Wish Pi (and Opencode, DeepSeek Harness, Claude, Claude Desktop, Codex Desktop) was written in a memory and performance efficient language.
I love alternatives to the big players but why is everything written in TypeScript or Python and takes up a gigabyte of ram.
I don't want to `npm install -g` something, just give me a single statically compiled binary that does the thing.
AI lowers the barrier of entry to Rust to virtually 0. As a side experiment, I have been rewriting Codex Desktop in Rust using native desktop APIs (gpui) and have made a cross platform copy that works on Windows, Linux, and MacOS. It runs at 120+fps and uses 40mb of ram. It's not that hard.
In a previous life, before the layoff times, I was working on a FaaS platform. If you need plugins, embed v8, quickjs or wasmtime/wasmer/etc.
People are acting like AI didn't eat up all the RAM on Earth. I had to sell my left kidney for the 8gb ram upgrade in my MacBook
apatheticonion · · focus · HN ↗
I love alternatives to the big players but why is everything written in TypeScript or Python and takes up a gigabyte of ram.
I don't want to `npm install -g` something, just give me a single statically compiled binary that does the thing.
AI lowers the barrier of entry to Rust to virtually 0. As a side experiment, I have been rewriting Codex Desktop in Rust using native desktop APIs (gpui) and have made a cross platform copy that works on Windows, Linux, and MacOS. It runs at 120+fps and uses 40mb of ram. It's not that hard.
In a previous life, before the layoff times, I was working on a FaaS platform. If you need plugins, embed v8, quickjs or wasmtime/wasmer/etc.
People are acting like AI didn't eat up all the RAM on Earth. I had to sell my left kidney for the 8gb ram upgrade in my MacBook
solarkraft · · focus · HN ↗
Not really. It lowers it, sure. By a lot even. But you still have the system requirement for compilation and ecosystem to deal with.