Developer Finds AI-Generated Code Caused Weeks of Debugging Due to Hidden Errors

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A developer building a data pipeline for a fintech client spent three weeks debugging instead of the estimated two days. The delay was caused by trusting AI-generated code that was syntactically perfect but logically flawed. A key function silently filtered out transactions and misinterpreted financial data, creating a 4% discrepancy. The developer concluded that AI code lacks contextual understanding and requires rigorous testing against specific data contracts.

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