alt Hacker News> Programmers suddenly need backup plans.
Yup, Claude Opus 4.5 + Claude Code feels like its teetering right on the edge of Jevon's Paradox. It can't work alone, and it needs human design and code review, if only to ensure it understands the problem and produces maintainable code. But it can build very credible drafts of entire features based on a couple of hours of planning, then I can spend a day reading closely and tweaking for quality. But the code? It's professional work, and I've worked with contractors who did a lot worse.
So right now? Opus 4.5 feels like an enormous productivity booster for existing developers (which may indirectly create unemployment or increase the demand for software enough to create jobs), but it can't work on large projects on an ongoing basis without a knowledgeable human. So it's more like a tractor than anything else: It might cause programmer unemployment, but eh, life happens.
But I can increasingly see that it would only take about one more breakthrough, and next gen AI models might make enormous categories of human intellectual labor about as obsolete as the buggy whip. If you could get a Stanford grad for a couple of dollars an hour, what would the humans actually do? (Manual labor will be replaced slower. Rod Brooks from the MIT AI Lab had a long article recently on state of robotics, and it sounds like they are still heavily handicapped by inadequate hardware: https://rodneybrooks.com/why-todays-humanoids-wont-learn-dex... )
Jevon's Paradox and comparative advantage won't protect you forever if you effectively create a "competitor species" with better price-performance across the board. That's what happened to the chimps and Homo neanderthalensis. And they didn't exactly see a lot of economic benefits from the rise of Homo sapiens, you know?
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"Inadequate hardware" is a truly ridiculous myth. The universal robot problem was, and is, and always will be an AI problem.
Just take one long look at the kind of utter garbage human mind has to work with. It's a frame that, without a hideous amount of wetware doing data processing, can't even keep its own limbs tracked - because proprioreception is made of wet meat noise and integration error. Smartphones in 2010 shipped with better IMUs, and today's smartphones ship with better cameras.
Modern robot frames just have a different set of tradeoffs from the human body. They're well into "good enough" overall. But we are yet to make a general purpose AI that would be able to do "universal robot" things. We can't even do it in a sim with perfect sensors and actuators.
In my experience the code quickly becomes less than professional once the human stops monitoring what's going on.