neglecting code reviews can lead to issues down the line, so always perform thorough reviews to uphold high coding standards. Optimizing Workflows To optimize your workflows, customize the AI Developer Agent to fit specific project needs and team preferences. Providing continuous feedback to the agent will also help improve its performance over time, ensuring it adapts to your unique requirements and becomes a more effective tool for your development team. 4. Benefits to Startups and Developers Accelerated Development Cycles AI Developer Agents significantly accelerate development cycles by enabling faster coding through automated code generation. They also allow for quick prototyping, making it easier to rapidly create prototypes to test ideas and features. Enhanced Code Quality With intelligent error detection and correction, AI Developer Agents help minimize bugs , leading to enhanced code quality. They also ensure consistent standards are maintained across the project, resulting in a more uniform and reliable codebase. Cost Efficiency AI Developer Agents contribute to cost efficiency by reducing development costs through increased productivity without the need for additional manpower. They also help optimize the use of existing resources, ensuring that teams can achieve more with what they already have. Focus on Innovation By automating routine tasks, AI Developer Agents free up developers to focus on creative problem-solving and innovation. This shift allows teams to allocate more time to strategic planning and developing unique features that add value to the project. Scalability AI Developer Agents support scalability by enabling development efforts to grow without requiring proportional increases in team size. They offer flexible scaling, allowing resources to be adjusted based on project demands, making it easier to manage both small and large projects efficiently. 5. Introducing Fine: The Next-Generation AI Developer Agent About Fine Fine is a cutting-edge AI Developer Agent designed to revolutionize software development. Its mission is to empower developers and startups by automating tasks, enhancing collaboration, and accelerating project timelines. What Sets Fine Apart Fine sets itself apart by equipping agents with their own virtual development environment that operates independently in the cloud, making it accessible from anywhere without relying on local systems. It also provides deep integrations, seamlessly connecting with a wide array of development tools, ensuring a smooth and efficient workflow. Moreover, Fine has full context understanding, which allows it to access and comprehend entire codebases, ensuring accurate task execution and reducing the risk of errors. Fine's Advanced Features Fine offers a user-friendly interface with an intuitive design that makes it easy for developers to assign tasks and monitor progress effectively. It utilizes cutting-edge AI algorithms, leveraging advanced machine learning to deliver superior performance. Additionally, Fine provides customization and flexibility, allowing it to adapt to the unique requirements and workflows of each project, ensuring a tailored development experience. 6. Fine's Benefits for Startups and Developers Tailored Solutions Fine provides tailored solutions by employing adaptive learning, allowing it to learn from your codebase and adapt to your specific coding style. It also offers project-specific configurations, enabling developers to customize settings to fit the unique needs of their projects, ensuring that Fine aligns perfectly with their development goals. Improved Collaboration Fine enhances team collaboration through integrated coordination tools that improve communication among team members. It also offers shared workspaces, allowing developers to view and interact with the AI's output, making collaboration more seamless and efficient across the entire team. Real-Time Insights Fine provides real-time insights by delivering immediate feedback, offering instant suggestions and code improvements to enhance development efficiency. It also includes performance analytics, giving developers access to data on efficiency gains and productivity, enabling them to make informed decisions and continuously optimize their workflows. 7. Real-World Use Cases of Fine Industry Applications E-commerce : Streamlining the development of online platforms to provide seamless user experiences and improve transaction processes. AI Developer Agents can help automate the creation of product pages, payment gateways, and customer service chatbots, allowing for efficient scalability. Healthcare Tech : Accelerating the creation of secure medical software that adheres to stringent compliance standards. AI Developer Agents can assist in developing electronic health records (EHR) systems, telehealth platforms, and patient management applications, ensuring both data security and usability. Financial Services : Enhancing the development of compliant financial applications, including payment processing systems, fraud detection, and secure customer portals. AI Developer Agents streamline the coding of regulatory requirements, enabling rapid adaptation to changing financial regulations. Retail : Transforming retail operations by facilitating the development of inventory management systems, point-of-sale (POS) software, and customer loyalty programs. AI Developer Agents can also help in the creation of personalized marketing tools to boost customer engagement and sales. Education Technology (EdTech) : Supporting the development of interactive learning platforms, virtual classrooms, and student management systems. AI Developer Agents assist in coding features like video integration, assessment modules, and personalized learning pathways, enhancing the overall educational experience. Manufacturing : Enabling the development of production management software, predictive maintenance tools, and supply chain management systems. AI Developer Agents help automate data collection and analytics, allowing manufacturers to optimize operations and reduce downtime. Logistics and Supply Chain : Streamlining the development of logistics software, including route optimization tools, shipment tracking systems, and warehouse management solutions. AI Developer Agents help logistics companies optimize their operations and improve the efficiency of supply chain processes. Telecommunications : Assisting in the development of network management tools, customer service applications, and billing systems. AI Developer Agents enable faster deployment of features and ensure that telecommunications platforms remain robust and scalable. Real Estate : Simplifying the creation of property management software, virtual tour integrations, and client communication tools. AI Developer Agents can help automate data handling, property listing updates, and customer inquiries, making real estate management more efficient. Using AI to build AI At Fine, we use our own AI Developer Agents to enhance and build Fine itself. This practice creates a positive feedback loop where our AI continuously improves the platform. By leveraging Fine's AI capabilities, we automate the development of new features, perform code maintenance, and run extensive testing cycles. Fine's agents assist in creating new functionalities, optimizing existing ones, and even identifying areas for further improvement. This approach allows us to accelerate our development cycles, maintain high-quality standards, and ensure that Fine remains at the cutting edge of AI-driven software development. Using AI to build AI is not just a slogan—it’s our daily reality, pushing the boundaries of what our platform can achieve. - Getting Started with Fine 8. Getting Started with Fine Easy Onboarding Process Sign Up : Create an account on Fine's website . Integrate Tools : Connect your repositories and development tools. Fine currently supports GitHub, Linear and Slack, with more on the way. Start Assigning Tasks : Begin leveraging Fine's capabilities immediately. Support and Resources Tutorials and Documentation : Access a wealth of resources to maximize Fine's potential. Customer Support : Reach out to our support team for any assistance. Conclusion AI Developer Agents are reshaping the landscape of software development, bringing unprecedented efficiency and innovation. Fine stands at the forefront of this transformation, offering a next-generation solution that empowers developers and startups to achieve more. Embrace the future of software development with Fine. Join the revolution and elevate your development process to new heights. Transform your software development experience. Try Fine today and be a part of the AI-driven future. Full Table of Contents Introduction The Rise of AI in Software Development Introduction to Software 3.0 What is an AI Developer Agent? Their Role in Modern Development Workflows The Growing Importance of AI Developer Agents Understanding AI Developer Agents Definition and Core Concepts How They Differ from Traditional Development Tools The Evolution of AI in Development From Basic Code Editors to Intelligent Agents Key Features of a Good AI Developer Agent Intelligent Code Assistance Independence of the Development Environment Seamless Integrations Full Context Awareness Learning and Adaptability Collaboration Tools Security and Privacy How to Effectively Use an AI Developer Agent Getting Started Best Practices Common Pitfalls to Avoid Optimizing Workflows Benefits to Startups and Developers Accelerated Development Cycles Enhanced Code Quality Cost Efficiency Focus on Innovation Scalability Introducing Fine: The Next-Generation AI Developer Agent About Fine What Sets Fine Apart Fine's Advanced Features Fine's Benefits for Startups and Developers Tailored Solutions Improved Collaboration Real-Time Insights Real-World Use Cases of Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:36 |
https://www.hirevue.com | Hirevue | AI-Powered Skill Validation, Video Interviewing, Assessments and More Candidates: Are you interviewing and need support? Request Demo Log In Search on mobile: search mobile button 62E411CF-99DE-47BC-8D20-9BD1C8C60488 Solutions Our Tech Skill Validation Virtual Job Tryout Game-Based Assessments Technical Assessments Language Proficiency Tests Intelligent Interviewing Video Interviewing Interview Insights Talent Engagement Tools Find My Fit Match and Apply Workflow Automation End-to end Hiring Platform Solutions that reimagine what's possible in hiring. Ready To see Hirevue in action? Take a Self-Guided Product Tour Now. By Use Case Campus Professional Hourly Technical Internal Mobility Learn More Skills by Guide Role Go beyond the resume and learn which skills you need to look for to hire top talent. 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Interview Tips Candidate FAQs Candidate Help Center Candidate Tips for Video Interviews Unlocking success: The START Method & video interview tips AI in Hiring Customer Stories Blog Resource Library Events Hire Thinking Series What is a Hirevue? Interview Tips Candidate FAQs Candidate Help Center 2025 Customer Excellence Awards Congratulations to the 2025 Customer Excellence Award Winners! Candidate Tips for Video Interviews Unlocking success: The START Method & video interview tips Our Company About Us Careers Press & News Contact Us Leadership Hirevue + financial services How data-driven hiring fuels growth and profitability SEARCH: GO Log In Request Demo The right data to make the right hire . Hirevue’s AI-powered platform pinpoints and validates the skills that drive job success. Take a tour Book a demo Trusted by the best . 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Learn more ✕ VI your way Use Hirevue’s video interviewing or seamlessly integrate your own—our flexible platform adapts to your hiring needs. Whether you stick with your existing tools or leverage ours, we make the process effortless, efficient and tailored to you. Learn more ✕ Scheduling handled We sync to your calendar to handle scheduling—so you can focus on hiring, not juggling invites! Eliminate the back-and-forth of coordinating interviews and juggling invites, and spend more time building relationships with top talent. Learn more ✕ Automated workflows Ditch the manual work—Hirevue’s automated workflows keep hiring moving while you focus on what matters. Spend less time on repetitive tasks and more time finding the right talent. Learn more ✕ ATS Integration Seamless ATS integration, zero headaches. Hirevue works with your existing hiring system to keep your workflow smooth. No disruptions, just smarter hiring. FedRAMP The only FedRAMP-authorized hiring solution for the public sector—ensuring the highest security and compliance standards. Streamline your hiring process, attract top talent, and make faster, more confident hiring decisions—all with the security you trust. Backed by science Goodbye gut feeling, hello data-driven decisions. Hirevue’s science-backed evaluations help you more accurately predict job performance, so you can hire with confidence and build stronger teams. Trusted security Your hiring data is safe with us—secure, compliant, and protected at every step. With industry-leading security measures and strict compliance standards, we ensure your information stays confidential and in the right hands. Global reach With 40+ languages offered, we expand your global reach, making it easier than ever to connect with top talent anywhere in the world. Our seamless multilingual experience ensures a smooth hiring process for candidates and recruiters alike—no barriers, just better hiring. VI your way Use Hirevue’s video interviewing or seamlessly integrate your own—our flexible platform adapts to your hiring needs. Whether you stick with your existing tools or leverage ours, we make the process effortless, efficient and tailored to you. Scheduling handled We sync to your calendar to handle scheduling—so you can focus on hiring, not juggling invites! Eliminate the back-and-forth of coordinating interviews and juggling invites, and spend more time building relationships with top talent. Automated workflows Ditch the manual work—Hirevue’s automated workflows keep hiring moving while you focus on what matters. Spend less time on repetitive tasks and more time finding the right talent. See it in action . Discover how we empower teams to build thriving workforces for today and the future. Take a tour Experience it live. Reinvent hiring. Faster, fairer, and effortlessly intelligent. Request a demo Request a demo See what’s new in our latest resources : Blog Breaking down “the plus” in Skills+ and going beyond buzzwords Read Blog Blog Video is the medium. Science is the advantage: Why Hirevue’s Teams integration matters Read Blog Blog How financial services hiring teams can elevate candidate and brand experience Read Blog Webinar Hirevue Science Series: The Plus in Skills+ Watch Webinar HIREVUE Platform Get a Demo Assessment Software Video Interviewing RESOURCES Hirevue Blog Resource Library WHY HIREVUE Services Security Our Science Integration Partners Customer Awards COMPANY Legal Center About Us Careers Press & News Contact Us Terms of Use Privacy AI Ethical Principles AI Explainability Statement © 2026 Hirevue, Inc. All rights reserved. | 2026-01-13T08:49:36 |
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Report Abuse Brian Douglas for GitHub Posted on Feb 19, 2021 • Edited on Mar 1, 2021 Conditional Workflows and Failures in GitHub Actions # github # githubactions # devops ["28-github-actions"] (25 Part Series) 1 Automating my Storybook deployment with GitHub Actions 2 GitHub Actions: Manual triggers with workflow_dispatch ... 21 more parts... 3 How to Run GitHub Actions on Forks 4 Running GitHub Actions CI/CD triggers on specific branches 5 Generate semantic-release notes with GitHub Actions 6 Compress Images for the Web with GitHub Actions 7 Keeping GitHub Action workflows secure 8 Skip pull request and push GitHub Action workflows with [skip ci] 9 Running complex matrix builds using variable substitution in GitHub Actions 10 The Secrets of An Authenticated GitHub Action Workflow 11 Debug your GitHub Actions via SSH by using tmate 12 Run your GitHub Actions like a makefile 13 Automate your PR reviews with GitHub Action scripting in JavaScript 14 Generate your own GitHub Action with the actions-toolkit CLI 15 Build your own GitHub Action with a Docker Container 16 Publish your GitHub Action to Marketplace 17 Build your own GitHub Action WITHOUT a Docker Container 18 Conditional Workflows and Failures in GitHub Actions 19 Sending PR notifications through SMS and GitHub Actions 20 Bring your own (self-hosted) environment for GitHub Action Workflows 21 Environment Scoped Secrets for GitHub Action Workflows 22 Caching dependencies to speed up workflows in GitHub Actions 23 Repository Automation with GitHub Actions 24 Sync Forks to Upstream Using GitHub Actions 25 Setup Continuous Delivery with GitHub Actions Coming up on March 1st, GitHub, changing the way GitHub Actions work with Dependabot PRs. This change will treat all these Dependabot PRs as forks to your repo, so they will not have access to things like the GITHUB_TOKEN token. So if you're using Dependabot in any of your projects, consider changing over to pull_request_target after reading up on the recent GitHub Actions Security vulnerabilities research . I have an example workflow that dumps the context of the runner in my Action logs. This is helpful if you don't want to use tmate or similar to debug. It's an excellent little debugging tool. name : dump on : pull_request : jobs : dump : runs-on : ubuntu-latest steps : - name : Dump context uses : crazy-max/ghaction-dump-context@v1 Enter fullscreen mode Exit fullscreen mode Per the changelog, I can update it to use pull_request_target so it has access to the GITHUB_TOKEN with write access. But I also only want dependabot PRs leveraging this workflow. To do this, I can add a conditional expression to my workflow that checks that the github.actor is only 'dependabot[bot]' . name : dump on : pull_request : jobs : dump : runs-on : ubuntu-latest steps : - name : Dump context if : github.actor == 'dependabot[bot]' // added condiontal uses : crazy-max/ghaction-dump-context@v1 Enter fullscreen mode Exit fullscreen mode Now the conditional will skip the workflow step if the actor is not 'dependabot[bot]' . But what if I want to fail the workflow from human contributors? I can inverse the conditional, but I can also add a failure, but running exit 1 like so. name : dump on : pull_request : jobs : dump : runs-on : ubuntu-latest steps : - name : Dump context if : github.actor == 'dependabot[bot]' run : exit 1 // added failure - name : the dump uses : crazy-max/ghaction-dump-context@v1 Enter fullscreen mode Exit fullscreen mode But keep in mind if you have a conditional, and it's not dependent by any don't want a failure, it'll just skip the job. I hope you found this helpful. Be sure to keep an eye on the GitHub Changelog for future Action updates, as well as other features. This is part of my 28 days of Actions series. To get notified of more GitHub Action tips, follow the GitHub organization right here on Dev. Learn how to build action with Node.js 02:13 Build your own GitHub Action WITHOUT a Docker Container Brian Douglas for GitHub ・ Feb 18 '21 #github #devops #githubactions ["28-github-actions"] (25 Part Series) 1 Automating my Storybook deployment with GitHub Actions 2 GitHub Actions: Manual triggers with workflow_dispatch ... 