Summary
An agent-based AI platform automated pull request reviews within existing Git workflows. It used context‑aware code analysis to detect bugs, security issues, and missing tests as AI‑generated code volumes grew. By embedding directly into developer tools, it reduced review bottlenecks and improved code quality at scale. The model‑driven architecture supported enterprise‑grade standards while expanding access to open‑source projects.