The developer’s LLM agents compile Rust projects continuously, filling disks with build artifacts. Rust’s target/ directories consume 2–4 GB each with incremental compilation and debuginfo, a top-three complaint in the annual Rust survey. This is amplified by the projects themselves: a sibling agent-coordination tool in the same portfolio pulls in 846 dependencies and 393,000 lines of Rust. For context, ripgrep has 61; sudo-rs was deliberately reduced from 135 to 3. Properly architected projects are lean.
I’d say it’s not a very good thing to highlight. Accessing data in-memory is faster than accessing data over a network, and you’ve built a benchmark harness to prove that. As a potential user, I am not very impressed. I think from a marketing point of view, it would be much more interesting to show how fast you can access data in-memory, and then explain the trade-offs you’ve taken to get at those speeds.
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