21 more parts... 3 How to Run GitHub Actions on Forks 4 Running GitHub Actions CI/CD triggers on specific branches 5 Generate semantic-release notes with GitHub Actions 6 Compress Images for the Web with GitHub Actions 7 Keeping GitHub Action workflows secure 8 Skip pull request and push GitHub Action workflows with [skip ci] 9 Running complex matrix builds using variable substitution in GitHub Actions 10 The Secrets of An Authenticated GitHub Action Workflow 11 Debug your GitHub Actions via SSH by using tmate 12 Run your GitHub Actions like a makefile 13 Automate your PR reviews with GitHub Action scripting in JavaScript 14 Generate your own GitHub Action with the actions-toolkit CLI 15 Build your own GitHub Action with a Docker Container 16 Publish your GitHub Action to Marketplace 17 Build your own GitHub Action WITHOUT a Docker Container 18 Conditional Workflows and Failures in GitHub Actions 19 Sending PR notifications through SMS and GitHub Actions 20 Bring your own (self-hosted) environment for GitHub Action Workflows 21 Environment Scoped Secrets for GitHub Action Workflows 22 Caching dependencies to speed up workflows in GitHub Actions 23 Repository Automation with GitHub Actions 24 Sync Forks to Upstream Using GitHub Actions 25 Setup Continuous Delivery with GitHub Actions 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 Nicolas Sebastian Vidal Nicolas Sebastian Vidal Nicolas Sebastian Vidal Follow I'm a passionate person that enjoys not only working as a Software Engineer but technology itself. Email nicolas.s.vidal@gmail.com Location Argentina Work Software Engineer Joined Sep 17, 2018 • Mar 25 '21 Dropdown menu Copy link Hide Nice! I still feel is a bit hacky, but! I really like how you have solved the inconvenience GitHub has created for all of us using dependabot and integrating with third-party services. In my case, it is the upload of coverage being sent to codecov what started to fail. I can live without the codecoverage not being sent to codecov on every new PR that is created by the bot, so that will be it! haha Thank you! Like comment: Like comment: 2 likes Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . 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https://www.fine.dev/blog/ai-developer-agents#4-benefits-to-startups-and-developers | AI Developer Agents: Revolutionizing Software Development for Startups with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI Developer Agents: Revolutionizing Software Development for Startups with Fine You've probably not only heard of, but tried out or subscribed to an AI coding tool in the last year or two. If you're like most developers, it's an autocomplete tool such as GitHub Copilot. Kind of like pair programming, you write a word, the AI completes the line. You may have also heard terms like AI developer agent or Software 3.0 bandied about. In some cases, you've probably heard people discussing the end of coding as we know it and thought - this is the usual scaremongering, these tools aren't that good. Let's dive together into what these AI developer agents are - what makes it an agent, rather than the assistants you've already tried out? How are they affecting software development? How can you use them at work - in your startup, or for your clients? There's a lot of noise out there on the social networks. Indie hackers and non-coders have been building lots of software using new tools. But for the startup ecosystem, AI developer agents hold potential that hasn't fully been explored. Table of Contents Introduction The Rise of AI in Software Development What is an AI Developer Agent? Understanding AI Developer Agents Key Features of a Good AI Developer Agent How to Effectively Use an AI Developer Agent Benefits to Startups and Developers Introducing Fine: The Next-Generation AI Developer Agent Fine's Benefits for Startups and Developers Real-World Use Cases of Fine Getting Started with Fine The Rise of AI in Software Development The integration of AI into software development has streamlined workflows, reduced errors, and accelerated production timelines. AI tools assist developers by providing intelligent code suggestions, detecting bugs early, and automating repetitive tasks. This shift not only boosts productivity but also allows developers to focus on innovative solutions rather than mundane coding chores. Introduction to Software 3.0 Software 3.0 represents a paradigm shift where AI doesn't just assist but actively participates in the development process. In this model, AI agents can understand specifications, write code, and even make autonomous decisions to optimize performance. This progression signifies a move towards more intelligent, adaptive, and efficient software development practices. If previously, developers spent the largest portion of their time writing code, followed by reviewing code, followed by writing specs, that pyramid is being flipped on its head. We software engineers aren't known for being the best communicators, but our natural language communication skills are becoming more important than how fast you type. Now, startup dev teams are focusing most of their time on planning and writing specs, giving it to AI developer agents, reviewing the code and finishing the last 10% of revisions. What is an AI Developer Agent? An AI Developer Agent is an advanced tool that utilizes machine learning and natural language processing to assist and automate software development tasks. Unlike traditional development tools that require manual input for each function, AI Developer Agents can interpret high-level instructions and execute complex coding tasks independently. Identity, Tools and Guidelines. Each agent has a unique identity and a set of skills that it brings to the task. This identity provides perspective to the AI when performing its functions, leading to more effective and focused results. To perform their tasks, agents are equipped with a set of tools. These could range from the ability to browse a repository or third-party documentation to the ability to write code. Many tasks in software development follow a pattern - a set of steps that need to be executed in order to accomplish the task. When you run an Agent in Fine, it will execute a plan. This plan will be generated on-the-fly based on the Agent's guidelines, allowing for flexibility and adaptability to the specific needs of the task. For example, an agent may implement a feature in React using a plan which might involve creating a component, updating the routing, managing state,etc., adapting as needed. Their Role in Modern Development Workflows In contemporary development environments, AI Developer Agents act as virtual team members. They can convert issues into pull requests, write and modify multiple files based on developer specifications, and integrate seamlessly with existing workflows. This capability transforms the development process, making it more efficient and collaborative. When each developer can manage 3-4 agents for the price of a daily coffee, delegating work instead of having to do it manually, startups can grow significantly faster. The Growing Importance of AI Developer Agents The adoption of AI tools by developers and startups is accelerating. Companies seek to leverage AI Developer Agents to reduce time-to-market, enhance code quality, and stay competitive. Measuring the success of AI developer agents is really the same as any development team - using DORA metrics, for example. As these agents become more sophisticated, their role expands from mere assistants to integral components of the development team. 1. Understanding AI Developer Agents Definition and Core Concepts AI Developer Agents are intelligent systems designed to perform coding tasks autonomously. They utilize algorithms that learn from vast codebases, enabling them to generate code, fix bugs, and optimize performance without direct human intervention. How They Differ from Traditional Development Tools Traditional tools require developers to manually input commands and code. In contrast, AI Developer Agents can interpret natural language instructions, understand the context of the project, and make decisions to execute tasks efficiently. This autonomy sets them apart, offering capabilities beyond standard development tools. The Evolution of AI in Development The journey of AI in coding began with simple code editors and auto-completion features. Over time, these evolved into intelligent agents capable of understanding complex instructions and performing end-to-end development tasks. From Basic Code Editors to Intelligent Agents Early code editors provided syntax highlighting and basic error detection. The introduction of AI brought advanced features like predictive code suggestions and automated debugging. Today, AI Developer Agents can manage entire development cycles, marking a significant leap from their predecessors. 2. Key Features of a Good AI Developer Agent Intelligent Code Assistance Modern AI Developer Agents offer more than just auto-completion. They can perform entire development tasks by transforming issues into pull requests autonomously, write and modify multiple files to handle complex changes across a codebase based on specifications, and provide proactive error detection and correction to identify and fix bugs. Independence of the Development Environment Unlike tools that require integration with an Integrated Development Environment (IDE), the best AI Developer Agents operate independently. They run on cloud-based platforms, which means they have their own development environments that are accessible from anywhere. Additionally, they offer autonomous task execution, allowing them to perform tasks without the need for constant developer intervention. Seamless Integrations Effective AI Developer Agents integrate with essential tools that are vital for a smooth development workflow. They connect with version control systems like Git to track changes, and integrate with issue management platforms such as Jira or Trello for task management. Additionally, they work seamlessly with communication tools like Slack or Microsoft Teams to facilitate team collaboration. For continuous integration and deployment, they integrate with CI/CD pipelines such as Jenkins or GitHub Actions . Finally, they connect with bug detection tools like Sentry or Bugsnag for effective error monitoring. Full Context Awareness For accurate task execution, AI Developer Agents must have full context awareness. This means they need to access entire codebases to understand the project's context comprehensively. They must also be able to perform comprehensive searches to find and reference relevant code segments. By having complete information, they can reduce errors and avoid hallucinations, thereby ensuring high-quality output. Security and safety are a serious concern when giving anyone access to your entire codebase, including AI developer agents. Fine's approach of integrating with your GitHub ensures you code is safe in your trusty VCS, whilst the Agent can read and suggest edits which you'll approve. Learning and Adaptability AI Developer Agents exhibit learning and adaptability by continuously improving based on new code and developer interactions. They also adapt to the team's specific coding styles, ensuring that their output matches the established conventions and practices of the development team. Collaboration Tools AI Developer Agents come equipped with collaboration tools that provide shared insights, making recommendations visible to the entire team. They also facilitate team coordination by enhancing communication and making task delegation more efficient among team members. Security and Privacy AI Developer Agents prioritize security and privacy by implementing data protection measures to ensure that code and proprietary information remain secure. They also adhere to industry standards and regulations for data handling, ensuring compliance with all necessary protocols. This is an area that is still evolving as the laws and regulations are updated to reflect the growing capabilities of LLMs. 3. How to Effectively Use an AI Developer Agent Getting Started To get started with an AI Developer Agent, you first need to set up integrations by connecting the agent with your code repositories, issue trackers, and other tools. Once integrated, you should customize the agent's settings to align with your project requirements and team workflows, ensuring it operates smoothly within your development environment. Best Practices When using an AI Developer Agent, it's best to delegate entire tasks such as full features or bug fixes, allowing the agent to manage them autonomously. However, if the task is particularly large, breaking down large projects into smaller tasks that are manageable by the AI can help streamline development and maintain productivity. You can also create automations for repetitive tasks, letting the agent handle mundane coding activities and freeing up time for more complex work. Pitfalls to Avoid While AI Developer Agents can be highly efficient, it's crucial not to over-rely on them. Developers should still review and understand the code produced to maintain quality and ensure proper functionality. Neglecting code reviews can lead to issues down the line, so always perform thorough reviews to uphold high coding standards. Optimizing Workflows To optimize your workflows, customize the AI Developer Agent to fit specific project needs and team preferences. Providing continuous feedback to the agent will also help improve its performance over time, ensuring it adapts to your unique requirements and becomes a more effective tool for your development team. 4. Benefits to Startups and Developers Accelerated Development Cycles AI Developer Agents significantly accelerate development cycles by enabling faster coding through automated code generation. They also allow for quick prototyping, making it easier to rapidly create prototypes to test ideas and features. Enhanced Code Quality With intelligent error detection and correction, AI Developer Agents help minimize bugs , leading to enhanced code quality. They also ensure consistent standards are maintained across the project, resulting in a more uniform and reliable codebase. Cost Efficiency AI Developer Agents contribute to cost efficiency by reducing development costs through increased productivity without the need for additional manpower. They also help optimize the use of existing resources, ensuring that teams can achieve more with what they already have. Focus on Innovation By automating routine tasks, AI Developer Agents free up developers to focus on creative problem-solving and innovation. This shift allows teams to allocate more time to strategic planning and developing unique features that add value to the project. Scalability AI Developer Agents support scalability by enabling development efforts to grow without requiring proportional increases in team size. They offer flexible scaling, allowing resources to be adjusted based on project demands, making it easier to manage both small and large projects efficiently. 5. Introducing Fine: The Next-Generation AI Developer Agent About Fine Fine is a cutting-edge AI Developer Agent designed to revolutionize software development. Its mission is to empower developers and startups by automating tasks, enhancing collaboration, and accelerating project timelines. What Sets Fine Apart Fine sets itself apart by equipping agents with their own virtual development environment that operates independently in the cloud, making it accessible from anywhere without relying on local systems. It also provides deep integrations, seamlessly connecting with a wide array of development tools, ensuring a smooth and efficient workflow. Moreover, Fine has full context understanding, which allows it to access and comprehend entire codebases, ensuring accurate task execution and reducing the risk of errors. Fine's Advanced Features Fine offers a user-friendly interface with an intuitive design that makes it easy for developers to assign tasks and monitor progress effectively. It utilizes cutting-edge AI algorithms, leveraging advanced machine learning to deliver superior performance. Additionally, Fine provides customization and flexibility, allowing it to adapt to the unique requirements and workflows of each project, ensuring a tailored development experience. 6. Fine's Benefits for Startups and Developers Tailored Solutions Fine provides tailored solutions by employing adaptive learning, allowing it to learn from your codebase and adapt to your specific coding style. It also offers project-specific configurations, enabling developers to customize settings to fit the unique needs of their projects, ensuring that Fine aligns perfectly with their development goals. Improved Collaboration Fine enhances team collaboration through integrated coordination tools that improve communication among team members. It also offers shared workspaces, allowing developers to view and interact with the AI's output, making collaboration more seamless and efficient across the entire team. Real-Time Insights Fine provides real-time insights by delivering immediate feedback, offering instant suggestions and code improvements to enhance development efficiency. It also includes performance analytics, giving developers access to data on efficiency gains and productivity, enabling them to make informed decisions and continuously optimize their workflows. 