[ares623]

I can't help but feel that this (not this specific article but the whole trend) is a little bit misguided. Nothing has fundamentally changed in engineering? We aren't committing raw markdown files in Github and having Jenkins re-inference entire systems at each push. The new AI tools still deal with the underlying mess and at some points the abstraction will leak.

It feels like Kubernetes? Yes, it allowed more complex setups but a decade later the leaky abstractions have become apparent and there are constant tradeoffs to be made with the problems it brings vs the problem it solves. But the awkward point is why was Kubernetes not a trillion dollar unicorn if it unlocked so much productivity gains?