[brap]

This is an approach I strongly believe in.

For 99% of things, language performance doesn't really matter (it's usually cheaper to just scale up). So you might as well focus on developer experience and hire-ability.

For the 1% where it does matter, drop down to something like Rust, and use the developer-friendly language above as glue.

You see it a lot in Python, where the performance of the runtime itself is kinda crap, but it doesn't matter because it's very developer-friendly. It became the #1 language for high performance data science, thanks to libraries that use C and stuff under the hood.

[pg_1234]

Elixir doesn't offer an easily benchmarkable performance boost the way Rust does.

It does offer a boost, but in the form of system reliability in a concurrent environment. This kind of advantage is seldom properly evaluated until AFTER you have a disaster ... by which time you are typically committed to different stack.