7. Real-World Use Cases of Fine Industry Applications E-commerce : Streamlining the development of online platforms to provide seamless user experiences and improve transaction processes. AI Developer Agents can help automate the creation of product pages, payment gateways, and customer service chatbots, allowing for efficient scalability. Healthcare Tech : Accelerating the creation of secure medical software that adheres to stringent compliance standards. AI Developer Agents can assist in developing electronic health records (EHR) systems, telehealth platforms, and patient management applications, ensuring both data security and usability. Financial Services : Enhancing the development of compliant financial applications, including payment processing systems, fraud detection, and secure customer portals. AI Developer Agents streamline the coding of regulatory requirements, enabling rapid adaptation to changing financial regulations. Retail : Transforming retail operations by facilitating the development of inventory management systems, point-of-sale (POS) software, and customer loyalty programs. AI Developer Agents can also help in the creation of personalized marketing tools to boost customer engagement and sales. Education Technology (EdTech) : Supporting the development of interactive learning platforms, virtual classrooms, and student management systems. AI Developer Agents assist in coding features like video integration, assessment modules, and personalized learning pathways, enhancing the overall educational experience. Manufacturing : Enabling the development of production management software, predictive maintenance tools, and supply chain management systems. AI Developer Agents help automate data collection and analytics, allowing manufacturers to optimize operations and reduce downtime. Logistics and Supply Chain : Streamlining the development of logistics software, including route optimization tools, shipment tracking systems, and warehouse management solutions. AI Developer Agents help logistics companies optimize their operations and improve the efficiency of supply chain processes. Telecommunications : Assisting in the development of network management tools, customer service applications, and billing systems. AI Developer Agents enable faster deployment of features and ensure that telecommunications platforms remain robust and scalable. Real Estate : Simplifying the creation of property management software, virtual tour integrations, and client communication tools. AI Developer Agents can help automate data handling, property listing updates, and customer inquiries, making real estate management more efficient. Using AI to build AI At Fine, we use our own AI Developer Agents to enhance and build Fine itself. This practice creates a positive feedback loop where our AI continuously improves the platform. By leveraging Fine's AI capabilities, we automate the development of new features, perform code maintenance, and run extensive testing cycles. Fine's agents assist in creating new functionalities, optimizing existing ones, and even identifying areas for further improvement. This approach allows us to accelerate our development cycles, maintain high-quality standards, and ensure that Fine remains at the cutting edge of AI-driven software development. Using AI to build AI is not just a slogan—it’s our daily reality, pushing the boundaries of what our platform can achieve. - Getting Started with Fine 8. Getting Started with Fine Easy Onboarding Process Sign Up : Create an account on Fine's website . Integrate Tools : Connect your repositories and development tools. Fine currently supports GitHub, Linear and Slack, with more on the way. Start Assigning Tasks : Begin leveraging Fine's capabilities immediately. Support and Resources Tutorials and Documentation : Access a wealth of resources to maximize Fine's potential. Customer Support : Reach out to our support team for any assistance. Conclusion AI Developer Agents are reshaping the landscape of software development, bringing unprecedented efficiency and innovation. Fine stands at the forefront of this transformation, offering a next-generation solution that empowers developers and startups to achieve more. Embrace the future of software development with Fine. Join the revolution and elevate your development process to new heights. Transform your software development experience. Try Fine today and be a part of the AI-driven future. Full Table of Contents Introduction The Rise of AI in Software Development Introduction to Software 3.0 What is an AI Developer Agent? Their Role in Modern Development Workflows The Growing Importance of AI Developer Agents Understanding AI Developer Agents Definition and Core Concepts How They Differ from Traditional Development Tools The Evolution of AI in Development From Basic Code Editors to Intelligent Agents Key Features of a Good AI Developer Agent Intelligent Code Assistance Independence of the Development Environment Seamless Integrations Full Context Awareness Learning and Adaptability Collaboration Tools Security and Privacy How to Effectively Use an AI Developer Agent Getting Started Best Practices Common Pitfalls to Avoid Optimizing Workflows Benefits to Startups and Developers Accelerated Development Cycles Enhanced Code Quality Cost Efficiency Focus on Innovation Scalability Introducing Fine: The Next-Generation AI Developer Agent About Fine What Sets Fine Apart Fine's Advanced Features Fine's Benefits for Startups and Developers Tailored Solutions Improved Collaboration Real-Time Insights Real-World Use Cases of Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:36 |
https://www.anthropic.com/news/model-context-protocol#:~:text=MCP%20addresses%20this%20challenge,to%20the%20data%20they%20need | Skip to main content Skip to footer Research Economic Futures Commitments Learn News Try Claude Announcements Introducing the Model Context Protocol Nov 25, 2024 Today, we're open-sourcing the Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses. As AI assistants gain mainstream adoption, the industry has invested heavily in model capabilities, achieving rapid advances in reasoning and quality. Yet even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems. Every new data source requires its own custom implementation, making truly connected systems difficult to scale. MCP addresses this challenge. It provides a universal, open standard for connecting AI systems with data sources, replacing fragmented integrations with a single protocol. The result is a simpler, more reliable way to give AI systems access to the data they need. Model Context Protocol The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers. Today, we're introducing three major components of the Model Context Protocol for developers: The Model Context Protocol specification and SDKs Local MCP server support in the Claude Desktop apps An open-source repository of MCP servers Claude 3.5 Sonnet is adept at quickly building MCP server implementations, making it easy for organizations and individuals to rapidly connect their most important datasets with a range of AI-powered tools. To help developers start exploring, we’re sharing pre-built MCP servers for popular enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer. Early adopters like Block and Apollo have integrated MCP into their systems, while development tools companies including Zed, Replit, Codeium, and Sourcegraph are working with MCP to enhance their platforms—enabling AI agents to better retrieve relevant information to further understand the context around a coding task and produce more nuanced and functional code with fewer attempts. "At Block, open source is more than a development model—it’s the foundation of our work and a commitment to creating technology that drives meaningful change and serves as a public good for all,” said Dhanji R. Prasanna, Chief Technology Officer at Block. “Open technologies like the Model Context Protocol are the bridges that connect AI to real-world applications, ensuring innovation is accessible, transparent, and rooted in collaboration. We are excited to partner on a protocol and use it to build agentic systems, which remove the burden of the mechanical so people can focus on the creative.” Instead of maintaining separate connectors for each data source, developers can now build against a standard protocol. As the ecosystem matures, AI systems will maintain context as they move between different tools and datasets, replacing today's fragmented integrations with a more sustainable architecture. Getting started Developers can start building and testing MCP connectors today. All Claude.ai plans support connecting MCP servers to the Claude Desktop app. Claude for Work customers can begin testing MCP servers locally, connecting Claude to internal systems and datasets. We'll soon provide developer toolkits for deploying remote production MCP servers that can serve your entire Claude for Work organization. To start building: Install pre-built MCP servers through the Claude Desktop app Follow our quickstart guide to build your first MCP server Contribute to our open-source repositories of connectors and implementations An open community We’re committed to building MCP as a collaborative, open-source project and ecosystem, and we’re eager to hear your feedback. Whether you’re an AI tool developer, an enterprise looking to leverage existing data, or an early adopter exploring the frontier, we invite you to build the future of context-aware AI together. Related content Advancing Claude in healthcare and the life sciences Claude for Healthcare introduces HIPAA-ready infrastructure for providers and payers, while expanded Life Sciences capabilities add connectors to Medidata and ClinicalTrials.gov for clinical trial operations and regulatory work. Read more Sharing our compliance framework for California's Transparency in Frontier AI Act Read more Working with the US Department of Energy to unlock the next era of scientific discovery Read more Products Claude Claude Code Claude in Chrome Claude in Excel Claude in Slack Skills Max plan Team plan Enterprise plan Download app Pricing Log in to Claude Models Opus Sonnet Haiku Solutions AI agents Code modernization Coding Customer support Education Financial services Government Healthcare Life sciences Nonprofits Claude Developer Platform Overview Developer docs Pricing Regional Compliance Amazon Bedrock Google Cloud’s Vertex AI Console login Learn Blog Claude partner network Connectors Courses Customer stories Engineering at Anthropic Events Powered by Claude Service partners Startups program Tutorials Use cases Company Anthropic Careers Economic Futures Research News Responsible Scaling Policy Security and compliance Transparency Help and security Availability Status Support center Terms and policies Privacy policy Consumer health data privacy policy Responsible disclosure policy Terms of service: Commercial Terms of service: Consumer Usage policy © 2025 Anthropic PBC Introducing the Model Context Protocol \ Anthropic | 2026-01-13T08:49:36 |
https://opensource.google | Google Open Source Skip to main content Events Projects Programs and services Organizations we support Documentation About Blog / English Español Español – América Latina Indonesia Italiano Português Português – Brasil Türkçe العربيّة 中文 – 简体 日本語 한국어 Sign in Events Projects Programs and services More Documentation About Blog Organizations we support Google Open Source Stay organized with collections Save and categorize content based on your preferences. Google Open Source We bring all the value of open source to Google and all the resources of Google to open source. Learn more Everyone benefits Google believes open source solves real-world problems for everyone. Google's Open Source Programs Office supports open source innovation, collaboration, and sustainability through our programs and services. Use Open source is at the core of the products we build. Release We continue to release code under open source licenses for all to use. Support We foster inclusive environments to support healthy ecosystems. Google Open Source programs Google Open Source programs support open source projects through enabling new contributors, building mentorship, and supporting documentation. Google Summer of Code Google Summer of Code is a global, online program focused on bringing new contributors into open source software development. GSoC Contributors work with an open source organization on a 12+ week programming project under the guidance of mentors. See program timeline View all programs Projects At Google, we use open source to innovate and we release open source to share our innovations. We encourage you to browse through our featured projects to find work to use, share, and build on! View all projects Featured blogs On the Google Open Source blog, you'll find exciting news about Google releases, projects, and program updates, as well as guest posts from our project partners and program participants. View all blogs [[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[],[]] YouTube X LinkedIn Terms Privacy Manage cookies English Español Español – América Latina Indonesia Italiano Português Português – Brasil Türkçe العربيّة 中文 – 简体 日本語 한국어 | 2026-01-13T08:49:36 |
https://dev.to/arvindsundararajan/quantum-leaps-in-concept-understanding-building-ai-that-truly-gets-it-54da#comments | Quantum Leaps in Concept Understanding: Building AI That Truly 'Gets It' - 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 Arvind Sundara Rajan Posted on Sep 12, 2025 Quantum Leaps in Concept Understanding: Building AI That Truly 'Gets It' # machinelearning # quantumcomputing # ai # python Quantum Leaps in Concept Understanding: Building AI That Truly 'Gets It' Imagine AI that understands complex ideas, not just memorizes data. Current AI often struggles with combining concepts, requiring massive retraining for even simple variations. What if we could imbue AI with a more human-like ability to generalize and understand compositional meaning, all while making it efficient and accessible? The core idea? Harness the power of quantum circuits to learn and represent compositional relationships. Instead of classical tensors, we're leveraging the inherent properties of quantum systems to encode and process information, allowing our AI to grasp nuances that traditional methods miss. Think of it like this: a classical computer sees 'red car' as two separate words. A quantum system sees the intertwined relationship – a vehicle characterized by its redness. This approach uses parameterized quantum circuits, trained to map visual information and associated textual descriptions. Encoding the images into a quantum state and then manipulating this state with the parameterized circuit lets us find patterns and associations more efficiently than brute-force classical approaches. The circuit learns the relationships between image features and the words that describe them, leading to better generalization. Benefits for Developers: Improved Generalization: Build models that understand the 'spirit' of a concept, not just the specific examples they were trained on. Faster Training: Quantum circuits can potentially learn these relationships faster, reducing training time and resource consumption. Enhanced Robustness: More resilient to variations and noise in the input data. Composable Concepts: Effortlessly combine learned concepts to understand new, complex ideas. Novel Applications: Unlock new possibilities in fields like medical imaging analysis or advanced robotics, where understanding complex relationships is crucial. Insight: One of the biggest challenges is efficient data encoding. Finding the right quantum representation for your data is key to unlocking the full potential of this approach. Practical Tip: Start with simpler, low-dimensional data sets to experiment with different encoding techniques before tackling complex, real-world scenarios. This is a stepping stone towards AI that truly understands the world around it. The ability to generalize compositional concepts opens up exciting new possibilities for more robust, adaptable, and efficient AI systems. As quantum computing technology matures, these techniques will become increasingly accessible, empowering developers to build the next generation of intelligent machines. Related Keywords: Quantum Machine Learning, Variational Quantum Circuits, Generalization, Concept Learning, Quantum Algorithms, Parameterized Quantum Circuits, Quantum Neural Networks, Data Encoding, Feature Mapping, Quantum Optimization, Hybrid Algorithms, Quantum Advantage, NISQ Era, Quantum Software, Quantum Simulation, Quantum Data, Quantum Artificial Intelligence, Cloud Computing, Machine Learning, Artificial Intelligence, Python, Tensorflow Quantum, PennyLane 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 Arvind Sundara Rajan Follow Arvind Sundara Rajan is a Generative AI Strategist and Senior Director @ LTIMindtree. He is reffered to as arvind sundararajan,arvind rajan, arvind s rajan, aravind sundararajan, sundarajan arvind Location Warsaw Education College Pronouns He/Him Work Senior Director & Gen AI Strategist at LTIMindtree Joined Aug 31, 2025 More from Arvind Sundara Rajan Unveiling Brain Dynamics: A New Era in EEG Analysis # machinelearning # neuroscience # python # datascience Code Your Way to Perfect 3D: Introducing Gradient-Powered Geometry by Arvind Sundararajan # machinelearning # graphics # 3d # ai AI Unveils the Secrets of Chemical Reactions: A Leap for Innovation by Arvind Sundararajan # machinelearning # chemistry # python # 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. 