Project Description
Legal reviews have been a quite painful part of our development process. The current situation in Factory waits for legaldb for a limited amount of time and simply proceeds further if the review is not "approved" within a few hours.
Leap currently waits for legal review to be closed (may take weeks), or manually skipped. We typically contact our legal with ask to review specific requests on a weekly basis.
The goal is to improve our best effort on reviews in openSUSE, and ideally "shorten" the time of legal review of our packages.
Project OSSelot and related work on legal reviews seem to be funded by donations to OSADL (based in Germany). The project seems to use fossology underneath.
I highly recomemnd to start by watching OSSelot videos to get some idea about how their process and results look like. The last one seems to be closest to what I've seen in the Open Chain webinar.
GitHub repository of curated data
This project has two parts. Offloading our legal team, where possible, and contributing back.
Goal for this Hackweek
Contributing back results of our reviews Being a good Open Source Community Citizen and publicly sharing results of our legal reviews of community packages.
Offloading reviews of our community packages. There I can see extension of our existing current process. And extending our legal bot to talk to fossology/OSSelot.
An example could be Let's wait for legaldb for n-hours (currently 1-2h), if the review is still open then let's submit it to OSSelot. I see it as a much better alternative to e.g. lkocman skipping the review and taking the change in, in case that review was not closed for days/weeks.
Resources
We could use somebody who has experience with our legal tooling https://github.com/openSUSE/cavil and could help us export data from legaldb.suse.de to https://github.com/Open-Source-Compliance](https://github.com/Open-Source-Compliance/package-analysis/tree/main/analysed-packages)
A person who could tweak our existing legal bot to submit requests to fossology/osselot
This project is part of:
Hack Week 22
Activity
Comments
-
almost 3 years ago by lkocman | Reply
** An agreed first step from our call with Christopher from our legal team would be to compare our cavil report with the fossology report. Sebastian and Christopher recommended to start with comparing results of openssl**
I'd recommend filing an OSSelot project issue containing our review data (perhaps stripped from the SUSE's RISK assestment) and have a discussion about next steps.
*Notes: *
What's interesting for us is the SPDX license mapping to files, we're still using mappings from before the spdx time. What's interesting to our SUSE legal is what are the criteria for rejection on the OSSelot side. I did ask and we do not have any "strategy" or "rules" rejection documented publically.
I'm not sure if OSSelot team would be willing to work on our reviews to the level that we'd expect (to be clarified, see my note about rejection above), but having these reports public e.g. in a pull request, opens a way for volunteers with legal license background to contribute and offload SUSE legal team on community reviews.
-
almost 3 years ago by lkocman | Reply
Another action item from Sebastian:
One more thing for hack week, you could take a look at a rejected review, maybe there is something they have in their data that matches (search https://legaldb.suse.de/reviews/recent for unacceptable)
There were 11 rejected reviews in the past 3 months
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Resources
Results
Day 1
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Day 2
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- The links included above
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Description
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Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
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- Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
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- If you don't have knowledge about some of the steps: ask the team
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This card is for EVERYONE, not just developers. Seriously! We had people from other teams helping that were not developers, and added support for Debian and new SUSE Linux Enterprise and openSUSE Leap versions :-)
In progress/done for Hack Week 25
Guide
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openSUSE Leap 16.0
The distribution will all love!
https://en.opensuse.org/openSUSE:Roadmap#DRAFTScheduleforLeap16.0
Curent Status We started last year, it's complete now for Hack Week 25! :-D
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Try out Neovim Plugins supporting AI Providers by enavarro_suse
Description
Experiment with several Neovim plugins that integrate AI model providers such as Gemini and Ollama.
Goals
Evaluate how these plugins enhance the development workflow, how they differ in capabilities, and how smoothly they integrate into Neovim for day-to-day coding tasks.
Resources
- Neovim 0.11.5
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- Gp.nvim: https://github.com/Robitx/gp.nvim
- parrot.nvim: https://github.com/frankroeder/parrot.nvim
- gemini.nvim: https://dotfyle.com/plugins/kiddos/gemini.nvim
- ...
- Accounts or API keys for AI model providers.
