Harden – 5 AI models audit your code, then debate each other's findings

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I built harden because I kept copy-pasting code between ChatGPT, Claude, and Gemini trying to cross-check their reviews. Each one found things the others missed, but synthesizing their outputs manually was painful.harden runs 5 frontier models (Claude, GPT-4o, Gemini, Mistral, DeepSeek) in parallel on the same input. They analyze independently, then cross-examine each other's findings. A coordinator synthesizes the debate into consensus findings and produces a fixed version.The key insight: no single model finds more than ~72% of issues. The union of all five hits ~94%. After cross-examination (where models must defend findings against skeptical peers), accuracy rises to ~97% and false posit

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Website: harden.center