Model of Information & Meaning
Project map connecting requirements, decisions and implementation
MiMa transforms fragmented project knowledge into a structured, versioned and continuously evolving model. It connects product goals, requirements, assumptions, architectural decisions, tasks, implementation facts and their relationships within a unified project knowledge system. Instead of treating specifications as static documents, MiMa preserves the evolution of project understanding: what changed, why it changed, which sources support it and how decisions affect implementation. The system is designed to consume normalized inputs from MiPi and implementation state from Light Circuit while remaining independent from any specific AI model or tracker.
- Role
- Creator, Product Architect, System Analyst
- System
- Java 21 / Spring Boot / PostgreSQL / LLM
From fragmented documentation to a living project model
Project knowledge is usually scattered across specifications, task trackers, source code, meeting notes and individual decisions. These sources quickly diverge: requirements become outdated, implementation details remain undocumented, and the reasoning behind important decisions is gradually lost. MiMa is designed as a structured knowledge layer for the entire project. It maintains a connected model of product goals, requirements, constraints, architectural decisions, tasks, components and implementation facts. Each element is stored not as an isolated note, but as part of a wider system of relationships. The project map is updated throughout the development lifecycle. New requirements can affect architecture and existing tasks; implementation results can confirm, refine or contradict the original specification. MiMa records these changes and preserves the context in which they occurred. Within the Hydra Alpha ecosystem, Mind Pipe prepares and normalizes incoming information, MiMa turns it into project knowledge, and Light Circuit connects that knowledge with tasks, development activity and implementation feedback. The goal is not to replace human analysis with automatic documentation generation. MiMa provides a controlled environment where AI can identify relationships, suggest updates and highlight inconsistencies, while meaningful changes remain visible and reviewable by a person.