CodeRabbit wins for pull-request-first review with the fastest setup and the widest platform reach, GitHub Copilot wins if you'd rather not add another subscription and already have Copilot for coding, and Sourcegraph Amp wins for teams that want review folded directly into an edit-and-fix loop instead of a separate pass. AI code review sits next to, not instead of, an AI coding agent: something still has to catch what the agent (or a human) missed before it merges.
If you're also choosing the tool that writes the code in the first place, see our Best AI Coding Assistant guide — this one is specifically about reviewing what's already in the pull request.
The three, in one line each
CodeRabbit attaches directly to pull requests on GitHub, GitLab, and other major platforms, posting a summary plus inline comments, and now also runs inside VS Code, Cursor, and other IDEs before a PR even opens.
GitHub Copilot ships an agent-mode code review feature alongside its autocomplete and chat, which is the lowest-friction option if your team is already standardized on GitHub and paying for Copilot anyway.
Sourcegraph Amp is built around a fast loop between codebase context, edits, and terminal commands, so review feedback shows up close to where the fix happens rather than as a separate, later step.
Where each one actually wins
CodeRabbit rewards teams that want a dedicated review layer with almost no setup: connect the repo, and PRs start getting summaries and inline comments immediately, independent of which tool wrote the code. GitHub Copilot rewards teams optimizing for fewer vendors and lower total cost, since review comes bundled with the coding assistant most of them already have. Sourcegraph Amp rewards a tighter feedback loop for teams that would rather fix an issue the moment it's flagged than context-switch back into a PR thread later.
A pattern we see often: CodeRabbit as the standing reviewer on every pull request regardless of who or what wrote it, with GitHub Copilot or Sourcegraph Amp used for the immediate back-and-forth while a change is still being written.
Quick comparison
| Tool | Starting price | Core job | Best fit |
|---|---|---|---|
| CodeRabbit | Free tier available | PR-first automated review | Dedicated review layer, fastest setup |
| GitHub Copilot | From $10/mo | IDE assistant + agent-mode review | Teams already paying for Copilot |
| Sourcegraph Amp | Usage-based | context-aware edit-and-review loop | Fixing issues the moment they're flagged |
Which one should you use?
Start with CodeRabbit if you want review on every pull request with the least setup, regardless of what wrote the code. Use GitHub Copilot if your team already has it and wants review without adding a new tool. Pick Sourcegraph Amp if the priority is closing the loop between a flagged issue and a fix, not just leaving comments on a PR. Many teams run CodeRabbit as the baseline and layer in one of the other two for faster iteration on the harder changes.
FAQ
Does AI code review replace a human reviewer? No, especially for business logic, security-sensitive changes, and anything with real product judgment involved. It's best used to catch the mechanical issues — missed edge cases, style drift, obvious bugs — so a human reviewer can spend their time on the things that actually need judgment.
Is AI code review only useful for AI-generated code? No. All three tools review pull requests regardless of whether a human or an agent wrote the code, and teams that generate more code with AI coding agents tend to need review even more, not less.
Which is cheapest for a small team? CodeRabbit's free tier is the easiest way to try automated review before paying for anything, and GitHub Copilot's $10/month tier is the cheapest option if you also need a coding assistant.
Can these tools catch security issues, not just style problems? CodeRabbit and GitHub Copilot both flag common security patterns (hardcoded secrets, injection risks, unsafe dependencies) in addition to style and correctness feedback, though none of the three replace a dedicated security scanner for a codebase with real compliance requirements.
Related guides
- Best AI Coding Assistant in 2026
- Best Autonomous AI Coding Agent in 2026
- Claude Code vs Cursor vs Codex vs GitHub Copilot in 2026
- Explore Coding & Dev tools
*Ratings and pricing reviewed monthly. Last updated August 2026.*
Bogdex · Founder & editor, woska
Bogdex builds and curates woska, testing AI tools against real workflows to judge which ones actually save time rather than which have the longest feature list.