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

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.