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  • Ex-Yuanfudao | Ex-Kuaishou
  • BeiJing, China
  • 07:01 (UTC +08:00)

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erweixin/README.md

Hi, I'm weixin (唯心)

Frontend Engineer → AI-native Infrastructure Builder

Building the infrastructure stack for AI-native software: DSLs, rendering engines, model-oriented UI systems, and fullstack AI applications.


What I'm Building

  • AI-native DSL / IR
    Model-first structured representation → generation → layout → rendering

    Currently under active development — not open-sourced yet

  • RaTeX (Production Ready)
    A high-performance LaTeX rendering engine for modern UI systems

  • rego (Demo)
    Declarative, React-like terminal UI framework in Go

  • Go-GenAI-Stack (Experiments)
    Reference architectures for AI-first fullstack applications

  • langshift
    Learn programming languages through structured comparison


Writing

AI 时代的软件架构与协作变化


Contact

Open to opportunities and collaborations in:

  • AI-native infrastructure
  • LLM application architecture
  • Rendering / presentation systems
  • Cross-platform DSL / IR design
  • Fullstack AI applications

📍 Based in Shanghai (preferred)
📫 Email: sungb01@foxmail.com

Pinned Loading

  1. RaTeX RaTeX Public

    >99.5% KaTeX syntax coverage. LaTeX math renderer in pure Rust. No JavaScript, no WebView, no DOM. One Rust core → iOS, Android, Flutter, Web, PNG. C ABI · WASM · Server-side PNG/SVG.

    Rust 560 26

  2. langshift.dev langshift.dev Public

    🌍 Programming language learning platform for developers. Master new languages through comparison learning. Interactive editor, performance monitoring, multi-language support.

    MDX 1k 88

  3. rego rego Public

    component-first TUI framework for Go (declarative UI, MVVM-ish, focus/mouse, built-in widgets)

    Go 21

  4. i18nflow i18nflow Public

    Make translation workflow smooth, achieving a true WYSIWYG collaborative workflow experience.

    TypeScript 12 2

  5. prompt-challenges prompt-challenges Public

    A practical LLM learning path from clear prompting to tool use, IDE collaboration, MCP, Skills, and harness-driven agent workflows.

    TypeScript 50 5

  6. Go-GenAI-Stack Go-GenAI-Stack Public template

    🚀 AI-friendly fullstack framework for the GenAI era | Go + TypeScript | Vibe-Coding-Friendly DDD | Domain-First architecture that makes code truly understandable by AI

    TypeScript 29