AI code review tools read each pull request and comment like a first reviewer. They flag likely bugs, security problems and broken team rules before a person looks. As of September 2026, the main choices are GitHub Copilot code review, CodeRabbit, Greptile, Cursor Bugbot, Claude Code Review and Codex code review.
They differ most in price model and depth, from a few cents of credits per review to about $25 for a deep multi-agent pass. The best way to choose is to replay pull requests whose bugs you already know, and see which tool catches them.
- If you already pay for Copilot, ChatGPT, or Claude Team or Enterprise, try its built-in reviewer first. Dedicated tools add more controls.
- Pricing comes per seat, per review credit or per token, so compare the cost per reviewed pull request.
- Each tool in the table reads a rules or config file from your repository. Start with three to five rules.
- Treat the bot as a first reviewer. A person still decides what merges.
- Trial two or three tools on past pull requests with known bugs before you buy.
What AI code review tools catch, and what they miss
A reviewer bot reads the diff plus some of the surrounding code. Most tools focus on correctness: logic errors, missed edge cases, unsafe input handling and changes that break a rule in your repository. Good ones also explain why a line is wrong and suggest a fix you can apply in a click.
They are weaker at intent. A bot cannot know that the feature itself is the wrong idea, or that a product decision changed last week. That part stays with you, and our method for reviewing AI-written code covers it.
They also do not replace deterministic scanners. Keep your linter, type checker, dependency audit and secret scanner in CI, as described in our security checklist for AI code. Then tell the review bot to skip what those tools already enforce.
AI code review tools compared (September 2026)
Prices and plans below were checked on each vendor’s own pages on September 23, 2026. They change often, so confirm before you buy.
| Tool | Works with | Price | Tune it with |
|---|---|---|---|
| GitHub Copilot code review | GitHub, Azure DevOps (preview) | In Copilot Pro ($10 a month) and up. Each review uses AI credits (about $0.05 to $1 on Lite effort, $0.25 to $5 on Balanced) plus GitHub Actions minutes | .github/copilot-instructions.md, AGENTS.md |
| CodeRabbit | GitHub, GitLab, Azure DevOps, Bitbucket | From $24 per developer a month billed yearly ($30 monthly). Free for public open-source repositories | .coderabbit.yaml, learnings taught in chat |
| Greptile | GitHub, GitLab | Free for one developer (50 credits a month). Pro $30 per seat with 50 credits each, then $1 per credit. A standard review uses 1 credit | .greptile/ folders or greptile.json |
| Cursor Bugbot | GitHub, GitLab, Bitbucket, Azure DevOps | Usage-based, drawing on a Cursor plan (Pro $20 a month, Teams $40 per user) | .cursor/BUGBOT.md |
| Claude Code Review | GitHub | Research preview for Claude Team and Enterprise. Averages $15 to $25 per review, billed on usage | REVIEW.md, CLAUDE.md |
| Codex code review | GitHub | Included from ChatGPT Plus ($20 a month) | AGENTS.md review rules |
Two more are worth a look. Qodo sells pooled review credits, from $30 a month for about 18 reviews, shared by up to 30 users. Graphite pairs stacked pull requests with AI reviews. Cursor agreed to buy it in December 2025, and it still runs as its own product. Its Team plan is $40 per user a month billed yearly.
The tools, one by one
Add Copilot as a reviewer, or turn on automatic reviews for a user, repository or organization. Choose Lite effort for fast feedback or Balanced for more depth. By default its reviews do not count toward required approvals.
Posts a summary and line comments on every pull request, and runs linters and security scanners alongside the model. You can teach it preferences by replying in chat. Plans cap reviews per developer per hour, from 5 on Essentials.
Indexes your repository so reviews can reason about code outside the diff. It learns from thumbs-up and thumbs-down reactions on its comments, and teams can self-host it on the Enterprise plan.
Reviews every pull request update, or on demand when someone comments bugbot run. Autofix can hand a finding to a Cursor cloud agent, which pushes a fix to the same branch or a new one.
Several agents look for different kinds of problem, then a verification step filters out false positives. Findings are tagged Important, Nit or Pre-existing, and the check never blocks a merge. Reviews take about 20 minutes on average.
Turn it on per repository in Codex settings, then comment @codex review or enable automatic reviews. On GitHub it flags only P0 and P1 issues, which keeps comment volume low.
