ReviewBot Protocol

AI-powered GitHub PR reviews with automated code analysis and intelligent feedback

Note: No live deployment due to the sensitive nature of this project

What Is This?

ReviewBot Protocol is a full-stack AI code review system that automatically analyses GitHub pull requests and provides intelligent feedback. Think of it as understanding how tools like CodeRabbit work by building one from scratch.

The system catches common issues before human reviewers need to look at the code, saving development time and improving code quality through automated analysis. Built for the Codecademy Generative AI & Agents bootcamp.

Technical Stack

Frontend: Next.js 15, TypeScript, Tailwind CSS
Backend: FastAPI (Python 3.11+), SQLAlchemy
AI Integration: LangChain, LangGraph, OpenAI GPT-4o
GitHub: GitHub API v3/GraphQL, OAuth, Webhooks
Database: PostgreSQL/SQLite

Why This Is Useful

Time Savings

Automated reviews catch security vulnerabilities, performance issues, and code quality problems instantly

Learning Through Building

Demonstrates how modern AI-powered developer tools work under the hood

Real-World Application

Shows integration of multiple complex systems working together in practice

Key Features

Automated PR Reviews

GitHub webhook integration triggers automatic analysis when PRs are opened or updated

AI-Generated Comments

Intelligent inline comments posted directly to pull requests

Security Analysis

OWASP Top 10 vulnerabilities, secret detection, dependency analysis

Performance Review

Algorithm complexity, memory usage, optimization suggestions

Custom Dashboard

Review history, analytics, and repository management interface

GitHub OAuth

Secure authentication flow with GitHub integration

AI-Powered Analysis

Security

  • OWASP Top 10 vulnerability detection
  • Secret and credential detection
  • Dependency vulnerability analysis

Performance

  • Algorithm complexity analysis
  • Memory usage optimization
  • Performance improvement suggestions

Code Quality

  • Code style and best practices
  • Maintainability metrics
  • Review summaries with scoring

Documentation

  • Missing documentation detection
  • Unclear naming identification
  • Test coverage gap analysis

Project Screenshots

Implementation Highlights

AI Workflows

  • Custom LangChain chains for different review types
  • LangGraph state machines for complex workflows
  • Specialized prompts for security, performance, and quality

GitHub Integration

  • GitHub API v3/GraphQL integration
  • Webhook event processing
  • Automated PR commenting

Full-Stack Architecture

  • Next.js 15 frontend with custom cyber/matrix theme
  • FastAPI backend with SQLAlchemy ORM
  • PostgreSQL/SQLite database support

Production Ready

  • Error handling and logging
  • TypeScript strict mode
  • Secure OAuth authentication flow

Note: This is a portfolio demonstration project. For production code review needs, consider established tools like CodeRabbit.