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[-] conditional_soup@lemm.ee 13 points 4 days ago

FTA: The user considered it was the unpaid volunteer coders’ “job” to take his AI submissions seriously. He even filed a code of conduct complaint with the project against the developers. This was not upheld. So he proclaimed the project corrupt. [GitHub; Seylaw, archive]

This is an actual comment that this user left on another project: [GitLab]

As a non-programmer, I have zero understanding of the code and the analysis and fully rely on AI and even reviewed that AI analysis with a different AI to get the best possible solution (which was not good enough in this case).

[-] TempermentalAnomaly@lemmy.world 18 points 4 days ago

I am not a programmer and I think it's silly to think that AI will replace developers.

But I was working through a math problem in Moscow Puzzles with my kiddo.

We had solved it, but I wasn't sure he got it at a deep level. So I figured I'd do something in Excel or maybe just do cut outs. But I figured I'd try to find a web app that would do this better. Nothing really came up that was a good match. But then thought, let's see how bad AI programming can be. I'd fought with it over some excel functions and it's been mainly useful in pointing me in the right direction, but only occasionally getting me over the finish line.

After about 6 to 8 hours of work, a little debugging, havinf teach and quiz me occasionally, and some real frustration of pointing out that the feature previously changed and re-emeged, I eventually had something that worked.

The Shooting Range Simulator is a web-based application designed to help users solve a logic puzzle involving scoring points by placing blocks on vertical number lines.

A buddy developer friend of mine said: "I took a quick scroll through the code. Looks pretty clean, but I didn't dive in enough to really understand it. Definitely all that css BS would take me ages to do without AI."

I don't take credit for this and don't pretend that this was my work, but I know my kiddo is excited to try the tool. I hope he learns from it and we bond over a math problem.

I know that everyone is worried about this tool, but moments like those are not nothing. Personally, I'm a Luddite and think the new tools should be deployed by the people's livelihood it will effect and not the business owners.

[-] bignose@programming.dev 10 points 4 days ago

Personally, I’m a Luddite and think the new tools should be deployed by the people’s livelihood it will effect and not the business owners.

Thank you for correctly describing what a Luddite wants and does not want.

[-] auraithx@lemmy.dbzer0.com 2 points 4 days ago

Yes, despite the irrational phobia amongst the Lemmings, AI is massively useful across a wide range of examples like you've just given as it reduces barriers to building something.

As a CS grad, the problem isn't it replacing all programmers, at least not immediately. It's that a senior software engineer can manage a bunch of AI agents, meaning there's less demand for developers overall.

Same way tools like Wix, Facebook, etc came in and killed the need for a bunch of web developers that operated in the range for small businesses.

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[-] francois@sh.itjust.works 12 points 4 days ago

Microsoft has set up copilot to make contributions for the dotnet runtime https://github.com/dotnet/runtime/pull/115762 I'm sure maintainers spends more time to review and interact with copilot than it would have to write it themselves

[-] glitchdx@lemmy.world 15 points 4 days ago

If AI was good at coding, my game would be done by now.

[-] atzanteol@sh.itjust.works 64 points 6 days ago

Have you used AI to code? You don't say "hey, write this file" and then commit it as "AI Bot 123 aibot@company.com".

You start writing a method and get auto-completes that are sometimes helpful. Or you ask the bot to write out an algorithm. Or to copy something and modify it 30 times.

You're not exactly keeping track of everything the bots did.

[-] eager_eagle@lemmy.world 55 points 6 days ago

yeah, that's... one of the points in the article

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[-] zqwzzle@lemmy.ca 8 points 6 days ago

We could see how the copilot PRs went:

[-] Corngood@lemmy.ml 7 points 6 days ago

Or to copy something and modify it 30 times.

This seems like a very bad idea. I think we just need more lisp and less AI.

[-] pinball_wizard@lemmy.zip 2 points 4 days ago

Good point.

This is the point that the "AI will do it all" crowd is missing. Current AI doesn't innovate. Full stop. It copies.

The need for new code written by folks who understand what they're writing isn't gone, and won't go away.

Whether those folks can be AI is an open question.

Whether we can ever create an AI that can actually innovate is an interesting open question, with little meaningful evidence in either direction, today.

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[-] oakey66@lemmy.world 38 points 6 days ago

It’s not good because it has no context on what is correct or not. It’s constantly making up functions that don’t exist or attributing functions to packages that don’t exist. It’s often sloppy in its responses because the source code it parrots is some amalgamation of good coding and terrible coding. If you are using this for your production projects, you will likely not be knowledgeable when it breaks, it’ll likely have security flaws, and will likely have errors in it.

[-] Excrubulent@slrpnk.net 5 points 4 days ago

And I'll keep saying this: you can't teach a neural network to understand context without creating a generalised context engine, another word for which is AGI.

Fidelity is impossible to automate.

[-] tisktisk@piefed.social 6 points 5 days ago

So you're saying I've got a shot?

[-] LeFantome@programming.dev 20 points 5 days ago

Can Open Source defend against copyright claims for AI contributions?

If I submit code to ReactOS that was trained on leaked Microsoft Windows code, what are the legal implications?

