GitHub Code Quality is now generally available 🚢 #201460
ebndev
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Is there any free option to only see test coverage UI without AI with your own tooling that uploads the report, especially for free/open source repositories? |
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GitHub Code Quality is now generally available on GitHub Enterprise Cloud and GitHub Team.
AI is helping your team ship code faster than ever. Code Quality helps make sure you can trust it. It pairs CodeQL's deterministic analysis with AI-assisted detection to catch maintainability and reliability issues right in your pull requests—and Copilot Autofix suggests a fix you can review before you merge. The feedback shows up where you already work, not in a separate dashboard you have to remember to check.
And it moves the needle: across GitHub's own engineering organization, teams resolve 67.3% of Code Quality findings before merging their pull requests.
Who this is for
Developers and engineering teams who want in-context feedback on the quality of their code, and the leaders who want to see and improve maintainability and reliability across the org without slowing anyone down.
What's new since the public preview
More than 200,000 repositories ran Code Quality during the public preview, and your feedback shaped what shipped for GA:
How it works
What it costs
Code Quality is a standalone paid product. It isn't available on GitHub Enterprise Server at launch. You pay a predictable base license plus metered usage:
Billing begins automatically at general availability on July 20, 2026. See the GitHub Code Quality billing docs for the full breakdown.
If you used Code Quality in the public preview
There's nothing to migrate or reconfigure. Code Quality keeps running on the agreement you already have, now as a paid product. Since billing is now in effect, review where you have Code Quality enabled. To stop future scans and charges, disable it for a repository or organization.
Go deeper with the learning pathway
Want to get more value from GitHub Code Quality? The Code Quality learning pathway shows how to use quality insights, automation, and governance controls to improve maintainability, reliability, and engineering effectiveness across the SDLC.
Learn more
We'd love to hear how Code Quality is working for your team. Drop your questions, feedback, and what you'd like to see next in the comments below.
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