Use machine learning and natural language processing techniques to analyze the changes made in a project, and classify them in:

Description

Large language models like ChatGPT have demonstrated remarkable capabilities across a variety of applications. However, their potential for enhancing the Linux development and user ecosystem remains largely unexplored. This project seeks to bridge that gap by researching practical applications of LLMs to improve workflows in areas such as backporting, packaging, log analysis, system migration, and more. By identifying patterns that LLMs can leverage, we aim to uncover new efficiencies and automation strategies that can benefit developers, maintainers, and end users alike.

Project Description

Currently openQA requires a reference image to be stored to do OCR based comparisons. It is not possible to pass a character string to openQA which should be compared to the text in the screenshot.

Every packager encounters boring manual tasks every once in a while and these tasks can most probably be automated to some extent. During Hackweek I aim to try and identify such cases in various packagers' workflow and consider creating a tool that would make these tasks easier. Also, I would like to find out whether there is a demand for such tool. In that case, this Hackweek project will turn into a long-term task I plan to keep working on.

Project Description

Project Description

Description

The Problem: many bugs filed for openSUSE go to the screening-team by default and often remain there for weeks, so that developers (who would be interested in analyzing or fixing these bugs) do not learn about them. However, the screening process is a hard one

Description

I am an AI skeptic.

Project Description

Why

I'm currently using LastPass as password manager but it has several drawbacks:

Let's make reposync faster

The Agama project is a multi-language Linux installer that leverages the distinct strengths of several key technologies:

Learn the inner workings of TCP as implemented in the Linux kernel. This will involve

Try to use Jenkins 2.0 CI environments to trigger jobs which running in openQA

openSUSE Leap 42.3 goes for a rolling release model with automated openQA tests. That covers only so much though. We need manual testing too. In previous releases a google document spread sheet was used to coordinate and track the efforts.That's probably not the best method anymore.

What's about an app that helps you with downloading openSUSE documentation?

For years we have been discussing the idea to modularize SUSE Manager. This would enable developers to create their own extensions to SUSE Manager without needing to touch the core repository.

I want to create devel project for cryptocurrencies/mining tools/blockchain related stuff, fill it with packages and submit at least some of them to Tumbleweed.

Description

I have several future learning goals which require being proficient in C. I'd like to have this HackWeek as an opportunity to get better at the language and understand some of its advanced features like memory management and multithreading.

The goal of openQA is "test as a QA engineer". But openQA has no ears - all we can test for are DTMF sounds. And even those are very bad.

Build Service needs an openid.

Setup a patchew instance

Description

Currently create a dev environment on Uyuni might be complicated. The steps are:

Project Description

Tronsmart has a Rockchip rk3368 based set-top-box [1].