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https://www.anthropic.com/news/model-context-protocol#:~:text=Claude%203,GitHub%2C%20Git%2C%20Postgres%2C%20and%20Puppeteer | Skip to main content Skip to footer Research Economic Futures Commitments Learn News Try Claude Announcements Introducing the Model Context Protocol Nov 25, 2024 Today, we're open-sourcing the Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses. As AI assistants gain mainstream adoption, the industry has invested heavily in model capabilities, achieving rapid advances in reasoning and quality. Yet even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems. Every new data source requires its own custom implementation, making truly connected systems difficult to scale. MCP addresses this challenge. It provides a universal, open standard for connecting AI systems with data sources, replacing fragmented integrations with a single protocol. The result is a simpler, more reliable way to give AI systems access to the data they need. Model Context Protocol The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers. Today, we're introducing three major components of the Model Context Protocol for developers: The Model Context Protocol specification and SDKs Local MCP server support in the Claude Desktop apps An open-source repository of MCP servers Claude 3.5 Sonnet is adept at quickly building MCP server implementations, making it easy for organizations and individuals to rapidly connect their most important datasets with a range of AI-powered tools. To help developers start exploring, we’re sharing pre-built MCP servers for popular enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer. Early adopters like Block and Apollo have integrated MCP into their systems, while development tools companies including Zed, Replit, Codeium, and Sourcegraph are working with MCP to enhance their platforms—enabling AI agents to better retrieve relevant information to further understand the context around a coding task and produce more nuanced and functional code with fewer attempts. "At Block, open source is more than a development model—it’s the foundation of our work and a commitment to creating technology that drives meaningful change and serves as a public good for all,” said Dhanji R. Prasanna, Chief Technology Officer at Block. “Open technologies like the Model Context Protocol are the bridges that connect AI to real-world applications, ensuring innovation is accessible, transparent, and rooted in collaboration. We are excited to partner on a protocol and use it to build agentic systems, which remove the burden of the mechanical so people can focus on the creative.” Instead of maintaining separate connectors for each data source, developers can now build against a standard protocol. As the ecosystem matures, AI systems will maintain context as they move between different tools and datasets, replacing today's fragmented integrations with a more sustainable architecture. Getting started Developers can start building and testing MCP connectors today. All Claude.ai plans support connecting MCP servers to the Claude Desktop app. Claude for Work customers can begin testing MCP servers locally, connecting Claude to internal systems and datasets. We'll soon provide developer toolkits for deploying remote production MCP servers that can serve your entire Claude for Work organization. To start building: Install pre-built MCP servers through the Claude Desktop app Follow our quickstart guide to build your first MCP server Contribute to our open-source repositories of connectors and implementations An open community We’re committed to building MCP as a collaborative, open-source project and ecosystem, and we’re eager to hear your feedback. Whether you’re an AI tool developer, an enterprise looking to leverage existing data, or an early adopter exploring the frontier, we invite you to build the future of context-aware AI together. Related content Advancing Claude in healthcare and the life sciences Claude for Healthcare introduces HIPAA-ready infrastructure for providers and payers, while expanded Life Sciences capabilities add connectors to Medidata and ClinicalTrials.gov for clinical trial operations and regulatory work. Read more Sharing our compliance framework for California's Transparency in Frontier AI Act Read more Working with the US Department of Energy to unlock the next era of scientific discovery Read more Products Claude Claude Code Claude in Chrome Claude in Excel Claude in Slack Skills Max plan Team plan Enterprise plan Download app Pricing Log in to Claude Models Opus Sonnet Haiku Solutions AI agents Code modernization Coding Customer support Education Financial services Government Healthcare Life sciences Nonprofits Claude Developer Platform Overview Developer docs Pricing Regional Compliance Amazon Bedrock Google Cloud’s Vertex AI Console login Learn Blog Claude partner network Connectors Courses Customer stories Engineering at Anthropic Events Powered by Claude Service partners Startups program Tutorials Use cases Company Anthropic Careers Economic Futures Research News Responsible Scaling Policy Security and compliance Transparency Help and security Availability Status Support center Terms and policies Privacy policy Consumer health data privacy policy Responsible disclosure policy Terms of service: Commercial Terms of service: Consumer Usage policy © 2025 Anthropic PBC Introducing the Model Context Protocol \ Anthropic | 2026-01-13T08:49:36 |
https://atom.io | Sunsetting Atom - The GitHub Blog Skip to content Skip to sidebar / Blog Changelog Docs Customer stories Try GitHub Copilot See what's new AI & ML AI & ML Learn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AI Learn how to build with generative AI. GitHub Copilot Change how you work with GitHub Copilot. LLMs Everything developers need to know about LLMs. Machine learning Machine learning tips, tricks, and best practices. How AI code generation works Explore the capabilities and benefits of AI code generation and how it can improve your developer experience. Learn more Developer skills Developer skills Resources for developers to grow in their skills and careers. Application development Insights and best practices for building apps. Career growth Tips & tricks to grow as a professional developer. GitHub Improve how you use GitHub at work. 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How we use GitHub to be more productive, collaborative, and secure Our engineering and security teams do some incredible work. Let’s take a look at how we use GitHub to be more productive, build collaboratively, and shift security left. Learn more Enterprise software Enterprise software Explore how to write, build, and deploy enterprise software at scale. Automation Automating your way to faster and more secure ships. CI/CD Guides on continuous integration and delivery. Collaboration Tips, tools, and tricks to improve developer collaboration. DevOps DevOps resources for enterprise engineering teams. DevSecOps How to integrate security into the SDLC. Governance & compliance Ensuring your builds stay clean. GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for AI Code Assistants Learn why Gartner positioned GitHub as a Leader for the second year in a row. Learn more News & insights News & insights Keep up with what’s new and notable from inside GitHub. 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Learn more Developer skills Back Developer skills Resources for developers to grow in their skills and careers. Application development Insights and best practices for building apps. Career growth Tips & tricks to grow as a professional developer. GitHub Improve how you use GitHub at work. GitHub Education Learn how to move into your first professional role. Programming languages & frameworks Stay current on what’s new (or new again). Get started with GitHub documentation Learn how to start building, shipping, and maintaining software with GitHub. Learn more Engineering Back Engineering Get an inside look at how we’re building the home for all developers. Architecture & optimization Discover how we deliver a performant and highly available experience across the GitHub platform. Engineering principles Explore best practices for building software at scale with a majority remote team. Infrastructure Get a glimpse at the technology underlying the world’s leading AI-powered developer platform. Platform security Learn how we build security into everything we do across the developer lifecycle. User experience Find out what goes into making GitHub the home for all developers. How we use GitHub to be more productive, collaborative, and secure Our engineering and security teams do some incredible work. Let’s take a look at how we use GitHub to be more productive, build collaboratively, and shift security left. Learn more Enterprise software Back Enterprise software Explore how to write, build, and deploy enterprise software at scale. Automation Automating your way to faster and more secure ships. CI/CD Guides on continuous integration and delivery. Collaboration Tips, tools, and tricks to improve developer collaboration. DevOps DevOps resources for enterprise engineering teams. DevSecOps How to integrate security into the SDLC. Governance & compliance Ensuring your builds stay clean. GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for AI Code Assistants Learn why Gartner positioned GitHub as a Leader for the second year in a row. Learn more News & insights Back News & insights Keep up with what’s new and notable from inside GitHub. Company news An inside look at news and product updates from GitHub. Product The latest on GitHub’s platform, products, and tools. Octoverse Insights into the state of open source on GitHub. Policy The latest policy and regulatory changes in software. Research Data-driven insights around the developer ecosystem. The library Older news and updates from GitHub. Unlocking the power of unstructured data with RAG Learn how to use retrieval-augmented generation (RAG) to capture more insights. Learn more Open Source Back Open Source Everything open source on GitHub. Git The latest Git updates. Maintainers Spotlighting open source maintainers. Social impact How open source is driving positive change. Gaming Explore open source games on GitHub. An introduction to innersource Organizations worldwide are incorporating open source methodologies into the way they build and ship their own software. Learn more Security Back Security Stay up to date on everything security. Application security Application security, explained. Supply chain security Demystifying supply chain security. Vulnerability research Updates from the GitHub Security Lab. Web application security Helpful tips on securing web applications. The enterprise guide to AI-powered DevSecOps Learn about core challenges in DevSecOps, and how you can start addressing them with AI and automation. Learn more Changelog Docs Customer stories See what's new Try GitHub Copilot Home / News & insights / Product Sunsetting Atom We are archiving Atom and all projects under the Atom organization for an official sunset on December 15, 2022. GitHub Staff · @github June 8, 2022 | Updated July 23, 2024 | 3 minutes Share: January 30, 2023 Update: Update to the previous version of Atom before February 2 On December 7, 2022, GitHub detected unauthorized access to a set of repositories used in the planning and development of Atom. After a thorough investigation, we have concluded there was no risk to GitHub.com services as a result of this unauthorized access. A set of encrypted code signing certificates were exfiltrated; however, the certificates were password-protected and we have no evidence of malicious use. As a preventative measure, we will revoke the exposed certificates used for the Atom application. Revoking these certificates will invalidate some versions of Atom. These versions of Atom will stop working on February 2. To keep using Atom, users will need to download a previous Atom version . 1.63.1 1.63.0 Read more on our blog , including next steps for impacted Desktop users. November 16, 2022 Update: We’ve since updated our blog post to include additional information about what you can expect after the sunset of Atom on December 15, 2022. See below for specifics. When we introduced Atom in 2011, we set out to give developers a text editor that was deeply customizable but also easy to use—one that made it possible for more people to build software. While that goal of growing the software creator community remains, we’ve decided to retire Atom in order to further our commitment to bringing fast and reliable software development to the cloud via Microsoft Visual Studio Code and GitHub Codespaces. On June 8, 2022, we announced that we will sunset Atom and archive all projects under the organization on December 15, 2022. Why are we doing this? Atom has not had significant feature development for the past several years, though we’ve conducted maintenance and security updates during this period to ensure we’re being good stewards of the project and product. As new cloud-based tools have emerged and evolved over the years, Atom community involvement has declined significantly. As a result, we’ve decided to sunset Atom so we can focus on enhancing the developer experience in the cloud with GitHub Codespaces. This is a tough goodbye. It’s worth reflecting that Atom has served as the foundation for the Electron framework, which paved the way for the creation of thousands of apps, including Microsoft Visual Studio Code, Slack, and our very own GitHub Desktop . However, reliability, security, and performance are core to GitHub, and in order to best serve the developer community, we are archiving Atom to prioritize technologies that enable the future of software development. What happens next? We recognize that Atom is still used by the community and want to acknowledge that migrating to an alternative solution takes time and energy. We are committed to helping users and contributors plan for their migration. On June 8, 2022, we announced the sunset date six months out Through December 15, we’ll continue to inform Atom users of the sunset On December 15, 2022, we will archive the atom/atom repository and all other repositories remaining in the Atom organization If I’m using Atom, what changes can I expect after the sunset? Pre-built Atom binaries can continue to downloaded from the atom repository releases Atom package management will stop working No more security updates Teletype will no longer work Deprecated redirects that supported downloading Electron symbols and headers will no longer work Thank you GitHub and our community have benefited tremendously from those who have filed issues, created extensions, fixed bugs, and built new features on Atom. Atom played an integral part in many developers’ journeys, and we look forward to building and shaping the next chapter of software development together. Tags: Atom Written by GitHub Staff @github GitHub is the world's best developer experience and the only AI-powered platform with security incorporated into every step, so you can innovate with confidence. Atom More on Atom Action needed for GitHub Desktop and Atom users Update to the latest version of Desktop and previous version of Atom before February 2. Alexis Wales Related posts News & insights The future of AI-powered software optimization (and how it can help your team) We envision the future of AI-enabled tooling to look like near-effortless engineering for sustainability. We call it Continuous Efficiency. Paull Young News & insights Let’s talk about GitHub Actions A look at how we rebuilt GitHub Actions’ core architecture and shipped long-requested upgrades to improve performance, workflow flexibility, reliability, and everyday developer experience. Ben De St Paer-Gotch Company news GitHub Availability Report: November 2025 In November, we experienced three incidents that resulted in degraded performance across GitHub services. Jakub Oleksy Explore more from GitHub Docs Everything you need to master GitHub, all in one place. Go to Docs The ReadME Project Stories and voices from the developer community. Learn more GitHub Actions Native CI/CD alongside code hosted in GitHub. Learn more Enterprise content Executive insights, curated just for you Get started We do newsletters, too Discover tips, technical guides, and best practices in our biweekly newsletter just for devs. Your email address * Your email address Subscribe Yes please, I’d like GitHub and affiliates to use my information for personalized communications, targeted advertising and campaign effectiveness. See the GitHub Privacy Statement for more details. 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https://www.fine.dev/blog/ai-developer-agents#fines-advanced-features | AI Developer Agents: Revolutionizing Software Development for Startups with Fine Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI Developer Agents: Revolutionizing Software Development for Startups with Fine You've probably not only heard of, but tried out or subscribed to an AI coding tool in the last year or two. If you're like most developers, it's an autocomplete tool such as GitHub Copilot. Kind of like pair programming, you write a word, the AI completes the line. You may have also heard terms like AI developer agent or Software 3.0 bandied about. In some cases, you've probably heard people discussing the end of coding as we know it and thought - this is the usual scaremongering, these tools aren't that good. Let's dive together into what these AI developer agents are - what makes it an agent, rather than the assistants you've already tried out? How are they affecting software development? How can you use them at work - in your startup, or for your clients? There's a lot of noise out there on the social networks. Indie hackers and non-coders have been building lots of software using new tools. But for the startup ecosystem, AI developer agents hold potential that hasn't fully been explored. Table of Contents Introduction The Rise of AI in Software Development What is an AI Developer Agent? Understanding AI Developer Agents Key Features of a Good AI Developer Agent How to Effectively Use an AI Developer Agent Benefits to Startups and Developers Introducing Fine: The Next-Generation AI Developer Agent Fine's Benefits for Startups and Developers Real-World Use Cases of Fine Getting Started with Fine The Rise of AI in Software Development The integration of AI into software development has streamlined workflows, reduced errors, and accelerated production timelines. AI tools assist developers by providing intelligent code suggestions, detecting bugs early, and automating repetitive tasks. This shift not only boosts productivity but also allows developers to focus on innovative solutions rather than mundane coding chores. Introduction to Software 3.0 Software 3.0 represents a paradigm shift where AI doesn't just assist but actively participates in the development process. In this model, AI agents can understand specifications, write code, and even make autonomous decisions to optimize performance. This progression signifies a move towards more intelligent, adaptive, and efficient software development practices. If previously, developers spent the largest portion of their time writing code, followed by reviewing code, followed by writing specs, that pyramid is being flipped on its head. We software engineers aren't known for being the best communicators, but our natural language communication skills are becoming more important than how fast you type. Now, startup dev teams are focusing most of their time on planning and writing specs, giving it to AI developer agents, reviewing the code and finishing the last 10% of revisions. What is an AI Developer Agent? An AI Developer Agent is an advanced tool that utilizes machine learning and natural language processing to assist and automate software development tasks. Unlike traditional development tools that require manual input for each function, AI Developer Agents can interpret high-level instructions and execute complex coding tasks independently. Identity, Tools and Guidelines. Each agent has a unique identity and a set of skills that it brings to the task. This identity provides perspective to the AI when performing its functions, leading to more effective and focused results. To perform their tasks, agents are equipped with a set of tools. These could range from the ability to browse a repository or third-party documentation to the ability to write code. Many tasks in software development follow a pattern - a set of steps that need to be executed in order to accomplish the task. When you run an Agent in Fine, it will execute a plan. This plan will be generated on-the-fly based on the Agent's guidelines, allowing for flexibility and adaptability to the specific needs of the task. For example, an agent may implement a feature in React using a plan which might involve creating a component, updating the routing, managing state,etc., adapting as needed. Their Role in Modern Development Workflows In contemporary development environments, AI Developer Agents act as virtual team members. They can convert issues into pull requests, write and modify multiple files based on developer specifications, and integrate seamlessly with existing workflows. This capability transforms the development process, making it more efficient and collaborative. When each developer can manage 3-4 agents for the price of a daily coffee, delegating work instead of having to do it manually, startups can grow significantly faster. The Growing Importance of AI Developer Agents The adoption of AI tools by developers and startups is accelerating. Companies seek to leverage AI Developer Agents to reduce time-to-market, enhance code quality, and stay competitive. Measuring the success of AI developer agents is really the same as any development team - using DORA metrics, for example. As these agents become more sophisticated, their role expands from mere assistants to integral components of the development team. 1. Understanding AI Developer Agents Definition and Core Concepts AI Developer Agents are intelligent systems designed to perform coding tasks autonomously. They utilize algorithms that learn from vast codebases, enabling them to generate code, fix bugs, and optimize performance without direct human intervention. How They Differ from Traditional Development Tools Traditional tools require developers to manually input commands and code. In contrast, AI Developer Agents can interpret natural language instructions, understand the context of the project, and make decisions to execute tasks efficiently. This autonomy sets them apart, offering capabilities beyond standard development tools. The Evolution of AI in Development The journey of AI in coding began with simple code editors and auto-completion features. Over time, these evolved into intelligent agents capable of understanding complex instructions and performing end-to-end development tasks. From Basic Code Editors to Intelligent Agents Early code editors provided syntax highlighting and basic error detection. The introduction of AI brought advanced features like predictive code suggestions and automated debugging. Today, AI Developer Agents can manage entire development cycles, marking a significant leap from their predecessors. 