This is true if the token budget and time are not taken into account. In practice though, waiting minutes instead of seconds per build multiplied by prompt and again by change adds up very fast.
1.5s for a massive project, on a laptop,like the OP said is still barely anything in the context of agentic coding. It’s less than a single percentage point of the total time in the loop, even if the agent has to compile multiple times.
This is cope.
I do give you that rust is more verbose and thus more token heavy. However that verbosity is meaningful and the LLM would have to spend tokens thinking about the code to understand less verbose languages. So I’d consider that a wash - in some cases it hurts and in some it helps.
We don’t know how massive the project is, but in any case building and immediately building again of course will be fast. How fast is it if all files have a single line changed, for example refactoring a log message?
Not to mention we haven't even gotten to discussing tests.
My point is that it isn't necessarily that fast. It is relative to the amount of changes and where they were made. For a fair comparison you would also have to present the worst case incremental build time which approaches the full build time (this goes for Go too), which per your own example is nearly a minute for rust.
> For a fair comparison you would also have to present the worst case incremental build time which approaches the full build time (this goes for Go too)
The worst case that would approach a non-incremental build time would be if you were editing a leaf crate. But in almost all cases the leaf crates are 3rd-party dependencies that you would never edit directly.
A real-world worst case is probably more like ~10-20% of an non-incremental builds.
A quick measurement on my web browser project with almost 600 dependencies:
- A clean "cargo check" was 31s
- An incremental "cargo check" with a meaningful change was 1.5s
Building is a little slower:
- A clean "cargo build" was 56.01s
- An incremental "cargo build" was 4s
But I find that LLMs are mostly calling "check" on Rust code.
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That's on an Apple M1 Pro. The latest M4/M5 machines as ~twice as fast.