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Efficiency (lemmy.ml)
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[-] HiddenLayer555@lemmy.ml 14 points 3 days ago

I personally like programming too much to ever vibe code as they say. Solving problems and organising things is why I like programming in the first place.

[-] yogthos@lemmy.ml 2 points 3 days ago

That said, there is a lot of boring code out there. For example, most UIs are basically just doing CRUD operations, and once you've written enough of these things it's not really that exciting anymore.

[-] lukecooperatus@lemmy.ml 2 points 3 days ago

There are a ton of great UI libraries available, many with bindings for whatever our preferred languages are. We don't need an LLM for any of that.

[-] yogthos@lemmy.ml 2 points 2 days ago

The LLM is what I use to build the specific UI using the components from these great UI libraries. There's practically no logic involved here, it's just handling layout for components and hooking up events. It's fantastic to be able to take a JSON payload from an endpoint throw it at a model and get a reasonable UI in seconds.

[-] merthyr1831@lemmy.ml 2 points 3 days ago

ai is the new stack overflow which is the new copying someone else's work which is the new reading the manual

[-] Natanox@discuss.tchncs.de 5 points 3 days ago

Yeah… I'm quickly reaching the point where I'm quicker thinking and writing Python code than even writing the prompts. Let alone the additional time going through the generated stuff to adjust and fix things.

It's good to get a grip on syntax, terminology and as an overly fancy (but very fast) search bot that can (mostly) apply your question to the very code that's in front of you, at least in popular languages. But once you got that stuff in your head… I don't think I'll bother too much in the future. There surely are tons of useful things you can do with multimodal LLMs, coding on its own properly just isn't one of it. At least not with the current generation.

[-] yogthos@lemmy.ml 4 points 3 days ago

Yeah, I find LLMs are really nice for learning a new language when you know what you want to do, but not the specific syntax or best patterns. I've also found LLMs are great for stuff like crafting SQL queries, one off shell scripts, and building UIs. They can write certain kinds of code fairly well nowadays, but you want to keep the problem scope clear and focused.

[-] sentient_loom@sh.itjust.works 3 points 3 days ago

I still write my code in calligraphy.

[-] lowleveldata@programming.dev 2 points 3 days ago* (last edited 3 days ago)

if it's php / VB then LLM can have all the fun I don't mind

[-] sigmabot@crazypeople.online 1 points 3 days ago

show me an example of something you could write in 30 minutes that would take an LLM 3 hours.

[-] balsoft@lemmy.ml 3 points 3 days ago

Anything more complicated than business logic in JS/Python sends LLMs into a guessing game that can take you those 3 hours to get out of. Try asking it to write embedded software in C, hardware-interfacing code in Rust, or any non-trivial TemplateHaskell.

[-] ThirdConsul@lemmy.ml 2 points 3 days ago* (last edited 3 days ago)

I'm not a Python engineer.

Manager came and decreed that all of our perfectly fine cron jobs (both of them) need to go to Astro/Airflow because we should use it because of reasons he couldn't articulate.

Fine.

"As an experienced python engineer, blablabla, Dag, blablabla, Astro, prefer Astro over other imports, blablabla, errors as values, blablabla".

With the tweaks and errors (including wrong imports) I had to redo it all from scratch anyway. LLM was good for the syntax though, like loops and function declaration.

[-] yonder@sh.itjust.works 2 points 3 days ago

I think the meme is suggesting that 3 hours was spent setting up a local llm, like in This video.

[-] jsomae@lemmy.ml -1 points 3 days ago

This is really not very accurate in my experience. What is your process? How are you screwing up LLM usage this badly?

[-] yogthos@lemmy.ml 1 points 3 days ago

lol I think this mostly happens when people give too broad a task to llms

this post was submitted on 17 Apr 2025
73 points (95.1% liked)

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