Developer builds memory auditor for AI agent, finds precision matters more than recall

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A developer discovered that their coding agent's markdown-based memory system — spanning 90 files over two weeks — was storing factual claims about file paths, commands, and credentials that could silently become outdated. An automated auditor script was written to verify these claims against the actual machine state, initially flagging 45 of 90 files as invalid. However, the 50% failure rate proved misleading: false positives arose from the script misidentifying prose words, API routes, and Tailwind CSS classes as checkable filesystem or CLI entries. Targeted regex patterns and a CLI allowlist were introduced to distinguish genuinely verifiable claims from contextual or descriptive text. The project highlighted a subtle but critical distinction — a date recording a past event is permanently valid, while a date marking an expiry becomes stale the moment it passes.

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ProgrammingDEV Community ·

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