2. Key Features of a Good AI Developer Agent Intelligent Code Assistance Modern AI Developer Agents offer more than just auto-completion. They can perform entire development tasks by transforming issues into pull requests autonomously, write and modify multiple files to handle complex changes across a codebase based on specifications, and provide proactive error detection and correction to identify and fix bugs. Independence of the Development Environment Unlike tools that require integration with an Integrated Development Environment (IDE), the best AI Developer Agents operate independently. They run on cloud-based platforms, which means they have their own development environments that are accessible from anywhere. Additionally, they offer autonomous task execution, allowing them to perform tasks without the need for constant developer intervention. Seamless Integrations Effective AI Developer Agents integrate with essential tools that are vital for a smooth development workflow. They connect with version control systems like Git to track changes, and integrate with issue management platforms such as Jira or Trello for task management. Additionally, they work seamlessly with communication tools like Slack or Microsoft Teams to facilitate team collaboration. For continuous integration and deployment, they integrate with CI/CD pipelines such as Jenkins or GitHub Actions . Finally, they connect with bug detection tools like Sentry or Bugsnag for effective error monitoring. Full Context Awareness For accurate task execution, AI Developer Agents must have full context awareness. This means they need to access entire codebases to understand the project's context comprehensively. They must also be able to perform comprehensive searches to find and reference relevant code segments. By having complete information, they can reduce errors and avoid hallucinations, thereby ensuring high-quality output. Security and safety are a serious concern when giving anyone access to your entire codebase, including AI developer agents. Fine's approach of integrating with your GitHub ensures you code is safe in your trusty VCS, whilst the Agent can read and suggest edits which you'll approve. Learning and Adaptability AI Developer Agents exhibit learning and adaptability by continuously improving based on new code and developer interactions. They also adapt to the team's specific coding styles, ensuring that their output matches the established conventions and practices of the development team. Collaboration Tools AI Developer Agents come equipped with collaboration tools that provide shared insights, making recommendations visible to the entire team. They also facilitate team coordination by enhancing communication and making task delegation more efficient among team members. Security and Privacy AI Developer Agents prioritize security and privacy by implementing data protection measures to ensure that code and proprietary information remain secure. They also adhere to industry standards and regulations for data handling, ensuring compliance with all necessary protocols. This is an area that is still evolving as the laws and regulations are updated to reflect the growing capabilities of LLMs. 3. How to Effectively Use an AI Developer Agent Getting Started To get started with an AI Developer Agent, you first need to set up integrations by connecting the agent with your code repositories, issue trackers, and other tools. Once integrated, you should customize the agent's settings to align with your project requirements and team workflows, ensuring it operates smoothly within your development environment. Best Practices When using an AI Developer Agent, it's best to delegate entire tasks such as full features or bug fixes, allowing the agent to manage them autonomously. However, if the task is particularly large, breaking down large projects into smaller tasks that are manageable by the AI can help streamline development and maintain productivity. You can also create automations for repetitive tasks, letting the agent handle mundane coding activities and freeing up time for more complex work. Pitfalls to Avoid While AI Developer Agents can be highly efficient, it's crucial not to over-rely on them. Developers should still review and understand the code produced to maintain quality and ensure proper functionality. Neglecting code reviews can lead to issues down the line, so always perform thorough reviews to uphold high coding standards. Optimizing Workflows To optimize your workflows, customize the AI Developer Agent to fit specific project needs and team preferences. Providing continuous feedback to the agent will also help improve its performance over time, ensuring it adapts to your unique requirements and becomes a more effective tool for your development team. 4. Benefits to Startups and Developers Accelerated Development Cycles AI Developer Agents significantly accelerate development cycles by enabling faster coding through automated code generation. They also allow for quick prototyping, making it easier to rapidly create prototypes to test ideas and features. Enhanced Code Quality With intelligent error detection and correction, AI Developer Agents help minimize bugs , leading to enhanced code quality. They also ensure consistent standards are maintained across the project, resulting in a more uniform and reliable codebase. Cost Efficiency AI Developer Agents contribute to cost efficiency by reducing development costs through increased productivity without the need for additional manpower. They also help optimize the use of existing resources, ensuring that teams can achieve more with what they already have. Focus on Innovation By automating routine tasks, AI Developer Agents free up developers to focus on creative problem-solving and innovation. This shift allows teams to allocate more time to strategic planning and developing unique features that add value to the project. Scalability AI Developer Agents support scalability by enabling development efforts to grow without requiring proportional increases in team size. They offer flexible scaling, allowing resources to be adjusted based on project demands, making it easier to manage both small and large projects efficiently. 5. Introducing Fine: The Next-Generation AI Developer Agent About Fine Fine is a cutting-edge AI Developer Agent designed to revolutionize software development. Its mission is to empower developers and startups by automating tasks, enhancing collaboration, and accelerating project timelines. What Sets Fine Apart Fine sets itself apart by equipping agents with their own virtual development environment that operates independently in the cloud, making it accessible from anywhere without relying on local systems. It also provides deep integrations, seamlessly connecting with a wide array of development tools, ensuring a smooth and efficient workflow. Moreover, Fine has full context understanding, which allows it to access and comprehend entire codebases, ensuring accurate task execution and reducing the risk of errors. Fine's Advanced Features Fine offers a user-friendly interface with an intuitive design that makes it easy for developers to assign tasks and monitor progress effectively. It utilizes cutting-edge AI algorithms, leveraging advanced machine learning to deliver superior performance. Additionally, Fine provides customization and flexibility, allowing it to adapt to the unique requirements and workflows of each project, ensuring a tailored development experience. 6. Fine's Benefits for Startups and Developers Tailored Solutions Fine provides tailored solutions by employing adaptive learning, allowing it to learn from your codebase and adapt to your specific coding style. It also offers project-specific configurations, enabling developers to customize settings to fit the unique needs of their projects, ensuring that Fine aligns perfectly with their development goals. Improved Collaboration Fine enhances team collaboration through integrated coordination tools that improve communication among team members. It also offers shared workspaces, allowing developers to view and interact with the AI's output, making collaboration more seamless and efficient across the entire team. Real-Time Insights Fine provides real-time insights by delivering immediate feedback, offering instant suggestions and code improvements to enhance development efficiency. It also includes performance analytics, giving developers access to data on efficiency gains and productivity, enabling them to make informed decisions and continuously optimize their workflows. 7. Real-World Use Cases of Fine Industry Applications E-commerce : Streamlining the development of online platforms to provide seamless user experiences and improve transaction processes. AI Developer Agents can help automate the creation of product pages, payment gateways, and customer service chatbots, allowing for efficient scalability. Healthcare Tech : Accelerating the creation of secure medical software that adheres to stringent compliance standards. AI Developer Agents can assist in developing electronic health records (EHR) systems, telehealth platforms, and patient management applications, ensuring both data security and usability. Financial Services : Enhancing the development of compliant financial applications, including payment processing systems, fraud detection, and secure customer portals. AI Developer Agents streamline the coding of regulatory requirements, enabling rapid adaptation to changing financial regulations. Retail : Transforming retail operations by facilitating the development of inventory management systems, point-of-sale (POS) software, and customer loyalty programs. AI Developer Agents can also help in the creation of personalized marketing tools to boost customer engagement and sales. Education Technology (EdTech) : Supporting the development of interactive learning platforms, virtual classrooms, and student management systems. AI Developer Agents assist in coding features like video integration, assessment modules, and personalized learning pathways, enhancing the overall educational experience. Manufacturing : Enabling the development of production management software, predictive maintenance tools, and supply chain management systems. AI Developer Agents help automate data collection and analytics, allowing manufacturers to optimize operations and reduce downtime. Logistics and Supply Chain : Streamlining the development of logistics software, including route optimization tools, shipment tracking systems, and warehouse management solutions. AI Developer Agents help logistics companies optimize their operations and improve the efficiency of supply chain processes. Telecommunications : Assisting in the development of network management tools, customer service applications, and billing systems. AI Developer Agents enable faster deployment of features and ensure that telecommunications platforms remain robust and scalable. Real Estate : Simplifying the creation of property management software, virtual tour integrations, and client communication tools. AI Developer Agents can help automate data handling, property listing updates, and customer inquiries, making real estate management more efficient. Using AI to build AI At Fine, we use our own AI Developer Agents to enhance and build Fine itself. This practice creates a positive feedback loop where our AI continuously improves the platform. By leveraging Fine's AI capabilities, we automate the development of new features, perform code maintenance, and run extensive testing cycles. Fine's agents assist in creating new functionalities, optimizing existing ones, and even identifying areas for further improvement. This approach allows us to accelerate our development cycles, maintain high-quality standards, and ensure that Fine remains at the cutting edge of AI-driven software development. Using AI to build AI is not just a slogan—it’s our daily reality, pushing the boundaries of what our platform can achieve. - Getting Started with Fine 8. Getting Started with Fine Easy Onboarding Process Sign Up : Create an account on Fine's website . Integrate Tools : Connect your repositories and development tools. Fine currently supports GitHub, Linear and Slack, with more on the way. Start Assigning Tasks : Begin leveraging Fine's capabilities immediately. Support and Resources Tutorials and Documentation : Access a wealth of resources to maximize Fine's potential. Customer Support : Reach out to our support team for any assistance. Conclusion AI Developer Agents are reshaping the landscape of software development, bringing unprecedented efficiency and innovation. Fine stands at the forefront of this transformation, offering a next-generation solution that empowers developers and startups to achieve more. Embrace the future of software development with Fine. Join the revolution and elevate your development process to new heights. Transform your software development experience. Try Fine today and be a part of the AI-driven future. Full Table of Contents Introduction The Rise of AI in Software Development Introduction to Software 3.0 What is an AI Developer Agent? Their Role in Modern Development Workflows The Growing Importance of AI Developer Agents Understanding AI Developer Agents Definition and Core Concepts How They Differ from Traditional Development Tools The Evolution of AI in Development From Basic Code Editors to Intelligent Agents Key Features of a Good AI Developer Agent Intelligent Code Assistance Independence of the Development Environment Seamless Integrations Full Context Awareness Learning and Adaptability Collaboration Tools Security and Privacy How to Effectively Use an AI Developer Agent Getting Started Best Practices Common Pitfalls to Avoid Optimizing Workflows Benefits to Startups and Developers Accelerated Development Cycles Enhanced Code Quality Cost Efficiency Focus on Innovation Scalability Introducing Fine: The Next-Generation AI Developer Agent About Fine What Sets Fine Apart Fine's Advanced Features Fine's Benefits for Startups and Developers Tailored Solutions Improved Collaboration Real-Time Insights Real-World Use Cases of Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:36 |
https://www.fine.dev/blog/how-to-build-an-app-with-ai#pricing | How to Build an App with AI: A Step-by-Step Guide Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build an App with AI: A Step-by-Step Guide If you have an app idea - whether it’s a SaaS business, B2C solution or something for your own use, but you’re not a developer, you’re probably wondering “ how to build an app with AI ” and “ how to build an app using AI ” to get around the obstacles of coding, hosting, and managing your app. This comprehensive guide walks you through the essential steps—from planning and designing your frontend to deploying your finished product—with a strong focus on integrating AI capabilities. Laying the Foundation: The App-Building Introduction The first step is understanding the complete development lifecycle. Before diving into coding, define your app’s purpose, target audience, and the functionalities that will set your app apart. Knowing how to build an app using AI starts with a solid blueprint—one that outlines your vision, design requirements, and technical specifications. What is your app’s primary purpose? How does it do that? What surrounding functionalities does it need? How will users interact with the functionalities? What data do you need? Crafting a Captivating Frontend A user-friendly and responsive frontend is key to engaging users and showcasing your AI features. The Fine documentation’s Frontend guide emphasizes creating intuitive interfaces that seamlessly integrate with backend services. Use modern frameworks and libraries to build an interactive UI that not only looks great but also communicates efficiently with your AI models. Remember, a polished frontend can be the deciding factor when users ask, “ how to build an app with AI ” that feels both innovative and reliable. Fine’s AI Agents will create the frontend based on your prompts. They follow design best practices, ensuring the interface is clear and easy to understand. You don’t need to worry about padding and animations and all of that - ask the AI to build the app for you. Using AI to build an app on the web means you don’t need to worry about responsiveness. Fine AI builds apps that respond to different screen sizes, including mobile, tablet and desktop. The easiest way for non-developers to build an app is to prompt the Agent to create the interface, and let Fine’s AI handle the backend. Bring your idea to life visually and the Agent will work on the behind the scenes logic. Developing a Robust Backend Behind every successful app lies a powerful backend. This consists of a database, user authentication, permissions, billing, logic scripts, integrations and more. Luckily, Fine’s AI has all these features built in, to build the frontend and backend of your app for you. Using Fine means you don’t need to connect to external backend services such as firebase or supabase - it’s all in one place for you. Managing Data with a Reliable Database Data is the lifeblood of any AI application. The Database section in the Fine docs details how to choose and configure a database that meets your app’s needs. Whether you’re working with structured or unstructured data, selecting the right database is critical for effective AI model training and real-time decision-making. This step is fundamental when you’re learning how to build an app with AI that can scale and adapt to growing user demands. Securing Your App with Authentication Security cannot be overlooked, especially when building apps that leverage AI to handle sensitive data. The Authentication guide offers best practices for implementing robust user authentication and authorization protocols. Ensuring that your app is secure builds trust with your users and protects valuable information. For developers curious about how to build an app using AI , integrating strong authentication is a must-have component of a comprehensive solution. There are various ways to authenticate users, but we recommend keeping it simple with an email and password login. If you’re slightly more experienced, you can add social authentication with Google or other platforms. Seamless Deployment: Launching Your AI-Powered App After developing and testing your app’s features, the final step is deployment. The Deployment section provides practical tips for launching your app into production. Fine AI makes it simple to build and launch your app, with deployment built-in to the AI app-builder. It’s just a couple of clicks to take your app live. Conclusion The best way to learn how to build an app with AI is just to get started! Use Fine’s AI App Building Platform to experiment, practice prompting and see what you can build. It’s free to get started and includes everything you need to build an app with AI. To learn more about individual features, prompting best practices and more how-to advice, visit Fine’s Docs. 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 | 2026-01-13T08:49:36 |
