I'd separate "coding" from software engineering. Software engineering is not solved. The new challenge in software engineering is how to properly use AI to maximum leverage and nobody has solved that.

But, "coding" is, except that solving it means using techniques that are still barely understood and barely described today (something I'm hoping to be able to communicate better myself about). It is now possible (at least for most consumer software, I would not say applications where human life or extreme risk is involved) to work exclusively in the domain of natural language requirements, natural language architectural/design decisions, and natural language test cases, and deliver product of equal or better software quality than average human code authors could have produced. Even in a language that you plausibly don't actually know how to code in, because the language itself can often be separable from the requirements and verification process.

If someone who doesn't know a language or framework can plausibly produce better software using it, and faster, than a team of people who do know the language/framework (and I would strongly argue that is more than plausible now with models like Astra and Fable) then it's not just "coding is less expensive."

It's like saying computers make complex calculations less expensive. That's true, but it's missing the real paradigm shift.