Hardware-aware performance is back on people's minds
"It's the memory latency, stupid" prompted a commenter whose team runs message passing, deep C++ virtual hierarchies and large DOMs on an STM32MP1, with the predictable pain. Others pointed to the classic cpumemory.pdf and said the proposed fix was basically a clustered or locality-sensitive hashmap. A brief history of JIT compilation from 1960 to 2000 also made the page, and the AI cost of JavaScript frameworks thread praised Astro's zero client-side JS.
The pattern: with inference costs, token budgets and cheap edge hardware, efficiency is a business line again, not a purist hobby. Framework bloat now costs money twice, in user latency and in agent tokens.
Some in the memory-latency thread felt the solution wasn't an order of magnitude better, so expect the enthusiasm to be about the mindset more than any one trick.
So what?
Cheaper, simpler, lower-overhead stacks win both on user speed and on AI tooling cost. Review where your architecture burns memory and tokens before you scale it.