Presents a GAN-inspired three-agent architecture (planner, generator, evaluator) for long-running application development, demonstrating how separating generation from structured evaluation with sprint contracts dramatically improves quality over single-agent approaches.

Introduces three advanced tool use features — tool search, programmatic tool calling, and tool use examples — that enable Claude agents to dynamically discover, efficiently orchestrate, and accurately invoke tools across large tool libraries while minimizing context token consumption.

A comprehensive overview of the major design patterns for building AI agents, from single-agent architectures to multi-agent collaboration, with clear diagrams and practical trade-offs for each pattern.