I suppose I shouldn't be surprised at the negative response here, but personally this seems like the perfect application of LLMs. Yeah, it'll need to be verified by humans, but so would human-translated code. Using an appropriately trained LLM to do the first pass translation has the potential to eliminate a lot of toil.
Rust is heavily based on Ruby’s design
I would not say "heavily based". Literally only the closure/lambda syntax, which is cosmetic. Rust is mainly inspired by ML-family languages and C++.
I think Ruby is a reasonable choice for small scripts which someone might otherwise use Python for. But Rust is very well suited to more complicated or long-lasting command-line tools, especially if performance is at all a concern. Clap alone is super nice, but there are a lot of awesome libraries for making rich CLI tools easily.
And like....a hundred more I could mention. Idk, for anything that's not completely trivial, which will be used and maintained by humans and not thrown away, Rust is really nice.
Hmm...
???!!!
Oh. It's a bit cheeky to do runtime ref counting under the hood and then go and say you don't rely on garbage collection. It's not a full tracing garbage collector - it's worse, it lets you create dangling references and then panics at runtime.
Inko looks interesting, for sure, as a Rust-lite that makes some kinds of code easier to write at the cost of more potential panics (safer, maybe...but desirable?). I'm not sure it's for me though.