this post was submitted on 16 Oct 2026
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Yea I'm sure when Google came out "Real Programmers" were angry at all these people just looking up solutions to their coding issues, and using Stack Overflow instead of studying the API or books.
Only to be replaced by people that embraced the new technology.
I think you have to make a distinction here:
It makes a huge difference whether you know what you’re doing and can work more efficiently thanks to the new technology... or whether you have no idea and think the new technology is a magic wand that can solve everything (which you only think because you have no clue about the subject and therefore believe that whatever the new technology produces is good or desirable).
To stick with your example: Someone who couldn’t code before didn’t suddenly learn how to do it on their own just because of StackOverflow; it just made things easier for people who already had some knowledge but were simply lacking the specific know-how.
In this case, I’d cautiously assume that Torvald can judge what makes sense (within his area of expertise) and what doesn’t.
I think that is still true today with AI just to a lesser degree.
After google many people could copy templates, change a few things and boom they "Built a Website"
It's pretty obvious when someone who has no clue, just used AI to slop out code or something. And it's often riddled with bugs and issues.
Where as someone with say 10+ Years experience in coding, can use AI to do their job a lot faster and better, and denying that is delusional and you will fall behind - !RemindMe 5 years
Eg. I can just throw my error logs and repo at a local hosted AI, and it will find the bug significantly faster than I would have.
Presies.
Having an AI help you code is like getting your six-year-old to help you put a shelf on the wall. Undirected, they're just going to make a huge mess for you to clean up later. Given specific tasks within their abilities, they can actually make it both go faster and be an altogether more pleasant experience.
With direction and an operator who knows its limits, AI can be used to semi-automate many boring tasks. One of the things I've got set up in some of my open source projects is an LLM that takes bug reports and turns them into regression tests. I don't always end up committing the AI-generated test (sometimes it's very slow and I can better pinpoint the behaviour and target a test at that), but it helps because I don't have to do that scaffolding myself, and I can just immediately jump into a debugger.