A programmer detailed their experience using multiple AI models for code development and auditing, highlighting the unreliability of AI-generated reports. While one AI model produced an audit report identifying genuine vulnerabilities in the programmer's code, a second AI, with access to the codebase, found that several other findings in the report were fabricated or based on non-existent code elements. This experience underscores the need for human verification of AI outputs, even when AI is used to check other AI's work, as AI can present plausible-sounding but incorrect information. AI
IMPACT Highlights the critical need for human oversight in AI-generated code and audits, even when using AI to verify AI.
RANK_REASON The item is a personal account and reflection on using AI tools for coding and auditing, rather than a release or significant industry event.
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