sayna

I have used https://github.com/SaynaAI/sayna . What I like the most is that you can switch between the providers easily and see what works for you the best. It also supports local models.

TBH, the idea seems way outdated for the current state of software engineering. The Rust compiler provides a massive benefit for AI Coding because it literally catches all the failure cases, so all AI have to do is implement the logical parts, which is usually a no-brainer for something like a Claude Code or Codex. For example, the https://github.com/SaynaAI/sayna has been mostly Claude Code + me reviewing the stuff + some small manual touches if needed, but for the most part, I have found that Claude Code writes way more stable Rust code than JS. It would be easier and safer to give the JS code to a translator and have it translate it into Rust, and then continue AI Dev with Rust, than to invest time in an automated compiler from JS to Rust. IMHO!

I used the MIT license for https://github.com/SaynaAI/sayna mainly because the challenge is usually in product velocity and direct sales/distribution. Blocking from SaaS is explicitly entirely redundant. Making software is getting cheaper, so this kind of license would not protect against someone reverse-engineering the SaaS tool in a week. It is better to be abstracted away from those type of things IMHO

Ah nice! I should integrate this into https://github.com/SaynaAI/sayna ``` Performant. Do the best we can within what is conformant. ``` Would be great to have benchmarks like ops/second