Nobody Knows What to Hire For. This Is the Only Stable Bet

5 hours ago

AI accelerates code generation but not the underlying cognitive work like specification, review, and coordination, which were always the real bottlenecks in software development.
Surveys show AI-generated code often requires extensive debugging and is trusted less by experienced users, highlighting the increased importance of human judgment and verification.
Effective teams with AI shift focus from typing to preparation—spending more time on specs and review—while weaker teams struggle due to amplified inefficiencies.
Hiring and training should prioritize reasoning, debugging, and system understanding over coding speed, as these skills remain critical in the AI era.

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