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Architecture Intent

Strategic Vision

  • What we are building: A Runtime-native Architecture Intelligence Platform that bridges the gap between business intent, architectural decisions, and code implementation.
  • Why it exists: To move beyond manual documentation into a continuous reasoning loop that prevents architectural drift and automates governance participation.

Project Context

primary_context: ideas-to-life-cas aw_count: 30 alignment_findings: 3

Current State Alignment

The system is currently suffering from registry pollution (placeholder data) and a governance bottleneck (3:1 proposal-to-done ratio). While the architectural model is accepted (decoupled execution), the formalization of patterns like 'Prompt-as-Code' is lagging.

Focus Areas / Roadmap

  • Priority 1: Registry Sanitization - Purge placeholder artifacts and enforce strict schema validation on ingestion.
  • Priority 2: Governance Velocity Balancing - Throttle automated work generation or increase review frequency to reach 2:1 target.
  • Priority 3: Pattern Formalization - Generate ADR-080 for Prompt-as-Code and finalize Business Intent Schema.
  • Priority 4: Knowledge Graph Implementation - Transition from flat-file derivations to graph-based knowledge representation.
  • Priority 5: Code Intelligence Layer - Implement structural analysis to detect implementation-to-intent deviations.

Gaps & Tensions (Risks)

  • Registry Integrity: Presence of placeholder 'dummy_string' artifacts undermines system authority.
  • Governance Throughput: Decision velocity is currently 1/3 of the proposal generation rate, leading to intelligence staleness.
  • Formalization Debt: Foundation patterns like Prompt-as-Code are being implemented without corresponding ADR persistence.
  • Lifecycle Desynchronization: Disconnect between AEM evolution stages and the underlying ADR governance states.

Principles

  • Extend primitives: Build on existing CAS primitives (patterns, ADR, AEM) rather than creating redundant abstractions.
  • Centrality of Decisions: All architectural intelligence must pivot on and integrate with ADRs.
  • Traceability over Abstraction: Every architectural insight must be linked to verifiable evidence.
  • Human-in-the-loop: Automation participates and suggests; humans interpret, govern, and decide.

Emergent Heuristics

velocity_threshold: The proposal-to-decision ratio must be maintained below 2:1 to ensure governance relevance. evidence_boundary_rule: The repository root is the authoritative boundary for project isolation to prevent engine-code leak. schema_enforcement: Non-conforming or placeholder IDs ('dummy_string') trigger immediate registry invalidation.