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.
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.
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.
Run tests, fix code, and get support—right in your workflow. Stay focused and let Copilot handle the busywork.
Learn how we are using the newly released GitHub Security Lab Taskflow Agent to triage categories of vulnerabilities in GitHub Actions and JavaScript projects.
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.
Copilot’s cross-agent memory system lets agents learn and improve across your development workflow, starting with coding agent, CLI, and code review.
Announcing GitHub Security Lab Taskflow Agent, an open source and collaborative framework for security research with AI.
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.
Learn how custom instructions, reusable prompts, and custom agents help GitHub Copilot deliver more accurate results.
AI is settling the “typed vs. untyped” debate by turning type systems into the safety net for code you didn’t write yourself.
Explore the GitHub Blog’s top posts covering the biggest software development topics of the year.
An easy-to-remember acronym, WRAP will help you write effective issues, refine your instructions, and get the most out of Copilot coding agent.
AI can help you build faster than ever, but it can also produce bugs, issues, and problems. Use these strategies to keep your speed without losing control of your code.
Follow this step-by-step guide to learn how to debug your issues using GitHub Copilot Spaces and Copilot coding agent.
Use partner-built Copilot agents to debug, secure, and automate engineering workflows across your terminal, editor, and github.com.
Run multiple Copilot agents from one place. Learn prompt techniques, how to spot drift early, and how to review agent work efficiently.
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.
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.