alt Hacker NewsI'm still waiting for the multi-years success stories. Greenfield solutions are always easy (which is why we have frameworks that automate them). But maintaining solutions over years is always the true test of any technologies.
It's already telling that nothing has staying power in the LLMs world (other than the chat box). Once the limitations can no longer be hidden by the hype and the true cost is revealed, there's always a next thing to pivot to.
That's a good point. My best guess is the companies that have poor AI infrastructure will either collapse or spend a lot of resources on senior engineers to either fix or rewrite. And the ones that have good AI infrastructure will try to vibe code themselves out of whatever holes they dig themselves into, potentially spending more on tokens than head count.