RepoReview
RepoReview

AI code review that understands your repository.

Review pull requests with repository-wide context instead of analyzing only changed lines.

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GitHub Integration
Repository Context
AI-Powered Reviews
Pull Request #142auth-service
Add authentication middlewareFiles changed: 4
+ export function validateUser(req: Request)+ export async function handleSession()
Repository Context
Relevant context retrieved
auth.ts
session.ts
middleware.ts
database.ts
AI REVIEW: Potential issue detectedSeverity High

Session validation may allow an invalid token to reach the authorization layer. According to middleware.ts, requests missing the strict Bearer prefix are silently passed through.

HOW IT WORKS

From Pull Request to Intelligent Review.

Connect your GitHub repository once. Our AI builds context from your codebase and automatically reviews every pull request.

GitHub Connected
Vectorizing Codebase...
PR Diff
+
Repo Context
Intelligent Analysis
Pull Request #142
Reviewing ChangesAnalyzing 4 files against repo context...
Review Complete
87/100
1Critical
3Warnings
7Suggestions
auth.ts
+ validateUser(token)- getUserSession(req)
INTELLIGENT CODE REVIEW

See what your AI reviewer sees.

Go beyond line-by-line analysis. Your AI reviewer retrieves relevant context from your codebase to understand how every change fits into the bigger picture.

Add authentication middleware
RRepoReviewbot
Analyzing pull request...
Reading changed files
Retrieving codebase context
Generating review insights
src/middleware/auth.ts
1234
-const user = getUser(req)
+const token = req.headers.authorization
+const user = validateToken(token)
return next()
Review Findings
1 1

Security

Catch potential security problems and data leaks before merging.

Performance

Identify inefficient patterns and expensive database operations.

Code Quality

Improve maintainability with structural and readability suggestions.

Edge Cases

Spot unhandled exceptions and issues developers might overlook.

BUILT FOR BETTER CODE

Everything you need to ship with confidence.

A seamless combination of GitHub automation, deep repository context, and intelligent AI analysis designed to dramatically improve your code quality.

AI that understands your codebase.

Your review isn't limited to the lines changed in a pull request. Relevant repository context helps the AI understand how your changes fit into the larger system.

PR Diff
+
3
Context Files
Context-Aware Review

Catch security issues.

Surface potentially risky patterns and security-related issues before they make it into production.

Security92/100
Input validation
Token exposure risk

Automated reviews.

GitHub webhooks trigger the review pipeline automatically whenever a pull request is opened or updated.

Don't just find problems. Fix them.

Every finding explains what is wrong, why it matters, and how it can be improved with code snippets.

Problem identified
Suggested Fix:
+ const safeValue = sanitize(input);

Stay in your workflow.

Reviews are posted directly as comments on your existing GitHub pull request workflow. No context switching.

RRepoReviewjust now
BUILT FOR DEVELOPERS

Your code deserves a reviewer you can trust.

We utilize GitHub-native integrations, background processing queues, and context-aware RAG architecture to deliver reliable reviews without compromising your workflow.

GitHub AppSecure OAuth connection for scoped repository access.
Webhook EventReceives real-time PR open/update events.
Background JobInngest manages reliable async processing.
Pinecone Vector DBRetrieves relevant RAG context for the PR.
OpenRouter AIAnalyzes diff and context to generate review.
PR CommentAutomated review posted directly on GitHub.
GitHub App OAuth
Inngest Background Jobs
Pinecone Vector DB
OpenRouter AI

Connect only what you need.

Authentication and repository access are handled exclusively through the official GitHub App integration. We only request the exact scopes required to read pull requests and post review comments.

Built for reliable processing.

Long-running tasks like repository syncing and deep AI code analysis are executed safely in the background via Inngest. This ensures the review pipeline never drops a pull request due to standard HTTP timeouts.

Reviews with repository context.

Our Retrieval-Augmented Generation (RAG) architecture securely fetches only the codebase context necessary for the AI to understand the structural impact of your specific pull request diff.

Secure Server-Side Architecture.

All sensitive operations, webhooks, and third-party API integrations (GitHub, OpenRouter, Pinecone, Razorpay) are strictly processed server-side in our Next.js backend, keeping tokens and logic secure.

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What's included
  • Up to 5 AI reviews per month
  • Public and private repositories only
  • Community support
  • Priority support
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