The post you are responding to literally acknowledges that LLMs are useful in certain roles in coding in the first sentence.
> Like how many people need to say that they find it makes them more productive before you'll shift your perspective?
Argumentum ad populum is not a good way of establishing fact claims beyond the fact of a belief being popular.
If everyone has an opinion different to mine, I dont instantly change my opinion, but I do try and investigate the source of the difference, to find out what I'm missing or what they are missing.
The polarisation between people that find LLMs useful or not is very similar to the polarisation between people that find automated testing useful or not, and I have a suspicion they have the same underlying cause.
So far what I see is that if I provide lots of context and clear instructions to a mostly non-logical area of code, I can speed myself up about 20-40%, but only works in about 30-50% of the problems I solve day to day at a day job.
So basically - it’s about a rough 20% improvement in my productivity - because I spend most of my time of the difficult things it can’t do anyway.
Meanwhile these companies are raising billion dollar seed rounds and telling us that all programming will be done by AI by next year.
Which is the same thing they said last year, and hasn't panned out. But surely this time it'll be right...
Just because two people are fixing something on the whole doesn't mean the same tool will hold fine. Gum, pushpin, nail, screw,bolts?
The parent thread did mention they use LLM successfully in small side project.
LLMs are useful, just not for every task and price point.
Code is a liability. Code you didn't write is a ticking time bomb.
It’s self delusion. And also the pace of AI is so fast he may not be aware of how fast LLMs are integrating into our coding environments. Like 1 year ago what he said could be somewhat true but right now what he said is clearly not true at all.