An autonomous code review multi-agent system designed to review GitHub Pull Requests, detect regressions, and analyze architectural impact before human merge.
Core Problem
Engineering teams spend hours reviewing repetitive boilerplate, checking dependency compatibility, and tracing regression risks across large pull requests.
System Design & Implementation
Multi-Agent Orchestration: Built on LangGraph to coordinate specialized agents for syntax safety, performance implications, and architectural style guidelines.
Contextual Vector Retrieval: Leveraged hybrid vector indexing over codebase documentation to evaluate whether a PR adheres to repository architecture patterns.
Deterministic GitHub Integration: Directly interfaces with GitHub Webhooks and Pull Request APIs to post granular, inline code feedback without manual intervention.