It has nothing to do with 'elite teams', it has to do with decades long and very careful maintenance.

It's too early to say whether LLM generated projects will ever reach that sort of maturity, most examples I've seen so far are basically "fire and forget". But lets talk again in one or two decades, maybe there will be counterexamples of successful open source projects which will be just as well llm-maintained as human-mainained.

But I suspect that to reach that sort of maturity, the resulting human effort will be mostly the same (e.g. not much of a productity win - except maybe on the 'edges', e.g. maintaining the test suite, documentation, helping to analyze bugs..., e.g. these are examples where LLMs are genuinely useful and where plagiarism hardly matters).

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tossandthrow 8 hours ago | parent [-]

It really is not.

There are some areas that are critical and where software developers carefully will detail stear the work.

But the vast amount of software written, react components and rest endpoints, are very ripe to be entirely written by agents.

	▲	flohofwoe 7 hours ago \| parent [-]
		> But the vast amount of software written, react components and rest endpoints, are very ripe to be entirely written by agents. In that I agree, nobody should be forced to write React code manually, that's almost a human rights violation ;) REST endpoints (and the code talking to those endpoints) should be code generated anyway though, no need for LLMs, and instead of human language prompting, a precise IDL should be the spec and basis for a mechnical code generation process. That problem was solved decades ago with much more pedestrian technology. E.g. it basically comes down to "it's fine to use LLMs for software that shouldn't have been written in the first place", and funny enough that's where LLMs are really good at: creating software that has been written a million times before with only minor variations, and doing this type of work manually (cranking out one cookie cutter React webpage or REST API after another) is essentially what's called 'bullshit jobs' (which bring food on the table though, but that's another topic). PS: > and where software developers carefully will detail stear the work. ...I think the further a project evolves, the less this "detailed stearing" will be any more productive than doing the same without LLMs. The older a project, the more the work shifts from implementation to decision making, and in most cases the result of that decision is just a very tiny code change. I already see cases in my daily work when I use 'agentic workflows' where a tiny change takes longer and involves more 'collatoral updates' then just fixing that one frigging line of code by hand like in the olden days, and for LLM-generated code bases I really do prefer to not mix LLM and manual work, I think that's the worst of all options.