Updated 24 September 2026
Best AI code review tools in 2026
Eight tools that use AI, or strict rules, to check code for bugs and security holes. The biggest difference between them is when they look at your code: before your coding tool makes changes, while you code, or after you open a pull request (the request to merge your changes). Prices and free plans below were checked on each vendor's own site on 24 September 2026.
What is AI code review?
AI code review means an AI model reads your code, or your plan for it, and points out what could go wrong: bugs, security holes, missing checks, risky choices. Automated code review is the wider idea. A tool checks code without a person starting each check. Older tools use fixed rules. AI tools read the code more like a person would.
How to do an AI code review
- Pick the moment. A plan can be checked before any code is written. Code can be checked while you work, or in a pull request before it goes live.
- Give it enough to read. Include the files your change touches, not one snippet. A reviewer cannot judge code it cannot see.
- Say what worries you. Logins, payments, user data and anything that deletes things deserve a careful look.
- Check each finding before you act. AI reviewers find real problems and also raise false alarms. We measured how accurate AI code review is on our own findings.
- Keep your tests. A review does not replace them. Each catches things the other misses.
AI code review tools compared
Ranked as numbered below. Scroll the table sideways on a phone.
| Tool | When it reviews | Where it runs | Price | Free option |
|---|---|---|---|---|
| MegaLens | Before changes start: plans and code | Inside your coding tool (Claude Code, Codex CLI, Cursor, Gemini CLI, Lovable) | Pro $15 a month. Model use: your own OpenRouter key, or credits | First review free. Then the Free plan with your own OpenRouter key, and you pay OpenRouter for model use |
| CodeRabbit | After you open a pull request, and in your editor or terminal | Pull requests on GitHub, GitLab, Azure DevOps and Bitbucket; VS Code, Cursor, Windsurf; command line | From $24 per developer a month, billed yearly | Free for public repositories; 14 day trial |
| Greptile | After you open a pull request; also lists a command line tool | Pull requests on GitHub, GitLab, Bitbucket and more | Pro $30 per seat a month, 50 review credits per seat | Yes: free Starter plan for one developer |
| Qodo | After you open a pull request, and before, in your editor | GitHub, GitLab, Bitbucket, Azure DevOps; an editor plugin; command line | Credit packs from $30 a month, shared by a team of up to 30 | 14 day trial; free program for open source projects |
| PR-Agent | After you open a pull request, or when you run it | GitHub Action, GitLab, Bitbucket, Azure DevOps; command line | Free open source software. You pay your AI provider | Yes: the software is free |
| Bito | After you open a pull request, and in your editor or terminal | GitHub, GitLab, Bitbucket; VS Code, JetBrains, Cursor, Windsurf; command line | Team from $12 per seat a month billed yearly ($15 monthly), 5,000 lines per seat included | 14 day trial of the Professional plan |
| SonarQube | On every pull request, as you type in your editor, and from the command line | SonarQube Cloud or your own server; free editor extension; command line tool | Cloud Team from $34 a month; Gitar AI Code Review $20 per user a month, billed yearly | Yes: free for private projects up to 50,000 lines of code |
| Snyk Code | Security checks as you code and in your code host | Your editor, the command line and your code host | Team from $25 a month | Yes: 100 Snyk Code tests a month |
Prices are in US dollars and can change. Check the vendor's page before you buy. Source links are at the end of this page.
1. MegaLens (shameless plug)
We make MegaLens, so of course it's first. Here is what it does and does not do, so you can judge for yourself.
A second opinion from other AIs, before your AI coding tool changes your app.
Why vibe coders like it
- Works where you build. Lovable, Cursor, Claude Code, Codex CLI and Gemini CLI.
- Checks your plan before coding. Not only the finished code.
- Several AIs, not one. MegaLens picks AIs from different companies and shows where they disagree. That is often where a bug is.
- First review free. No card, no key. Pro is $15 a month plus AI use.
Dogfooding: we build MegaLens with MegaLens
We use MegaLens on our own product and publish what happened.
What it is not
- Not a pull request bot. Pair it with one of the tools below if your team uses pull requests.
- Not always right. We publish a time our review got it wrong and how accurate AI code review is.
Try one free review or read the setup guide.
From here on, tools are ranked on their merits for a solo builder or small team: a free way to start, where the tool runs, and how clear the price is.
2. CodeRabbit
CodeRabbit reads each pull request and leaves review comments on it, with fixes you can apply in one click. It also has extensions for VS Code, Cursor and Windsurf, and a command line tool, so you can get a review before you open a pull request too.
- When it reviews
- After you open a pull request, and while you code in your editor or terminal.
- Where it runs
- Pull requests on GitHub, GitLab, Azure DevOps and Bitbucket. VS Code, Cursor and Windsurf. A command line tool.