How much do AI code review tools cost?
Three pricing models are in play, and they reward different habits.
Per seat. CodeRabbit and Graphite charge per developer, and each Greptile seat includes 50 review credits. Good when many small pull requests flow through a stable team.
Per review credit. Copilot and Qodo spend credits per review. Qodo’s smallest pack works out to about $1.67 a review.
Per token. Claude Code Review bills the tokens each review uses. At its $15 to $25 average, 200 pull requests a month would cost $3,000 to $5,000.
A sensible mix for many teams: a cheaper reviewer on every pull request, plus a deep review requested by hand for risky changes such as auth, payments or migrations. Claude’s manual mode and Codex’s comment trigger both support that pattern. Whatever you pick, set a monthly spend cap before you turn on automatic reviews.
How to trial AI code review tools on your own repository
Vendor demos show the bugs a tool catches best. Your own history shows the bugs your team actually ships. The fairest test replays past pull requests where you already know what went wrong.
Collect 10 to 20 known bugs
Look for reverts and fix commits that point at an earlier pull request. Each of those earlier changes shipped a bug that a reviewer could have caught.
Replay each change as a fresh pull request
In a private copy of the repository, recreate the change on top of the code it started from. For a squash-merged pull request, three commands do it:
Terminal git branch replay/base-1234 <merged-commit>^ git switch -c replay/pr-1234 replay/base-1234 git cherry-pick <merged-commit>Push both branches and open a pull request from
replay/pr-1234intoreplay/base-1234.Run two or three tools on the same set
Install each on the private copy only, with the same rules file content where the formats allow. Trigger a review on every replayed pull request.
Score what matters
For each tool, count the known bugs it caught, the other real problems it found and the comments that were wrong or useless. Add the review time and the cost.
Then try the winner on live work for two weeks
Track how many of its comments lead to a code change. That share, not the vendor’s benchmark, tells you whether the tool earns its place.
Want an agent that also fixes what the review finds? Our guide to running coding agents in CI shows how to wire one into GitHub Actions with safe permissions.
FAQ
Which AI code review tool is best?
There is no single winner. Built-in reviewers are the easiest start if you already pay for Copilot, ChatGPT, or Claude Team or Enterprise. Dedicated tools offer more tuning and platform choice. Replay your own known bugs to find the best fit for your code.
Are AI code review tools worth it for a small team?
Often, yes, because they review every pull request in minutes when no second person is free. Start with a free tier or a built-in reviewer, and keep it only if its comments regularly lead to real fixes.
Can an AI code reviewer approve pull requests?
By default, these tools comment and do not approve. Copilot has an optional approval feature in public preview that can count toward required approvals. Keep a person in charge of merges for anything that touches users, money or data.
How do I reduce noisy AI review comments?
Write a short rules file that says what matters and what to skip, exclude generated files, and leave style to your linter. Several tools also let you cap minor comments or react with a thumbs-down so they learn.
Read next: how to review AI-written code yourself, or securing AI-generated code.
- About GitHub Copilot code review, GitHub Docs, accessed September 2026
- GitHub Copilot plans, GitHub, accessed September 2026
- CodeRabbit pricing, CodeRabbit, accessed September 2026
- CodeRabbit quickstart, CodeRabbit documentation, accessed September 2026
- Configuration via YAML file, CodeRabbit documentation, accessed September 2026
- Learnings, CodeRabbit documentation, accessed September 2026
- Greptile pricing, Greptile, accessed September 2026
- What is Greptile?, Greptile documentation, accessed September 2026
- Customization overview, Greptile documentation, accessed September 2026
- Bugbot, Cursor documentation, accessed September 2026
- Cursor pricing, Cursor, accessed September 2026
- Code Review, Claude Code documentation, accessed September 2026
- Review GitHub pull requests with Codex, OpenAI, accessed September 2026
- Codex pricing, OpenAI, accessed September 2026
- Qodo pricing, Qodo, accessed September 2026
- Graphite pricing, Graphite, accessed September 2026
- Graphite is joining Cursor, Cursor, December 2025
- Sunset of the consumer version of Gemini Code Assist on GitHub, Google for Developers, accessed September 2026
- Review GitHub code using Gemini Code Assist, Google Cloud documentation, accessed September 2026
