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.