AI audits are utterly helpful to find bugs. Many people here in the forum have different accounts with different LLM providers, and from the software I developed in the past I can say that it seems that different AIs find different bugs.
So I was thinking maybe we could come up with a system where users can post (helpful) AI audits of Qubes and the software it uses here in the forum or similar (or open bug reports on github, whatever makes most sense).
I am sure the Qubes Team has LLM accounts too (or runs their own LLMs). But I’d love to help there. I assume they don’t have accounts with all the large providers. Or maybe they do, in which case (if this proposal doesn’t make sense for your development workflow of Qubes), please let me know ![]()
I would still love to run an AI audit of Qubes (and all software around it) every now and then, but I kind of lack the (proper) prompt for it. What I’ve learned from my own software is that a AUDIT-README.md or similar is quite helpful, where one can list common false positives, or “push the AI in the right direction” in some cases.
Maybe we can have something like this for Qubes? Maybe a list of all github repos it should scan, as well as a AUDIT-README.md in each of them with the corresponding prompt? Or we just post the prompts and list the github repos here or so. I’m not sure how to best organize something like this, as I’m not familiar with maintaining a project as large as Qubes.
The goal would be that the Qubes community could run audits each time a new model comes out - as this is without a doubt what the other side does too.
What do you guys think?