> The article makes claims about software being "fast enough" and not needing further optimization. But what you call "fast enough" is probably 10000 times slow

> The article makes claims about software being "fast enough" and not needing further optimization. But what you call "fast enough" is probably 10000 times slower than what it could be. As a fun project, I started writing some code to do calculations on matrices. Wrote it in Python and used Numpy. Then I wrote it in Julia. Almost immediately it was a 100x improvement. I spent time doing "premature optimization" and netted a 10x improvement. So overall it went from minutes to milliseconds. I guess if you're writing a website or something then I wouldn't worry, but for other things, doing optimization from the get-go can save you a ton of time and effort later on. And really, such optimizations can affect the architecture in ways you wouldn't think of without it. Reworking your architecture down the road is a huge time sink. I like to make sure mine is close to where I want it to be in the beginning.