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A software engineer argues that developers must thoroughly review code generated by AI tools (referred to as "clankers"), despite their speed and often high quality, because responsibility for production issues ultimately rests with the human whose name is on the pull request. While AI-generated code may work 95% of the time, it lacks human judgment, curiosity, and contextual understanding, making manual review essential to catch errors before they cause failures in production systems.
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