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Log Detective: Google Summer of Code 2025

I'm glad to say that I'll participate again in the GSoC, as mentor. This year we will try to improve the RPM packaging workflow using AI, as part of the openSUSE project.

So this summer I'll be mentoring an intern that will research how to integrate Log Detective with openSUSE tooling to improve the packager workflow to maintain rpm packages.

Log Detective

Log Detective is an initiative created by the Fedora project, with the goal of

"Train an AI model to understand RPM build logs and explain the failure in simple words, with recommendations how to fix it. You won't need to open the logs at all."

As a project that was promoted by Fedora, it's highly integrated with the build tools around this distribution and RPM packages. But RPM packages are used in a lot of different distributions, so this "expert" LLM will be helpful for everyone doing RPM, and everyone doing RPM, should contribute to it.

This is open source, so if, at openSUSE, we want to have something similar to improve the OBS, we don't need to reimplement it, we can collaborate. And that's the idea of this GSoC project.

We want to use Log Detective, but also collaborate with failures from openSUSE to improve the training and the AI, and this should benefit openSUSE but also will benefit Fedora and all other RPM based distributions.

The intern

The selected intern is Aazam Thakur. He studies at University of Mumbai, India. He has experience in using SUSE as he has previously worked on SLES 15.6 during his previous summer mentorship at OpenMainFrame Project for RPM packaging.

I'm sure that he will be able to achieve great things during these three months. The project looks very promising and it's one of the things where AI and LLM will shine, because digging into logs is always something difficult and if we train a LLM with a lot of data it can be really useful to categorize failures and give a short description of what's happening.

  • ai
  • rpm
  • suse
  • gsoc
  • gnome
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danigm
lun 09 junio 2025

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