A July 21, 2026 piece examines how AI agent systems can improve autonomously by evolving the harness code around a model rather than retraining the model itself, an approach it calls “loop engineering.” The method centers on “weakness mining” to identify recurring failure patterns and the use of clearly bounded “editable surfaces” that keep proposed changes safe and reversible. This lets an external AI system propose harness improvements within controlled parameters rather than requiring a human engineer to redesign the system each time.
