In the AI era, coding means thinking like a systems architect

What happened: A clinician-scientist describes how large language models and AI agents changed scientific coding, arguing researchers must still learn to code but focus on prompting, critiquing and guiding AI output rather than syntax. Why it matters: The author says the bottleneck has shifted from coding grammar to directing AI tools, and early-career scientists now take on roles historically held by senior software engineers. Key numbers: none.

A clinician-scientist describes how large language models and AI agents changed scientific coding, arguing researchers must still learn to code but focus on prompting, critiquing and guiding AI output rather than syntax.

The author says the bottleneck has shifted from coding grammar to directing AI tools, and early-career scientists now take on roles historically held by senior software engineers. Key numbers: none.