I started this as a personal project to help with monitoring my personal projects. The eBPF monitoring works well - that part is solid.
The AI part is experimental, especially the idea of running inference on CPU (can't afford GPUs and didn't want to rely on OpenAI APIs, though that's where it started). It's hit-or-miss depending on the model.
Not production-tested at scale - just sharing in case it's useful to others who want to tinker with eBPF + Rust.
Full transparency: I did use AI to help write the documentation because honestly, writing docs feels boring and will review thoroughly now based on your feedback
Open sourcing something for the first times so trying and learning
It does seem super cool! But if you aren't even editing the basic README.md - it's not that you used AI to help, but that you that you didn't even do the most basic editing, I don't know what to trust. If I can't trust the docs why spend my time?