Twitter/X

SynthTraces, launched by @julien_c on 2026-06-04, is a minimal codebase that…

2026-06-04 · 13:18 UTC ·@julien_c ·1 min read

Brief

SynthTraces, launched by @julien_c on 2026-06-04, is a minimal codebase that generates synthetic coding-agent session traces using Pi (from @badlogicgames). It pairs an open model via Hugging Face Inference Providers (with read and bash access to Hugging Face OSS repos) and a local llama.cpp user simulator, producing 2,000+ traces published on Hugging Face for LLM training and Pi optimization.

Source evidence

Today I'm launching a new project called SynthTraces 🔥

It is a minimal codebase to generate synthetic coding agent session traces using Pi (from @badlogicgames)

I wanted a large number of coding-agent traces, so I built a tiny harness where two models talk to each other:

  • an open model (served via HF Inference Providers) plays the coding agent. It gets read + bash access to a real open source codebase (the huggingface OSS projects)
  • a small local model (llama.cpp) plays the human user, asking simple questions like "how do I run this?" or "how is CI set up?"

The result is more than 2,000 Pi session traces which can be used to train or fine-tune LLMs, and optimize them for Pi 🤯

And ofc everything is published on @huggingface ✅