ReviewBot - AI Code Review for GitHub

AI-powered code review for GitHub PRs. 100% consistent scoring, double-validated results. Free with your own API key.

ReviewBot - The World's Most Consistent AI Code Reviewer ReviewBot uses advanced AI (Claude Sonnet 4) combined with static analysis to provide accurate, consistent code reviews for GitHub Pull Requests. 🎯 KEY FEATURES: - 100% Consistent Scoring - Same code = same result, every time - Double-Validated Results - Advanced validation reduces false positives - Static Security Analysis - Instantly detects SQL injection, XSS, hardcoded secrets, and more - Letter Grades (GOD to F-) - Clear, intuitive feedback - 6 Review Templates - Comprehensive, Security, Performance, Educational, Brutal, Testing - Manual Posting - You control when reviews are posted (no spam) - Evidence-Based Feedback - Shows exact file, line number, and fix suggestions ⚡ HOW IT WORKS: 1. Navigate to any GitHub Pull Request 2. Click ReviewBot icon 3. Enter your Anthropic API key (one-time setup) 4. Choose review template 5. Click "Analyze PR" 6. Review the results in the popup 7. Click "Post to GitHub" when ready 💰 PRICING: - FREE with your own Anthropic API key - Costs ~$0.015 per review (~$1.50 for 100 reviews) - No subscription required - No data collection or tracking 🔒 PRIVACY & SECURITY: - Your API key is stored locally (encrypted by Chrome) - No data sent to our servers - 100% client-side operation - No analytics or tracking - Full privacy policy available 🎓 PERFECT FOR: - Individual developers reviewing PRs - Teams standardizing code review quality - Junior developers learning best practices - Open source maintainers managing contributions ⭐ WHY REVIEWBOT? Unlike other AI code review tools, ReviewBot uses proprietary validation techniques to ensure consistent, accurate results. Our advanced algorithms filter out false positives, giving you trustworthy reviews you can rely on. 📊 PROVEN ACCURACY: Tested on real-world codebases including React, Node.js, and production applications. Consistently achieves reproducible results. 🛠️ TECHNICAL DETAILS: - Uses Claude Sonnet 4 (Anthropic's latest model) - Optimized for consistency and accuracy - Static analysis for common vulnerabilities - Deterministic mathematical scoring - Supports all programming languages Need help or you have any features you wanna share? Contact us at [email protected]