the beautiful code
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I get a bit frustrated at it trying to replicate everyone else's code in my code base. Once my project became large enough, I felt it necessary to implement my own error handling instead of go's standard, which was not sufficient for me anymore. Copilot will respect that for a while, until I switch to a different file. At that point it will try to force standard go errors everywhere.
Yes, you can't use Copilot to generate files in your code structure way if you start from scratch. I usually start by coding a skaffold and then use Copilot to complete the rest, which works quite good most of the time. Another possibility is to create comment templates that will give instructions to Copilot. So every new Go file starts with coding structure comments and Copilot will respect that. Junior Devs might also respect that, but I am not so sure about them
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LMFAO. He's right about your ego.
thank you for your input obvious troll account.
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To be fair, if I wrote 3000 new lines of code in one shot, it probably wouldn’t run either.
LLMs are good for simple bits of logic under around 200 lines of code, or things that are strictly boilerplate. People who are trying to force it to do things beyond that are just being silly.
I am on you with this one. It is also very helpful in argument heavy libraries like plotly. If I ask a simple question like "in plotly how do I do this and that to the xaxis" etc it generally gives correct answers, saving me having to do internet research for 5-10 minutes or read documentations for functions with 1000 inputs. I even managed to get it to render a simple scene of cloud of points with some interactivity in 3js after about 30 minutes of back and forth. Not knowing much javascript, that would take me at least a couple hours. So yeah it can be useful as an assistant to someone who already knows coding (so the person can vet and debug the code).
Though if you weigh pros and cons of how LLMs are used (tons of fake internet garbage, tons of energy used, very convincing disinformation bots), I am not convinced benefits are worth the damages.
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Acting like the entire history of the philosophy of knowledge is just some attempt make “knowing” seem more nuanced is extremely arrogant.
That is not what I said. In fact, it is the opposite of what I said.
I said that treating the discussion of LLMs as a philosophical one is giving 'knowing' in the discussion of LLMs more nuance than it deserves.
wrote on last edited by [email protected]I never said discussing LLMs was itself philosophical. I said that as soon as you ask the question "but does it really know?" then you are immediately entering the territory of the theory of knowledge, whether you're talking about humans, about dogs, about bees, or, yes, about AI.
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All programs can be written with on less line of code.
All programs have at least one bug.By the logical consequences of these axioms every program can be reduced to one line of code - that doesn't work.
One day AI will get there.
The ideal code is no code at all
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Well I've got the name for my autobiography now.
"Specifically Annoying" or "Plausible Bullshit"? I'd buy the latter.
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This is a philosophical discussion and I doubt you are educated or experienced enough to contribute anything worthwhile to it.
Dude.. the point is I don't have to be. I just have to be human and use it. If it sucks, I am gonna say that.
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So its 50% better than my code?
If the code cannot uphold correctness, it is 0% better than your code.
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Its like having a junior developer with a world of confidence just change shit and spend hours breaking things and trying to fix them, while we pay big tech for the privilege of watching the chaos.
I asked chat gpt to give me a simple squid proxy config today that blocks everything except https. It confidently gave me one but of course it didnt work. It let through http and despite many attempts to get a working config that did that, it just failed.
So yeah in the end i have to learn squid syntax anyway, which i guess is fine, but I spent hours trying to get a working config because we pay for chat gpt to do exactly that....
I have a friend who swears by llms, he sais it helps him a lot. I once watched him do it, and the experience was exactly the same you described. He wasted couple of hours fighting with bullshit generator just to do everything himself anyway. I asked him wouldn't it be better to not waste the time, but he didn't really saw the problem, he gaslit himself that fighting with the idiot machine helped.
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Just to boast my old timer credentials.
There is an utility program in IBM’s mainframe operating system, z/OS, that has been there since the 60s.
It has just one assembly code instruction: a BR 14, which means basically ‘return’.
The first version was bugged and IBM had to issue a PTF (patch) to fix it.
Okay, you can't just drop that bombshell without elaborating. What sort of bug could exist in a program which contains a single return instruction?!?
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Write tests and run them, reiterate until all tests pass.
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But not just text
Also that's not converse to what the parent comment said
Did you want to converse about conversing?
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Just to boast my old timer credentials.
There is an utility program in IBM’s mainframe operating system, z/OS, that has been there since the 60s.
It has just one assembly code instruction: a BR 14, which means basically ‘return’.
The first version was bugged and IBM had to issue a PTF (patch) to fix it.
Reminds me of how in some old Unix system,
/bin/truewas a shell script....well, if it needs to just be a program that returns 0, that's a reasonable thing to do. An empty shell script returns 0.
Of course, since this was an old proprietary Unix system, the shell script had a giant header comment that said this is proprietary information and if you disclose this the lawyers will come at ya like a ton of bricks. ...never mind that this was a program that literally does nothing.
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Write tests and run them, reiterate until all tests pass.
wrote on last edited by [email protected]That doesn't sound viby to me, though. You expect people to actually code? /s
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And that's what happens when you spend a trillion dollars on an autocomplete: amazing at making things look like whatever it's imitating, but with zero understanding of why the original looked that way.
wrote on last edited by [email protected]I mean, there's about a billion ways it's been shown to have actual coherent originality at this point, and so it must have understanding of some kind. That's how I know I and other humans have understanding, after all.
What it's not is aligned to care about anything other than making plausible-looking text.
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well, it only took 2 years to go from the cursed will smith eating spaghetti video to veo3 which can make completely lifelike videos with audio. so who knows what the future holds
cursed will smith eating spaghetti video
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Okay, you can't just drop that bombshell without elaborating. What sort of bug could exist in a program which contains a single return instruction?!?
It didn’t clear the return code. In mainframe jobs, successful executions are expected to return zero (in the machine R15 register).
So in this case fixing the bug required to add an instruction instead of removing one.
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I mean, there's about a billion ways it's been shown to have actual coherent originality at this point, and so it must have understanding of some kind. That's how I know I and other humans have understanding, after all.
What it's not is aligned to care about anything other than making plausible-looking text.
Coherent originality does not point to the machine’s understanding; the human is the one capable of finding a result coherent and weighting their program to produce more results in that vein.
Your brain does not function in the same way as an artificial neural network, nor are they even in the same neighborhood of capability. John Carmack estimates the brain to be four orders of magnitude more efficient in its thinking; Andrej Karpathy says six.
And none of these tech companies even pretend that they’ve invented a caring machine that they just haven’t inspired yet. Don’t ascribe further moral and intellectual capabilities to server racks than do the people who advertise them.
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Yes, all of JetBrains' tools handle project-wide renames practically perfectly, even in weirder things like Angular projects where templates may reference variables.
Just be carerul when refactoring variable names in doc comments, I've seen some weird stuff happen there
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I am on you with this one. It is also very helpful in argument heavy libraries like plotly. If I ask a simple question like "in plotly how do I do this and that to the xaxis" etc it generally gives correct answers, saving me having to do internet research for 5-10 minutes or read documentations for functions with 1000 inputs. I even managed to get it to render a simple scene of cloud of points with some interactivity in 3js after about 30 minutes of back and forth. Not knowing much javascript, that would take me at least a couple hours. So yeah it can be useful as an assistant to someone who already knows coding (so the person can vet and debug the code).
Though if you weigh pros and cons of how LLMs are used (tons of fake internet garbage, tons of energy used, very convincing disinformation bots), I am not convinced benefits are worth the damages.
Why do you want AI to save you for learning and understanding the tools you use?
