GitHub Copilot

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.

Featured

Meet the GitHub MCP Registry: The fastest way to discover MCP Servers

This is your new home base for discovering MCP servers. Learn how we’re working with the broader community on MCP publication and discovery.

GitHub Copilot coding agent 101: Getting started with agentic workflows on GitHub

Delegate it a task, and coding agent can independently write, run, and test code. Here’s how you can make the most of it.

How to debug a web app with Playwright MCP and GitHub Copilot

Reproduce and debug web app issues with ease using the Playwright MCP server and GitHub Copilot.

Building smarter interactions with MCP elicitation: From clunky tool calls to seamless user experiences

Explore how MCP elicitation transforms AI tool interactions by gathering missing information upfront.

Latest

5 tips for writing better custom instructions for Copilot

This guide offers five essential tips for writing effective GitHub Copilot custom instructions, covering project overview, tech stack, coding guidelines, structure, and resources, to help developers get better code suggestions.

Under the hood: Exploring the AI models powering GitHub Copilot

Learn how GitHub Copilot’s evolving models and infrastructure center developer choice and power agentic workflows.

How we accelerated Secret Protection engineering with Copilot

Learn how the Secret Protection engineering team collaborated with GitHub Copilot coding agent to expand validity check coverage.

How to use GitHub Copilot on github.com: A power user’s guide

Explore how to use GitHub Copilot on github.com to automate tasks, assign agents, prototype ideas, and streamline your entire workflow — all without an IDE.

Building your first MCP server: How to extend AI tools with custom capabilities

Learn Model Context Protocol by building a turn-based game server that shows how to extend GitHub Copilot with custom tools, resources, and prompts.

How to use GitHub Copilot to level up your code reviews and pull requests

Discover practical ways GitHub Copilot streamlines code reviews, pull requests, and daily engineering tasks with real prompts, examples, and workflow tips from our engineering team.

Onboarding your AI peer programmer: Setting up GitHub Copilot coding agent for success

Learn how to configure Copilot coding agent’s environment, optimize project structure, use custom instructions, and extend its capabilities with MCP servers.

Debugging UI with AI: GitHub Copilot agent mode meets MCP servers

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.

For the Love of Code: a summer hackathon for joyful, ridiculous, and wildly creative projects

That idea you’ve been sitting on? The domain you bought at 2AM? A silly or serious side project? This summer, we invite you to build it — for the joy, for the vibes, For the Love of Code 🧡

From chaos to clarity: Using GitHub Copilot agents to improve developer workflows

Explore how you can set Copilot coding agent up for success with custom instruction and Copilot setup steps.

Beyond prompt crafting: How to be a better partner for your AI pair programmer

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

5 ways to transform your workflow using GitHub Copilot and MCP

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

From idea to PR: A guide to GitHub Copilot’s agentic workflows

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).