this post was submitted on 30 Sep 2025
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"No Duh," say senior developers everywhere.

The article explains that vibe code often is close, but not quite, functional, requiring developers to go in and find where the problems are - resulting in a net slowdown of development rather than productivity gains.

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[–] arc99@lemmy.world 11 points 11 months ago* (last edited 11 months ago) (12 children)

I have never seen an AI generated code which is correct. Not once. I've certainly seen it broadly correct and used it for the gist of something. But normally it fucks something up - imports, dependencies, logic, API calls, or a combination of all them.

I sure as hell wouldn't trust to use it without reviewing it thoroughly. And anyone stupid enough to use it blindly through "vibe" programming deserves everything they get. And most likely that will be a massive bill and code which is horribly broken in some serious and subtle way.

[–] ikirin@feddit.org 6 points 11 months ago* (last edited 11 months ago) (1 children)

I've seen and used AI for snippets of code and it's pretty decent at that.

With my colleagues I always compare it to a battery powered drill. It's very powerful and can make shit a lot easier. But you'd not try to build furniture from scratch with only a battery powered drill.

You need the knowledge to use it - and also saws, screws, the proper bits for those screws and so on and so forth.

[–] setsubyou@lemmy.world 5 points 11 months ago* (last edited 11 months ago)

What bothers me the most is the amount of tech debt it adds by using outdated approaches.

For example, recently I used AI to create some python scripts that use polars and altair to parse some data and draw charts. It kept insisting to bring in pandas so it could convert the polars dataframes to pandas dataframes just for passing them to altair. When I told if that altair can use polars dataframes directly, that helped, but two or three prompts later it would try to solve problems by adding the conversion again.

This makes sense too, because the training material, on average, is probably older than the change that enabled altair to use polars dataframes directly. And a lot of code out there just only uses pandas in the first place.

The result is that in all these cases, someone who doesn’t know this would probably be impressed that the scripts worked, and just not notice the extra tech debt from that unnecessary dependency on pandas.

It sounds like it’s not a big deal, but these things add up and eventually, our AI enhanced code bases will be full of additional dependencies, deprecated APIs, unnecessarily verbose or complicated code, etc.

I feel like this is one aspect that gets overlooked a bit when we talk about productivity gains. We don’t necessarily immediately realize how much of that extra LoC/time goes into outdated code and old fashioned verbosity. But it will eventually come back to bite us.

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[–] DarkDarkHouse@lemmy.sdf.org 11 points 11 months ago (1 children)

The biggest value I get from AI in this space is when I get handed a pile of spagehtti and ask for an initial overview.

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[–] Somecall_metim@lemmy.dbzer0.com 11 points 11 months ago

I am jack's complete lack of surprise.

[–] Fyrnyx@kbin.melroy.org 10 points 11 months ago

But will something be done about it?

NOooOoOoOoOoo. As long as it is still the new shiny toy for techbros and executive-bros to tinker with, it'll continue.

[–] chaosCruiser@futurology.today 9 points 11 months ago* (last edited 11 months ago) (1 children)

About that "net slowdown". I think it's true, but only in specific cases. If the user already knows well how to write code, an LLM might be only marginally useful or even useless.

However, there are ways to make it useful, but it requires specific circumstances. For example, you can't be bothered to write a simple loop, you can use and LLM to do it. Give the boring routine to an LLM, and you can focus on naming the variables in a fitting way or adjusting the finer details to your liking.

Can't be bothered to look up the exact syntax for a function you use only twice a year? Let and LLM handle that, and tweak the details. Now, you didn't spend 15 minutes reading stack overflow posts that don't answer the exact question you had in mind. Instead, you spent 5 minutes on the whole thing, and that includes the tweaking and troubleshooting parts.

If you have zero programming experience, you can use an LLM to write some code for you, but prepare to spend the whole day troubleshooting something that is essentially a black box to you. Alternatively, you could ask a human to write the same thing in 5-15 minutes depending on the method they choose.

