CRDTs are something you still have to write by hand, I finished creating a custom sequence based CRDT engine about 2 months ago (inspired by diamond types) and it was hilarious to ask Ai for assistance.

It's interesting when you are working on something that:

1. Is essentially a logic problem.

2. That LLMs aren't trained on.

3. That can have dense character sequences when testing.

4. To see how completely useless an LLM is outside of pre-trained areas.

There needs to be some blackbox test based on pure but niche logic to see if an LLM model is capable of understanding and even noticing exposure to new logics.

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canadiantim 4 hours ago | parent [-]

What about just using something like Loro?

	▲	fellowniusmonk 4 hours ago \| parent \| next [-]
		I love Loro and its probably my favorite open source project (you can see me refer to it as such in my comment history), I have a very specific multi CRDT and search indexing architecture that precluded me from using it.
	▲	fellowniusmonk 2 hours ago \| parent \| prev [-]
		Ah, sorry, I completely left out context, when I say by hand I don't mean there are no good CRDT projects, Loro is absolutely great, others are very good as well. I mean only in the context of writing your own, you can't use Ai, Ai can be used to write code and certainly can explain a lot of code and as a resuly people start ascribing more reasoning power to Ai than it has, CRDTs are an area where current models just completely lose the plot. If you're only using Ai in well mapped areas it's easy to start assuming it has human level reasoning capabilities, the illusion is quickly shattered if you're operating at the edge.