Operating systems developers should be looking to profile everything. Benchmarking and profiling used to be horribly time-consuming; nowadays, with agents, this is almost trivial. Then valuable engineer time can be spent looking at actually solving and optimising the workloads, from the kernel, to drivers, to user-mode libraries, to vendored applications.
About a decade ago programming was expensive, and we decided writing everything in JavaScript was OK, and wasted everyone's memory instead of using programmer time to write fast and efficient native applications. This is no longer the case.
Depends.
There is a lot of value in man-made software where the man knows exactly what happened where when why.
If you just revibe in rust, you get something that works at this point in time, but this deep architectural knowledge is completely lost and you're at the mercy of Dario not locking down your account for wrongthink.
That can still be fine for smaller tools where the cost of recreating them from scratch is alright, but revibing your core business thingy is likely a horrible idea, which I encourage people to do, as I'd love to have the business opportunity to take over their frustrated customerbase ca 5 years from now.
I've mentioned in another comment, but my biggest pet peeve is that AI agent applications (Claude, GPT, etc) are themselves just Electron wrappers over their web pages. What a waste.
Inference cannot be controlled. The models are already out there. It's too late.
That needs claude-like capabilities.
It also should not be done at all. But that approach needs it.
Using open weights models like GLM-5.3 can also speed up rewriting, but then you're rewriting and not revibing, which is a lot slower.