Learn Rust by following The Rust Programming Language book.
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Hack Week 18
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Learn how to use the Relm4 Rust GUI crate by xiaoguang_wang
Relm4 is based on gtk4-rs and compatible with libadwaita. The gtk4-rs crate provides all the tools necessary to develop applications. Building on this foundation, Relm4 makes developing more idiomatic, simpler, and faster.
https://github.com/Relm4/Relm4
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/)
- patch: ML support (https://crates.io/crates/gitpatch)
- tree-sitter-rust: support for mail format (https://crates.io/crates/tree-sitter)
Looking at Rust if it could be an interesting programming language by jsmeix
Get some basic understanding of Rust security related features from a general point of view.
This Hack Week project is not to learn Rust to become a Rust programmer. This might happen later but it is not the goal of this Hack Week project.
The goal of this Hack Week project is to evaluate if Rust could be an interesting programming language.
An interesting programming language must make it easier to write code that is correct and stays correct when over time others maintain and enhance it than the opposite.
OpenPlatform Self-Service Portal by tmuntan1
Description
In SUSE IT, we developed an internal developer platform for our engineers using SUSE technologies such as RKE2, SUSE Virtualization, and Rancher. While it works well for our existing users, the onboarding process could be better.
To improve our customer experience, I would like to build a self-service portal to make it easy for people to accomplish common actions. To get started, I would have the portal create Jira SD tickets for our customers to have better information in our tickets, but eventually I want to add automation to reduce our workload.
Goals
- Build a frontend website (Angular) that helps customers create Jira SD tickets.
- Build a backend (Rust with Axum) for the backend, which would do all the hard work for the frontend.
Resources
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.
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