I build systems, tooling, and AI-assisted workflows that make complex software and physical environments easier to operate.
My work sits at the intersection of:
- ⚙️ Cloud-native infrastructure
- 🤖 AI-assisted engineering
- 🌐 Edge / physical systems
- 🛠️ Developer tooling and automation
I enjoy turning messy, hard-to-operate environments into workflows that are simpler, safer, and more repeatable — for both humans and agents.
Exploring how AI agents can participate in real engineering workflows:
- specs → tasks → implementation
- review → testing → iteration
- documentation → release workflows
- multi-agent coordination and verification
Current interests:
- Claude Code
- Codex
- ChatGPT
- orchestration systems
- agent coordination
- AI-assisted development pipelines
Building and operating systems around:
- Go
- Kubernetes
- Docker
- gRPC
- React / TypeScript
- cloud-native platforms
- distributed and edge environments
Particularly interested in:
- reliable automation
- deployment workflows
- observability
- developer experience
- infrastructure that fails gracefully
Working on systems that connect software with real-world environments:
- device onboarding
- cloud-to-edge orchestration
- runtime operations
- physical AI / edge workflows
- reliable integration across constrained systems
I see edge systems not as a niche, but as another form of operational infrastructure.
| Name | Purpose |
|---|---|
| Claude Code | Main implementation and deep coding agent |
| Codex | Parallel execution, delegated work, and isolated experiments |
| ChatGPT | Thinking partner for planning, architecture, writing, and visual reasoning |
| Frogo | Agent taskboard and execution tracking |
| Infinite Loop | Iterative debugging and verification engine |
| Hermes | Coordination and routing layer for agent workflows |
I treat AI not as a replacement for engineering, but as a new operating layer for building software.
I care about:
- clean interfaces over clever abstractions
- workflows over isolated tools
- systems that are operable by both humans and agents
- reliable automation over impressive demos
- documentation that improves collaboration
- local-first and edge-capable workflows when practical
- infrastructure that stays understandable under failure
- agent-native development systems
- AI-assisted engineering workflows
- infrastructure and developer tooling
- cloud-to-edge runtime systems
- software that reduces repetitive engineering work
- Email: mailto:rhoninl@hotmail.com
- LinkedIn: https://www.linkedin.com/in/rhonin-lee/
Build systems that people — and agents — can actually operate.