- Local model serving setup (e.g., Ollama)
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- OBS: https://build.opensuse.org/
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Switch software-o-o to store repomd in a database by hennevogel
Description
The openSUSE Software portal is a web app to explore binary packages of openSUSE distributions. Kind of like an package manager / app store.
https://software.opensuse.org/
This app has been around forever (August 2007) and it's architecture is a bit brittle. It acts as a frontend to the OBS distributions and published binary search APIs, calculates and caches a lot of stuff in memory and needs code changes nearly every openSUSE release to keep up.
As you can imagine, it's a heavy user of the OBS API, especially when caches are cold.
Goals
I want to change the app to cache repomod data in a (postgres) database structure
- Distributions have many Repositories
- Repositories have many Packages
- Packages have many Patches
The UI workflows will be as following
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- As a user I browse a Distribution by category
- As a user I search for Package of a Distribution in it's Repositories
- As a user I extend the search to Package build on OBS for this Distribution
This has a couple of pro's:
- Less traffic on the OBS API as the usual Packages are inside the database
- Easier base to add features to this page. Like comments, ratings, openSUSE specific screenshots etc.
- Separating the Distribution package search from searching through OBS will hopefully make more clear for newbies that enabling extra repositories is kind of dangerous.
And one con:
- You can't search for packages build for foreign distributions with this app anymore (although we could consume their repomd etc. but I doubt we have the audience on an opensuse.org domain...)
TODO
Introduce a PG database
Add clockworkd as scheduler and delayed_job as ActiveJob backend
Introduce ActiveStorage
Build initial data model
Introduce repomd to database sync
Adapt repomd sync to Leap 16.0 repomod layout changes (single arch, no update repo)
Make repomd sync idempotent
Introduce database search
Setup foreman to run rails sandrake jobs:workoff- Adapt UI
Build Category Browsing
Build Admin Distribution CRUD interface
Create a page with all devel:languages:perl packages and their versions by tinita
Description
Perl projects now live in git: https://src.opensuse.org/perl
It would be useful to have an easy way to check which version of which perl module is in devel:languages:perl. Also we have meta overrides and patches for various modules, and it would be good to have them at a central place, so it is easier to lookup, and we can share with other vendors.
I did some initial data dump here a while ago: https://github.com/perlpunk/cpan-meta
But I never had the time to automate this.
I can also use the data to check if there are necessary updates (currently it uses data from download.opensuse.org, so there is some delay and it depends on building).
Goals
- Have a script that updates a central repository (e.g.
https://src.opensuse.org/perl/_metadata) with metadata by looking at https://src.opensuse.org/perl/_ObsPrj (check if there are any changes from the last run) - Create a HTML page with the list of packages (use Javascript and some table library to make it easily searchable)
Resources
Results
Day 1
- First part of the code which retrieves data from https://src.opensuse.org/perl/_ObsPrj with submodules and creates a YAML and a JSON file.
- Repo: https://github.com/perlpunk/opensuse-perl-meta
- Also a first version of the HTML is live: https://perlpunk.github.io/opensuse-perl-meta/
Day 2
- HTML Page has now links to src.opensuse.org and the date of the last update, plus a short info at the top
- Code is now 100% covered by tests: https://app.codecov.io/gh/perlpunk/opensuse-perl-meta
- I used the modern perl
classfeature, which makes perl classes even nicer and shorter. See example - Tests
- I tried out the mocking feature of the modern Test2::V0 library which provides call tracking. See example
- I tried out comparing data structures with the new Test2::V0 library. It let's you compare parts of the structure with the
likefunction, which only compares the date that is mentioned in the expected data. example
Day 3
- Added various things to the table
- Dependencies column
- Show popup with info for cpanspec, patches and dependencies
- Added last date / commit to the data export.
Plan: With the added date / commit we can now daily check _ObsPrj for changes and only fetch the data for changed packages.
Day 4
MCP Perl SDK by kraih
Description
We've been using the MCP Perl SDK to connect openQA with AI. And while the basics are working pretty well, the SDK is not fully spec compliant yet. So let's change that!
Goals
- Support for Resources
- All response types (Audio, Resource Links, Embedded Resources...)