[–] BilboBargains@lemmy.world 9 points 11 months ago

This is a sane way to use LLM. Also, pick your poison, some bots are better than others for a specific task. It's kinda fascinating to see how other people solve coding problems and that is essentially on tap with a bot, it will churn out as many examples as you want. It's a really useful tool for learning syntax and libraries of unfamiliar languages.

On one extreme side of LLM there is this insane hype and at the other extreme a great pessimism but in the middle is a nice labour saving educational tool.

[–] andros_rex@lemmy.world 9 points 11 months ago (2 children)

So when the AI bubble burst, will there be coding jobs available to clean up the mess?

[–] Alaknar@sopuli.xyz 7 points 11 months ago

There already are. People all over LinkedIn are changing their titles to "AI Code Cleanup Specialist".

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[–] Goldholz@lemmy.blahaj.zone 8 points 11 months ago

No shit sherlock!

[–] altphoto@lemmy.today 8 points 11 months ago (3 children)

Its great for stupid boobs like me, but only to get you going. It regurgitates old code, it cannot come up with new stuff. Lately there have been less Python errors, but again the stuff you can do is limited. At least for the free stuff that you can get without signing up.

[–] Smokeless7048@lemmy.world 7 points 11 months ago

Yea, I use it for home assistant, it's amazingly powerful... And so incredibly dumb

It will take my if and statements, and shrunk it to 1/3 the length, while being twice as to robust... While missing that one of the arguments is entirely in the wrong place.

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[–] Deflated0ne@lemmy.world 8 points 11 months ago* (last edited 11 months ago) (1 children)

According to Deutsche Bank the AI bubble is ~~a~~ the pillar of our economy now.

So when it pops. I guess that's kinda apocalyptic.

Edit - strikethrough

[–] hroderic@lemmy.world 7 points 11 months ago

Only for taxpayers ☝️

[–] Tollana1234567@lemmy.today 8 points 11 months ago

so is the profit it was foretold to generate, but it actually costs money than its actually generating.

[–] sadness_nexus@lemmy.ml 7 points 11 months ago (1 children)

I'm not a programmer in any sense. Recently, I made a project where I used python and raspberry pi and had to train some small models on a KITTI data set. I used AI to write the broad structure of the code, but in the end, it took me a lot of time going through python documentation as well as the documentation of the specific tools/modules I used to actually get the code working. Would an experienced programmer get the same work done in an afternoon? Probably. But the code AI output still had a lot of flaws. Someone who knows more than me would probably input better prompts and better follow up requirements and probably get a better structure from the AI, but I doubt they'll get a complete code. In the end, even to use AI, you have to know what you're doing to use AI efficiently and you still have to polish the code into something that actually works.

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[–] JackbyDev@programming.dev 7 points 11 months ago (3 children)

The people talking about AI coding the most at my job are architects and it drives me insane.

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[–] popekingjoe@lemmy.world 7 points 11 months ago

Oh wow. No shit. Anyway!

[–] COASTER1921@lemmy.ml 7 points 11 months ago (4 children)

AI companies and investors are absolutely overhyping its capabilities, but if you haven't tried it before I'd strongly recommend doing so. For simple bash scripts and Python it almost always gets something workable first try, genuinely saving time.

AI LLMs are pretty terrible for nearly every other task I've tried. I suspect it's because the same amount of quality training data just doesn't exist for other fields.

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[–] MisterNeon@lemmy.world 6 points 11 months ago* (last edited 11 months ago) (2 children)

I can't even get Copilot to write Vitest files for React without making a mountain of junk code that describes drivel.

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[–] bitjunkie@lemmy.world 6 points 11 months ago

I'd much rather write my own bugs to have to waste hours fixing, thanks.

[–] uncle_moustache@sh.itjust.works 6 points 11 months ago

The good news is: AI is a lot less impressive than it seemed at first.

The bad news is: so are a lot of jobs.

[–] HugeNerd@lemmy.ca 5 points 11 months ago
[–] MrSulu@lemmy.ml 5 points 11 months ago

Perhaps it should read "All AI is over hyped, over done and we should be over it"

[–] M0oP0o@mander.xyz 5 points 11 months ago (2 children)

Wait, it was hyped? Not just ridiculed?

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