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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.
  - 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.
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Engineering
- 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
- 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.
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News & insights
- 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.
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Open Source
- 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
- 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.
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AI & ML

GitHub engineers and industry thought leaders offer tips, best practices, and practical explainers about various aspects of AI and ML, ranging from fundamental concepts to advanced techniques and real-world applications. For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub’s official documentation.

Featured

From idea to pull request: A practical guide to building with GitHub Copilot CLI

A hands-on guide to using GitHub Copilot CLI to move from intent to reviewable changes, and how that work flows naturally into your IDE and GitHub.

What’s new with GitHub Copilot coding agent

GitHub Copilot coding agent now includes a model picker, self-review, built-in security scanning, custom agents, and CLI handoff. Here’s what’s new and how to use it.

Multi-agent workflows often fail. Here’s how to engineer ones that don’t.

Most multi-agent workflow failures come down to missing structure, not model capability. Learn the three engineering patterns that make agent systems reliable.

How AI is reshaping developer choice (and Octoverse data proves it)

AI is rewiring developer preferences through convenience loops. Octoverse 2025 reveals how AI compatibility is becoming the new standard for technology choice.

Latest

Automate repository tasks with GitHub Agentic Workflows

Discover GitHub Agentic Workflows, now in technical preview. Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.

Continuous AI in practice: What developers can automate today with agentic CI

Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning.

How to maximize GitHub Copilot’s agentic capabilities

A senior engineer’s guide to architecting and extending Copilot’s real-world applications.

Decorative header image showing the GitHub Copilot CLI ASCII art.

From pixels to characters: The engineering behind GitHub Copilot CLI’s animated ASCII banner

Learn how GitHub built an accessible, multi-terminal-safe ASCII animation for the Copilot CLI using custom tooling, ANSI color roles, and advanced terminal engineering.

A stylized image of GitHub Copilot in your CLI.

Power agentic workflows in your terminal with GitHub Copilot CLI

Explore the GitHub Copilot CLI and try interacting with Copilot directly from your terminal.

Build an agent into any app with the GitHub Copilot SDK

Now in technical preview, the GitHub Copilot SDK can plan, invoke tools, edit files, and run commands as a programmable layer you can use in any application.

A cheat sheet to slash commands in GitHub Copilot CLI

Run tests, fix code, and get support—right in your workflow. Stay focused and let Copilot handle the busywork.

AI-supported vulnerability triage with the GitHub Security Lab Taskflow Agent

Learn how we are using the newly released GitHub Security Lab Taskflow Agent to triage categories of vulnerabilities in GitHub Actions and JavaScript projects.

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Context windows, Plan agent, and TDD: What I learned building a countdown app with GitHub Copilot

Learn how I managed context to keep Copilot focused, used the Plan agent to sharpen vague requirements, and required Test Driven Development practices to catch bugs before users.

Building an agentic memory system for GitHub Copilot

Copilot’s cross-agent memory system lets agents learn and improve across your development workflow, starting with coding agent, CLI, and code review.

Community-powered security with AI: an open source framework for security research

Announcing GitHub Security Lab Taskflow Agent, an open source and collaborative framework for security research with AI.

What AI is actually good for, according to developers

AI is designed to help you do what you love most, not replace your expertise. Discover how developer feedback and real-world experience are shaping AI coding tools that keep you in control.

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Want better AI outputs? Try context engineering.

Learn how custom instructions, reusable prompts, and custom agents help GitHub Copilot deliver more accurate results.

Why AI is pushing developers toward typed languages

AI is settling the “typed vs. untyped” debate by turning type systems into the safety net for code you didn’t write yourself.

Agentic AI, MCP, and spec-driven development: Top blog posts of 2025

Explore the GitHub Blog’s top posts covering the biggest software development topics of the year.

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