Defending Harness Engineering: Why AI System Tuning is Real Science

Harness engineering—systematic optimization of AI system prompts—is often dismissed as creative guesswork rather than real engineering. This article demonstrates that harness engineering meets all legitimate engineering criteria by applying the scientific method: forming testable hypotheses, running controlled experiments, and evaluating against predefined standards. For organizations and AI practitioners, this reframing is crucial: it shifts AI system design from trial-and-error improvisation to disciplined, measurable practice with clear success criteria.