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The author argues that AI agents cannot actually program effectively, despite appearances, and are fundamentally statistical models that produce broken code in increasingly difficult-to-detect ways. While acknowledging AI's utility for prototyping and quick tasks, the author warns that widespread adoption of agents in software development will harm large organizations more than skilled individuals, as low-performing employees will generate massive quantities of poor-quality code without adequate error-checking, resulting in a decline in overall software quality.
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