FaceID@NIM (Neural Identity Matching), an experimental, open-source facial authentication system for Ubuntu/GNOME using Rust, C, and Python.
🔗 GitHub: https://github.com/Gaurav-x111/faceid-nim What's inside?
The main challenge
I'm focusing on secure failure handling: daemon crashes, camera failures, liveness timeouts, and ensuring errors never result in successful authentication.
🚧 Status: Pre-alpha, experimental, and not production-ready.
I'd appreciate feedback from the Linux community, especially on PAM architecture, security weaknesses, and testing priorities.
What failure cases would you test first?
source & further reading
dev.to — original article
The Enforcement Gap: measuring whether a coding agent follows its own rulebook
Your agent isn't running out of context because of one big file
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