https://www.heroku.com/ai | Build and Scale AI Apps Easily with Heroku AI Search overlay panel for performing site-wide searches Search For: Close Boost Performance & Scale with Postgres Advanced. Join Pilot Now! Search Open Search Popup Account menu Dashboard Databases Dataclips Elements Documentation Support Login Sign Up Products Products Discover Heroku’s AI PaaS (Platform as a Service), designed for effortless app deployment and scaling. Explore our cloud application platform features, reliable managed data services, and a robust ecosystem to power your modern applications. Heroku Platform Deploy, manage, and scale apps on Heroku, an AI PaaS based on a managed container system. Heroku AI Build intelligent applications with managed inference and agents, MCP, and more. Heroku Data Services Simplify your data management with Heroku’s fully managed cloud databases and data services. 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Languages Python .NET Java Node.js Go PHP Ruby Scala Clojure Salesforce OrgFarm: Boosting Developer Productivity with Heroku and AI Explore how Salesforce scaled developer productivity for 15,000 engineers using Heroku and advanced AI solutions. Customers Customers Discover how companies in diverse industries like Healthcare, Entertainment, Automotive, Retail, FinTech, and more achieve growth and foster innovation with our powerful cloud application platform. Learn how they leverage Heroku’s AI PaaS for cutting-edge solutions. Customer Stories Heroku in action: See how organizations of all sizes and industries are succeeding with Heroku. Community Stories Explore real-world experiences and perspectives on Heroku from developers and communities online. How Aspen Physician Network Transformed Patient Care with Heroku Learn how Aspen Physician Network regained data sovereignty and ensured HIPAA compliance by building a scalable, secure platform on Heroku. Pricing Resources Resources Learn more about Heroku's AI PaaS and stay up to date on all Heroku announcements. Gain insights from our team through insightful content and discover how to leverage our platform effectively. Blog Stay up-to-date on Heroku news, important product releases, and valuable insights from the Heroku team. What is Heroku? Learn how Heroku’s AI PaaS simplifies app development, deployment, and scaling. Events Find Heroku at an event near you! Explore our calendar of tech conferences and meetups. Partners For Consultants, ISVs, and technical solution providers looking to grow their business with pro-code solutions. Compliance Center Heroku is a platform you can trust. Explore our compliance certifications and security measures. Help Center Find answers to your questions in the Help Center. Browse FAQs, articles, and get support. Latest News from the Heroku Blog Heroku AI: Accelerating AI Development With New Models, Performance Improvements, and Messages API News Last Updated: December 18, 2025 Anush DSouza This month marks significant expansion for Heroku Managed Inference and Agents , directly accelerating our AI PaaS framework. We’re announcing a substantial addition to our model catalog , providing access to leading proprietary AI models such as Claude Opus 4.5,… Heroku AI: The AI PaaS for Modern Apps Build intelligent applications with managed inference and agents Get Started Now A streamlined platform for building AI-powered apps Heroku is your gateway to building, deploying, and scaling AI-powered applications without the operational complexity. As an AI PaaS, Heroku gives developers the infrastructure, tools, and managed services needed to bring AI apps to life faster. We go beyond the basics by unifying model inference, agents, and seamless interoperability with tools like MCP—all within the trusted Heroku developer experience, with our hallmark simplicity. Heroku brings together the core building blocks needed for AI development: Easy integration of AI models Support for agentic workflows Interoperability between AI and Heroku’s dynamic infrastructure Extensibility through tools like MCP With familiar features like Pipelines and Review Apps, Heroku helps teams iterate quickly and scale AI apps with confidence—backed by the ease, flexibility, and reliability Heroku is known for. Heroku Managed Inference and Agents Build intelligent apps with Heroku Managed Inference and Agents. Access top AI models using a production-ready API, with just a few CLI commands. Heroku Managed Inference and Agents supports a curated set of popular frameworks and models, optimized for performance and cost-efficiency—so you can focus on building, not managing infrastructure. Explore Heroku Managed Inference and Agents MCP (Model Context Protocol) on Heroku Heroku’s MCP Toolkits provide a unified gateway to deploy and manage multiple MCP servers on Heroku. This gives agentic systems like Claude Desktop, Cursor and Heroku Managed Inference and Agents a consistent interface to call APIs and interact with resources, whether they’re running on Heroku or elsewhere. This approach streamlines tool integration, reduces operational overhead, and ensures secure, scalable access to both internal and external services. Explore MCP on Heroku pgvector for Heroku Postgres Enhance your AI applications with vector similarity search using the pgvector extension on Heroku Postgres. Store embeddings, run semantic queries, and power use cases like RAG (retrieval augmented generation) and recommendations—all within your trusted database. Explore pgvector for Heroku Postgres How it works Heroku, a comprehensive AI PaaS, integrates powerful components to bring intelligent capabilities to your application seamlessly. Heroku Managed Inference and Agents provides a comprehensive ecosystem for connecting AI to your application: inference models from top AI providers, embedding generation, vector storage with pgvector for Heroku Postgres and agentic tool calling with MCP – all within Heroku’s trusted infrastructure. Your apps, made smarter Heroku AI is designed for building cloud-native and AI-powered applications and services, accelerating delivery of agentic workflows at scale. Secure, scalable infrastructure Heroku AI runs on Heroku’s proven platform infrastructure, trusted by developers to deploy and scale applications reliably and securely. Whether you’re running a single agent or scaling to thousands, you benefit from Heroku’s mature runtime, built-in security features, and seamless operational experience—all while having access to leading AI models from the world’s top AI providers. Integrated with Heroku developer experience Heroku AI extends the trusted Heroku developer experience to AI use cases. Reduce IT complexity with an integrated platform experience that includes infrastructure, runtime, application, managed inference, agents, AI-native workflows, and developer services. Confidently build and ship AI-powered apps across environments, at scale. Open standards, interoperable tools Heroku AI gives you access to leading AI models, optimized for a range of agentic workflows. It’s built for flexibility—supporting a variety of models, libraries, and development tools—so you can integrate seamlessly with your team’s existing frameworks and build intelligent, responsive applications faster. Get Started Now Heroku AI is ideal for Product teams adding AI-driven features Simplify AI integration. Heroku’s managed platform handles the complexities of inference and agents, freeing up product teams to concentrate on core features. Engineers looking for access to powerful foundation models Get to production faster. Heroku AI services enable you to easily leverage a variety of AI models tailored to your application needs, removing infrastructure hurdles so you can integrate AI into your applications with speed and confidence. Startups iterating fast leveraging managed infrastructure Unleash your AI innovation. Heroku AI services lets you quickly deploy and iterate on intelligent features without infrastructure bottlenecks slowing you down. Enterprises integrating AI into cloud-native architectures Achieve enterprise-grade AI scalability. Built on a next-generation AI PaaS, Heroku AI ensures reliable performance for your critical AI-powered applications at any scale. I was able to get access to using Heroku Managed Inference and Agents and ‘boom’ I’ve got a model running immediately that I can attach to my app and instantly start interacting with and it uses the OpenAI APIs. So all the existing SDKs just work. It saves me so much time and headache. So I can now go and actually run some of these experiments that are critical for some of our new products. Freedom Dumlao Chief Technology Officer, Vestmark Resources Heroku Managed Inference and Agents docs Heroku Managed Inference and Agents Add-on API docs Heroku Managed Inference and Agents Add-on CLI Commands Heroku Managed Inference and Agents Add-on Quick Start Guides Heroku Managed Inference and Agents Available Models docs Heroku Platform MCP Server docs Working with MCP on Heroku pgvector on Heroku Postgres docs Ready to start building with Heroku AI? 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https://dev.to/castai/cast-ai-demo-video-1inc | CAST AI demo video - 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 CAST AI Posted on Dec 1, 2023 CAST AI demo video # kubernetes # devops # monitoring In this video, you will witness CAST AI in action and discover how easily you could achieve savings of over 60% on your Kubernetes cluster. 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 CAST AI Follow Cut your cloud bill in half. AI-driven cloud optimization for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps. Location Miami Joined Dec 29, 2020 More from CAST AI Free Webinar: The DevOps Guide to Job Defensibility # devops # kubernetes # ai # cloud Solving the Reserved Instance Resale Ban With K8s Automation # kubernetes # aws # reservedinstances # ris Grafana Kubernetes Dashboard: How To Use It For Finops # kubernetes # grafana # finops # cloud 💎 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 | 2026-01-13T08:49:36 |
https://dev.to/gianlucam76/sveltos-classifier-1k0p | Kubernetes cluster add-on lifecycle management with Sveltos - 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 Gianluca Posted on Apr 27, 2023 Kubernetes cluster add-on lifecycle management with Sveltos # kubernetes # showdev # opensource # devops Sveltos Classifier presentation. 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 Gianluca Follow https://www.linkedin.com/in/gianlucamardente/ Education PhD Work https://github.com/projectsveltos Joined Nov 25, 2022 More from Gianluca Orchestrating Kubernetes Deployments Through Dependencies # kubernetes # showdev # devops # cloudcomputing Automating Kro Deployments Across Kubernetes Fleets # kubernetes # showdev # devops # cloudcomputing Click-to-Cluster: GitOps EKS Provisioning # kubernetes # opensource # devops # showdev 💎 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 | 2026-01-13T08:49:36 |
https://dev.to/scale_youtube/devoxx-inspiring-the-next-generations-4cjc | Devoxx: Inspiring the Next Generations - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Scale YouTube Posted on Nov 4, 2025 Devoxx: Inspiring the Next Generations # career Inspiring the Next Generations Frank Delporte sits down with Cassandra Chin —author of Raising Young Coders —to dive into her tips for making programming fun and accessible for kids. Grab her Springer book with a 20% discount (code APAUT) and connect with her on LinkedIn for more hands-on advice. Then it’s Daniel De Luca , the founder of Devoxx4Kids, sharing how his workshops turn tech-curious youngsters into passionate coders through playful, age-friendly activities. Hit up his LinkedIn to see how he’s shaping tomorrow’s innovators. Watch on YouTube Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Scale YouTube Follow Joined Aug 2, 2025 More from Scale YouTube NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:36 |
https://dev.to/lambdatest/introduction-to-gitlab-ci-what-is-gitlab-ci-gitlab-tutorial-for-beginners-part-i-3bba | Introduction to GitLab CI | What is GitLab CI | GitLab Tutorial For Beginners | Part I - 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 LambdaTest Team for LambdaTest Posted on Apr 14, 2022 Introduction to GitLab CI | What is GitLab CI | GitLab Tutorial For Beginners | Part I # git # beginners # tutorial # devops GitLab CI Tutorial Series Videos. (7 Part Series) 1 Introduction to GitLab CI | What is GitLab CI | GitLab Tutorial For Beginners | Part I 2 Introduction To GitLab Interface | GitLab Tutorial For Beginners | Part II ... 3 more parts... 3 What Is GitLab Workflow | GitLab Flow | GitLab Tutorial For Beginners | Part III 4 How To Use GitLab Flow In GitLab Project | GitLab Tutorial For Beginners | Part IV 5 What Is GitLab Pipeline? | How To Create GitLab Pipeline | GitLab Tutorial For Beginners | Part V 6 How To Migrate From Jenkins Pipeline To GitLab CI | GitLab Tutorial For Beginners | Part VI 7 What is GitLab Registry? | GitLab Pipeline | GitLab Tutorial For Beginners | Part VII GitLab is an open-source end-to-end DevOps platform that leverages the upstream concepts of Agile Methodologies, DevOps, and Continuous Delivery. Start FREE Testing ! Integrate GitLab with LambdaTest: https://bit.ly/3ti02GM This is Part 1 of the GitLab Tutorial for beginners, wherein Moss(@tech_with_moss), a DevOps engineer, introduces you to the GitLab CI, the fundamental commands of Git, and showcases how to work with GitLab using GitLab flow. He further explains how to migrate from Jenkins Pipelines to GitLab and deploy software using GitLab packaging and releasing features. This video will help answer the following questions 🎫 -: 🔹What is GitLab CI? 🔹Why GitLab is used? 🔹How does GitLab CI work? 🔹What is the difference between Git and GitHub and GitLab? 🔹How do I migrate from Jenkins to GitLab? In this video tutorial module, Moss helps you learn the basics of Git and understand what is GitLab. You will get to know the major components of the GitLab interface, basic workflow in GitLab called GitLab flow, and multiple examples of performing activities with the GitLab flow. Further, deep-diving into more advanced topics of how to do CI/CD in GitLab, explore GitLab packaging and releasing, and learn how to integrate LambdaTest platform with GitLab CI/CD and perform cross browser testing. GitLab CI Tutorial Series Videos. (7 Part Series) 1 Introduction to GitLab CI | What is GitLab CI | GitLab Tutorial For Beginners | Part I 2 Introduction To GitLab Interface | GitLab Tutorial For Beginners | Part II ... 3 more parts... 3 What Is GitLab Workflow | GitLab Flow | GitLab Tutorial For Beginners | Part III 4 How To Use GitLab Flow In GitLab Project | GitLab Tutorial For Beginners | Part IV 5 What Is GitLab Pipeline? | How To Create GitLab Pipeline | GitLab Tutorial For Beginners | Part V 6 How To Migrate From Jenkins Pipeline To GitLab CI | GitLab Tutorial For Beginners | Part VI 7 What is GitLab Registry? | GitLab Pipeline | GitLab Tutorial For Beginners | Part VII 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 LambdaTest Follow LambdaTest is a cloud based Cross Browser Testing Platform. Visit Us More from LambdaTest How To Press Enter Without WebElement In Selenium Python # beginners # tutorial # opensource # selenium How to Write Your First Cypress Test [With Examples] # cypress # beginners # tutorial # programming 10 Top WordPress Cross-Browser Compatible Themes To Look For In 2024 # webdev # programming # beginners # 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 | 2026-01-13T08:49:36 |
https://dev.to/scale_youtube/devoxx-inspiring-the-next-generations-4gdf | Devoxx: Inspiring the Next Generations - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Scale YouTube Posted on Nov 3, 2025 Devoxx: Inspiring the Next Generations # career Inspiring the Next Generations At Devoxx Belgium 2025, Frank Delporte sat down with Cassandra Chin, author of Raising Young Coders, to chat about her new guide for teaching kids programming. She even shared a 20% discount code (APAUT) for her Springer book. Later, Daniel De Luca, founder of Devoxx4Kids, explained how his initiative uses fun, hands-on activities to ignite a passion for technology in children of all ages. Watch on YouTube Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Scale YouTube Follow Joined Aug 2, 2025 More from Scale YouTube NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:36 |
