Lightcodepedia — A Distributed Model-Driven Low-Code Platform for Computing Education

Low-code platforms are typically built for industry productivity, yet their declarative and interactive structure makes them valuable for computing education. This demo presents Lightcodepedia, a distributed, browser-based low-code environment designed to make core computing concepts—abstraction, state, validation, and automation—visible and testable through progressive disclosure. Learners begin by manipulating interactive widgets that immediately expose behavior, enabling self-directed exploration without formal syntax. As they proceed, Lightcodepedia reveals underlying executable artifacts -- specifications, models, diagrams, tests, and code -- illustrating how each layer contributes to the system's model-driven architecture. This outside-in progression supports confidence building while preserving rigor, helping educators introduce computing in a structured yet accessible manner. Lightcodepedia's unique contribution lies in its distributed architecture, where each independently deployed node functions as an autonomous, browser-based learning environment with transparent version control and optional cloud execution, and user-defined visibility (public, private, open-source, or closed). This design distinguishes it from existing centralized low-code tools and supports scalable, instructor-controlled deployments. Embedded tests and ''living documentation'' keep artifacts aligned, while optional AI copilots provide contextual guidance without replacing human reasoning. During the demo, attendees will follow a short, hands-on sequence -- from interactive widgets to executable models and editable code -- demonstrating how Lightcodepedia can serve both as an accessible entry point and a bridge toward professional practices such as model-driven engineering (executable models, state machines, and test-first workflows). The session invites participants to experiment directly with their own connected devices and explore how the platform can be adopted or extended within their teaching contexts.