Every time I test and LLM solution and am pleased with how well it works, and I look at the code and it looks reasonable, it’s a lie. It may work, and even look okay, but unless the change was minuscule it’s always doing weird things when I look closely. By the time I’m done fixing the code I could have done it significantly faster myself.
Edit: in case anyone is wondering I only ever use frontier models (the anthropic and openAI ones), I have unlimited access to them from work and mandates to use them.
The only way it helps me is when I basically use it as a search engine, and it generates some wonky code that I have to fix. For example, instead of checking how you override the mouse in c# in a godot node, it gives me a basic blueprint of that (usually with unnecessary stuff added), that I then change and use.
Or recursively scan a folder in python.
It never gives you exactly what you want, but it often has the underlying structure. It’s like going to stack overflow but a bit faster.
I do agree it’s pretty helpful for remembering things I don’t use often or finding APIs for things I haven’t done before. Also not a bad rubber duck. Not worth burning the planet for, but smaller local models that can handle this job I’d be happy to have in my workflow
Not the case for me. I even let an AI basically generate the whole project and it mostly worked. I found it didn’t work well with IPv6, but my server doesn’t have an IPv6 address. Nevertheless, I just asked the AI to fix the bug.
You let it generate the whole project likely because you are incapable of doing it yourself.
The OP you’re responding to, like most of us that dislike AI slop, don’t use it because it can do things we can’t. We used it because it was supposed to be a productivity booster.
While it does generate code quickly, it’s not at the level of quality we would write, and because of that, we’re constantly having to tweak and refactor it afterwards, losing any productivity gains.
I wrote the same thing as shell scripts, but to use capabilites instead of running it as root, I needed to generate an executable. So it’s not like I didn’t have a worse solution already in place. Whether or not I can write it is irrelevant, I didn’t want to spend the time to do it myself if AI didn’t generate it for me
Every time I test and LLM solution and am pleased with how well it works, and I look at the code and it looks reasonable, it’s a lie. It may work, and even look okay, but unless the change was minuscule it’s always doing weird things when I look closely. By the time I’m done fixing the code I could have done it significantly faster myself.
Edit: in case anyone is wondering I only ever use frontier models (the anthropic and openAI ones), I have unlimited access to them from work and mandates to use them.
The only way it helps me is when I basically use it as a search engine, and it generates some wonky code that I have to fix. For example, instead of checking how you override the mouse in c# in a godot node, it gives me a basic blueprint of that (usually with unnecessary stuff added), that I then change and use.
Or recursively scan a folder in python.
It never gives you exactly what you want, but it often has the underlying structure. It’s like going to stack overflow but a bit faster.
I do agree it’s pretty helpful for remembering things I don’t use often or finding APIs for things I haven’t done before. Also not a bad rubber duck. Not worth burning the planet for, but smaller local models that can handle this job I’d be happy to have in my workflow
Not the case for me. I even let an AI basically generate the whole project and it mostly worked. I found it didn’t work well with IPv6, but my server doesn’t have an IPv6 address. Nevertheless, I just asked the AI to fix the bug.
No chance I actually do all the work myself
You let it generate the whole project likely because you are incapable of doing it yourself.
The OP you’re responding to, like most of us that dislike AI slop, don’t use it because it can do things we can’t. We used it because it was supposed to be a productivity booster.
While it does generate code quickly, it’s not at the level of quality we would write, and because of that, we’re constantly having to tweak and refactor it afterwards, losing any productivity gains.
I wrote the same thing as shell scripts, but to use capabilites instead of running it as root, I needed to generate an executable. So it’s not like I didn’t have a worse solution already in place. Whether or not I can write it is irrelevant, I didn’t want to spend the time to do it myself if AI didn’t generate it for me
You clearly don’t know remotely enough to understand the generated code. People with more than half a brain also don’t call a slop bot “AI”
And you know this how, exactly?
and how does larping as a programmer work out for you?
If I’m LARPing as a programmer, then ask the more reason to use AI
https://nest.pijul.com/iopq/proxy
This is the project in question. It’s not a secret or anything
that website gave me eye cancer
There’s no readme so I don’t really understand what this is for. Plenty of proxy solutions already exist…