For the latest updates and improvements in production, open docs.codacy.com instead.
GitHub integration#
The GitHub integration incorporates Codacy on your existing Git provider workflows by reporting issues and the analysis status directly on your pull requests.
When you add a new repository, Codacy sets the GitHub integration using the default settings for your organization. You can then customize the settings for the repository.
Configuring the GitHub integration#
To configure the GitHub integration, open your repository Settings, tab Integrations.
Depending on the options that you enable, Codacy will automatically update pull requests on GitHub with extra information when accepting pull requests.
Tip
You can apply the default Git provider integration settings to all repositories to ensure that your repositories all share the same settings.
Status checks#
Adds a report to your pull requests showing whether your pull requests and coverage are up to standards or not as configured on the quality gate rules for your repository. You can then optionally block merging pull requests that aren't up to standards.
Important
To get a status for coverage you must also:
- Add coverage to your repository
- Enable the rule Diff coverage is under or Coverage variation is under on the pull request quality gate.
Pull request review#
This feature is only available on paid plans
Note
This feature is only supported on GitHub.
When enabled, Codacy posts a Codacy's Analysis Summary comment on your pull requests each time a new analysis completes, giving you a full overview of code quality, security, complexity, and duplication metric changes, without requiring you to open the Codacy app.
Enable AI reviewer#
Note
If you enable the AI Reviewer, consider disabling AI-enhanced comments to avoid receiving duplicate comments on Codacy issues.
The AI Reviewer extends Pull request reviews with an AI-powered code analysis. It combines the reliability of deterministic, rule-based static code analysis with the enhanced context and prioritization capabilities of AI. It draws in the necessary context from PR metadata, Jira ticket if integration exists, source code, and Codacy data to ensure the business intent matches the technical outcome, and can catch logic gaps that conventional scanners (and human reviewers) often miss.
It provides feedback on missing or weak tests, complex or duplicated code, and keeps security concerns up to date. Beyond that, it adds contextual insights about whether the changes follow the requirements, business rules, and logic used in the project.
Configure when the AI Reviewer runs using the Run reviewer setting:
| Mode | Behaviour |
|---|---|
| Manually | Click Run Reviewer in the pull request comment or call our public API to trigger a review on demand. |
| Automatically (first review only) | Codacy runs the reviewer once automatically when the pull request is opened, then requires manual triggering for subsequent updates. |
Tip
Improve the AI Reviewer results by providing custom instructions. Learn how to do it here.
Issue annotations#
Adds annotations on the lines of the pull request where Codacy finds new issues. Codacy maps the severity of the issues reported by the tools to the severity levels of the annotations. To enable this option, you must enable Status checks first.
Issue summaries#
Shows an overall view of the changes in the pull request, including new issues and metrics such as complexity and duplication. To enable this option, you must enable Status checks first.
Coverage summaries#
Coverage summary is moving to Pull request review
In the coming weeks, Codacy will include coverage data in the Pull request review comment and remove the Coverage summary setting. Learn more.
Adds a pull request comment showing an overall view of the coverage metrics for the pull request, including details about the data that Codacy used to calculate the coverage variation and diff coverage metrics.
When there are new coverage results, Codacy updates the last coverage summary comment if it's included in the last 5 comments of the pull request. Otherwise, Codacy creates a new comment.
Important
To get coverage summaries you must also add coverage to your repository.
Note
This feature is only supported on GitHub and GitLab Cloud.
Suggested fixes#
This feature is only available on paid plans
Adds comments on the lines of the pull request where Codacy finds new issues with suggestions on how to fix the issues. Codacy doesn't apply any changes automatically. To apply the changes, manually review and accept the suggestions.
Tip
Enable also AI-enhanced comments to get ready-to-commit AI-generated fixes.
AI-enhanced comments#
AI-enhanced comments (Beta) is being deprecated on March 16, 2026
This feature is being replaced by the AI Reviewer, which provides a more accurate and comprehensive experience. Learn more.
Adds AI-enhanced comments, providing insights and ready-to-commit AI-generated fixes for identified issues in cases where tool-suggested fixes are not supported. To enable this option, you must enable Suggested fixes first.
Note
- This feature is compatible with most programming languages and requires no additional setup.
- Comments are generated using the description of the static analysis issue, information about the tool that detected the issue, and a few lines of surrounding code to provide the AI with extra context and improve its accuracy.
- This feature leverages the OpenAI API. No information is shared with other third parties or used to train AI models. Please refer to the OpenAI API data usage policies for more information.
See also#
Share your feedback 📢
Did this page help you?
Thanks for the feedback! Is there anything else you'd like to tell us about this page?
255 characters left
We're sorry to hear that. Please let us know what we can improve:
255 characters left
Alternatively, you can create a more detailed issue on our GitHub repository.
Thanks for helping improve the Codacy documentation.
Edit this page on GitHub if you notice something wrong or missing.
If you have a question or need help please contact support@codacy.com.