Learn AI Using AI [LAUA]
This comprehensive educational guide details the functionality and orchestration of Claude Code Agent Teams, an experimental feature allowing multiple AI instances to collaborate on software engineering projects. The documentation outlines a structured curriculum that moves from initial setup and environment configuration to advanced multi-agent architecture and specialized communication systems.
Key components described include the Team Lead, who manages coordination, and Teammates, who perform parallel work while utilizing shared tools like the Task List and Mailbox.
Users learn to optimize workflows through various display modes, such as split panes or in-process views, while leveraging features like Delegate Mode and Plan Approval for enhanced control.
Practical use cases, including parallel code reviews and investigative debugging, demonstrate how the system reduces bias and increases efficiency compared to single-agent sessions.
The material concludes with best practices and troubleshooting advice to help developers manage token costs and navigate technical limitations effectively.
