Iterative Harness Prompts Let Small Agents Beat Bigger Ones
The paper introduces Recursive Harness Self‑Improvement (RHI), a prompt‑level loop that refines user‑built harnesses with pairwise feedback. A few RHI cycles let low‑reasoning agents surpass high‑reasoning baselines while slashing inference cost up to 60%, driven by better task context flow.