AI Code Review Agent
RAG-powered code review agent that provides context-aware suggestions and automates PR reviews via GitHub Actions.
Tech Stack
Overview
The AI Code Review Agent uses a RAG architecture to analyze code changes in the context of the broader codebase. When a pull request is opened, a GitHub Actions workflow triggers the agent, which retrieves relevant code context from a vector index of the repository, then generates detailed, actionable review suggestions. The agent understands patterns, potential bugs, style inconsistencies, and security issues specific to the project's own conventions.
Key Highlights
RAG architecture indexes the full repository for project-specific, context-aware reviews
Automated PR review triggered via GitHub Actions on every pull request
Detects bugs, anti-patterns, and security issues with project-convention awareness
Configurable review depth — quick lint pass or deep semantic analysis
Review comments posted directly to the PR via GitHub API