Dungeons & Desktops: Building a procedurally generated roguelike with GitHub Copilot CLI
Learn how one Hubber used GitHub Copilot CLI to build an extension that turns any codebase into a unique, roguelike dungeon.
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.
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 Coding Agents 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.
I used coding agents to build agents that automated part of my job. Here’s what I learned about working better with coding agents.
Learn how to integrate the Copilot SDK into a React Native app to generate AI-powered issue summaries, with production patterns for graceful degradation and caching.
An inside look at repository-native orchestration with GitHub Copilot and the design patterns behind multi-agent workflows that stay inspectable, predictable, and collaborative.
AI automates triage for accessibility feedback, allowing us to focus on fixing barriers—turning a chaotic backlog into continuous, rapid resolutions.
AI is shifting from prompt-response interactions to programmable execution. See how the GitHub Copilot SDK enables agentic workflows directly inside your applications.
How Copilot code review helps teams keep up with AI-accelerated code changes.
GitHub Copilot Dev Days is a global series of hands-on, in-person, community-led events designed to help developers explore real-world, AI-assisted coding.
A hands-on guide to using GitHub Copilot CLI to move from intent to reviewable changes, and how that work flows naturally into your IDE and GitHub.
GitHub Copilot coding agent now includes a model picker, self-review, built-in security scanning, custom agents, and CLI handoff. Here’s what’s new and how to use it.
Build what’s next on GitHub, the place for anyone from anywhere to build anything.
Catch up on the GitHub podcast, a show dedicated to the topics, trends, stories and culture in and around the open source developer community on GitHub.