HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?
It is found that generated harnesses remain substantially behind mature human-engineered references on code and on search and research, while matching or exceeding the selected references on writing and machine-learning experimentation, with large variation in execution cost.
Yu-Hao Wu, Jingyuan Zhang, Jia-Jun Shi et al.
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