- Tool/Prompt/Resource update notifications
- Dynamic Tool/Prompt/Resource lists
- New authentication mechanisms
Resources
The Agentic Rancher Experiment: Do Androids Dream of Electric Cattle? by moio
Rancher is a beast of a codebase. Let's investigate if the new 2025 generation of GitHub Autonomous Coding Agents and Copilot Workspaces can actually tame it. 
The Plan
Create a sandbox GitHub Organization, clone in key Rancher repositories, and let the AI loose to see if it can handle real-world enterprise OSS maintenance - or if it just hallucinates new breeds of Kubernetes resources!
Specifically, throw "Agentic Coders" some typical tasks in a complex, long-lived open-source project, such as:
❥ The Grunt Work: generate missing GoDocs, unit tests, and refactorings. Rebase PRs.
❥ The Complex Stuff: fix actual (historical) bugs and feature requests to see if they can traverse the complexity without (too much) human hand-holding.
❥ Hunting Down Gaps: find areas lacking in docs, areas of improvement in code, dependency bumps, and so on.
If time allows, also experiment with Model Context Protocol (MCP) to give agents context on our specific build pipelines and CI/CD logs.
Why?
We know AI can write "Hello World." and also moderately complex programs from a green field. But can it rebase a 3-month-old PR with conflicts in rancher/rancher? I want to find the breaking point of current AI agents to determine if and how they can help us to reduce our technical debt, work faster and better. At the same time, find out about pitfalls and shortcomings.
The Outputs
❥ A "State of the Agentic Union" for SUSE engineers, detailing what works, what explodes, and how much coffee we can drink while the robots do the rebasing.
❥ Honest, Daily Updates With All the Gory Details
issuefs: FUSE filesystem representing issues (e.g. JIRA) for the use with AI agents code-assistants by llansky3
Description
Creating a FUSE filesystem (issuefs) that mounts issues from various ticketing systems (Github, Jira, Bugzilla, Redmine) as files to your local file system.
And why this is good idea?
- User can use favorite command line tools to view and search the tickets from various sources
- User can use AI agents capabilities from your favorite IDE or cli to ask question about the issues, project or functionality while providing relevant tickets as context without extra work.
- User can use it during development of the new features when you let the AI agent to jump start the solution. The issuefs will give the AI agent the context (AI agents just read few more files) about the bug or requested features. No need for copying and pasting issues to user prompt or by using extra MCP tools to access the issues. These you can still do but this approach is on purpose different.

Goals
- Add Github issue support
- Proof the concept/approach by apply the approach on itself using Github issues for tracking and development of new features
- Add support for Bugzilla and Redmine using this approach in the process of doing it. Record a video of it.
- Clean-up and test the implementation and create some documentation
- Create a blog post about this approach
Resources
There is a prototype implementation here. This currently sort of works with JIRA only.
Is SUSE Trending? Popularity and Developer Sentiment Insight Using Native AI Capabilities by terezacerna
Description
This project aims to explore the popularity and developer sentiment around SUSE and its technologies compared to Red Hat and their technologies. Using publicly available data sources, I will analyze search trends, developer preferences, repository activity, and media presence. The final outcome will be an interactive Power BI dashboard that provides insights into how SUSE is perceived and discussed across the web and among developers.
Goals
- Assess the popularity of SUSE products and brand compared to Red Hat using Google Trends.
- Analyze developer satisfaction and usage trends from the Stack Overflow Developer Survey.
- Use the GitHub API to compare SUSE and Red Hat repositories in terms of stars, forks, contributors, and issue activity.
- Perform sentiment analysis on GitHub issue comments to measure community tone and engagement using built-in Copilot capabilities.
- Perform sentiment analysis on Reddit comments related to SUSE technologies using built-in Copilot capabilities.
- Use Gnews.io to track and compare the volume of news articles mentioning SUSE and Red Hat technologies.
- Test the integration of Copilot (AI) within Power BI for enhanced data analysis and visualization.
- Deliver a comprehensive Power BI report summarizing findings and insights.
- Test the full potential of Power BI, including its AI features and native language Q&A.
Resources
- Google Trends: Web scraping for search popularity data
- Stack Overflow Developer Survey: For technology popularity and satisfaction comparison
- GitHub API: For repository data (stars, forks, contributors, issues, comments).
- Gnews.io API: For article volume and mentions analysis.
- Reddit: SUSE related topics with comments.