As long as there's internal documentation, which virtually every serious shop has, it can be processed and combined with AI. There are startups selling this product already. I've seen first hand some very narrowly focused domain knowledge becoming more accessible when you can ask the chatbot and the thing is right. It works.

Come to think of it, domain knowledge should be an LLMs strong suit as long as you can provide the right documentation, which is working pretty well already.

Right now the main issue I see with AI is that it doesn't do well with scaling. It's great for building demos and examples but you have to fix its code for real production work. But for how long?

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generic92034 6 hours ago | parent | next [-]

In ERP software there are MLOCs without any technical documentation. And nobody would spend a dime to create one. So, the deep expert knowledge on how business processes are supposed to work (in full detail) and how they are implemented is mostly in the heads of a couple of people.

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mycall 6 hours ago | parent [-]

AI is most excellent at reading and understanding large codebases and, with some guidance docs, can easily reproduce accurate technical documentation. Divide and conquer.

	▲	yladiz 5 hours ago \| parent [-]
		Accuracy/faithfulness to the code as written isn't necessarily what you care about though, it's an understanding of the underlying problem. Just translating code doesn't actually help you do that.

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jasondigitized 2 hours ago | parent | prev [-]

Documentation rarely reflects how anything is actually done, referred to by good business analysts as 'shadow functions'.