The Art of Loop Engineering
From Prompting to Production-Grade Agent Systems
Prompt engineering was just the beginning.
Single-pass LLM calls hit a ceiling the moment you ask an agent to debug a codebase, negotiate a complex workflow, or autonomously pursue a multi-hour goal. The real leverage isn't a better prompt — it's a better system.
The Art of Loop Engineering introduces a new engineering discipline for the age of autonomous AI. Author Angela Nguyen distills years of production experience into a clear, practical framework: the Observe–Reason–Act–Evaluate (ORAE) cycle, the Agent Development Lifecycle (ADLC), and a catalog of battle-tested loop patterns — from ReAct and Plan-and-Execute to Maker/Checker verification and goal-driven autonomous loops.
You'll learn how to:
Design agentic loops that are reliable, observable, and safe by construction
Manage context windows: combat drift, rot, and token bloat with pruning, summarization, and hierarchical memory
Prevent degenerate and infinite loops with circuit breakers, budget guards, and self-healing strategies
Orchestrate multi-agent teams with sub-agent spawning, human-in-the-loop gates, and scheduled background loops
Build a custom autonomous coding agent from scratch — fully implemented in Python
Whether you're an engineer pushing agents into production, an AI practitioner evolving beyond prompts, or a technical leader evaluating autonomous systems, this book gives you the vocabulary, patterns, and discipline to engineer loops that work — at scale.
Includes: Complete code examples for LangGraph, CrewAI, Claude Code, AGY, and a custom agent loop implementation. Plus appendices with a glossary, reference code snippets, and a curated bibliography.