I wrote a blog post for the project this week detailing some of the challenges the QEMU project, in common with other FLOSS projects, are seeing with AI generated bug reports. The dilemma being that the LLM’s have got to the point they generate better bug reports than a lot of humans do.

  • Shimitar@downonthestreet.eu
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    2 days ago

    In my limited experience, AI properly guided can be a great bug hunter.

    As usual with AI anything must be thoroughly vetted of course, but overall it’s a huge time saver.

    • Alex@lemmy.mlOP
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      2 days ago

      If the bugs where being found in code that is used heavily in production I’d agree. Spamming the tracker with 100’s of bugs in random unmaintained areas of the code base just wastes everyone’s time. Perhaps as a project we should be more aggressive in deprecating code but the threat profile for someone running firmware blobs from their camera is very different from people launching untrusted guests on their shared hosting infrastructure.

      • pastermil@sh.itjust.works
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        13 hours ago

        While I’m with you on the tracker spamming, those random unmaintained areas would need to be addressed one way or another.

    • Alex@lemmy.mlOP
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      2 days ago

      I do run a bot that can do the initial triage, it doesn’t solve the problem of bugs stacking up in unmaintained areas of the code. I have experimented with auto-fixing the bugs with an LLM but currently the project policy is no AI contributions at all. We are in the process of debating a new policy which might allow for simple fixes to be done with AI.

        • Alex@lemmy.mlOP
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          2 days ago

          Out of an abundance of caution we don’t let the agent close bugs or assign CVEs but tell it to defer to a real human for that. I’ll have to experiment with how we can do a better job of detecting duplicates because I’m sure a fair number of the issues are.

      • eldavi@lemmy.ml
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        2 days ago

        I have experimented with auto-fixing the bugs with an LLM but currently the project policy is no AI contributions at all. We are in the process of debating a new policy which might allow for simple fixes to be done with AI.

        my management wants us to do this using ansible tower (i refuse to t call it the ansible automation platform) and the test cases we setup with it auto repairing systemd configurations and restarting it until it works the way we need it to are working REALLY well.