Lunaria - Experimental AI-Assisted Low-Code Platform

Challenge

Modern technology stacks are often fragmented and difficult to access for learners and makers. The goal of Lunaria was to provide a simple but capable platform where complex systems can be controlled through readable scripts while preserving technical transparency.

Approach

I designed Lunaria as a combination of a Go runtime and a Lua scripting layer. Lua provides a human-readable control surface; Go provides a stable and secure execution core with modular APIs.

Main modules include messaging (ZeroMQ/MQTT), storage access, logging, rendering, QR generation, and OpenAI integration. The project intentionally follows an experimental path and evaluates not just technical architecture, but also AI-assisted software development workflows.

Snapshot

• Domain: Education / Generative AI / Systems research
• Time frame: 2025
• Technologies
  • Go (runtime and API engine)
  • Lua (scripting layer)
  • ZeroMQ, MQTT
  • APIs for storage, messaging, rendering, logging, QR, OpenAI
  • Nomad (deployment experiments)

Lunaria demonstrates how complex systems can become learnable and reproducible through clear abstractions and AI-assisted engineering.