This strikes me as a very agent-friendly problem. Given a harness that enforces sufficiently-rigorous tests, I'm sure you could spin up an agent loop that methodically churns through these functions one by one, finishing in a few days.
The same goes for TLA+ and all the other obscure things people think would be great to use with LLMs, and they would, if there was as much training data as there was for JavaScript and Python.
Claude getting the ArrayList API wrong every time was a major reason why
It’s AI generated but should help. I need to test and review it more (noticed it mentions async which isn’t in 0.15.x :| )
https://github.com/ityonemo/clr
[0] generates a dynamically loaded library which does sketchy shit to access the binary representation of datastructures in the zig compiler, and then transpiles the IR to zig code which has to be rerun to do the analysis.