I agree when supplied with a broader context that he also said coding would be "solved" by now.

Sure LLM is good to develop a feature but in 90% of cases in my career the problems I was working on weren't just coding and in that part, LLMs can't do everything.

It's also important to know that a typical dev spends 400-1000$ on API tokens that aren't still profitable for them.

Sure AI's useful and it will reduce the demand for software engs. to a point, but it won't eliminate them. At least I hope. Same with other fields... let's hope?

Let's be frank. If a professional programmer is not using AI to write code at work, it's almost certainly because his employer isn't willing to pay the AI bill.

My previous company has a huge department where LLM coding is banned. The rationale is they work on really important industry secrets, as well as deal with customer's data. The risk is too high that something gets leaked.

The engineers bought the Kool-Aid.

The reality is: The company is bleeding money, and SW isn't their product (they're a HW company). They don't want to pay the bill.

You’re saying that you think less than 90% of all core today is being written by LLMs?

I guess it depends on how you look at it, since AI tooling can generate so much code. There are a lot of project on GitHub that are heavy on AI tooling use but are they really being used? If we count them, that does inflate the amount of total code in existence.

In terms of code out there, in the world doing actual work, I'm skeptical that the amount of AI generated code is as high as 90%. In terms of model generating production code without human interaction (i.e. wholly replacing the software developer) I think we've fallen far short of his prediction.