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.
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.
Learn how to write effective agents.md files for GitHub Copilot with practical tips, real examples, and templates from analyzing 2,500+ repositories.
See how this three-part framework will turn AI into a repeatable and reliable engineering practice.
Explore how I use agentic tools like GitHub Copilot agent mode and the Playwright MCP server to accelerate troubleshooting and debugging of UI issues, while revisiting the importance of clear requirements.
A practical guide to GitHub Copilot’s agentic coding agent, chat modes, and remote MCP server so you turn issues into tested PRs with clear steps (and no hype).
AI agents in GitHub Copilot don’t just assist developers but actively solve problems through multi-step reasoning and execution. Here’s what that means.
Implementing features has never been easier: Just assign a task or issue to Copilot. It runs in the background with GitHub Actions and submits its work as a pull request.
Introducing agent mode for GitHub Copilot in VS Code, announcing the general availability of Copilot Edits, and providing a first look at our SWE agent.
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.