That has always been true. AI doesn't change it. It just rearranges some elements that come ahead of that understanding. The volume and velocity are challenges but the understanding and judgement is what separates the good and the great.
BTW: "systems" in my world include not just the technology components but also the humans who operate, adjust and manage all the pieces, and the processes that control it all.
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.
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.
Never a truer word said. It's the only thing that moves the needle.
I'm not sure that businesses are straying from AI. I reckon everyone's on board. but AI is now accessible to the business folks - callow as they are to the requirements of the technology components - and it's bound to run up against the technology folks trying to wave them off when enthusiastic excesses threaten what the code does, now or in the future. There'll be adjustments on both sides.
https://olakai.ai/blog/uber-ai-budget-blowout/
https://www.404media.co/companies-are-throttling-employees-a...
Clamping down might be a better choice of words here.
I think what most of the HN set misses is that there is a ton of code being written that they just don't see. It's code that prior to AI never would have existed. That expensive programing resource (this is most of us) doesn't have time to go whip up those time saving scripts for the people in accounting and marketing who need them. And it's not like these people are gonna gab that they saved themselves 3 hours a week with some basic python. They are gonna take that time back and shut up about it.