What are the best AI tools for reviewing React code?
Start with React Hooks lint rules, TypeScript, and tests. Use React Doctor for a React diagnostic pass, or compare Greptile and CodeRabbit for pull-request review. Verify an AI finding before accepting its fix.
Run the project's tests, TypeScript checks, and React Hooks lint rules first. Those checks give an agent concrete failures to investigate. Add an AI reviewer when you need an explanation of a change across files; verify its proposed fix with a test or a reproducible example.
Baseline: React’s official Hooks lint rules.
Surveyed 8 September 2026
Review React code
Open in Tools →- 01GreptileDeveloper Tools
Consider it when a pull request depends on behavior elsewhere in the codebase. Its product focuses on reviewing changes with repository context.
Tradeoff: Repository access and generated review comments need to fit your team's permissions and review process. Context-aware review still cannot establish that a proposed fix is correct.
Alternative: For a local React health check before opening a pull request, start with React Doctor and the project's tests.
Product documentation - 02CodeRabbitDeveloper Tools
Consider it when you want automated feedback in the pull-request workflow, with related review options in the IDE and CLI.
Tradeoff: Judge it on findings that survive human review. Comment volume is not evidence that it found important defects.
Alternative: If you need to trace a change through a large repository, compare its findings with Greptile on the same change.
Product documentation - 03React DoctorDeveloper Tools
Start here for a React-focused diagnostic pass you can run before requesting a review. The project provides a CLI that scans React code and reports issues.
Tradeoff: A diagnostic score summarizes the tool's rules. It does not measure whether the page works for its users or whether a change satisfies the product requirement.
Alternative: Use a pull-request reviewer for discussion of cross-file changes, and browser testing for actual interface behavior.
Product documentation
A curated selection in editorial order. Use the fit and evidence to judge it for your task. Something missing?
What to look for
- 01Does it find a meaningful issue beyond the existing checks? React Hooks lint already checks dependency arrays and the Rules of Hooks.
- 02Can it explain how the changed lines affect their callers? A useful review focuses on the change while checking relevant code around it.
- 03Does it run where the code is written — editor, CLI, CI — or does it require pasting code somewhere else?
Common questions
- Can an AI reviewer replace a human React reviewer?
- Treat its findings as proposals to verify. A reviewer can miss a defect or suggest a change that breaks intended behavior. Ask for a reproduction or test, then check the result against the requirement.
- Do these work on Next.js and React Server Components?
- The better ones do, but check explicitly. Server Components changed which rules apply, and a reviewer trained on class components will flag correct code and miss real server/client boundary mistakes.
- Are they free?
- Many are open-source agent skills you drop into a repository at no cost beyond the model tokens they consume. Hosted review services charge per seat or per repository.
Head-to-head
More in Write better software
- Review any codebaseGive an agent a repeatable, high-signal engineering review process.
- Generate and improve testsAdd meaningful coverage, reproduce failures, and keep regressions out.
- Review code for securityFind vulnerable patterns and validate remediations before shipping.
- Turn an API into a CLIGenerate a usable command-line interface from APIs and documentation.
- Debug production failuresGive agents logs, traces, errors, and the context needed to diagnose incidents.