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Becoming good at using AI takes practice, not a magic prompt, argues software engineer Sean Goedecke. He says useful skills include giving models the right context, knowing their limits and spotting common mistakes in generated code.
Why it mattersGoedecke also recommends learning to skim model outputs efficiently. That is practical advice for anyone pairing AI with their work: the tool may change, but judgement about what to ask and what to trust still matters. Should workplaces give people time to build those skills, or expect AI tools to be intuitive from day one?
Discuss: Should workplaces give people time to build AI skills, or expect AI tools to be intuitive from day one?
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