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MapleCity1314/README.md
Terminal Typing

πŸ‘¨β€πŸ’» Source Code Identity

```rust
struct Presto {
    name: "Zhao Yuhang",
    age: 20,
    location: "Hangzhou, CN",
    role: "AI Native Fullstack Engineer",
    achievements: [
        "Next.js Contributor",
        "Huawei Certified ICT Associate (HCIA)"
    ],
    tech_focus: {
        core: "Next.js 16 / React 19 / RSC",
        backend: "Go / Rust / Nest.js",
        ai_stack: "LangChain / Vercel AI SDK / RAG",
        infra: "Docker / WebContainers"
    },
    status: "Building the z0 Ecosystem"
}
```
      

πŸ“Š GitHub Stats

Stats
Languages

πŸ› οΈ Technical Arsenal

Domain Stack Components
Next-Gen Frontend Next.js React TypeScript Tailwind
Backend & Systems Go Rust Nest.js Postgres
AI Engineering LangChain OpenAI Vercel AI SDK WebContainer
DevOps & Tools Docker Cursor Git Solana

πŸš€ Featured Projects: The z0 Series

High-performance AI Engineering & System Architecture

🧠 z0 Gateway (AI Infra)

A high-concurrency Model-as-a-Service gateway unifying OpenAI/Local models.

  • Stack: Go, WebSocket, Postgres, Workflow SDK
  • Impact: Reduced model integration costs by 70%, ms-level streaming.

πŸ€– z0 Agent (Vibe Coding)

Web-based AI Agent system for complex task execution & code generation.

  • Stack: Next.js 16, React 19, Server Actions, mem0
  • Feature: "Plan/Execute/Feedback" loop with WebContainer sandbox.

πŸ“ˆ z0 Lens (Quant Platform)

Agent-driven quantitative research & visualization platform.

  • Stack: WebGL, WebSocket, Rust/Quant Engines
  • Core: Automated factor mining, IC/RankIC monitoring, backtesting.

βš–οΈ z Judge (Online Judge)

Distributed AI-powered coding assessment system.

  • Stack: Nest.js, Docker Sandbox, Message Queue
  • Perf: Async task pipeline with secure isolation.

🧩 Architecture: Agentic Workflow

Visualizing the "Plan / Execute / Feedback" Loop from z0 Agent

graph LR
    subgraph Client ["πŸ–₯️ User Interface (Next.js 16)"]
        UI["Prompt Input"]
        Stream["RSC Stream Rendering"]
        Editor["Live Code Editor"]
    end

    subgraph Brain ["🧠 AI Core (Server Actions)"]
        Planner["Task Planner"]
        Context["Context Manager (mem0)"]
        LLM["Model Inference"]
    end

    subgraph Sandbox ["πŸ“¦ Execution Environment"]
        WebC["WebContainer / Docker"]
        Runner["Code Runner"]
        Feedback["Error & Output Logs"]
    end

    UI -->|"Intent"| Planner
    Planner -->|"Steps"| LLM
    LLM <-->|"History"| Context
    LLM -->|"Gen Code"| Stream
    Stream --> Editor
    
    Editor -.->|"Execute"| WebC
    WebC --> Runner
    Runner -->|"Logs/Diff"| Feedback
    Feedback --"Auto-Correction"--> LLM

    style Client fill:#0f172a,stroke:#3b82f6,stroke-width:2px,color:#fff
    style Brain fill:#1e1e1e,stroke:#00ff99,stroke-width:2px,color:#fff
    style Sandbox fill:#2d1b2e,stroke:#9945ff,stroke-width:2px,color:#fff
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"Turning technical capability into stable, scalable business value."

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