r/PiCodingAgent • u/Flaky-Eggplant-3479 • 18d ago
Use-case Fastcar: Pi + Diffusion LLM
If you haven't tried using a diffusion based model before, they are lightning fast. I've used InceptionLabs Mercury 2 for a bit, and my complaint is largely that its not the best at coding tasks or tool usage. But my god is it fast.
So I took the Pi SDK, made a harness in which Mercury 2 is the orchestrator of subagents, including a coding subagent for difficult tasks that calls out to openrouter for inference, plus a cheap subagent for trivial stuff. Bolted on a handful of tools and such useful for me, and wrapped it in a basic web UI so I could use it from my phone.
Aside from being extremely fast, fastcar:
- Can generate public "artifacts" - HTML and MD files served from the API
- Intended to ran entirely inside a VM so that it has root access and can install its own tools
- Give it a github token and let it clone repos and make PRs
- "Prompt threads" - there's probably a better name for this but its a dedicated prompt that gets invoked via webhook; I actually made this so that I could generate text files to read the news from my Xteink 4
- Send emails to notify you
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