CodeRabbit vs Capy: AI Code Review Compared
Contents
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CodeRabbit is a dedicated AI code review service that integrates with GitHub and GitLab to review pull requests automatically. Capy is a full AI development platform with a built-in Review Agent. They solve different problems — one reviews code written by anyone, the other writes code and reviews it in one closed loop.
TL;DR
- CodeRabbit reviews all PRs in your repo regardless of who wrote them. 40+ linters, 13 million PRs reviewed, deep static analysis.
- Capy's Review Agent works on any PR — and for Capy-generated PRs, it routes findings directly to Build agents for automated fixing.
- CodeRabbit is a standalone review tool. Capy is review + automated fixing in one platform.
What is Capy?
Capy is an AI-native IDE for parallel development. It includes a Review Agent that works on any PR in your GitHub repo — human-written or AI-generated.
Capy's Review Agent examines every PR for bugs, security vulnerabilities, and code quality issues. On Capy-generated PRs, it goes further: it routes findings directly to the Build agent for automated fixes, then re-reviews the updated code. This closed loop means issues get resolved without manual intervention.
What is CodeRabbit?
CodeRabbit is a standalone AI code review tool that automates PR reviews on GitHub and GitLab. Install it, and it posts line-by-line review comments on every pull request — identifying bugs, security issues, and style problems.
CodeRabbit integrates 40+ linters and SAST tools alongside LLM-based analysis, and offers an interactive chat for discussing changes. It reports 2 million+ repositories and 13 million PRs reviewed. Pricing starts free for basic summaries, with Pro at $24/month per developer. The core limitation: CodeRabbit can only comment on problems — it can't fix them.
"The best code review doesn't just find problems — it fixes them. That's only possible when review and execution live in the same system."
Head-to-head comparison
| Feature | CodeRabbit | Capy Review Agent |
|---|---|---|
| Primary function | Standalone code review | Review built into AI dev platform |
| PR integration | GitHub, GitLab | GitHub (via platform) |
| Review scope | All PRs from any source | All PRs + auto-fix on Capy PRs |
| Line-by-line comments | Yes | Yes, with finding triage system |
| Static analysis | 40+ linters and SAST tools | LLM-based analysis with context |
| Interactive chat | Yes (on PRs) | Yes (feedback loop with Build agent) |
| PR summaries | Yes | Yes |
| Fix implementation | Suggests fixes | Routes findings to Build agent, auto-fixes |
| Also writes code | No | Yes (Build agent) |
| Also plans work | No | Yes (Captain agent) |
| Pricing | Free / $24/mo per dev | Included in Capy plans (Pro from $20/mo) |
Where Capy wins
Closed-loop fixing. When Capy's Review Agent finds an issue on AI-generated code, it routes findings directly to the Build agent for a fix — then re-reviews the updated code. CodeRabbit can suggest fixes, but the actual implementation still requires human action or a separate tool.
Full context. Capy's Review Agent reviews code written by an agent it shares context with. It knows the task spec, the planning decisions, and the intended behavior. CodeRabbit sees the diff and the repo — it doesn't know why changes were made.
Review included in every plan. Capy's Review Agent comes built into the platform — no separate per-reviewer fee on top of your seat cost. CodeRabbit's Pro plan at $24/dev/month is a separate charge just for review.
Write and review in one place. If you're using Capy for development, the review step is seamless. No separate tool to configure, no additional GitHub app to install.
Where CodeRabbit wins
Multi-platform support. CodeRabbit works on GitHub and GitLab. Capy's Review Agent currently supports GitHub only.
Static analysis integration. 40+ linters and SAST tools run alongside LLM-based review. Useful if your team relies on specific static analysis rules.
Low setup cost. Install CodeRabbit on your repo and it starts reviewing. No workflow changes required — though you're limited to comments, not fixes.
Who should use what?
Use Capy if:
- You want AI review on any PR with automated fixing on AI-generated code
- You want code review included in your development platform, not charged as a separate per-reviewer add-on
- You're on GitHub
- You value the closed loop: review → fix → re-review without context switching
Use CodeRabbit if:
- You need GitLab or Bitbucket support (Capy is GitHub only)
- You specifically want 40+ linter integrations alongside LLM review
- You're committed to a review-only tool and don't need the fix loop
Frequently Asked Questions
Does CodeRabbit fix the issues it finds?+
How much does CodeRabbit cost compared to Capy?+
Review that actually fixes things.
Capy's Review Agent doesn't just find issues — it routes them to Build for automated fixing.
