Post #1391109
2026-02-10 10:37 UTC
@troed @chainq One recurring pattern I see with LLM contributions is that code-level abstractions don't make sense. The feature works, all tests pass, but a considerable amount of functionality is at the wrong place. Simplest example is a C project where *technically* it doesn't matter in which file you implement a function, but I've seen the same with Java&classes too. This doesn't matter for machines because they just grep for the function name, but makes human contributions extremely taxing, like living in a mad mans house where the soap is in the fridge and you have to climb a ladder to the attic to find the salt.
I think this can be a valid argument against the LLM push.
Replies (1)
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@chainq@mastodon.social 2026-02-10 10:49
@buherator @troed "When in doubt, follow the money" - I'm trying to argue with people with thousands of monthly budget to spend on AI coding tools. There's no argument against that it seems, at this point.