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I've been thinking a lot about a solution to Rust's notoriously slow compile times. From my research, it's not the borrow checker that is the issue, it's the heavy optimizations and monomorphization, and macro expansion [0]. There are efforts to improve Rust compile times, but I realized recently that it will never be lightning fast, so we (Rust users) should really be developing more scripting languages and DSLs that we can put all of the fiddly bits into.

Places where we would benefit the most from this is in the Games and UI space. I know game devs have already started by integrating lua, like with mlua [1]. In the UI space i think Makepad is the best example of a team making a dedicated DSL that can be hot-reloaded [2].

I think we need more of this! Go make a DSL next time you feel crushed by the weight of compiling Rust crates!

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[0] and by my research i mean Claude. this is a great blog with many posts about improving compile times https://nnethercote.github.io/

[1] https://crates.io/crates/mlua . I don't have a reference for a project using it though so please reply if you know of one!

[2] https://github.com/makepad/makepad


khvzak has compiled some benchmarks. mlua and roto are some of the fastest: https://github.com/khvzak/script-bench-rs

Drew was CEO for almost 20 years right? that's a heck of a run!

Quite a footnote [0]:

> I do not know if it is me being bored with the project, or annoyed with having to build and design a data structure, that has soured me on this project. But I have really at this point lost most motivation to continue this chapter. The way Zig is designed, it makes me deal with the data structure and memory management complexity head on, and it is tiresome. It is not "simpler" than, say, Rust: it just leaves the programmer to deal with the complexity, <strike-through>gaslighting the user</strike-through> claiming it is absolutely necessary.

[0] https://github.com/asibahi/paella/blob/main/writeup/c19.md#u...


any tips for running it locally within an agent harness? maybe using pi or opencode?


It pretty much just works. Run the unsloth quant in llama.cpp and hook it up to pi. A bunch of minor annoyances like not having support for thinking effort. It also defaults to "interleaved thinking" (thinking blocks get stripped from context), set `"chat_template_kwargs": {"preserve_thinking": True},` if you interrupt the model often and don't want it to forget what it was thinking.


i agree and this matches the authors intent: https://lwn.net/Articles/1049840/


He didn't intend it as a joke and his intent matches the op's title revision request: https://lwn.net/Articles/1049840/


love to hear good news even if it's a relatively small sample size. anecdotal, but i've heard that the antioxidants in fresh ground coffee is also very good!


Now CA needs one


They have LTSE (Long Term Stock Exchange).


not sure why the title was renamed, but i thought this was interesting primarily because it's the early work of Rich Hickey, famous for making the Clojure language.


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