Tools / CodeRabbit
CodeRabbit
AI Code Review · Evaluated by Moneda AI
Engineering teams that want AI code review directly in pull requests
CategoryAI Code Review
FromFree for open-source repositories; free IDE reviews subject to rate limits
Best forEngineering teams that want AI code review directly in pull requests
Wins1 of 3
What it’s for
- Automated pull request review comments
- Code quality and bug risk checks
- GitHub and GitLab workflow integration
Pricing
- Free for open-source repositories; free IDE reviews subject to rate limits
- Pro: $24/user/month billed annually, $30/user/month monthlychecked 2026-08-25 · docs.coderabbit.ai
- Pro Plus: $48/user/month billed annually, $60/user/month monthlychecked 2026-08-25 · docs.coderabbit.ai
Job fit, data protection, and security
Sourced entity notes for buyers who need more than a feature list. Claims link to vendor docs — re-check before regulated or privileged use.
Deploymentcloud · self-host
Job fit
- fitcoding
Strong fit for teams and open-source maintainers that use review-centric development workflows. CodeRabbit adds context-aware AI review across pull and merge requests, IDEs, and CLI workflows, with free reviews available for public open-source repositories.
Data protection
GDPR compliant, and Data Processing Addendum (DPA) available.
- Training on customer data
- Cached data is encrypted, expires automatically, and is never used for training. CodeRabbit offers an opt-out of data storage.Sourcechecked 23 Aug 2026
Security
Industry-standard security program with technical and organizational measures. Security architecture designed for resilience and data safeguarding.
Certifications / controlsSOC 2 Type IIchecked 23 Aug 2026
Trust / security sourceWould not choose if
- You primarily need an AI assistant for writing and editing code rather than reviewing it.
- Your team does not run a review-centric workflow — pull or merge requests, IDE review, or CLI review.
Where CodeRabbit appears — and how it did
CodeRabbit adds AI-assisted review to pull and merge requests, and to IDE and CLI review, helping teams catch issues faster and improve review throughput.