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AdaptAgent achieves superior code adaptation by leveraging a multi-agent approach that mirrors real developer practices, outperforming traditional methods in semantic correctness.
LLMs can debug code more effectively by reasoning about intermediate program states, not just relying on coarse pass/fail test signals.
LLMs can fix more bugs when guided by a semantic evolutionary algorithm that recombines successful partial fixes across a population of candidate repairs.
