GitHub Code Quality
Abdul Rafay
GitHub Code Quality
GitHub Code Quality
GitHub Code Quality surfaces findings in pull requests with reviewable fixes before merge, then helps you enforce consistent standards with Rulesets.
67% of findings come with an AI-generated fix suggestion1
70% of findings on complex pull requests fixed the same day2
50% smaller repository backlogs within six months of enabling Code Quality3
Stay in the workflow
GitHub Code Quality surfaces findings directly in pull requests, so developers don’t have to switch to a separate dashboard.
Fix issues as you review
Each finding includes a reviewable fix developers can apply before merging.
Reduce backlog and ship faster
Spend less time triaging quality issues and more time reviewing and shipping fixes.
Detection built for AI-era code
Deterministic CodeQL analysis catches what rules handle. AI-assisted detection catches what they miss. Together they keep pace with code your developers generate faster than any rule library grows.
Fix at the source
Your developers do not open a dashboard. They open a pull request. Copilot Autofix suggests the fix right there. They review, edit, or dismiss it. Nothing merges on its own.
One standard, no matter who or what writes the code
The same Rulesets govern the code your developers write, the findings Copilot code review returns, and the pull requests your coding agents open. Quality and security, one workflow.
Coverage where quality lives
Code Quality renders your existing coverage reports in Cobertura XML format and gates merges on your thresholds through Rulesets. One policy surface, one less vendor to manage.
Code Quality
Quality in the pull request, governance across your organization.
$10USDper committer / month + usage
What's included
Hybrid detection (deterministic CodeQL plus AI-assisted)
Autofix in the pull request
Rulesets quality gates, coverage thresholds, and merge protection
Maintainability and reliability scoring
Coverage ingestion (Cobertura XML)
Organization-wide deployment, dashboards, and APIs
$10 USD per committer / month plus usage-based billing for AI features and Actions minutes. Public repositories: $0 per committer + usage-based billing for AI-powered work. Available on GitHub Enterprise Cloud and GitHub Team.
Frequently asked questions
How much does Code Quality cost?
$10 per committer per month, plus usage-based billing for AI-powered work. Deterministic CodeQL scans use GitHub Actions minutes. Public repositories carry no per-committer charge, with usage-based billing for AI-powered capabilities.
Which languages does Code Quality support?
Java, JavaScript, TypeScript, Python, Ruby, C#, and Go.
Do I need another tool for test coverage?
No. Code Quality renders coverage reports from your existing test tooling in Cobertura XML format, then gates merges on your thresholds through Rulesets. It reads your coverage; it does not instrument your tests.
How is this different from GitHub Advanced Security?
GitHub Advanced Security covers security: Code Security finds vulnerabilities, and Secret Protection finds exposed credentials. Code Quality covers maintainability, reliability, and coverage, and the two disciplines work together. Quality issues are where vulnerabilities can hide, so cleaner code gives your security team less to reason about. Code Quality and Code Security run on the same CodeQL engine, and both report through one Security and quality overview.
Does Code Quality work with Copilot code review?
Yes, as integrated-but-separate experiences. Copilot code review gives your developers in-context feedback while they author, and its comments are ephemeral. Code Quality gives your leaders persistent findings, enforceable gates, and reporting across repositories and time. Both appear in the pull request.
Is Code Quality a compliance product?
No. Code Quality supports internal governance and developer workflow. It is not attestation against a regulatory standard or audit framework.
Can I govern quality across my whole organization?
Yes. Deploy Code Quality organization-wide with dashboards, bulk actions, APIs, and repository- and org-level scoring.
Where can my team learn to set it up?
The GitHub Code Quality learning pathway walks through enabling checks, setting rulesets, fixing findings with Autofix, and reading the dashboards. Start the pathway .
Footnotes
GitHub internal analysis of 1.3M CodeQL findings on Code Quality–enabled repositories, 90 days ending June 2026. Fix suggestions are developer-reviewed in the PR, not auto-applied.
GitHub internal analysis of 228K fixed findings in the top quartile of GitHub's PR complexity score, 90 days ending June 2026. 82% are fixed within 24 hours.
GitHub cohort analysis of repositories enabled October 2025 (n = 2,254 at month seven). Per-repo decline in unresolved findings. Correlation, not a controlled outcome.
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Posted Jul 26, 2026
GitHub Code Quality — surface findings in PRs with reviewable AI fixes, enforce rulesets, and reduce backlog with AI-assisted detection and fixes.
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