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This is exactly what is happening from a levels of abstraction standpoint.

The difference being that compilers and related tools are deterministic, and we can manage the outputs using mathematical proof of correctness.

The LLM's driving this new abstraction layer are another beast entirely.

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Right. I work in aerospace software, and I do not know if this option would ever be on the table. It certainly isn't now.

So I think this question needs to be asked in the context of particular projects, not as an industry-wide yes or no answer. Does your particular project still need humans involved at the code level? Even just for review? If so, then you probably ought to retain human-oriented software design and coding techniques. If not, then, whatever. Doesn't matter. Aim for whatever efficiency metric you like.

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Then again, would anyone have guessed we’d even be seriously discussing this topic 10, 20, 40 years ago?
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Maybe. This book from 1990

https://mitpress.mit.edu/9780262526401/artificial-intelligen...

envisions a future of AI assistance that looks not too far off from today.

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It’s also pretty close to Steve Jobs initial vision of computing in the future (https://stevejobsarchive.com/stories/objects-of-our-life, 1983) but my point is that whatever it is we call AI now became reality so much faster than anyone really saw coming. Even if the pace slows down, and it didn’t yet, things are improving so massively all the time that the world can’t keep up changing to accommodate.
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