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Developer built localization guardrails first, yet three defects still slipped through

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A developer adding Russian and Spanish support to Parlotype, a local voice-to-text desktop app built on .NET 10 and Avalonia, used AI coding agent Claude Code to extract and translate roughly 450 string keys across 122 files. Before any bulk extraction began, the developer deliberately built the quality guardrails first — including a parity checker script, xUnit tests, Claude Code hooks, and a skill file — to catch errors automatically during the agent's work. The approach was chosen specifically because AI agents doing mechanical bulk tasks tend to drift, and catching mistakes inside the loop is cheaper than catching them at review time. Despite all these safeguards, three user-visible defects still shipped to the final build, none of which were translation errors. The post-mortem examines each defect as a distinct category of blind spot that the guardrail system failed to anticipate.

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