ended6월 14일· 1 sources
AI Code Looks Great Until It Meets Production Reality
AI가 만든 백엔드 코드는 완벽했다—프로덕션 환경에 가기 전까지
Why it matters
AI code generators are adept at creating syntactically correct, test-passing code, but they systematically miss the architectural and environmental context that separates prototypes from production-ready systems. This developer's account of production failures—N+1 queries, race conditions, error serialization issues—reveals why AI remains a powerful acceleration tool rather than a substitute for system design expertise.
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CursorProduction debuggingN+1 queriesType coercionRace conditionsError handling