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rockyshi1993/README.md

Maintainer of DevCodex Labs

👋 Hi — I’m Rocky, a Node.js full-stack developer with 10+ years of production experience and the maintainer of DevCodex Labs.

I build open-source tools around AI Coding, Agent infrastructure, Developer Tools, Node.js, and full-stack engineering.

My work focuses on turning practical engineering experience into reusable infrastructure, with an emphasis on architecture, performance, maintainability, developer experience, and production readiness.

🌍 Currently open to global remote opportunities in AI Coding, Agent Runtime, Developer Tools, Node.js / TypeScript, full-stack engineering, and software architecture.


🚀 Core Projects

An open-source, local-first AI Coding Runtime for Codex, Claude Code, GitHub Copilot, Gemini CLI, Grok, Cursor, and other AI coding hosts.

It provides structured workflows, context and memory management, Skills, Tools/MCP, task lifecycle management, validation, quality governance, and resumable AI development workflows.

⚡ VextJS

An AI-first full-stack Node.js framework designed for production applications, with convention-based routing, plugin lifecycle, service injection, schema validation, OpenAPI integration, and enterprise-oriented backend capabilities.

A concise JavaScript/TypeScript DSL for data schemas, validation, runtime checks, i18n, and database schema generation.

A database abstraction and query layer focused on practical SQL/MongoDB interoperability, migration scenarios, and maintainable data access.

Lightweight Redis-based distributed job queue infrastructure for background tasks, retries, concurrency control, and asynchronous workloads.

Reusable permission and authorization infrastructure for backend and enterprise applications.

🧩 Utilities

And other focused backend infrastructure libraries.


💼 Open to Remote Opportunities

I’m currently looking for global remote opportunities where I can contribute to AI-native products, developer infrastructure, and complex software systems.

Roles I’m interested in

  • AI / Full-Stack Engineer
  • AI Coding / Coding Agent Engineer
  • Agent Runtime Engineer
  • Developer Tools Engineer
  • Node.js / TypeScript Engineer
  • Staff / Principal Engineer
  • Software Architect / Tech Lead

What I can bring to a team

  • Build and evolve AI Coding / Agent engineering infrastructure
  • Turn individual AI usage into reusable and governable team workflows
  • Design Agent Runtime, MCP, Tool Calling, RAG, memory, context, and workflow systems
  • Build scalable Node.js / TypeScript backend and full-stack architectures
  • Establish reusable frameworks, engineering standards, and technical foundations
  • Reduce duplicated engineering work, maintenance costs, and long-term technical debt
  • Design high-concurrency, production-grade systems with reliability in mind
  • Lead complex systems and new products from 0 → 1
  • Connect technical architecture with real product and business requirements

Core Stack

Node.js · TypeScript · JavaScript · Python · React · MongoDB · Redis · MySQL · Docker

AI Coding · Coding Agent · Agent Runtime · MCP · Tool Calling · RAG · Context Management · Memory · Workflow · Developer Tools

I’m comfortable working with distributed international teams and open to long-term global remote positions.

📫 Contact: rockyshi1993@gmail.com


🎯 Focus Areas

AI-Native Development

AI Coding runtimes, Coding Agents, Agent workflows, Skills, Tools/MCP, RAG, memory, context management, validation, and engineering governance.

Developer Infrastructure

Developer Tools, workflow infrastructure, reusable frameworks, backend utilities, automation, and engineering productivity systems.

Full-Stack & Backend Architecture

Node.js / TypeScript services, APIs, data models, caching, queues, permissions, multi-tenant systems, asynchronous workloads, and complex enterprise platforms.

Production Readiness

Reliability, observability, graceful shutdown, fault recovery, performance optimization, concurrency control, and operational stability.

Developer Experience

Clear conventions, minimal boilerplate, strong defaults, integrated validation, modular architecture, and AI-friendly engineering workflows.

Enterprise Infrastructure

Permissions, caching, queues, rate limiting, workflows, observability, validation, multi-tenancy, and reusable backend capabilities.


🧠 Engineering Philosophy

I believe strong software systems should not rely on repeatedly solving the same engineering problems.

Good engineering experience should eventually become frameworks, tools, workflows, conventions, and infrastructure that the entire team can reuse.

The same principle applies to AI development: AI is powerful, but real engineering value comes from combining model capabilities with domain knowledge, context, workflows, tools, validation, and production engineering practices.

That is the direction behind much of my open-source work.


⭐ Support the Projects

If these projects help you or your team, please consider starring the repositories.

Stars help improve visibility, attract contributors, and support continued open-source development.

Every star helps. Thank you!


📫 Contact

🌍 Open to global remote opportunities.

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