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Learn how to use GitHub Copilot to detect vulnerabilities, implement security controls, automate testing, and help ensure compliance.

Developers can save time with GitHub Copilot, but productivity involves more than generating code.

GitHub Copilot gives you several ways to work, but choosing how much to delegate and knowing whether to trust the result can be difficult.

Build real CI/CD pipelines: automated tests, matrix builds, caching, secrets, GitHub Pages deploys and Docker images

Specs, tests, code review, security and legacy Java: ship production software with Claude Code, Cursor and Copilot

GitHub’s official command line tool

Learn GitHub Copilot, write effective prompts, generate code, fix bugs, and build real-world projects

Use AI responsibly across CI/CD, IaC, ChatOps, incident response, and DevOps automation.

Discover a five-step process to generate, inspect, test, verify, and improve AI-generated Python code with GitHub Copilot before using it in your projects.

Master GitHub Copilot for code completion, AI chat, testing, debugging, and enterprise configuration with Github Copilot

GitHub Copilot is often treated like a somewhat fancy autocomplete.

The GitHub Copilot CLI is great at reasoning about the code on your machine, but most real engineering problems also depend on data the AI can't see: your internal APIs, your team's documentation, your issue tracker, and the systems your organization runs on.