It's not about turning out the necessary lines of code. It's about doing the critical thinking, validating of assumptions, etc. which was not done the first time around.

Yes, AI can assist with the brute force of broad scale factoring. But without the humans and domain experts involved, you are going to either keep flailing around at the cost of millions of tokens, or something actually really bad in production that you don't even understand and won't work for your business.

The lines of code have never been a bottleneck for the actual engineering team. That's why AI is so good for expediting the prototype cycle and allowing stakeholders to develop their own prototypes, but why you still need someone who actually knows what they're doing to finish the project, whether they are manually typing the lines of code or letting Claude do it.