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.
Explore comprehensive guides about GitHub Copilot, an AI-powered code completion tool, to enhance coding efficiency and accuracy with best practices, tips for maximizing Copilot’s capabilities, and real-world examples. Want more technical information on GitHub Copilot? Head over to our documentation to learn more about using GitHub Copilot in your IDE, on GitHub, and across your workflows.
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.
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.
We’re using embedding-guided tool routing, adaptive clustering, and a streamlined 13-tool core to deliver faster experience in VS Code.
Learn how to write effective agents.md files for GitHub Copilot with practical tips, real examples, and templates from analyzing 2,500+ repositories.
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.
A breakdown of how Copilot coding agent has contributed to a better, more powerful GitHub.
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.
How GitHub Copilot works today—including mission control—and how to get the most out of it. Here’s what you need to know.
Find out about the latest custom models powering the completions experience in GitHub Copilot.
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.
Discover how GitHub Copilot has evolved from a high-powered autocomplete tool to a powerful, multi-model agentic assistant.
GitHub Copilot and AI agents are making legacy COBOL systems accessible to modern developers.
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.
See how this three-part framework will turn AI into a repeatable and reliable engineering practice.
See how we turned weekly accessibility signals into an automated, accountable remediation workflow—powered by GitHub Copilot and cross‑functional collaboration.
Learn how to use GitHub Copilot agent mode to modernize legacy Java projects with guided upgrades, automated fixes, and cloud-ready migrations.
Our commitment is to empower every developer and stay true to our north star by building an open, secure, and AI-powered platform that defines the future of software development.
Already know the basics of GitHub Copilot coding agent? Here are five ways to offload chores, tackle tech debt, and keep your workflow moving fast.
This is your new home base for discovering MCP servers. Learn how we’re working with the broader community on MCP publication and discovery.
Build what’s next on GitHub, the place for anyone from anywhere to build anything.
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.