coyopedal

t all the audio processing happens natively (https://github.com/dashersw/coyopedal). On AI: yes, it's mostly me plus agents for the compiler. We have a team at Coyotiv that helps with everything else. I use Claude Code with Claude Opus as the main model and Sonnet subagents for parallel work, with a fair bit of Fable. I also combine this with whatever GPT model is available over Codex. During the past 6 months I've started working on the compiler, I've changed several model versions :) What makes AI perform on a compiler: Hard gates the agents can't argue with, like a diff gate that names every program whose output changed, plus conformance sweeps, a diary that captures past failures so they don't repeat, and treating a passing exit code as insufficient and the outputs get checked against Node.js behavior and unit tests. The biggest differentiator for me is, even though I'm a pretty relaxed manager for humans, I'm a heavy micro-manager for AI. I read its thinking tokens and its code live and as soon as I spot something I don't like, I intervene and guide the model to the output I want to see. It wasn't easy, Gea Stack in total I think burnt more than a million dollars in AI credits, and I've been working on it literally non-stop for 6 months.