story
if they were forced to use slow machines, they would not be able to put out crap like that
> if they were forced to use slow machines, they would not be able to put out crap like that
Lots of developers are rather obsessed with writing good, performant code. The problem is rather that many project managers do not let them do these insane optimizations because they take time.
The only things that forcing developers to use slow machines will bring is developers quitting (and quite a lot of them would actually love to see the person responsible for this decision dead (I'm not joking) because he made the developers' job a hell on earth).
What you should rather do if you want performant software is to fire all the project managers who don't give the developers the necessary time (or don't encourage the developers) to write highly optimized code (i.e. those idiot project managers who argue with "pragmatism" concerning this point).
No they don't. It's literally just a skill issue.
To give just one simple example: to get the textbook complexity bound for the Dijkstra algorithm, you need some fancy mergeable heap data structures which are much more complicated, and thus time-intense to implement than the naive implementation.
Or you can get insane low-level optimizations by using the SIMD instructions that modern processors provide. Unluckily, this takes a lot of time and leads to code that is not easy to understand (and thus not easy to write) for "classically trained" programmers.
Yes, you indeed need a lot of skills to write such very fast algorithms, but even for such ultra-smart programmers, finding and applying such optimizations need a lot of development time, which is why this is often only done for code parts that are insanely computation-intense and performance-critical such as video (and sometimes audio) codecs.
Now you CAN so it so that is not the case, but tbh i have never seen that in the wild -
This is such a tired trope.
The reality is both can be slow, it depends on your data access patterns, network usage, and architecture.
But the other reality is that SPAs and REST APIs just usually have less optimal network usage and much worse data access patterns than traditional DB connected SSR monoliths. Same goes for micro service.
Like, you could design a highly scalable and optimal SPA. Who's doing it? Almost nobody.
No, instead they're making basically one endpoint per DB table, recreating SQL queries in client side memory, duplicating complex business logic on the front and back end, and sending 50 requests to load an dashboard.
GitHub is big software, but not that big. Huge monorepos and big big diffs grind GitHub to a pulp.
