Multi-Agent AI for Code Review Governance

AI-assisted code review needs architecture controls because speed gains can introduce false positives, weak traceability, or security exposure if agents operate without validation. The case study explains a multi-agent platform that reviews Bitbucket pull requests, retrieves code context, applies language-specific rules, validates findings, and posts inline comments. It also describes an event-driven microservice architecture using FastAPI, Procrastinate, Redis-backed concurrency limits, and Docker Compose deployment. Technology leaders should assess AI code review as a governed engineering workflow, not just developer productivity tooling.