GitHub Blog AI

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

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

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

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

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.

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.

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

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.

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

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