Build what's next on GitHub, the place for anyone from anywhere to build anything.
Join us October 28-29 in San Francisco or online for GitHub Universe, our flagship developer event uniting people, agents, and the world's code.
GitHub engineers and industry thought leaders offer tips, best practices, and practical explainers about various aspects of AI and ML, ranging from fundamental concepts to advanced techniques and real-world applications. For more detailed documentation and practical guides on GitHub’s own AI coding tool, GitHub Copilot, check out GitHub's official documentation .
How GitHub Copilot is making more of each session go toward useful work, so your credits go further.
Git worktrees have been around since 2015, but it wasn’t until recently they became popular. Learn what they are, how to use them, and why you might.
GitHub Copilot CLI for Beginners: Learn how to use slash commands to control your terminal AI agent.
A new repository-level dataset, published on GitHub under CC0-1.0, helps researchers and developers discover multilingual developer content across READMEs, issues, and pull requests.
Discover tips, technical guides, and best practices in our biweekly newsletter just for devs.
Better orchestration, fewer handoffs, faster progress, without a single new knob.
Install and configure LSP servers for GitHub Copilot CLI, replacing brute-force grep/decompile with real code intelligence.
Custom agents let GitHub Copilot CLI understand your stack and team workflows, turning one-off terminal prompts into repeatable, reviewable processes.
We are committed to empowering every developer by building an open, secure, and AI-powered platform that defines the future of software development.
Learn about the experimental general-purpose accessibility agent that GitHub is piloting.
Learn how one Hubber used GitHub Copilot CLI to build an extension that turns any codebase into a unique, roguelike dungeon.
Agentic workflows that run on every pull request can quietly accumulate large API bills. Here’s how we instrumented our own production workflows, found the inefficiencies, and built agents to fix them.
A practical guide to reviewing agent-generated pull requests: what to look for, where issues hide, and how to catch technical debt before it ships.
How to build the “Trust Layer” for GitHub Copilot cloud agent without brittle scripts or black-box judgements by using dominatory analysis.
Learn the difference between CLI interactive v. non-interactive modes.
See how we created an emoji list generator during the Rubber Duck Thursday stream.
Learn about the productivity tool one GitHub engineer built, and how AI supported the development process.
GitHub for Beginners: Getting started with the GitHub Copilot CLI, a step-by-step tutorial.
Discover how Rubber Duck provides a different perspective to GitHub Copilot CLI.
/fleet lets Copilot CLI dispatch multiple agents in parallel. Learn how to write prompts that split work across files, declare dependencies, and avoid common pitfalls.
