this post was submitted on 01 Apr 2025
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[–] PanArab@lemm.ee 29 points 3 months ago (6 children)

When I used to do image and signal processing for embedded systems in C and C++, AI was useless. Now that I do backend web development in Python and Ruby, AI is better than me. It really depends on the problem area and how many sample code and answers are out there for it to steal from.

[–] lord_ryvan@ttrpg.network 28 points 3 months ago

I do backend development in PHP and Ruby, and AI sometimes has a suggestion that helps me out but is often completely, utterly useless, especially at actually coding the thing from scratch.

[–] thebardingreen@lemmy.starlightkel.xyz 18 points 3 months ago* (last edited 3 months ago) (1 children)

Can confirm. AI is worse than useless for embedded systems.

I was working with Yocto on a very specialized xilinx chip. I had chatGPT makeup a chapter that didn't exist (in a manual that did), reference non-existent paragraphs from said chapter, and then argue with me quite confidently that that chapter was real and the information it was giving me was accurate.

[–] locuester@lemmy.zip 3 points 3 months ago

ChatGPT can make ridiculous claims about what it can do. It sometimes even says that it does real world things when it’s laughably impossible.

[–] spooky2092@lemmy.blahaj.zone 5 points 3 months ago

I do a ton of Powershell scripting, and AI is either a half competent programmer, or someone let grandpa respond with the syntax from nineteen dickety two

[–] CanadaPlus@lemmy.sdf.org 4 points 3 months ago* (last edited 3 months ago)

Like 95% of the people on here do the latter, though. (Way too often I get in arguments where it seems like people don't realise there's other kinds of coding)

[–] 30p87@feddit.org 4 points 3 months ago

And as soon as you enter corporate stuff, LLMs are useless again, because most things are integrated into existing ecosystems which LLMs don't know and/or libraries are only used for closed source code.

[–] NigelFrobisher@aussie.zone 2 points 2 months ago

LLMs are only wrong 25% of the time when it’s your area of expertise. When it’s not, they give flawless answers.