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Sanity Checking Expected Output is one of the most vital skills a person can have. It really is. But knowing the general shape of the thing is different than

• bruce511 2y ago
  This gets to the root of the issue. The use case, and user experience, and thus outcome is, is remarkably different depending on your current ability. Using AI to learn things is useful, because it helps you get terminology right, and helps you Google search well. For example say you need to know a Windows API, you can describe it snd get the name. Then Google how that works. As an experienced user you can get it to write code. You're good enough to spot errors in the vote and basically just correct as you go. 90% right is good enough. It's the in-between space which is hardest. You're an inexperienced dev looking to produce, not learn. But you lack the experience and knowledge to recognise the errors, or bad patterns, or whatever. Using AI you end up with stuff that's 'mostly right' - which in programming terms means broken. This experience difference is why there's so much chatter about usefulness. To some groups it's very useful. To others it's a dangerous crutch.