https://dev.to/opscanvas/the-magic-of-opscanvas-deployment-platform-2gd5 | The Magic of OpsCanvas Deployment Platform - 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 Kimberly Rose for OpsCanvas Posted on Nov 8, 2023 The Magic of OpsCanvas Deployment Platform # devops # softwaredevelopment Engineered for developers, OpsCanvas alleviates the intricacies of Infrastructure as Code (IaC) while offering a full suite of deployment services. Utilize our Draw & Deploy functionality to effortlessly create architecture diagrams and initiate cloud application deployments, bypassing the need for deep DevOps expertise. Deployment processes often encompass numerous steps, each being a potential point of delay or error. OpsCanvas addresses this by providing a seamless one-click automation for common deployment tasks, from provisioning managed services to spinning up containerized applications or micro-services to deploying, cloning, updating, rolling back, extending, and decommissioning resources. OpsCanvas enables you to achieve efficient deployments without being bogged down by intricate manual procedures. Learn from Jason Turim, CTO and Co-Founder, how OpsCanvas can simplify your software deployments. 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 OpsCanvas Follow Draw. Deploy. Done OpsCanvas provides a seamless one-click automation for common deployment tasks, from provisioning managed services to spinning up containerized applications to deploying, cloning, updating, rolling back, extending, and decommissioning resources. Sign Up for Free! More from OpsCanvas Aligning Compliance Standards with DevOps Methodologies: An Engineer’s Roadmap # deployment # devops 💎 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 | 2026-01-13T08:49:36 |
https://dev.to/scale_youtube/devoxx-inspiring-the-next-generations-4g67 | Devoxx: Inspiring the Next Generations - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Scale YouTube Posted on Nov 1, 2025 Devoxx: Inspiring the Next Generations # career Inspiring the Next Generations At Devoxx Belgium 2025, Frank Delporte sat down with Cassandra Chin—author of Raising Young Coders: Teaching Programming—to talk about how to get kids hooked on code. She’s offering a 20% discount (use code APAUT) on her new Springer book. He also caught up with Daniel De Luca, the founder of Devoxx4Kids, to explore hands-on activities and creative approaches that spark tech curiosity in children of all ages. Watch on YouTube Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Scale YouTube Follow Joined Aug 2, 2025 More from Scale YouTube NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career NDC Conferences: Optimize Your Internal OS and Minimize Compatibility Issues at Work - Alice Meredith # career 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:36 |
https://www.eisenhower.me/eisenhower-matrix/ | The Eisenhower Matrix: Introduction & 3-Minute Video Tutorial Skip to the content Eisenhower Menu Eisenhower Matrix Apps Eisenhower Matrix PDF Learn More Task Management Manage Your Tasks Introducing the Eisenhower Matrix Productivity Getting Started with Time Management Goal Setting Set Your Goals Goal Setting with the OKR Framework OKR Template Vision Building Create Your Vision Vision Statement Vision Board Menu Close Menu Eisenhower Matrix Apps Eisenhower Matrix PDF Learn More .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Task Management .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Manage Your Tasks Introducing the Eisenhower Matrix Productivity Getting Started with Time Management Goal Setting .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Set Your Goals Goal Setting with the OKR Framework OKR Template Vision Building .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Create Your Vision Vision Statement Vision Board Eisenhower Matrix Apps Eisenhower Matrix PDF Learn More .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Task Management .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Manage Your Tasks Introducing the Eisenhower Matrix Productivity Getting Started with Time Management Goal Setting .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Set Your Goals Goal Setting with the OKR Framework OKR Template Vision Building .sub-menu" data-toggle-type="slidetoggle" data-toggle-duration="250" aria-expanded="false"> Show sub menu Create Your Vision Vision Statement Vision Board Introducing the Eisenhower Matrix What is the Eisenhower Matrix? The Eisenhower Matrix, also referred to as Urgent-Important Matrix, helps you decide on and prioritize tasks by urgency and importance, sorting out less urgent and important tasks which you should either delegate or not do at all. Our free, less than 3 minutes long, YouTube video tutorial on Understanding the Eisenhower Matrix Where does the name come from? Dwight D. Eisenhower was the 34th President of the United States from 1953 until 1961. Before becoming President, he served as a general in the United States Army and as the Allied Forces Supreme Commander during World War II. He also later became NATO’s first supreme commander. Dwight had to make tough decisions continuously about which of the many tasks he should focus on each day. This finally led him to invent the world-famous Eisenhower principle, which today helps us prioritize by urgency and importance. How to use the Eisenhower Matrix? Prioritizing tasks by urgency and importance results in 4 quadrants with different work strategies: ➀ Do First First focus on important tasks to be done the same day. ➁ Schedule Important, but not-so-urgent stuff should be scheduled. ➂ Delegate What’s urgent, but less important, delegate to others. ➃ Don’t Do What’s neither urgent nor important, don’t do at all. We call the first quadrant Do first as its tasks are important for your life and career and need to be done today or tomorrow at the latest. You could use a timer to help you concentrate while trying to get as much of them done as possible. An example of this type of task could be to review an important document for your manager. The second quadrant we call Schedule . Its tasks are important but less urgent. You should list tasks you need to put in your calendar here. An example of that could be a long-planned restart of your gym activity. Professional time managers leave fewer things unplanned and therefore try to manage most of their work in the second quadrant, reducing stress by terminating urgent and important to-dos to a reasonable date in the near future whenever a new task comes in. The third quadrant is for those tasks you could delegate as they are less important to you than others but still pretty urgent. You should keep track of delegated tasks by e-mail, telephone or within a meeting to check back on their progress later. An example of a delegated task could be somebody calling you to ask for an urgent favor or request that you step into a meeting. You could delegate this responsibility by suggesting a better person for the job or by giving the caller the necessary information to have him deal with the matter himself. The fourth and last quadrant is called Don’t Do because it is there to help you sort out things you should not being doing at all. Discover and stop bad habits, like surfing the internet without a reason or gaming too long, these give you an excuse for not being able to deal with important tasks in the 1st and 2nd quadrant. 5 time management tips when working with the Eisenhower Matrix Recommended Reading The 7 Habits of Highly Effective People by Stephen Covey Putting things to-do on a list frees your mind. But always question what is worth doing first. Try limiting yourself to no more than eight tasks per quadrant. Before adding another one, complete the most important one first. Remember: It is not about collecting but finishing tasks. You should always maintain only one list for both business and private tasks. That way you will never be able to complain about not having done anything for your family or yourself at the end of the day. Do not let you or others distract you. Do not let others define your priority. Plan in the morning, then work on your stuff. And in the end, enjoy the feeling of completion. Finally, try not to procrastinate that much. Not even by over-managing your to-dos. For even more tips, refer to our comprehensive introduction to time management . What are you waiting for? Join many others and try our apps or the free Eisenhower Matrix canvas sheet now! Help About Privacy Policy Terms of Use Impressum Contact © 2011 — 2026 Eisenhower , a registered trademark by FTL3. All rights reserved. To the top ↑ Up ↑ | 2026-01-13T08:49:36 |
https://www.fine.dev/blog/ai-assisted-coding#what-is-ai-assisted-coding | AI-Assisted Coding: How Fine is Leading the Future of Code Generation Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back AI-Assisted Coding: How Fine is Leading the Future of Code Generation Table of Contents What is AI-Assisted Coding? Can I Generate Code Using Generative AI Models? How to Detect if Code is Written by AI Fine: Your Partner in AI-Assisted Coding Real-World Applications of Fine Why Choose Fine Over Other AI Tools? How to Get Started with Fine Conclusion What is AI-Assisted Coding? In today’s fast-paced development world, AI-assisted coding is reshaping the way developers work. With advanced generative AI platforms like Fine, coding is becoming more efficient, accurate, and accessible. But what makes Fine stand out from the rest, and how can you use it to generate code or detect AI-written code? In this post, we'll explore these questions and demonstrate how Fine is redefining the future of software development. AI-assisted coding involves leveraging artificial intelligence to aid in the coding process. Tools like Fine help automate repetitive tasks, solve issues, and even generate entire blocks of functional code. This frees developers from mundane coding and lets them focus on solving complex problems. Why Use Fine for AI-Assisted Coding: Boost Productivity: Automate tedious tasks like bug fixes, documentation, and code formatting. Reduce Errors: Fine’s AI detects and corrects common mistakes before they become bigger issues. Tailored Suggestions: Fine learns from your style and preferences to provide more relevant suggestions. Can I Generate Code Using Generative AI Models? Yes! Generative AI models like Fine can quickly generate high-quality code based on your input. How to Generate Code with Fine: Sign Up: Create an account on Fine's platform. Input Your Requirements: Type a natural language description of what you want the code to do. Receive Code Suggestions: Fine will generate a PR based on your input. Review & Test: Check the code and run tests to ensure it meets your project needs. Example: If your platform requires tracking user activity, you could input: "Generate a Python function to log user actions to a database with timestamps." Fine will generate the code to capture user activity, including storing actions, timestamps, and user details in your database, helping you easily implement user behavior tracking for analytics or auditing purposes. Fine doesn’t just stop at code generation. It’s also capable of reviewing, optimizing, and documenting your code—all from a single platform. How to Detect if Code is Written by AI As AI-generated code becomes more prevalent, it's important to recognize the signatures that indicate AI involvement, particularly tools that aren’t tailored to coding and could be causing damage, such as ChatGPT. Signs That Code May Be AI-Generated: Consistent Formatting: AI tools often generate code with uniform indentation and structure. Repetitive Code: AI chat interfaces may produce redundant snippets that human developers would typically optimize. Over- or Under-Commenting: Some AI-generated code includes excessive or minimal comments that may seem unnatural. Generic Variable Names: If the AI doesn’t know what you’ve named your variables, it may add in generic placeholders in the code it writes. If you’re copying and pasting from a tool such as ChatGPT, or using a tool without context awareness such as GitHub Copilot, it’s easy to miss a generic variable name. By contrast, tools like Fine that are integrated with your codebase shouldn’t have this issue and can scan code that isn’t working to identify incorrect variable names. Fine has built-in rules to avoid many of the classic issues that generic AI models face when writing code. What’s more, by integrating with your codebase, it can match your style. Knowing how to detect AI-generated code is important for ensuring high code quality, security, and originality in projects where human oversight is crucial. Fine: Your Partner in AI-Assisted Coding When it comes to AI-assisted coding, Fine stands out from the competition. Built with both seasoned developers and beginners in mind, Fine’s intuitive interface and powerful features help make code generation effortless. Key Features of Fine: Multi-Language Support: Fine can generate code in various languages such as Python, JavaScript, Java, C++, and more. Contextual Suggestions: Fine understands the broader context of your project and provides tailored suggestions. Integrated Debugging: Fine helps identify errors in your code and suggests fixes in real-time. Workflow Automation: Beyond code generation, Fine automates repetitive tasks like testing, documentation, and code review. With its focus on enhancing productivity and reducing manual tasks, Fine is the perfect companion for any developer looking to streamline their workflow. Real-World Applications of Fine Fine isn’t just for one-off coding tasks; it’s designed to integrate seamlessly into your everyday workflow, no matter your industry or project. Common Use Cases for Fine: Backend Development for Software Startups: Fine can help automate complex backend tasks such as building APIs, integrating databases, handling user authentication, and scaling infrastructure, enabling startups to focus on rapid development and product iteration. Mobile App Development: Whether you're building for iOS or Android, Fine can generate cross-platform code that follows best practices. Data Science & Analytics: Automate the creation of scripts for data analysis, visualization, and processing. Why Choose Fine Over Other AI Tools? There are plenty of AI tools on the market, but Fine sets itself apart through precision, customization, and developer-centric features. Why Developers Prefer Fine: Superior Accuracy: Fine’s AI model is trained to provide highly accurate, context-aware code suggestions. Customizable Experience: Developers can configure Fine to follow their coding standards, preferences, and project-specific guidelines. Advanced Debugging Capabilities: Fine not only generates code but also identifies issues in existing code, helping to improve efficiency and reduce errors. Seamless Integration: Fine integrates with more than just your codebase, so you can stay in your familiar development environment while benefiting from AI. How to Get Started with Fine Sign Up: Visit the Fine website to create an account and access the platform. Install Fine: Add Fine’s plugin or extension to your code editor. Set Up Preferences: Customize Fine’s settings based on your coding style and project requirements. Start Coding: Use Fine to assist in writing, debugging, and optimizing your code. Pro Tip: Fine works best when you provide clear, concise inputs. The more specific your request, the more accurate Fine’s code suggestions will be. Conclusion AI-assisted coding is revolutionizing how developers approach software development, and Fine is at the forefront of this transformation. With Fine, developers can save time, reduce errors, and focus on solving the bigger challenges in their projects. Whether you’re a professional developer or a beginner, Fine is designed to enhance your productivity and coding experience. Try Fine Today! Ready to supercharge your coding workflow? Sign up for Fine today and see how AI-assisted coding can take your development process to the next level. Get Started with Fine Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:36 |
https://sourcegraph.com/cody | Cody | AI coding assistant from Sourcegraph UX Design & Webflow Agency NYC | Composite Global IMPORTANT: There are changes to Cody Free, Cody Pro, and Enterprise Starter plans. Learn more Platform UX Design & Webflow Agency NYC | Composite Global Deep Search Agentic, natural language AI search Code Search Powerful search for complex codebases Batch Changes Large-scale, cross-repository changes Insights High-level code metrics and analytics MCP Code graph knowledge for agents APIs GraphQL and REST APIs + webhooks CLI Sourcegraph in your terminal Cody AI coding assistant Resources Case Studies Learn how engineering teams are leveraging Sourcegraph Explore case studies Public Code Search Search across 1M+ public repositories Try Public Code Search Changelog What’s changed in Sourcegraph Blog Product + engineering updates Documentation Get help using Sourcegraph Pricing Search public code Schedule a demo Schedule a demo Schedule a demo Sign up Sign up Sign up Platform Deep Search Code Search Batch Changes Insights Monitors MCP APIs CLI Extensions & Integrations Cody Resources Case Studies Public Code Search Blog Changelog Docs Pricing Open Modal Sign up to get access Continue With GitHub Continue With GitLab Continue With Google By registering, you agree to our Terms of Service and Privacy Policy. Already have an account? Sign in. Cody The enterprise AI code assistant Sourcegraph goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Trusted by the world's largest dev teams Learn More Learn More Learn More Goodbye Cody, Hello Amp Try Amp, the latest generation coding agent built for teams and the best outcomes. Explore Amp Explore Amp Explore Amp Accelerate development in complex codebases with Cody Choosing between speed, quality, or consistency? With Cody you can get all 3. Share and reuse prompts to automate tasks and promote quality and best practices for all of your devs. “Engineers are saving roughly 5-6 hours per week using AI code assistant tools like Cody, and writing code 2x faster than without it.” Roderick Randolph Principal Engineer, Coinbase Integrate Engineered for the enterprise 4/6 of the top US banks, 15+ US government agencies, and 7/10 of the top public technology companies trust Sourcegraph. Seamless integrations Sourcegraph integrates with all your code hosts and works with all major editors. Choose the latest LLMs Access to the latest-gen models that do not retain your data or train on your code. Enterprise-grade Security Strict security controls through full data isolation, zero retention, no model training, detailed audit logs, and controlled access. Security Portal Scale with confidence Leverage Sourcegraph across any size codebase as it can handle your largest files effortlessly. Code understanding for humans and agents Platform Deep Search Code Search Batch Changes Search public code Pricing Resources Documentation Resource Library Blog Changelog Case Studies Community Company About Careers Contact Handbook Brand Guide © 2025 Sourcegraph, Inc. System status Terms of service Privacy policy | 2026-01-13T08:49:36 |
