alt Hacker News> not something that is easy to get when generating from a language which does not itself have lifetimes
Not easy, but there are compilers that do it.
Lobster [0] started out with automatic reference counting. It has inferred static typing, specialising functions based on type, reminiscent of how Javascript JIT compilers do it. Then the type inference engine was expanded to also specialise functions based on ownership/borrowing type of its arguments. RC is still done for variables that don't fit into the ownership system but the executed ops overall got greatly reduced. The trade-off is increased code size.
I have read a few older papers about eliding reference counting ops which seem to be resulting in similar elisions, except that those had not been expressed in terms of ownership/borrowing.
I think newer versions of the Swift compiler too infer lifetimes to some extent.
When emitting Rust you could now also use reference counting smart pointers, even with cycle detection [1]. Personally I'm interested in how ownership information could be used to optimise tracing GC.
[0]:https://aardappel.github.io/lobster/memory_management.html
[1]:https://www.semanticscholar.org/paper/Breadth-first-Cycle-Co...
I was also reading through lobsters Memory management, which (i think) currently implements "borrow first" semantics, to do away with a lot of run-time reference counting logic, which i think is a very practical approach. Also i have doubts if reference counting overhead ever becomes too much for some languages to never consider RC ?
Tangentially, i was experimenting with a runtime library to expose such "borrow-first" semantics, such "lents" can be easily copied on a new thread stack to access shared memory, and are not involved in RC . Race-conditions detection helps to share memory without any explicit move to a new thread. It seems to work well for simpler data-structures like sequence/vectors/strings/dictionary, but have not figured a proper way to handle recursive/dynamic data-structures!