Let's pick some old classic game, reverse engineer the data formats and game rules and write an open source engine for it from scratch. Some games from 1990s are simple enough that we could have a playable prototype by the end of the week.

Harvester does not officially come with a CLI tool, the user is supposed to interact with Harvester mostly through the UI. Though it is theoretically possible to use kubectl to interact with Harvester, the manipulation of Kubevirt YAML objects is absolutely not user friendly. Inspired by tools like multipass from Canonical to easily and rapidly create one of multiple VMs, I began the development of Harvester CLI. Currently, it works but Harvester CLI needs some love to be up-to-date with Harvester v1.0.2 and needs some bug fixes and improvements as well.

There are couple of projects I work on, which need my attention and putting them to shape:

Description

Bring to Cockpit + System Roles features from YAST

SUSE HC Tools Overview

Description

SUSE Virtualization (Harvester) has a vm-import-controller that allows migrating VMs from VMware and OpenStack, but users need to write manifest files and apply them with kubectl to use it. This project is about adding the missing UI pieces to the harvester-ui-extension, making VM Imports accessible without requiring Kubernetes and YAML knowledge.

Description

Description

The SUSE-Manager-Tools are used with many customers. Moving it to a container or venv with a newer version of python. Or even move it to golang, could make it easier to use for customers and to update in the future.

Description

Study for the CKS exam! Setup daily checkins with others, quiz sessions, or whatever might help! Happy to have anyone join in.

Description

This project, Bugzilla goes AI, aims to boost developer productivity by creating an autonomous AI bug agent during Hackweek. The primary goal is to reduce the time employees spend triaging bugs by integrating Ollama to summarize issues, recommend next steps, and push focused daily reports to a Web Interface.

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Description

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The idea is to delve into understanding Nutanix AHV internals on how it stores and runs VMs, and how to extract them in an automated way for importing into a KVM-compatible hypervisor, like SUSE Virtualization/Harvester. The final product will be not only be documentation, but a working prototype that can be used to automate the process.

Description

This project explores how to create a custom Large Language Model (LLM) trained specifically on Rancher related data. We will explore LLM distillation techniques to produce a smaller, more efficient model suitable for deployment in resource-constrained environments. We will also explore how Retrieval-Augmented Generation (RAG) can enhance model performance by combining the strengths of fine-tuning with dynamic knowledge retrieval.

RISC-V is awesome, Tumbleweed is awesome, chocolate cake is awesome. I'm planning to combine all of them in one project.