RESEARCHDEV.to AI·14d ago
Meta-Stanford Survey: Code as Agent Harness Improves AI Reasoning
A survey from Meta, Stanford, and Illinois suggests that AI agents perform better when code functions as their main working layer, a concept termed an "agent harness". This approach shifts AI's focus from mere text prediction to executable reasoning, enhancing its ability to handle complex tasks and minimize errors.
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