Similar simplicity but in rust: https://github.com/fdietze/alors
Readit Newsmanx commented on Agent-C: a 4KB AI agent github.com/bravenewxyz/ag... · Posted by u/liszper
I'm also in the process of creating a general purpose agent cli+library in rust: https://github.com/fdietze/alors
Still work in progress, but I'm already using it to code itself. Feedback welcome.
I also created my own. Frontend-only, no signup, based on openrouter, written in rust+leptos (wasm):
Project Frottage: An automated constant stream of high quality AI wallpapers for mobile and desktop.
We manually curate a list of ~150 prompts. Every 6h a random prompt is selected, a picture generated and uploaded to static hosting, free to use:
https://frottage.app/static/wallpaper-mobile-latest.jpg
https://frottage.app/static/wallpaper-desktop-latest.jpg
https://frottage.app/static/wallpaper-desktop-light-latest.j...
We just finished an android app, to set the wallpaper automatically on mobile: https://play.google.com/store/apps/details?id=com.frottage
Every mention of Github Actions is an occasion to start looking for the best alternative in <current_month>, let's go!
Is Dagger usable yet? Is there still hope for Earthly? Are general purpose workflow systems winning any time soon, or are we still afraid of writing code? Any new systems out there that cover all the totally basic features like running locally, unlike Github Actions?
I think we could build something on top of nix that is as easy to use and powerful as earthly, but gets all the nice stuff from nix: reproducibility, caching, just use any command from any nix package, etc
manx commented on Any program can be a GitHub Actions shell yossarian.net/til/post/an... · Posted by u/woodruffw
In my experience, the default VM size is so slow, you probably don't want Nix on a workflow that doesn't already take minutes.
Even with a binary cache (we used R2), installing Lix, Devbox and some common tools costs us 2 1/2 minutes. Just evaluating the derivation takes ~20-30 seconds.
Is there a way to cache the derivation evaluation?
To align AI with humans, it might make sense to align humans first.