← Back to AI News

Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop

Towards Data Science

This article challenges the assumption that LLMs must be central to loop engineering by presenting a deterministic Python benchmark that replaces the model with simple rules. The experiment demonstrates that a goal-directed controller can isolate failures better than a linear pipeline, proving failure isolation is a property of control flow independent of LLM reasoning. The author validates the benchmark across 300 random seeds and shares insights on architecture, debugging, and evidence.

Read original source →
ResearchInfrastructureTools