AI & ML

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.

Featured

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Build once, run on any agent: A practical guide to agent skills

Agent skills capture repeatable engineering work in files teams can review and reuse, while tools, project context, and permissions remain specific to the host that runs them.

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Beyond code generation: A developer’s guide to agentic engineering

Writing code got faster. The work around it didn’t. See how you can plan, write code, review changes, and investigate production issues with GitHub Copilot, and what work still needs your judgment.

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How 3 Java Champions are using GitHub Copilot for increased productivity

Three Java Champions share how they use GitHub Copilot to solve problems, accelerate development, and keep humans responsible for the results.

How to continue a GitHub Copilot app session in VS Code

Learn how to move an agent session from the GitHub Copilot app into VS Code without losing the conversation, code changes, or working context.

Latest

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GitHub’s model for secret detection: Finding more secrets with less noise

GitHub’s context-aware secret classifier improves detection quality, raises weighted acceptance by 11.5%, and reduces median scan execution time by 86%.

GitHub Copilot app for Beginners: Teach Copilot your codebase

GitHub Copilot app for Beginners: How to teach Copilot about your codebase

Learn how to add custom instructions and skills to your repository, use custom agents, and connect MCP servers like Playwright.

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Secret protection must scale with software

Developers aren’t becoming more careless; they’re being outpaced. The tools that let developers create more software should also take on more of the work of protecting it.

ReviewBench: An open benchmark for AI code review

We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics.

AI is changing developer work. Here are three skills to strengthen.

Learn to direct AI agents, critically review their output, and keep technical judgment at the center of your workflow.

GitHub Copilot app for Beginners: Build custom AI surfaces

GitHub Copilot app for Beginners: How to build custom workflows with canvases

Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting work done.

When chat is the wrong UI

What is a developer to do when they need something more tangible than a chat box? Enter canvases.

AI-powered fuzzing with the GitHub Security Lab Taskflow Agent

In this blog post, I explain how to use the new fuzzing taskflow based on the GitHub Security Lab Taskflow Agent AI framework.

Rendering huge pull requests in the GitHub Copilot app

How we rebuilt the diff surface in the GitHub Copilot app to open a million-line pull request with hundreds of inline review comments.

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Should you read the code, is RAG dead, and did Skills kill MCP?

We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast.

Migrating the GitHub Copilot runtime to Rust, using Copilot

A rewrite this size wasn’t affordable before agents. Here’s what porting the Copilot agent runtime to 800,000 lines of production Rust actually took.

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Marketing ops as code: Automating events from planning to follow-up on GitHub

If you can write down how you do your work, you can automate it. Here’s what I did to support GitHub’s APAC marketing team.

GitHub Copilot app for Beginners: Stop switching tabs

GitHub Copilot app for Beginners: Using the diff, terminal, and browser

Checking agent-generated code usually means hopping between tabs. Learn how to view diffs, run terminal commands, and preview web apps side by side in the GitHub Copilot app.

Research preview: HydraFusion. Advanced runtime model orchestration in GitHub Copilot.

Project HydraFusion: Frontier quality via multi-model orchestration

In controlled offline evaluations, HydraFusion’s selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Now available as a research preview in GitHub Copilot.