Software agents no longer get only pass or fail: the policy itself ranks debugging traces within the same outcome
Reinforcement learning rewards for software engineering agents no longer stop at pass or fail: the current policy compares debugging traces from the same task and verifier outcome, turning those preferences into bounded auxiliary rewards and lifting Qwen3-14B average accuracy on SWE-bench Verified from 32.1% to 34.7%.