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Why Human Oversight Still Matters When Using AI in Software Development

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A software development team working on a hospitality management platform encountered a persistent authentication bug that neither human review nor multiple AI tools could quickly identify. The root cause turned out to be a minor keyword mismatch in the authentication implementation, parts of which had been written with AI assistance. Despite consulting several large language models during debugging, the actual fix required a developer to manually trace through the code. The team emphasized that their approach prioritizes deep project understanding before any implementation begins, treating AI as a workflow aid rather than a decision-maker. The experience underscored that AI-generated code still requires skilled human evaluation, particularly during testing and debugging phases.

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