The code is written in an embedded style, i.e. no dynamic memory allocation or thread creation/deletion after program initialization. It's also prioritizing reducing memory usage over performance since we are targeting memory constrained devices (and our performance target is 10 tps and we have like 100k tps). Thus we'd use trait objects over monomorphization. Dynamic collections are also off the table unless backed by a fixed-size arena on the stack or static mem.

We heavily use arenas. We also have runtime-typed objects used to represent dynamically typed data like that obtained from JSON/Yaml or over IPC. If we were to be more friendly to modeling in Rust, we'd likely require that all memory reachable from an object node be in the same arena, disallowing common patterns like having list/map's arrays in one arena and having keys/strings in another or in static mem (this allows reusing other buffers without forcing copying all the data, so backing arrays can be smaller).