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

TL;DR

Loop engineering discussions often center around large language models (LLMs), but this study isolates the architecture itself. A deterministic Python benchmark was created to replace the model with simple rules, allowing for direct measurement of failure isolation.

Key Takeaways

• Adopt loop engineering to improve task processing control flow.
• Use deterministic implementations for reliable benchmarking.
• Differentiate between pending and permanently blocked tasks.
• Validate your benchmarks with rigorous testing and sanity checks.