Skip to content
View YangYuS8's full-sized avatar
🌐
Studying...
🌐
Studying...

Highlights

  • Pro

Block or report YangYuS8

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
YangYuS8/README.md

👋 Hi, I'm YangYuS8

Typing SVG

💫 About Me

package main

type Developer struct {
    Name      string
    Focus     []string
    Building  []string
    Learning  []string
}

func main() {
    me := Developer{
        Name: "YangYuS8",
        Focus: []string{
            "Linux desktop workflows",
            "DevOps and cloud-native practice",
            "open-source tools for real daily problems",
        },
        Building: []string{
            "LWE: Wallpaper Engine content on Linux",
            "homelab / Kubernetes experiments",
            "small AI-assisted developer tools",
        },
        Learning: []string{
            "Rust", "Go", "Kubernetes", "observability", "system design",
        },
    }

    _ = me
}
  • 🐧 I use and maintain my daily workstation around Arch / CachyOS, dotfiles, and Linux desktop workflows.
  • 🦀 Currently building LWE — a Rust + Tauri 2 + Svelte Linux desktop app for browsing, managing, and applying Wallpaper Engine content.
  • ☸️ Practicing Kubernetes, DevOps, CI/CD, and observability through labs, blog posts, and small tools.
  • 🧰 Comfortable moving across Rust, Go, TypeScript, Python, PHP, and shell scripts when the problem needs it.
  • ✍️ I write notes and tutorials on my blog: https://blog.yangyus8.top

🧵 Featured Work

Project What it is Stack / Keywords
lwe Linux desktop app for Wallpaper Engine migration workflows, with AUR packages, GitHub Releases, and bilingual docs. Rust, Tauri 2, Svelte, Wayland, AUR
k8s-lab Local Kubernetes lab notes and deployment experiments. Kubernetes, Shell, DevOps
kube-sentinel Event-driven Kubernetes self-healing controller experiment. Go, Kubernetes
dotfiles Personal Linux workstation configuration managed with GNU Stow. Shell, Linux, Stow
blog My personal technical blog source. Astro, Markdown

🛠️ Tech Stack

Languages:
  - Rust, Go, TypeScript, Python, PHP, Shell

Frontend & Desktop:
  - Svelte, Vue, React, Next.js
  - Tauri, Electron

Backend & DevOps:
  - Linux, Git, CI/CD
  - Docker / Podman, Kubernetes
  - Grafana, Loki, Alloy

Systems I care about:
  - Arch / CachyOS workstation workflows
  - Homelab automation
  - Practical open-source maintenance

Skill icons

📝 Latest Blog Posts

➡️ More posts at: https://blog.yangyus8.top

🎯 Current Focus

  • 🦀 Improving LWE as a practical Linux desktop app, including packaging, docs, and runtime compatibility.
  • ☸️ Building stronger intuition for Kubernetes, controllers, local clusters, and troubleshooting workflows.
  • 📈 Learning practical observability with Grafana, Loki, and Alloy.
  • 🧪 Turning course projects, labs, and homelab experiments into reusable notes instead of one-off homework.

📊 GitHub Stats

GitHub stats Top languages
GitHub profile summary

📫 Connect With Me

GitHub Blog Email


Profile views

Thanks for visiting. If something here helps you, a star or a note is always welcome.

Pinned Loading

  1. TencentCloud/CubeSandbox TencentCloud/CubeSandbox Public

    Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.

    Rust 6.7k 565

  2. t8y2/dbx t8y2/dbx Public

    15MB, lightweight, cross-platform database client. Supports MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server and more.15MB,轻量级跨平台数据库客户端、数据库管理工具。支持 MySQL、PostgreSQL、SQLite、R…

    Rust 8k 688

  3. lwe lwe Public

    LWE is a Linux desktop app for browsing, managing, and applying Wallpaper Engine content.

    Rust 126 3

  4. yolopest yolopest Public

    基于YOLOv12的智能害虫检测系统,集成FastAPI后端和React前端,提供图像和视频中农作物害虫的实时识别、分析与管理功能。

    Python 58 7

  5. ocean ocean Public

    Ocean is an internal platform for marine ecological sample management and equipment inspection workflows.

    PHP 1

  6. Nesoriel/astralith Nesoriel/astralith Public

    Astralith is a lightweight automated operations platform for small Linux server environments. It is built with FastAPI, Ansible Runner, SQLite, Celery, APScheduler, and Vue 3.

    Python