Developer builds SEO generator after AI agent duplicated metadata across 20 files manually

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A developer building a multilingual static property listing site for North Cyprus discovered that an AI coding agent had hard-coded SEO metadata — including titles, Open Graph tags, and JSON-LD — as literal strings across 20 HTML files instead of deriving them from a single source. The flaw only surfaced when a routine audit revealed that the Polish version of one listing had drifted from its counterparts in other languages. To fix the structural problem, the developer wrote a lightweight Node.js generator that stores all SEO data centrally and injects it into each file via markers, leaving the rest of the hand-written HTML untouched. A --check flag was added to verify files before deployment, though the developer noted a critical design flaw: the flag could not distinguish intentional edits from silent corruption by the tool itself. The project also highlighted that reference material outlining best practices was present in the agent's working environment throughout, yet none of it was applied without explicit prompting.

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