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by g023
64 days ago
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HarnessHarvester generates executable Python harnesses from natural language task descriptions, executes them in a sandboxed environment, reviews them with multi-faceted LLM judges, and repairs failures using branching strategies. It includes two autonomous modes: autolearn (continuous discovery loop) and autoimprove (iterative enhancement of existing harnesses). This concept is designed to be an offline first harness/scaffolding builder where you get the harness instead of some remote api. |
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