Mayank Sharma developed AI-assisted code review automation for the dream-aim-deliver/dad-e-class-monorepo, focusing on integrating Claude as a pull request assistant. Leveraging YAML and GitHub Actions, Mayank implemented workflows that enabled automated feedback on code quality, potential bugs, performance, security, and test coverage. The solution automated review tasks and issue management, streamlining the code review process and reducing manual intervention. By embedding Claude into the CI/CD pipeline, Mayank improved review throughput and consistency, accelerating pull request resolution. The work demonstrated depth in AI integration and workflow automation, enhancing code health visibility and supporting faster, more informed decision-making within the monorepo.