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Production Code Auditor v1.0

Launching today

Evidence-driven AI auditing for production code

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Evidence-driven AI auditing for production code

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Business intelligence software

Production Code Auditor v1.0 is an evidence-driven framework for rigorous AI-assisted code audits. Instead of asking AI to simply “find bugs,” it structures the audit around evidence, severity, reliability, security, performance, concurrency, data integrity, patch safety, and regression testing. A core goal is reducing AI hallucinations by requiring evidence before treating a suspected issue as a confirmed defect....

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Launch tags:Productivity•Developer Tools•Artificial Intelligence

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Framer AI AgentsDesign and publish professional sites with AI

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Maker

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I built Production Code Auditor because I kept seeing the same problem with AI-assisted code review: finding something suspicious is easy, but proving that it is actually a defect is much harder. The framework is designed around evidence-first auditing, severity classification, patch safety, and regression testing — with a deliberate focus on reducing unsupported AI claims and hallucinated bugs. I'd love to hear from developers who already use AI for serious production code reviews: what's the biggest problem you've encountered with AI-generated audit findings?

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2d ago