Description
Agama is a new Linux installer that will be very likely used for SLES 16.
It takes a configuration (in JSON format) as input. And offers several interfaces to build that configuration in an easy and interactive way.
I was considering the possibility to add to the web interface a "text editor" mode similar to the XML editor available at virt-manager. That could be used to see how the changes in the UI translate into changes on the configuration.
Goals
- Refresh my knowledge about UI development for Agama, since there was a major overhaul recently (adopting TanStack Query) and I need to learn the new way to do things.
- Please hackers who always want to know how things work internally. :-)
Looking for hackers with the skills:
This project is part of:
Hack Week 24
Activity
Comments
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12 months ago by ancorgs | Reply
I was involved in several Hack Week projects and, as a result, I only invested some hours on this. Fortunatelly, @IGonzalezSosa and @dgdavid helped me to get started, so I was able to get something working. See the animation on this gist
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Description
Relevant blog post at news-o-o
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Kudos under github.com/openSUSE/kudos with build previews aka netlify
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In the future, we could even explore reward options such as vouchers for t-shirts or other community swag, small tokens of appreciation to make recognition more tangible.
Resources
(Do not create new badge requests during hackweek, unless you'll make the badge during hackweek)
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AI-Powered Unit Test Automation for Agama by joseivanlopez
The Agama project is a multi-language Linux installer that leverages the distinct strengths of several key technologies:
- Rust: Used for the back-end services and the core HTTP API, providing performance and safety.
- TypeScript (React/PatternFly): Powers the modern web user interface (UI), ensuring a consistent and responsive user experience.
- Ruby: Integrates existing, robust YaST libraries (e.g.,
yast-storage-ng) to reuse established functionality.
The Problem: Testing Overhead
Developing and maintaining code across these three languages requires a significant, tedious effort in writing, reviewing, and updating unit tests for each component. This high cost of testing is a drain on developer resources and can slow down the project's evolution.
The Solution: AI-Driven Automation
This project aims to eliminate the manual overhead of unit testing by exploring and integrating AI-driven code generation tools. We will investigate how AI can:
- Automatically generate new unit tests as code is developed.
- Intelligently correct and update existing unit tests when the application code changes.
By automating this crucial but monotonous task, we can free developers to focus on feature implementation and significantly improve the speed and maintainability of the Agama codebase.
Goals
- Proof of Concept: Successfully integrate and demonstrate an authorized AI tool (e.g.,
gemini-cli) to automatically generate unit tests. - Workflow Integration: Define and document a new unit test automation workflow that seamlessly integrates the selected AI tool into the existing Agama development pipeline.
- Knowledge Sharing: Establish a set of best practices for using AI in code generation, sharing the learned expertise with the broader team.
Contribution & Resources
We are seeking contributors interested in AI-powered development and improving developer efficiency. Whether you have previous experience with code generation tools or are eager to learn, your participation is highly valuable.
If you want to dive deep into AI for software quality, please reach out and join the effort!
- Authorized AI Tools: Tools supported by SUSE (e.g.,
gemini-cli) - Focus Areas: Rust, TypeScript, and Ruby components within the Agama project.
Interesting Links