Testing Loop Engineering Without LLM: Can It Handle Failure Isolation?

When building AI systems, engineers often focus on crafting the perfect prompt. But what about the underlying architecture? A key aspect of these systems lies above the input – it’s called loop engineering. This control-flow pattern breaks down a complex task into smaller steps that work together iteratively, observing state and adjusting towards a goal. Loop engineering sits one level above harness engineering, which focuses on creating an environment for a single agent to operate within.

The team behind this experiment wanted to test whether loop engineering could isolate failures within a workflow. They built a specific implementation of loop engineering to find out. The results are revealing and raise important questions about the role of LLMs in AI systems.