GitHub Copilot

Ensuring quality code suggestions from Copilot goes beyond the perfect prompt. Context is key to success when working with your AI pair programmer.

Learn how to streamline your development workflow with five different MCP use cases.

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.

Reduce context-switching, minimize manual work, and accelerate resolution times with these new AI-powered features.

Tech debt is a big problem that no one has time to solve. GitHub Copilot coding agent can help.

Learn how to use GitHub Copilot to help review and polish your code.

Have you tried the new coding agent in GitHub Copilot? Here’s how developers are using it to work more efficiently.

Learn how to spin up a GitHub Issue, hand it to Copilot, and get a draft pull request in the same workflow you already know.

We’ll decode these two tools—and show you how to use them both to work more efficiently.

See how to use GitHub Copilot to engage in some test-driven development.

A full look at agent mode in GitHub Copilot, including what it can do, when to use it, and best practices.

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.

Learn how to go from curious coder to AI wizard—with a little help from GitHub.