It is an interesting diametric inversion: before AI, you had people designing good code from the ground up for the love of the game and you had businesses cutting corner due to budgets.

Now you have AI infilitrating both sectors, and well.

Ok, so it's probably going to be the same problem. With AI, I can now explore more docs and more tests, and push out into the edge cases, all because I've got a local LLM and have no real worry about electricity costs.

Businesses on the other hand, will be addicted to LLMs and will have token budgets and will soon enough go back to just good enough software designs.

I think so. Two traditional and _almost_ disjoint sets, the technology realm and the business realm, will start to (be forced to?) have much greater overlap. There have always been political battles along the boundary, but this upcoming one will be bloody and long. The current structures and control mechanisms will have to change appreciably for any of the promises of AI to be realized.

Im not sure thats why businesses are straying from more LLM use.

Finding where AI is moving the needle has been hard, if not impossible.

Because code, by it self has never moved the needle. It's the product, what the code does that moves the needle.

Building the wrong thing, faster, is just a speed run to a legacy code base. That isnt your development teams fault.