[-] proton_lynx@lemmy.world 19 points 5 days ago* (last edited 5 days ago)

what are the legal implications?

It would be so fucking nice if we could use AI to bypass copyright claims.

[-] piccolo@sh.itjust.works 8 points 4 days ago

"No officer, i did not write this code. I trained AI on copyright material and it wrote the code. So im innocent"

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[-] Blue_Morpho@lemmy.world 30 points 6 days ago

If humans are so good at coding, how come there are 8100000000 people and only 1500 are able to contribute to the Linux kernel?

I hypothesize that AI has average human coding skills.

[-] GiorgioPerlasca@lemmy.ml 19 points 6 days ago

Average drunk human coding skils

[-] HaraldvonBlauzahn@feddit.org 4 points 4 days ago

A million drunk monkeys on typewriters can write a work of Shakespeare once in a while!

But who wants to pay a 50$ theater ticket in the front seat to see a play written by monkeys?

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[-] notannpc@lemmy.world 21 points 5 days ago

AI is at its most useful in the early stages of a project. Imagine coming to the fucking ssh project with AI slop thinking it has anything of value to add 😂

[-] HaraldvonBlauzahn@feddit.org 31 points 5 days ago* (last edited 5 days ago)

The early stages of a project is exactly where you should really think hard and long about what exactly you do want to achieve, what qualities you want the software to have, what are the detailed requirements, how you test them, and how the UI should look like. And from that, you derive the architecture.

AI is fucking useless at all of that.

In all complex planned activities, laying the right groundwork and foundations is essential for success. Software engineering is no different. You won't order a bricklayer apprentice to draw the plan for a new house.

And if your difficulty is in lacking detailed knowledge of a programming language, it might be - depending on the case ! - the best approach to write a first prototype in a language you know well, so that your head is free to think about the concerns listed in paragraph 1.

[-] MonkderVierte@lemmy.ml 5 points 5 days ago

the best approach to write a first prototype in a language you know well

Ok, writing a web browser in POSIX shell using yad now.

I'm going back to TurboBASIC.

[-] HaraldvonBlauzahn@feddit.org 4 points 5 days ago* (last edited 5 days ago)

writing a web browser in POSIX shell

Not HTML but the much simpler Gemini protocol - well you could have a look at Bollux, a Gemini client written im shell, or at ereandel:

https://github.com/kr1sp1n/awesome-gemini?tab=readme-ov-file#terminal

[-] Reptorian@programming.dev 5 points 4 days ago

I'll admit I did used AI for code before, but here's the thing. I already coded for years, and I usually try everything before last resort things. And I find that approach works well. I rarely needed to go to the AI route. I used it like for .11% of my coding work, and I verified it through stress testing.

[-] Prime@lemmy.sdf.org 12 points 5 days ago

Microsoft is doing this today. I can't link it because I'm on mobile. It is in dotnet. It is not going well :)

[-] teije9 14 points 6 days ago

who makes a contribution made by aibot514. noone. people use ai for open source contributions, but more in a 'fix this bug' way not in a fully automated contribution under the name ai123 way

[-] lemmyng@lemmy.ca 41 points 6 days ago

Counter-argument: If AI code was good, the owners would create official accounts to create contributions to open source, because they would be openly demonstrating how well it does. Instead all we have is Microsoft employees being forced to use and fight with Copilot on GitHub, publicly demonstrating how terrible AI is at writing code unsupervised.

[-] Lucien@mander.xyz 14 points 6 days ago
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[-] andybytes@programming.dev 11 points 6 days ago

My theory is not a lot of people like this AI crap. They just lean into it for the fear of being left behind. Now you all think it's just gonna fail and it's gonna go bankrupt. But a lot of ideas in America are subsidized. And they don't work well, but they still go forward. It'll be you, the taxpayer, that will be funding these stupid ideas that don't work, that are hostile to our very well-being.

[-] 30p87@feddit.org 9 points 6 days ago

Ask Daniel Stenberg.

[-] thingsiplay@beehaw.org 10 points 6 days ago

Mostly closed source, because open source rarely accepts them as they are often just slop. Just assuming stuff here, I have no data.

[-] joyjoy@lemm.ee 10 points 6 days ago

And when they contribute to existing projects, their code quality is so bad, they get banned from creating more PRs.

[-] magic_lobster_party@fedia.io 9 points 6 days ago

Creator of curl just made a rant about users submitting AI slop vulnerability reports. It has gotten so bad they will reject any report they deem AI slop.

So there’s some data.

[-] HobbitFoot@thelemmy.club 7 points 6 days ago

As a dumb question from someone who doesn't code, what if closed source organizations have different needs than open source projects?

Open source projects seem to hinge a lot more on incremental improvements and change only for the benefit of users. In contrast, closed source organizations seem to use code more to quickly develop a new product or change that justifies money. Maybe closed source organizations are more willing to accept slop code that is bad but can barely work versus open source which won't?

[-] dgerard@awful.systems 13 points 5 days ago

Baldur Bjarnason (who hates AI slop) has posited precisely this:

My current theory is that the main difference between open source and closed source when it comes to the adoption of “AI” tools is that open source projects generally have to ship working code, whereas closed source only needs to ship code that runs.

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this post was submitted on 22 May 2025
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