
Copilot code review: Customization for all
Copilot code review now supports the same custom instructions used by Copilot Chat and coding agent—unlocking personalized, consistent AI reviews across your workflow.
Copilot code review now supports the same custom instructions used by Copilot Chat and coding agent—unlocking personalized, consistent AI reviews across your workflow.
You can now save and evaluate multi-turn conversations in the GitHub Models prompt editor and evaluations tooling! Until now, the evaluations tooling only supported a single user prompt. With this…
The GitHub MCP Server allows AI tools like GitHub Copilot in VS Code and Visual Studio, Claude Desktop, and others to seamlessly access live GitHub context and tools—like issues, pull…
We’ve enhanced scheduled reminders for Slack and Microsoft Teams to give you more control and ensure you’re focused on what matters most. These updates include: Receiving reminders for up to…
CodeQL can now access private dependencies stored in private registries for Go projects. This makes your scans more comprehensive, helping to ensure you receive all important alerts regardless of where…
Our best practices for quickly identifying, resolving, and preventing issues at scale.
You can now assign teams as the app managers of some or all of your organization’s GitHub Apps. The App Manager role has been converted to a standard organization role,…
Learn how to use GitHub Copilot to help review and polish your code.
You can now run prompt evaluations from the command line using the new gh models eval command. This evaluates prompts defined in a .prompt.yml file using the same built-in evaluators…
Evaluators are like continuous integration for your AI. They help you catch quality issues early and keep outputs aligned with your goals. Today, GitHub Models is adding two new scoring…
We have improved the metrics for CodeQL pull request alerts and Copilot autofixes on the security overview dashboard. This change enables you to gain a better understanding of how Copilot…
CodeQL, the static analysis engine that powers GitHub code scanning, can now analyze C/C++ projects without needing a build. This capability is in public preview and enables organizations to more…
GitHub Enterprise Server (GHES) 3.17 enhances deployment efficiency, monitoring capabilities, code security, and policy management. Here are a few highlights in the 3.17 release: GitHub Advanced Security (GHAS) is now…
Repository collaborators are now generally available for use with Enterprise Managed Users (EMUs). This enables the “outside collaborator” access pattern for EMUs, letting you add users to a repository without…
Delegated alert dismissal allows you to require a review process before dismissing a secret scanning alert. Previously, only organization owners and security managers had permission to review these requests. Now…
Dive into the novel security challenges AI introduces with the open source game that over 10,000 developers have used to sharpen their skills.
We’ll decode these two tools—and show you how to use them both to work more efficiently.
You can now define a required JSON schema directly in the prompt editor UI, just like in the Models playground. This helps ensure model responses follow a consistent structure, reducing…
Sharpen your skills, test out new tools, and connect with people who build like you.
Today’s engineering teams struggle with fragmented knowledge. Having critical context scattered across code, documentation, and inside of team members’ heads can make it hard to get up to speed in…
Get insights on the latest trends from GitHub experts while catching up on these exciting new projects.
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