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AI is the intern now, still does 50% of the work, nobody trusts it with anything important, gets praised by the CEO for “transforming the business.” :-)
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Many humans can't be trusted with important work too, that's why we have all job interviewing and performance review processes, which are messy, costly and inefficient.

With AI, companies can built some rigid analytics/tests/benchmarks, which could be used at scale.

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The big question is the work in question conceived of, designed, scoped, and then 30% to 50% of the doc/code written by a human and then finished by AI or is there some 30% to 50% of the work where all of that was owned by the AI.

Both are useful, but the former situation is one that just makes good engineers more useful/in demand imho.

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It's not about perfect code but maintainable code that can be debugged when (not if) things go wrong.
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