Self-evolving agents stop splitting weights from harness: Evo2 feeds each into the other, resolving 48.3% of SWE-bench Verified
Evo2 turns harness edits and their execution outcomes into training signal for the model that writes them, lifting SWE-bench Verified resolution from the strongest baseline's 41.0% to 48.3% and Polyglot pass@1 from 62.6% to 82.1%.