
Copilot: Faster, smarter, and built for how you work now
Discover how GitHub Copilot has evolved from a high-powered autocomplete tool to a powerful, multi-model agentic assistant.

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.
Discover how GitHub Copilot has evolved from a high-powered autocomplete tool to a powerful, multi-model agentic assistant.
GitHub Copilot and AI agents are making legacy COBOL systems accessible to modern developers.
Discover how to use GitHub Copilot directly in the terminal. From cloning a repository to opening a pull request, here’s how to streamline your workflow with Copilot CLI.
See how this three-part framework will turn AI into a repeatable and reliable engineering practice.
See how we turned weekly accessibility signals into an automated, accountable remediation workflow—powered by GitHub Copilot and cross‑functional collaboration.
Learn how to use GitHub Copilot agent mode to modernize legacy Java projects with guided upgrades, automated fixes, and cloud-ready migrations.
Our commitment is to empower every developer and stay true to our north star by building an open, secure, and AI-powered platform that defines the future of software development.
Already know the basics of GitHub Copilot coding agent? Here are five ways to offload chores, tackle tech debt, and keep your workflow moving fast.
This is your new home base for discovering MCP servers. Learn how we’re working with the broader community on MCP publication and discovery.
Delegate it a task, and coding agent can independently write, run, and test code. Here’s how you can make the most of it.
Reproduce and debug web app issues with ease using the Playwright MCP server and GitHub Copilot.
Explore how MCP elicitation transforms AI tool interactions by gathering missing information upfront.
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.
Learn how GitHub Copilot’s evolving models and infrastructure center developer choice and power agentic workflows.
Learn how the Secret Protection engineering team collaborated with GitHub Copilot coding agent to expand validity check coverage.
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.
Learn Model Context Protocol by building a turn-based game server that shows how to extend GitHub Copilot with custom tools, resources, and prompts.
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.
Learn how to configure Copilot coding agent’s environment, optimize project structure, use custom instructions, and extend its capabilities with MCP servers.
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