Developed and integrated an AI-assisted code review and pull request workflow for the cloudamqp/lavinmq repository, focusing on automating code quality feedback and streamlining issue discussions. Leveraging GitHub Actions and YAML, the solution incorporated Claude AI to participate in code reviews, automatically assessing code for quality, potential bugs, performance, security, and test coverage. This approach established a scalable process for continuous integration and delivery, reducing manual review overhead and laying the foundation for broader automation within the repository. The work demonstrated practical application of AI integration and CI/CD principles, enhancing both development speed and the maintainability of the codebase.