How GitHub’s agentic security principles make our AI agents as secure as possible
Learn more about the agentic security principles that we use to build secure AI products—and how you can apply them to your own agents.
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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
Evolving GitHub Copilot’s next edit suggestions through custom model training
GitHub Copilot’s next edit suggestions just got faster, smarter, and more precise thanks to new data pipelines, reinforcement learning, and continuous model updates built for in-editor workflows.
How we’re making GitHub Copilot smarter with fewer tools
We’re using embedding-guided tool routing, adaptive clustering, and a streamlined 13-tool core to deliver faster experience in VS Code.
How to write a great agents.md: Lessons from over 2,500 repositories
Learn how to write effective agents.md files for GitHub Copilot with practical tips, real examples, and templates from analyzing 2,500+ repositories.
Latest
Unlocking the full power of Copilot code review: Master your instructions files
Discover practical tips, examples, and best practices for writing effective instructions files. Whether you’re new or experienced, you’ll find something to level up your code reviews.
How Copilot helps build the GitHub platform
A breakdown of how Copilot coding agent has contributed to a better, more powerful GitHub.
GitHub Copilot CLI 101: How to use GitHub Copilot from the command line
Curious about using GitHub Copilot in your terminal? Here’s our guide to GitHub Copilot CLI, including a starter kit with the best prompts for a wide range of use cases.
GitHub Copilot tutorial: How to build, test, review, and ship code faster (with real prompts)
How GitHub Copilot works today—including mission control—and how to get the most out of it. Here’s what you need to know.
Measuring what matters: How offline evaluation of GitHub MCP Server works
Take a look inside our automated pipeline for rapid, rigorous evaluation for the GitHub MCP Server.
How to find, install, and manage MCP servers with the GitHub MCP Registry
Learn how to bring structure and security to your AI ecosystem with the GitHub MCP Registry, the single source of truth for managing and governing MCP servers.
The road to better completions: Building a faster, smarter GitHub Copilot with a new custom model
Find out about the latest custom models powering the completions experience in GitHub Copilot.
How to update community health files with AI
Have you ever thought about using AI to update community health files for your repositories? This blog shares actionable next steps for doing just that, including a starter kit with a checklist and tutorials on how to create three useful files.
Copilot: Faster, smarter, and built for how you work now
Discover how GitHub Copilot has evolved from a high-powered autocomplete tool to a powerful, multi-model agentic assistant.
How GitHub Copilot and AI agents are saving legacy systems
GitHub Copilot and AI agents are making legacy COBOL systems accessible to modern developers.
GitHub Copilot CLI: How to get started
Discover how to use GitHub Copilot directly in the terminal. From cloning a repository to opening a pull request, here’s how to streamline your workflow with Copilot CLI.
How to build reliable AI workflows with agentic primitives and context engineering
See how this three-part framework will turn AI into a repeatable and reliable engineering practice.
How GitHub Copilot enabled accessibility governance process improvements in record time
See how we turned weekly accessibility signals into an automated, accountable remediation workflow—powered by GitHub Copilot and cross‑functional collaboration.
The developer role is evolving. Here’s how to stay ahead.
AI is changing how software gets built. Explore the skills you need to keep up and stand out.
Spec-driven development: Using Markdown as a programming language when building with AI
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. ✨
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