alt Hacker NewsIt's increasingly the other way around, actually. You are being sloppy if you don't use the tools available to you. Including AI, static code analysis, testing tools, etc. to check if your work is any good. That doesn't mean you have to surrender to the AI tools and blindly generate everything and then commit without testing or any form of validation. That would be sloppy. But then if you manually write your code and did that, that would be sloppy too. Whether you manually type in all your code or have it generated is immaterial. What matters is the work you do to ensure it all works as advertised and is fit to be merged.
The kernel developers are probably a bit further in their thinking then some developers. They've been dealing with many thousands of contributors for decades. Git was invented by Linus Torvalds specifically to deal with ensuring only the best patches make it into the kernel.
Somebody posted a video with Greg Kroah-Hartman last week or so commenting on how he's been dealing with all the AI generated security bug reports. His key point is that AI generated reports are meaningless unless they come with a suggested fix as well. If you are going to generate the report, you might as well generate the fix. And it's a lot easier for him to review if the fix fixes anything worth fixing then to piece together a fix from a lengthy report. The larger the report, the less likely it is to get any attention. If the person contributing can't articulate why the fix is needed or how it works, they just reject the change and toss it back. That strikes me as very pragmatic. Judge a change on its merits. Not on how it was created. A report without a suggested fix is relatively meaningless.
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100%. I think there are a lot of people here on HN that are very threatened by LLMs, rightly so. I'm also afraid of my future and my day-to-day work has already changed from "loosing myself in a flow state solving technical puzzles" to "micro-managing LLMs". I don't like it, but hope I will learn to, at some point, or perhaps I find different work. I feel like I don't have a choice right now but to adapt and learn.
The answer to this issue is not to equate any code generated by LLMs to slop. It is just not true. As you say, the latest models often flag things that I would definitely miss, or they simplify my code significantly with a just-released feature. I see benefits to code quality all day from using LLMs.
I'm just saying (not to you but to comments below): Lets keep it constructive, which means: lets keep it real, as in close to truth. Yes vibe coding exists, and it has it's place (ie in prototyping?). But not in the kernel, and also not in my own line of works. LLMs do have a place there though.
There’s such a breadth of slop quality. Like I’ve seen people using ChatGPT with thinking disabled, which is just garbage. But you can also use an LLM to do automated testing of your product, in a real browser window, where it actually sees how it looks via screenshots. That’s insanely useful.
And it can read all of the logs in the backend and browser simultaneously and understand what is causing issues. I’ve used that a few times and it is such a game changer for weird bugs.