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AutoSaddler is a method for automatically patching agent harnesses from execution traces, ensuring updates generalize by testing on a held-out set to prevent regressions.
The Life-Harness paper shows that patching the evaluation harness alone, without modifying the model, improved performance in 116 of 126 setups, achieving an 88.5% mean lift across 18 backbones.