"With LLMs you take an idea and it will drive the whole thing from the beginning all the way to the end."

Well if you think that's what it's doing - that's on you.

For gosh sakes, start with Claude Shannon's 'noisy channel problem' and consider why the notion of idea -> program is a fallacy.

That's for the Wix, Lovable and Shopify - wherein AI is only a component, and where the conditions are highly constrained.

To manage the output in detail, we need abstractions ... which do not exist.

Code -> Machine Instructions is not a noisy channel - it's deterministic.

Idea -> Code is theoretically not possible at any scale in a stable scenario because it's not deterministic, it won't make 'what you want' - then you have to spend a Million Mythical Man Hours to get it to do what you want.

Given that only a small portion of a developers job was ever 'writing code' in the first place - and that we write on average a fairly small number of 'usable lines of code' per day, the 'coding' was never it.

Research, prototypes, corners cases, help, bug fixes, ideation - so many ways it's powerful ... but not like a compiler.

Ignoring AI is like ignoring the industrial revolution, but AI is something very different than.

Also while some jobs are going to go - software hiring is up, not down - that should be a clue.