In this article, you will learn what loop engineering is, where it came from, and how to design autonomous AI agent cycles that run reliably without constant human supervision.
Topics we will cover include:
The origin and definition of loop engineering, and how it fits into the broader progression from prompt engineering to context engineering to harness engineering.
The anatomy of a reliable loop, including its essential components, common patterns, and the pseudocode skeleton that underlies nearly every production implementation today.
The three hardest problems in loop engineering — context management, termination, and verification — and the failure modes that result from getting any one of them wrong.
