even just using it to translate their thoughts into a bullet list isn't going to work most of the time. LLMs training is, the majority of the time, out of date and stacks change/move faster than an agents data. Plus LLMs favour things that have been posted about on blogs, linkedin posts, etc rather than stuff that is proven and tested.

Like for example it might suggest using a language or library that is insanely out of date or just won't work but recommends it based purely on say blog posts that have talked a lot about it or it's potential to do something that it currently can't do. or like I said it'll suggest something that's out of date simply because there's more documentation online about that specific version than the most up to date version. Or the LLM will report on something that has a "known issue" from like early 2025 and suggests not using it when said issue has been patched routinely since then because the data the LLM has is out of date. the data is constantly out of date.

[–] Bluescluestoothpaste@sh.itjust.works 2 points 1 day ago (1 children)

I guess shouldn't product people not give a shit what language you write it in? Like that's the problem product people need to describe what they want while letting the devs do the job of generating the code.

[–] rozodru@piefed.world 3 points 1 day ago (1 children)

right the product people won't care or won't know so the LLM will just spit out whatever. to the product people it'll look legit and make sense. once it's handed to a dev in most cases it might as well just be thrown out of the window. so it's pointless. it'd be easier/faster to just cut out the middle man, the AI, and go directly to the dev and have the product people tell them exactly what they want/need.

[–] Bluescluestoothpaste@sh.itjust.works 1 points 20 hours ago

I mean honestly in that case im already having my meetings audio recorded and transcribed and summarized by ai because these people at work are fucking idiots and find a way to spend two hours talking without addressing anything actionable.