@some_designer_dude@lemmy.world
Post #38990
2025-12-07 17:47 UTC
Replies (5)
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@Piatro@programming.dev 2025-12-07 18:00
How is what you’re describing different to what the author is talking about? Isn’t it essentially the same as “AI do this thing for me”, “no not like that”, “ok that’s better”? The trouble the author describes, ie the solution being difficult to change, or having no confidence that it can be safely changed, is still the same.
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@CaptDust@sh.itjust.works 2025-12-07 18:01
Trained dev with a decade of professional experience, humans routinely fail to get me workable specs without hours of back and forth meetings. I’d say a solid 25% of my work day is spent understanding what the stakeholders are asking for and how contort the requirements to fit into the system. If these humans can’t be explict enough with me, a living thinking human that understands my architecture better than any LLM, what chance does an LLM have?
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@Dojan@pawb.social 2025-12-07 18:05
Thus you get a piece of software that no one really knows shit about the inner workings of. Sure you have a bunch of spec sheets but no one was there doing the grunt work so when something inevitably breaks during production there’s no one on the team saying “oh, that might be related to this system I set up over here.”
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@pelespirit@sh.itjust.works 2025-12-07 18:32
Have you used any AI to try and get it to do something? It learns generally, not specifically. So you give it instructions and then it goes, “How about this?” You tell it that it’s not quite right and to fix these things and it goes off on a completely different tangent in other areas. It’s like working with an 8 year old who has access to the greatest stuff around.
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@floofloof@lemmy.ca 2025-12-07 20:39
Even more efficient: humans do the specs and the implementation. AI has nothing to contribute to specs, and is worse at implementation than an experienced human. The process you describe, with current AIs, offers no advantages. AI can write boilerplate code and implement simple small-scale features when given very clear and specific requests, sometimes. It’s basically an assistant to type out stuff you know exactly how to do and review. It can also make suggestions, which are sometimes informative and often wrong.