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
- AI-enabled Neovim plugins:
- avante.nvim: https://github.com/yetone/avante.nvim
- 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)
- Test projects or codebases for practical evaluation:
- OBS: https://build.opensuse.org/
- OBS blog and landing page: https://openbuildservice.org/
- ...
This project is part of:
Hack Week 25
Activity
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Testing and adding GNU/Linux distributions on Uyuni by juliogonzalezgil
Join the Gitter channel! https://gitter.im/uyuni-project/hackweek
Uyuni is a configuration and infrastructure management tool that saves you time and headaches when you have to manage and update tens, hundreds or even thousands of machines. It also manages configuration, can run audits, build image containers, monitor and much more!
Currently there are a few distributions that are completely untested on Uyuni or SUSE Manager (AFAIK) or just not tested since a long time, and could be interesting knowing how hard would be working with them and, if possible, fix whatever is broken.
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No developer experience? No worries! We had non-developers contributors in the past, and we are ready to help as long as you are willing to learn. If you don't want to code at all, you can also help us preparing the documentation after someone else has the initial code ready, or you could also help with testing :-)
The idea is testing Salt (including bootstrapping with bootstrap script) and Salt-ssh clients
To consider that a distribution has basic support, we should cover at least (points 3-6 are to be tested for both salt minions and salt ssh minions):
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- Bonus point: Java part for product identification, and monitoring enablement
- Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
- Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
- Bonus point: testsuite enablement (https://github.com/uyuni-project/uyuni/tree/master/testsuite)
If something is breaking: we can try to fix it, but the main idea is research how supported it is right now. Beyond that it's up to each project member how much to hack :-)
- If you don't have knowledge about some of the steps: ask the team
- If you still don't know what to do: switch to another distribution and keep testing.
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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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
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Resources
Results
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Day 2
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classfeature, which makes perl classes even nicer and shorter. See example - Tests
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likefunction, which only compares the date that is mentioned in the expected data. example
Day 3
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Day 4
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Description
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https://software.opensuse.org/
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Goals
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Introduce a PG database
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Introduce ActiveStorage
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Description
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Resources
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In IT, they help uncover hidden dependencies, feedback loops, assumptions, and side-effects during debugging or architecture analysis.
Gitlab Project
gitlab.suse.de/sle-prjmgr/BugDecisionCritical_Question
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Self-Scaling LLM Infrastructure Powered by Rancher

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Red Hat AI Topic Articles
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Kubeflow Documentation
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Q4 2025 CNCF Technology Landscape Radar report:
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Description
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Motivation
What is the decision critical question which one can ask on a bug? How this question affects the decision on a bug and why?
Let's make GenAI look on the bug from the systemic point and evaluate what we don't know. Which piece of information is missing to take a decision?
Description
To build a tool that takes a raw bug report (including error messages and context) and uses a large language model (LLM) to generate a series of structured, Socratic-style or Systemic questions designed to guide a the integration and development toward the root cause, rather than just providing a direct, potentially incorrect fix.
Goals
Set up a Python environment
Set the environment and get a Gemini API key. 2. Collect 5-10 realistic bug reports (from open-source projects, personal projects, or public forums like Stack Overflow—include the error message and the initial context).
Build the Dialogue Loop
- Write a basic Python script using the Gemini API.
- Implement a simple conversational loop: User Input (Bug) -> AI Output (Question) -> User Input (Answer to AI's question) -> AI Output (Next Question). Code Implementation
Socratic/Systemic Strategy Implementation
- Refine the logic to ensure the questions follow a Socratic and Systemic path (e.g., from symptom-> context -> assumptions -> -> critical parts -> ).
- Implement Function Calling (an advanced feature of the Gemini API) to suggest specific actions to the user, like "Run a ping test" or "Check the database logs."
- Implement Bugzillla call to collect the
- Implement Questioning Framework as LLVM pre-conditioning
- Define set of instructions
- Assemble the Tool
Resources
What are Systemic Questions?
Systemic questions explore the relationships, patterns, and interactions within a system rather than focusing on isolated elements.
In IT, they help uncover hidden dependencies, feedback loops, assumptions, and side-effects during debugging or architecture analysis.
Gitlab Project
gitlab.suse.de/sle-prjmgr/BugDecisionCritical_Question
Minimal neovim LSP setup, without any external plugin. by wqu_suse
Description
Neovim is getting more and more built-in features, from LSP client, snippet to auto-completion.
Now it's possible to built a neovim IDE environment, with built-in lsp, snippet and auto-completion, without any external plugin.
Goals
Use a minimal init.lua only, without any nvim package manager nor external plugin, to build an IDE environment, which can:
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- Support multiple LSP servers for different languages
Linux kernel and btrfs-progs will be used as the example projects.
Resources
https://github.com/adam900710/nvimsimpleconfig