https://www.fine.dev/blog/review-prs-efficiently#use-automated-tools | 10 Tips for Reviewing PRs Effectively and Efficiently Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 10 Tips for Reviewing PRs Effectively and Efficiently Table of Contents Understand the Context Review Small, Frequent PRs Focus on Functionality First Check for Consistency Prioritize Security and Performance Test the Changes Locally Provide Constructive Feedback Use Automated Tools Encourage Discussion Balance Thoroughness with Efficiency AI Coding Tools for PR Reviews 1. Understand the Context Before diving into the code, take a moment to understand the purpose of the PR. Read the description carefully, and if available, check out related tickets or documentation. Knowing the context helps you focus on the important aspects of the code. 2. Review Small, Frequent PRs Encourage submitting smaller, more frequent PRs rather than large, monolithic ones. Smaller PRs are easier to review, less prone to errors, and allow for quicker feedback and iteration. 3. Focus on Functionality First Start by reviewing the functionality. Does the code achieve the intended outcome? Ensure that the logic makes sense and that the feature works as described before delving into the finer details. 4. Check for Consistency Look for consistency in code style, naming conventions, and architecture. Consistent code is easier to read, maintain, and scale. Ensure that the changes align with the existing codebase's standards. 5. Prioritize Security and Performance Evaluate the code for potential security vulnerabilities and performance bottlenecks. Consider how the changes might impact the overall system's security and efficiency. 6. Test the Changes Locally If possible, pull the branch and test the changes locally. Running the code yourself can help you spot issues that aren't immediately obvious from the code alone, such as unexpected side effects or integration problems. 7. Provide Constructive Feedback When pointing out issues or suggesting changes, be constructive and specific. Offer explanations and alternatives rather than just highlighting problems. This fosters a positive, collaborative environment. 8. Use Automated Tools for AI Code Review Leverage automated tools to catch common issues such as syntax errors, formatting problems, and simple bugs. Tools like linters, static analysis tools, and automated tests can save time and ensure consistency. AI-powered tools like Fine are great options for catching such issues automatically, giving you more time to focus on functionality and design. 9. Encourage Discussion Use the PR review process as an opportunity to discuss the code with the author and other team members. Engage in meaningful conversations about design decisions, potential improvements, and alternative approaches. 10. Balance Thoroughness with Efficiency Aim to be thorough in your review, but also be mindful of the time it takes. Focus on critical areas first and avoid getting bogged down by minor issues that can be addressed in subsequent PRs. Remember that the goal is to improve the codebase, not to achieve perfection in a single review. AI Coding Tools for PR Reviews By connecting AI tools to your tech stack, the process of reviewing PRs becomes much easier. To start off with, have the AI create a summary of every PR before you review it. That way, no matter how long or short the PR is, you’ll know what it’s meant to do and how, before you begin. Next, you can have the AI Coding tool review the PR before you do. This can help on both ends of the spectrum: On the one hand, it will catch basic fixes, allowing the developer to fix them before your final review, saving your time as a manager. On the other hand, it will identify edge cases that you may not have considered, thereby improving the quality of your code. Fine is an AI Coding tool that not only reviews and summarizes PRs when directly asked to, but also offers automated workflows. Set it up so that any time a new PR is created (in your codebase or a specific repository), it reviews and summarizes it, sending you a Slack message when it’s done and ready for your sign-off. Here’s how it works . 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 | 2026-01-13T08:49:36 |
https://www.anthropic.com/news/model-context-protocol#:~:text=Model%20Context%20Protocol | Skip to main content Skip to footer Research Economic Futures Commitments Learn News Try Claude Announcements Introducing the Model Context Protocol Nov 25, 2024 Today, we're open-sourcing the Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses. As AI assistants gain mainstream adoption, the industry has invested heavily in model capabilities, achieving rapid advances in reasoning and quality. Yet even the most sophisticated models are constrained by their isolation from data—trapped behind information silos and legacy systems. Every new data source requires its own custom implementation, making truly connected systems difficult to scale. MCP addresses this challenge. It provides a universal, open standard for connecting AI systems with data sources, replacing fragmented integrations with a single protocol. The result is a simpler, more reliable way to give AI systems access to the data they need. Model Context Protocol The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers. Today, we're introducing three major components of the Model Context Protocol for developers: The Model Context Protocol specification and SDKs Local MCP server support in the Claude Desktop apps An open-source repository of MCP servers Claude 3.5 Sonnet is adept at quickly building MCP server implementations, making it easy for organizations and individuals to rapidly connect their most important datasets with a range of AI-powered tools. To help developers start exploring, we’re sharing pre-built MCP servers for popular enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer. Early adopters like Block and Apollo have integrated MCP into their systems, while development tools companies including Zed, Replit, Codeium, and Sourcegraph are working with MCP to enhance their platforms—enabling AI agents to better retrieve relevant information to further understand the context around a coding task and produce more nuanced and functional code with fewer attempts. "At Block, open source is more than a development model—it’s the foundation of our work and a commitment to creating technology that drives meaningful change and serves as a public good for all,” said Dhanji R. Prasanna, Chief Technology Officer at Block. “Open technologies like the Model Context Protocol are the bridges that connect AI to real-world applications, ensuring innovation is accessible, transparent, and rooted in collaboration. We are excited to partner on a protocol and use it to build agentic systems, which remove the burden of the mechanical so people can focus on the creative.” Instead of maintaining separate connectors for each data source, developers can now build against a standard protocol. As the ecosystem matures, AI systems will maintain context as they move between different tools and datasets, replacing today's fragmented integrations with a more sustainable architecture. Getting started Developers can start building and testing MCP connectors today. All Claude.ai plans support connecting MCP servers to the Claude Desktop app. Claude for Work customers can begin testing MCP servers locally, connecting Claude to internal systems and datasets. We'll soon provide developer toolkits for deploying remote production MCP servers that can serve your entire Claude for Work organization. To start building: Install pre-built MCP servers through the Claude Desktop app Follow our quickstart guide to build your first MCP server Contribute to our open-source repositories of connectors and implementations An open community We’re committed to building MCP as a collaborative, open-source project and ecosystem, and we’re eager to hear your feedback. Whether you’re an AI tool developer, an enterprise looking to leverage existing data, or an early adopter exploring the frontier, we invite you to build the future of context-aware AI together. Related content Advancing Claude in healthcare and the life sciences Claude for Healthcare introduces HIPAA-ready infrastructure for providers and payers, while expanded Life Sciences capabilities add connectors to Medidata and ClinicalTrials.gov for clinical trial operations and regulatory work. Read more Sharing our compliance framework for California's Transparency in Frontier AI Act Read more Working with the US Department of Energy to unlock the next era of scientific discovery Read more Products Claude Claude Code Claude in Chrome Claude in Excel Claude in Slack Skills Max plan Team plan Enterprise plan Download app Pricing Log in to Claude Models Opus Sonnet Haiku Solutions AI agents Code modernization Coding Customer support Education Financial services Government Healthcare Life sciences Nonprofits Claude Developer Platform Overview Developer docs Pricing Regional Compliance Amazon Bedrock Google Cloud’s Vertex AI Console login Learn Blog Claude partner network Connectors Courses Customer stories Engineering at Anthropic Events Powered by Claude Service partners Startups program Tutorials Use cases Company Anthropic Careers Economic Futures Research News Responsible Scaling Policy Security and compliance Transparency Help and security Availability Status Support center Terms and policies Privacy policy Consumer health data privacy policy Responsible disclosure policy Terms of service: Commercial Terms of service: Consumer Usage policy © 2025 Anthropic PBC Introducing the Model Context Protocol \ Anthropic | 2026-01-13T08:49:36 |
https://dev.to/gianlucam76/rawkode-academy-hands-on-tutorial-of-project-sveltos-5cc6 | Kubernetes add-on distribution to multitude of clusters - 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 Gianluca Posted on Sep 1, 2023 Kubernetes add-on distribution to multitude of clusters # kubernetes # devops # showdev # tutorial This video is a demo of Sveltos at Rawkode Academy . I hope you enjoyed the demo! If so, I would be grateful if you could check out the GitHub repo for the project . The repo contains the code, documentation, and examples, so it's a great resource for getting started. I would also love to hear your feedback on the project. Please feel free to share your thoughts by opening an issue or submitting a pull request. Your contributions are greatly appreciated! 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 Gianluca Follow https://www.linkedin.com/in/gianlucamardente/ Education PhD Work https://github.com/projectsveltos Joined Nov 25, 2022 More from Gianluca Orchestrating Kubernetes Deployments Through Dependencies # kubernetes # showdev # devops # cloudcomputing Automating Kro Deployments Across Kubernetes Fleets # kubernetes # showdev # devops # cloudcomputing Click-to-Cluster: GitOps EKS Provisioning # kubernetes # opensource # devops # showdev 💎 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 | 2026-01-13T08:49:36 |
https://www.fsf.org/working-together/#content | Working together for free software — Free Software Foundation — Working together for free software ​ Push freedom ahead! The free software community has always thwarted the toughest challenges facing freedom in technology. This winter season, we want to thank the many individuals and projects that have helped us get where we are today: a world where a growing number of users are able to do their computing in full freedom. Our work isn't over. We have so much more to do. Help us reach our stretch New Year's membership goal of 100 new associate members by January 16, 2026, and keep the FSF strong and independent. Join | Read more Join Renew Donate Skip to content , sitemap or skip to search . Personal tools Log in Help! Members forum About Campaigns Licensing Membership Resources Community ♥Donate♥ Shop Search You are here: Home › Working together for free software Info Working together for free software by Free Software Foundation Contributions — Published on Jun 24, 2010 03:29 PM Free software is simply software that respects our freedom — our freedom to learn and understand the software we are using. Free software is designed to free the user from restrictions put in place by proprietary software, and so using free software lets you join a global community of people who are making the political and ethical assertion of our rights to learn and to share what we learn with others. The free software GNU operating system, which began development in 1984 is now used by millions of people worldwide as a replacement to both Microsoft Windows and Apple's macOS operating systems. Because most software we buy or download from the web denies us these rights , we can look at the reasons why: usually we don't actually buy ownership of the software but instead, receive a license to use the software, binding us with many fine-print rules about what we can and cannot do . We should be able to make copies of software and give them to our friends, we should be able to figure out how programs work and change them, we should be able to put copies of software on all the computers in our home or office — these are all things that software licenses are traditionally designed to prevent. Enter the free software movement: groups of individuals in collaboration over the Internet and in local groups, working together for the rights of computer users worldwide, creating new software to replace the bad licenses on your computer with community built software that removes the restrictions put in place and creates new and exciting ways to use computers for social good. Meet the community Meet the Free Software Community Look who's using free software Get started with free software Learn how you can install free software on your computer Meet some of the free software programs you can install Through our Working Together for Free Software campaign fund , you can donate to help advance free software in specific areas. The next steps towards full free software Take the next steps toward complete software freedom For free software projects Join the Working Together for Free Software Fund Read this page in Spanish . Прочитайте эту страницу на русском языке. Document Actions Share on social networks Syndicate: News Events Blogs Jobs GNU 1PC9aZC4hNX2rmmrt7uHTfYAS3hRbph4UN Sign up Enter your email address to receive our monthly newsletter, the Free Software Supporter News Eko K. A. Owen joins the FSF board as the union staff pick Dec 29, 2025 Free Software Foundation receives historic private donations Dec 24, 2025 Free Software Awards winners announced: Andy Wingo, Alx Sa, Govdirectory Dec 09, 2025 More news… Recent blogs Turning freedom values into freedom practice with the FSF tech team December GNU Spotlight with Amin Bandali featuring sixteen new GNU releases: GnuPG, a2ps, and more! Celebrate the new year: join the free software community! A message from FSF president Ian Kelling Recent blogs - More… Upcoming Events Free Software Directory meeting on IRC: Friday, January 16, starting at 12:00 EST (17:00 UTC) Jan 16, 2026 12:00 PM - 03:00 PM — #fsf on libera.chat Previous events… Upcoming events… The FSF is a charity with a worldwide mission to advance software freedom — learn about our history and work. Copyright © 2004-2026 Free Software Foundation , Inc. Privacy Policy . 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AR/VR News AR/VR News AR/VR News Follow Jun 2 '25 Is it more weird to wear earbuds in social situations than wearing Smartglasses ? # arvr Comments Add Comment 1 min read Google CEO: Next year millions of people will try AI smartglasses - We'll have products in the hands of developers this year AR/VR News AR/VR News AR/VR News Follow Jun 2 '25 Google CEO: Next year millions of people will try AI smartglasses - We'll have products in the hands of developers this year # arvr Comments Add Comment 1 min read Anduril and Meta Team Up to Transform XR for the American Military AR/VR News AR/VR News AR/VR News Follow May 30 '25 Anduril and Meta Team Up to Transform XR for the American Military # arvr Comments Add Comment 1 min read DreamPark raises $1.1M to transform real-world spaces into mixed reality theme parks AR/VR News AR/VR News AR/VR News Follow May 30 '25 DreamPark raises $1.1M to transform real-world spaces into mixed reality theme parks # arvr Comments Add Comment 1 min read Google CEO: Next year millions of people will try AI smartglasses - 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We'll have products in the hands of developers this year AR/VR News AR/VR News AR/VR News Follow May 28 '25 Google CEO: Next year millions of people will try AI smartglasses - We'll have products in the hands of developers this year # arvr Comments Add Comment 1 min read Google CEO: Next year millions of people will try AI smartglasses - We'll have products in the hands of developers this year AR/VR News AR/VR News AR/VR News Follow May 28 '25 Google CEO: Next year millions of people will try AI smartglasses - We'll have products in the hands of developers this year # arvr Comments Add Comment 1 min read Samsung's Project Moohan XR headset appears on Geekbench with Snapdragon XR2 Gen 2 chip AR/VR News AR/VR News AR/VR News Follow May 28 '25 Samsung's Project Moohan XR headset appears on Geekbench with Snapdragon XR2 Gen 2 chip # arvr Comments Add Comment 1 min read Android XR Revealed: Google's Smart Glasses Powered by Gemini AI AR/VR News AR/VR News AR/VR News Follow May 27 '25 Android XR Revealed: Google's Smart Glasses Powered by Gemini AI # arvr Comments Add Comment 1 min read Android XR Revealed: Google's Smart Glasses Powered by Gemini AI AR/VR News AR/VR News AR/VR News Follow May 27 '25 Android XR Revealed: Google's Smart Glasses Powered by Gemini AI # arvr Comments Add Comment 1 min read Android XR Revealed: Google's Smart Glasses Powered by Gemini AI AR/VR News AR/VR News AR/VR News Follow May 26 '25 Android XR Revealed: Google's Smart Glasses Powered by Gemini AI # arvr Comments Add Comment 1 min read Android XR Revealed: Google's Smart Glasses Powered by Gemini AI AR/VR News AR/VR News AR/VR News Follow May 26 '25 Android XR Revealed: Google's Smart Glasses Powered by Gemini AI # arvr Comments Add Comment 1 min read Samsung's prototype Android XR smart glasses have me excited, but not for the design AR/VR News AR/VR News AR/VR News Follow May 26 '25 Samsung's prototype Android XR smart glasses have me excited, but not for the design # arvr Comments Add Comment 1 min read Android XR Revealed: Google's Smart Glasses Powered by Gemini AI AR/VR News AR/VR News AR/VR News Follow May 26 '25 Android XR Revealed: Google's Smart Glasses Powered by Gemini AI # arvr Comments Add Comment 1 min read Android XR Revealed: Google's Smart Glasses Powered by Gemini AI AR/VR News AR/VR News AR/VR News Follow May 22 '25 Android XR Revealed: Google's Smart Glasses Powered by Gemini AI # arvr Comments Add Comment 1 min read Android XR Revealed: Google's Smart Glasses Powered by Gemini AI AR/VR News AR/VR News AR/VR News Follow May 22 '25 Android XR Revealed: Google's Smart Glasses Powered by Gemini AI # arvr Comments Add Comment 1 min read "The design of Valve next HMD is quite amazing!" Stan Larroque on X AR/VR News AR/VR News AR/VR News Follow May 20 '25 "The design of Valve next HMD is quite amazing!" Stan Larroque on X # arvr 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 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 | 2026-01-13T08:49:36 |
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