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

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Mail client with mailing list workflow support in Rust by acervesato

Description

To create a mail user interface using Rust programming language, supporting mailing list patches workflow. I know, aerc is already there, but I would like to create something simpler, without integrated protocols. Just a plain user interface that is using some crates to read and create emails which are fetched and sent via external tools.

I already know Rust, but not the async support, which is needed in this case in order to handle events inside the mail folder and to send notifications.

Goals

• simple user interface in the style of aerc, with some vim keybindings for motions and search
• automatic run of external tools (like mbsync) for checking emails
• automatic run commands for notifications
• apply patch set from ML
• tree-sitter support with styles

Resources

• ratatui: user interface (https://ratatui.rs/)
• notify: folder watcher (https://docs.rs/notify/latest/notify/)
• mail-parser: parser for emails (https://crates.io/crates/mail-parser)
• mail-builder: create emails in proper format (https://docs.rs/mail-builder/latest/mail_builder/)
• gitpatch: ML support (https://crates.io/crates/gitpatch)
• tree-sitter-rust: support for mail format (https://crates.io/crates/tree-sitter)

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go-git: unlocking SHA256-based repository cloning ahead of git v3 by pgomes

Description

The go-git library implements the git internals in pure Go, so that any Go application can handle not only Git repositories, but also lower-level primitives (e.g. packfiles, idxfiles, etc) without needing to shell out to the git binary.

The focus for this Hackweek is to fast track key improvements for the project ahead of the upstream release of Git V3, which may take place at some point next year.

Goals

• Add support for cloning SHA256 repositories.
• Decrease memory churn for very large repositories (e.g. Linux Kernel repository).
• Cut the first alpha version for go-git/v6.

Stretch goals

• Review and update the official documentation.
• Optimise use of go-git in Fleet.
• Create RFC/example for go-git plugins to improve extensibility.
• Investigate performance bottlenecks for Blame and Status.

Resources

• https://github.com/go-git/go-git/
• https://go-git.github.io/docs/

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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.

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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

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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

1. Assess the popularity of SUSE products and brand compared to Red Hat using Google Trends.
2. Analyze developer satisfaction and usage trends from the Stack Overflow Developer Survey.
3. Use the GitHub API to compare SUSE and Red Hat repositories in terms of stars, forks, contributors, and issue activity.
4. Perform sentiment analysis on GitHub issue comments to measure community tone and engagement using built-in Copilot capabilities.
5. Perform sentiment analysis on Reddit comments related to SUSE technologies using built-in Copilot capabilities.
6. Use Gnews.io to track and compare the volume of news articles mentioning SUSE and Red Hat technologies.
7. Test the integration of Copilot (AI) within Power BI for enhanced data analysis and visualization.
8. Deliver a comprehensive Power BI report summarizing findings and insights.
9. Test the full potential of Power BI, including its AI features and native language Q&A.

Resources

1. Google Trends: Web scraping for search popularity data
2. Stack Overflow Developer Survey: For technology popularity and satisfaction comparison
3. GitHub API: For repository data (stars, forks, contributors, issues, comments).
4. Gnews.io API: For article volume and mentions analysis.
5. Reddit: SUSE related topics with comments.

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