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

Looking for hackers with the skills:

obs ai gemini ollama neovim

This project is part of:

Hack Week 25

Activity

  • about 2 months ago: cbosdonnat liked this project.
  • 2 months ago: enavarro_suse added keyword "obs" to this project.
  • 2 months ago: enavarro_suse added keyword "ai" to this project.
  • 2 months ago: enavarro_suse added keyword "gemini" to this project.
  • 2 months ago: enavarro_suse added keyword "ollama" to this project.
  • 2 months ago: enavarro_suse added keyword "neovim" to this project.
  • 2 months ago: enavarro_suse started this project.
  • 2 months ago: enavarro_suse originated this project.

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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

    • As an admin I setup Distribution and it's repositories
    • As an admin I sync all repositories repomd files into to the database
    • 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

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    And one con:

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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.

    For newcomers, the easiest distributions are those based on DEB or RPM packages. Distributions with other package formats are doable, but will require adapting the Python and Java code to be able to sync and analyze such packages (and if salt does not support those packages, it will need changes as well). So if you want a distribution with other packages, make sure you are comfortable handling such changes.

    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):

    1. Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file)
    2. Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
    3. Package management (install, remove, update...)
    4. Patching
    5. Applying any basic salt state (including a formula)
    6. Salt remote commands
    7. Bonus point: Java part for product identification, and monitoring enablement
    8. Bonus point: sumaform enablement (https://github.com/uyuni-project/sumaform)
    9. Bonus point: Documentation (https://github.com/uyuni-project/uyuni-docs)
    10. 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

    We started writin a Guide: Adding a new client GNU Linux distribution to Uyuni at https://github.com/uyuni-project/uyuni/wiki/Guide:-Adding-a-new-client-GNU-Linux-distribution-to-Uyuni, to make things easier for everyone, specially those not too familiar wht Uyuni or not technical.

    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

    • [W] Reposync (this will require using spacewalk-common-channels and adding channels to the .ini file) NOTE: Done, client tools for SLMicro6 are using as those for SLE16.0/openSUSE Leap 16.0 are not available yet
    • [W] Onboarding (salt minion from UI, salt minion from bootstrap scritp, and salt-ssh minion) (this will probably require adding OS to the bootstrap repository creator)
    • [W] Package management (install, remove, update...). Works, even reboot requirement detection


    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

    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 class feature, 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 like function, 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


    Improvements to osc (especially with regards to the Git workflow) by mcepl

    Description

    There is plenty of hacking on osc, where we could spent some fun time. I would like to see a solution for https://github.com/openSUSE/osc/issues/2006 (which is sufficiently non-serious, that it could be part of HackWeek project).


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    Description

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    • Ash Awesome wants AI on their phone without an expensive subscription.

    Goals

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    • Test opencode for vibe coding and tool calling

    Timeline

    Day 1

    • Took a look at SurfSense and started setting up a local instance.
    • Unfortunately the container setup did not work well. Tho this was a great opportunity to learn some new podman commands and refresh my memory on how to recover a corrupted btrfs filesystem.

    Day 2

    • Due to its sheer size and complexity SurfSense seems to have triggered btrfs fragmentation. Naturally this was not visible in any podman-related errors or in the journal. So this took up much of my second day.

    Day 3

    Day 4

    • Context size is a thing, and models are not equally usable for vibe coding.
    • Through arduous browsing for ollama models I did find some like myaniu/qwen2.5-1m:7b with 1m but even then it is not obvious if they are meant for tool calls.

    Day 5

    • Whilst trying to make opencode usable I discovered ramalama which worked instantly and very well.

    Outcomes

    surfsense

    I could not easily set this up completely. Maybe in part due to my filesystem issues. Was expecting this to be less of an effort.

    opencode

    Installing opencode and ollama in my distrobox container along with the following configs worked for me.

    When preparing a new project from scratch it is a good idea to start out with a template.

    opencode.json

    ``` {


    "what is it" file and directory analysis via MCP and local LLM, for console and KDE by rsimai

    Description

    Users sometimes wonder what files or directories they find on their local PC are good for. If they can't determine from the filename or metadata, there should an easy way to quickly analyze the content and at least guess the meaning. An LLM could help with that, through the use of a filesystem MCP and to-text-converters for typical file types. Ideally this is integrated into the desktop environment but works as well from a console. All data is processed locally or "on premise", no artifacts remain or leave the system.

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    • The local LLM could serve for other use cases where privacy matters

    TBD

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    Description

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    • Investigate if this plug-in can be used to query LLMs for troubleshooting scenarios.
    • Evaluate support for local LLMs and external APIs through the plugin.
    • Evaluate if and how the Uyuni MCP server could be integrated as another source of information.

    Resources

    Grafana LMM plug-in

    Uyuni Health-check


    SUSE Edge Image Builder MCP by eminguez

    Description

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    Resources

    Result

    https://github.com/e-minguez/eib-mcp

    I've extensively used antigravity and its agent mode to code this. This heavily uses https://hackweek.opensuse.org/25/projects/suse-edge-image-builder-json-schema for the MCP to be built.

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    Background Coding Agent by mmanno

    Description

    I had only bad experiences with AI one-shots. However, monitoring agent work closely and interfering often did result in productivity gains.

    Now, other companies are using agents in pipelines. That makes sense to me, just like CI, we want to offload work to pipelines: Our engineering teams are consistently slowed down by "toil": low-impact, repetitive maintenance tasks. A simple linter rule change, a dependency bump, rebasing patch-sets on top of newer releases or API deprecation requires dozens of manual PRs, draining time from feature development.

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    We will build a platform that allows engineers to execute complex code transformations using prompts.

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    • "Change" Management Service: A central service that orchestrates the jobs. It will receive Change definitions and be responsible for the job lifecycle.
    • Execution Runners: We could use existing sandboxed CI runners (like GitHub/GitLab runners) to execute each job or spawn a container.

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    • Define the Change manifest format.
    • Build the core Management Service that can accept and queue a Change.
    • Connect management service and runners, dynamically dispatch jobs to runners.
    • Create a basic runner script that can run a hard-coded prompt against a test repo and open a PR.

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    • Multi-layered approach, Workflow Agents trigger Coding Agents:
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      2. Workflow Agent triggers a Coding Agent.
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      1. Rebasing rancher-monitoring to a new version of kube-prom-stack
      2. Update charts to use new images
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    See also


    GenAI-Powered Systemic Bug Evaluation and Management Assistant by rtsvetkov

    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

    1. Write a basic Python script using the Gemini API.
    2. 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

    1. Refine the logic to ensure the questions follow a Socratic and Systemic path (e.g., from symptom-> context -> assumptions -> -> critical parts -> ).
    2. 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."
    3. Implement Bugzillla call to collect the
    4. Implement Questioning Framework as LLVM pre-conditioning
    5. Define set of instructions
    6. 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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    Resources

    https://github.com/adam900710/nvimsimpleconfig