Developed and integrated the Qwen Code AI Coding Assistant into the jdx/mise repository, enabling automated codebase understanding and task automation within both terminal and IDE environments. This feature leveraged AI development and command line interface (CLI) skills, utilizing TOML for configuration and registry management. The integration established a maintainable pattern for future AI tooling across repositories, supporting scalable workflows and improved onboarding. Collaboration was central to the effort, with co-authored contributions ensuring robust provenance and cross-team alignment. The work focused on enhancing productivity by streamlining repetitive tasks and accelerating development cycles, while laying groundwork for further AI-assisted development initiatives.