Developed and implemented an automated code review configuration for the XRPLF/xrpl-py repository, focusing on workflow automation using CodeRabbit.ai. Leveraging skills in AI integration and configuration management, the work introduced a YAML-based configuration file that enables profile-driven automated reviews for non-draft pull requests. The setup also established auto-reply functionality for chat interactions, optional poem commentary in walkthroughs, and abort behavior on pull request closure. This initial feature laid the foundation for reducing manual review effort and standardizing code quality processes, providing a scalable approach to repository management and enhancing communication between reviewers and automated agents within the development workflow.