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Interactive Architecture Intelligence Maps and Knowledge Graph

Vision Driver

The future vision calls for an interactive Architecture Intelligence Map, decision flow visualization, pattern relationship graph, timeline of architecture evolution, and a future knowledge graph layer for complex queries.

Current State

CAS has static diagram artifacts, architecture maps, intent documents, and relationship-bearing frontmatter. These provide architectural visibility, but exploration remains document-centric rather than graph-centric or interactive.

Desired Future State

CAS should provide an explorable architecture intelligence layer where architects can navigate decisions, patterns, architecture work, maps, intent, code evidence, and business intent as connected knowledge. The same relationship model should support visual exploration and structured queries.

Evolution Gap

The gap is a first-class relationship graph model and interaction layer. Current artifacts contain relationships, but they are not yet normalized into a governed graph that can power visualization, timelines, impact analysis, or cross-project queries.

Why This Matters

Interactive architecture intelligence makes CAS usable as an exploration and reasoning platform, not only a document generator. Architecturally, it reveals relationships and change impact. Governance improves because decision lineage and pattern evolution become easier to inspect. Operationally, it reduces the cost of understanding why the system evolved.

Expected Outcomes

  • CAS knowledge relationships are normalized into a graph-ready model.
  • Architects can explore decision flow, pattern relationships, and evolution timelines.
  • Cross-artifact and cross-project queries become possible.
  • Visualization reflects governed source artifacts rather than becoming a separate source of truth.

Dependencies

  • Knowledge Provider
  • Architecture Work Registry
  • Business Intent Integration
  • Code Intelligence
  • Relationship and provenance conventions

Vision Evidence

The vision identifies AIM, decision flow visualization, pattern relationship graphs, evolution timelines, and knowledge graph queries as future capabilities for making architecture explorable and interactive.

Define the governed relationship model for Architecture Work, ADRs, patterns, AEM, AID, diagrams, business intent, and code evidence before selecting visualization or graph storage mechanisms.