Developed an AI-powered Code Review Agent that performs comprehensive pull request (PR) reviews across multiple programming languages, including Java, PL/SQL, Angular (TypeScript), and Python. The agent analyzes code quality, identifies potential bugs, highlights security and performance concerns, validates coding standards, and suggests best-practice improvements.
In addition to inline review comments, the agent automatically generates a structured review document summarizing findings, risks, recommendations, and overall code quality. The goal is to help developers receive consistent, high-quality feedback, reduce manual review effort, and improve development velocity while maintaining coding standards.
I would integrate the agent directly into the pull request workflow so developers receive feedback automatically before reviewers begin manual reviews. I would also add organization-specific coding standards, security rules, and historical learning from previous review comments to improve recommendation quality.
