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A Stanford and MIT research paper shows that optimizing the Python harness around LLMs can yield up to a 6x performance gap without changing model weights, with systems like Meta-Harness automating context evolution.
DeepSeek is hiring for a new Harness team to build a Code Harness product (possibly called DeepSeek Code) based in Beijing, open for Product Manager and R&D Engineer roles.