- Price
- Essentials $24 per developer a month, Team $48, Advanced $72, all billed yearly. Enterprise is custom.
- Free option
- Free forever for public repositories. Every paid plan has a 14 day free trial with no card.
- Best for
- Teams that work through pull requests and want a review on every one, on most code hosts.
- Website
- coderabbit.ai
3. Greptile
Greptile reviews each pull request with context from the rest of your codebase. Its docs say it posts its findings as pull request comments, with suggested fixes, in about 3 minutes. A button can send an issue straight to a coding agent to fix.
- When it reviews
- After you open a pull request. Greptile also lists a command line tool on its site.
- Where it runs
- GitHub, GitLab and Bitbucket. The Enterprise plan adds Gitea and running it on your own servers.
- Price
- Pro is $30 per seat a month with 50 credits per seat. A standard review uses 1 credit. Extra credits are $1 each.
- Free option
- Starter is free for one active developer, with 50 credits a month. Pro has a 14 day trial. Free for qualified non commercial open source projects.
- Best for
- Solo developers who want a free pull request reviewer, and teams with large codebases.
- Website
- greptile.com
4. Qodo
Qodo reviews pull requests and also works in your editor and from the command line, so you can check code before it reaches a pull request. You can set your own review rules. It is priced by credits: a bigger review uses more of them.
- When it reviews
- After you open a pull request, and before, in your editor.
- Where it runs
- GitHub, GitLab, Bitbucket and Azure DevOps. An editor plugin. A command line tool.
- Price
- Pro Team credit packs from $30 a month (2,500 credits, which Qodo puts at about 18 reviews), at $0.012 a credit, shared by up to 30 users. Enterprise is custom.
- Free option
- A 14 day free trial with no card. There is no free plan after that. Qualified open source projects can apply for free access.
- Best for
- Teams that want one tool across pull requests and the editor, and like paying for use rather than per seat.
- Website
- qodo.ai
5. PR-Agent
PR-Agent is free, open source software (MIT license) that reviews pull requests. It started at Qodo and is now run by its community. You set it up yourself, for example as a GitHub Action, and give it your own AI provider key.
- When it reviews
- After you open a pull request, or whenever you run it from the command line.
- Where it runs
- GitHub (as a GitHub Action), GitLab, Bitbucket, Azure DevOps, and the command line.
- Price
- The software is free. You pay your AI provider for what it uses.
- Free option
- Yes. It is open source.
- Best for
- People who are happy to do a little setup and want full control of the AI model and the cost.
6. Bito
Bito's AI code review agent reviews pull requests and also works in your editor and from the command line. It learns from your feedback on the Professional plan.
- When it reviews
- After you open a pull request, and while you code.
- Where it runs
- GitHub, GitLab and Bitbucket. VS Code, JetBrains editors, Cursor and Windsurf. A command line tool.
- Price
- Team $12 per seat a month billed yearly, or $15 monthly, with 5,000 lines per seat a month included, then $5 per 1,000 lines. Professional $20 per seat a month billed yearly, or $25 monthly.
- Free option
- The Professional plan has a 14 day free trial with no card.
- Best for
- Teams that want reviews in both the pull request and the editor at a lower seat price.
- Website
- bito.ai
7. SonarQube
SonarQube is an automated code review tool. It checks code for bugs, security holes and risky spots in more than 30 languages on every pull request, and a free editor extension (SonarQube for IDE) shows problems as you type. A command line tool runs the same checks from a terminal. Sonar now also sells Gitar AI Code Review, which reviews pull requests with AI and writes fixes.
- When it reviews
- On every pull request, in your editor as you type, and from the command line.
- Where it runs
- SonarQube Cloud, or SonarQube Server on your own machines. Works with GitHub, GitLab, Bitbucket and Azure DevOps.
- Price
- SonarQube Cloud Team from $34 a month. Gitar AI Code Review $20 per user a month, billed yearly. Server editions are priced by lines of code.
- Free option
- Free for private projects up to 50,000 lines of code, with no card and no end date. The editor extension is free. Public open source projects get both products free.
- Best for
- Anyone who wants a code quality and security scanner next to an AI reviewer.
- Website
- sonarsource.com
8. Snyk Code
Snyk Code is a security scanner rather than a general reviewer. It looks for security holes in your own code, and the wider Snyk platform also checks the packages you depend on.
- When it reviews
- As you code, and when code reaches your code host.
- Where it runs
- Your editor, the command line and your source code host.
- Price
- Team from $25 a month for up to 10 developers. Enterprise is priced by credits.
- Free option
- Yes. The free plan includes 100 Snyk Code tests a month and 5 projects.
- Best for
- Anyone whose main worry is security, as a second check next to a code reviewer.
