Building a general-purpose accessibility agent—and what we learned in the process
Learn about the experimental general-purpose accessibility agent that GitHub is piloting.
Explore in-depth articles and tutorials on generative artificial intelligence (AI) models, such as GANs and transformers, techniques to improve performance with RAG, and practical applications for generative AI in your projects. Just getting started? Check out our guide on generative AI.
Learn about the experimental general-purpose accessibility agent that GitHub is piloting.
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.
GitHub for Beginners: Getting started with the GitHub Copilot CLI, a step-by-step tutorial.
AI is shifting from prompt-response interactions to programmable execution. See how the GitHub Copilot SDK enables agentic workflows directly inside your applications.
GitHub Agentic Workflows are built with isolation, constrained outputs, and comprehensive logging. Learn how our threat model and security architecture help teams run agents safely in GitHub Actions.
How Copilot code review helps teams keep up with AI-accelerated code changes.
Most multi-agent workflow failures come down to missing structure, not model capability. Learn the three engineering patterns that make agent systems reliable.
AI is rewiring developer preferences through convenience loops. Octoverse 2025 reveals how AI compatibility is becoming the new standard for technology choice.
Discover GitHub Agentic Workflows, now in technical preview. Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more.
Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning.
AI is designed to help you do what you love most, not replace your expertise. Discover how developer feedback and real-world experience are shaping AI coding tools that keep you in control.
Learn how custom instructions, reusable prompts, and custom agents help GitHub Copilot deliver more accurate results.
AI can help you build faster than ever, but it can also produce bugs, issues, and problems. Use these strategies to keep your speed without losing control of your code.
Use partner-built Copilot agents to debug, secure, and automate engineering workflows across your terminal, editor, and github.com.
Take a look inside our automated pipeline for rapid, rigorous evaluation for the GitHub MCP Server.
Learn how to bring structure and security to your AI ecosystem with the GitHub MCP Registry, the single source of truth for managing and governing MCP servers.
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.