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Comment Re:TypeScript? (Score 3, Informative) 36

That surprised me, too. TypeScript is a very poorly-congealed ("designed" seems a bit strong) language.

Of the two popular scripting languages - python and ruby - python probably makes more sense as you can compile into actual binaries if you want.

For speed and parallel processing, which I'd assume they'd want, they'd be better off with Tcl or Erlang, both of which are much much better suited to this sort of work.

Comment Re:Not unique to AI (Score 1) 76

Problem is micromanaging executives that are all in and demanding to see some volume of LLM usage the way they think is correct (little prompt, large amounts of code).

Thus practice may be very bad for your health. Not that these "executives" care, but you should.

Comment Re:Is it infecting enterprise accounts too? (Score 1) 73

Well, the routinely clueless economics graduates certainly think so. My take is that in a few years actually competent coders will be in high demand to fix the mess and out out a lot of fires. When that happens and if you are inclined to participate, make them pay through the nose.

Comment Re:Insider perspective: AI helps with amnesia only (Score 3) 63

The point being...AI doesn't tangibly save time. It might save a bit under some circumstances, but not enough to justify layoffs. The CEOs are full of shit.

Pretty much this. LLMs can be convenient, but they are not magic and that they make competent coders slower is pretty well established by now.

Comment Re:It points to AI slop code (Score 1) 49

No surprise this idiocy is happening in other areas too. There is a special kind of mental disability you need to have (or acquire) to be an economics graduate: A total inability to see more than a few months into the future and a total inability to do any kind of risk management. It worked? Everything must be more than fine and surely we can do it cheaper, right?

That is why people with critical institutional and technological skills are not treated even remotely at their value, let alone critical for organizational survival. Tech history is full of big names that are not around anymore or only in massively reduced forms. And in most cases, it is because some "managers" did not manage to think.

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