- Website
- snyk.io
Where MegaLens is different, and where it is not
Only facts you can check, compared with three pull request reviewers from the list above. Where a competitor has the same thing, the table says so.
| MegaLens | CodeRabbit | Greptile | Qodo | |
|---|---|---|---|---|
| Where the review happens | Inside your coding tool, when it asks for a review | Pull requests, plus editor extensions and a command line tool | Pull requests (it posts comments on them); also lists a command line tool | Pull requests, plus an editor plugin and a command line tool |
| Uses several AI models | Yes, models from different companies, named in each result | Yes, it says it uses several models, each on the task it suits best | Yes, it says it uses models from OpenAI and Anthropic | Not listed |
| Shows you where the models disagreed | Yes. Disagreements are kept, not averaged into one answer | Not listed | Not listed | Not listed |
| Checks a written plan before code exists | Yes. Plan review is one of its review types | Has a planning feature (CodeRabbit Plan) that writes and refines coding plans from issues | Its docs describe pull request review | Lists review skills for before a pull request on its pricing page |
| Use your own AI key | Yes, on the Free plan (an OpenRouter key) | Not listed on its pricing page | Not listed on its pricing page | Enterprise plan only |
| How you pay | Per account. Model use is paid by your own key or by credits | Per developer | Per seat, plus extra credits at $1 each | Credit packs shared by the team |
| Free way to start | First review free, no card, no key | Free for public repositories | Free Starter plan, one developer | Trial only, or the open source program |
“Not listed” means we did not find it on the vendor page named in the sources below, on 24 September 2026. It may exist elsewhere. For MegaLens, each row describes what the product does today.
How to choose an AI code review tool
Before the change, or after the pull request?
Most tools on this list review a pull request: the change is already written, and the tool comments on it before it merges. That is a good last check, and it works for a whole team. A tool like MegaLens works earlier. It checks a plan or a change inside your coding tool, before the change is made.
You do not have to pick one. A check before the change and a review on the pull request look at different moments, so you can use both.
Other questions to ask
- Where is your code? Check that the tool supports your code host (GitHub, GitLab, Bitbucket, Azure DevOps) or your coding tool.
- How is it priced? Per developer, per seat, by credits or by use. For one person, compare a free plan or a use based price with a per seat price.
- Do you need security checks? A security scanner such as SonarQube or Snyk Code can run next to an AI reviewer.
- Can you test it on known bugs? Try each tool on code where you already know the problems. Count the real bugs it finds and the false alarms it raises.
Tools we left off
MegaLens runs inside Claude Code, Codex, Cursor, Gemini CLI and Lovable, and GitHub Copilot is coming soon. Several of them have review features of their own. Graphite, a pull request review tool, is now part of Cursor. We work with all of them, so we do not rank them here.
Questions people ask
What is AI code review?
AI code review is when an AI model reads code, or a plan for code, and points out bugs, security holes and risky choices before they reach your users. Some tools do it on every pull request. Others do it inside your coding tool, before changes are made.
How do you do an AI code review?
Pick the moment: a plan before coding, code while you work, or a pull request before it merges. Give the reviewer the files the change touches, not just one snippet. Say what worries you, such as logins or payments. Then check each finding yourself before you change anything, because AI reviewers also raise false alarms.
What is the best AI for reviewing code?
It depends on when you want the review. For reviews on every pull request, CodeRabbit, Greptile and Qodo all do this. For a check before your coding tool makes changes, MegaLens runs inside the tool. For security, add a scanner such as Snyk Code or SonarQube.
Is there a free tool for AI code review?
Yes. CodeRabbit is free for public repositories. Greptile has a free plan for one developer. PR-Agent is free open source software that uses your own AI key. SonarQube has a free plan for private projects up to 50,000 lines and a free editor extension. Snyk has a free plan. MegaLens gives you one free review, then works on its Free plan with your own OpenRouter key.
What is automated code review?
Automated code review means a tool checks code without a person starting each check. Older tools use fixed rules. AI tools read the code more like a person would. Both usually run on every pull request, and some run in your editor too.
Can ChatGPT do a code review?
Yes, for small pieces of code. Paste the code and ask what could go wrong. When you share only a snippet, it can miss problems in files you have not shared. Check what it says before you change anything.
Should I review code that AI wrote?
Yes. AI coding tools write working code fast, but they can miss security holes and edge cases, and tests do not catch everything. A second review, by a person or another tool, gives you another chance to catch them.
Is AI code review accurate?
Not always. AI reviewers find real problems, and they also report problems that are not real. We measured this on our own findings and published the result, including how many did not hold up. Read how accurate AI code review is.
Sources
Every price, free plan and platform above was read on these pages on 24 September 2026. MegaLens details come from our own product.