oct

aditional state machine graph. But yeah, if your target is embedded/bare-metal application for robotics, since Oct really isn't designed for it, maybe you would like to check out what I'm currently working on, the Concept programming language? https://github.com/yuechen-li-dev/Concept/

tration with academic code and specifically reproducibility, with Python and Matlab in particular. But it turns out the same design choices that was made to prevent bad patterns from academic code also made it pretty good for LLM coding: statically typed, immutable by default, GC'd with fast compile and runtime because it compiles to Go, along with features designed for scientific compute like SI units and builtin graphing etc. But now it just took a life of its own, so it has extra features like templates/concepts, iterators, async/await, database query, build system for C/C++, SystemVerilog/WASM(WIP) codegen, LaTeX/pdf generation etc. None of them were features that were developed in isolation of "what an LLM agent might want to write" but to address a specific problem that I had encountered or to address specific failure modes that Codex/Claude actually had. That's why I think Oct is probably one of the better languages for AI to write/generate, not because it was designed to be AI friendly in abstract, but that it's developed against how AI actually writes code, even though again, it is still very much a work in progress.