An Introduction to Loop Engineering

Loop engineering focuses on the read-act-observe cycle within LLM agents. While some view it as a recent trend, its mechanics date back five years. However, critics argue that expanding loops to fix agent failures often masks convergence failures. Instead of increasing turns or context, effective loop engineering should prioritize shorter cycles that know when to stop. This perspective challenges the consensus of optimizing for longer, richer loops, suggesting that such approaches merely paper over fundamental model issues.