/s
All the bootcamp cargo culting crew have pumped these lies such as "the language doesn't matter" or "learn coding in 1 week for a SWE job with JS / TS" and it has caused the increase in low quality software and with several developers asking how to improve or add "performance" optimizations as such.
What we have just seen is that the TS team has admitted that a limit has been reached and *almost always* the solution is either porting it to a compiled language or relying on scaling with new computers with new processors in accordance to Moore's Law to get performance for free.
Now the bootcampers are rediscovering why we need "static typing" and why a "compiled language" is more performant than a VM-based language.
All the time spent trying to optimize JITs for JavaScript engines, or alternative Python implementations (e.g., PyPy), and fruitless efforts like trying to get JVMs to start fast enough for use in cloud "lambda function" applications. Ugh...
This is how we got Graal, why would you call it "fruitless effort"?
Every time I've said that languages like Python, JavaScript, and basically any other language where it's hard to avoid heap allocations, pointer chasing, and copious data copies are all slow, there are plenty of people who come out of the woodwork to inform me that it's all negligible.
To be a little bit fair to those people, I have been in many situations where people go "my matlab/python code is too slow, I must re-write it in C", and I've been able to get an order of magnitude improvement by re-writing the code in the same language. Hell I've ported terrible Fortran code to python/numpy and gotten significant performance improvement. Of course taking that well written code and re-writing that in well written C will probably give you a further order of magnitude improvement. Fast code in a slow language can beat slow code in a fast language, but obviously never beat fast code in a fast language.
