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Clinician Scientist

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Scientist argues AI coding tools shift learning focus from syntax to system design

A clinician-scientist writing in a commentary describes how large language models and AI coding agents now let researchers generate complex data pipelines and analyses in seconds, tasks that once took days of manual troubleshooting. The author argues coding literacy is still essential, but that the skill now required is prompting and critically evaluating AI-generated code rather than memorizing syntax, and offers six tips for adapting to this shift.