Building Reliable AI Codebases with MCP

AI-assisted development often breaks down at regeneration: routes drift, permissions change, and architectures subtly mutate. In this technical demo, we show how EcosystemCode uses the Model Context Protocol (MCP) as a deterministic integration spine, keeping a single UML blueprint stable across databases, APIs, and services, even as systems are regenerated and requirements evolve.
You’ll see how progressive disclosure keeps context lean, sensitive data out of the model, and full-stack builds coherent, auditable, and repeatable, not just once, but every time.
We invite anyone who would like to take part as a Contributor to please register through our Luma link and join our Luma channel. This allows us to welcome you into events with full participation access: https://luma.com/xai75bb3