Claude Code Loop Engineering

This book provides a comprehensive guide to building self-correcting, bounded AI loops that can operate unattended and avoid common pitfalls such as runaway costs or incomplete results. Through detailed instructions and practical templates, it teaches how to create loops capable of verifying their work, stopping at optimal points, and handling errors robustly. Unlike other agentic AI books, it emphasizes practical engineering techniques, including exit conditions, budget caps, and adversarial review processes, ensuring more reliable and autonomous AI development. With clear, step-by-step content, it offers a valuable resource for anyone looking to master autonomous AI loops.