How to maximize GitHub Copilot’s agentic capabilities
A senior engineer’s guide to architecting and extending Copilot’s real-world applications.
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.
A senior engineer’s guide to architecting and extending Copilot’s real-world applications.
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.
Explore the GitHub Copilot CLI and try interacting with Copilot directly from your terminal.
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 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.
An easy-to-remember acronym, WRAP will help you write effective issues, refine your instructions, and get the most out of Copilot coding agent.
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.
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.
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.