Architecture Intent
Strategic Vision
- What we are building: A multi-layered Architecture Intelligence Platform connecting Business Intent, Architecture, and Code through automated reasoning loops.
- Why it exists: To eliminate the gap between high-level architectural intent and low-level code implementation while embedding governance directly into the development lifecycle.
Project Context
primary_context: ideas-to-life-cas aw_count: 30 alignment_findings: 2
Current State Alignment
Partially aligned. The system suffers from high governance latency (22:1 proposal-to-done ratio) and 'Persistence Lag' where implementation frequently outpaces documentation.
Focus Areas / Roadmap
- Immediate: Stabilize the 'Automated Detect-Analyse-Execute Loop' to mitigate review bottlenecks.
- Short-term: Back-populate ADRs for 'DONE' implementation items to restore structural integrity.
- Medium-term: Finalize and integrate the Business Intent Schema.
- Long-term: Implement full Architecture Knowledge Graph for cross-project intelligence.
Gaps & Tensions (Risks)
- Governance Velocity Bottleneck: Review capacity cannot match the speed of automated intelligence generation.
- Documentation Latency: Technical 'Done' state is reached without terminal ADR acceptance.
- Semantic Gap: Absence of a formal schema for mapping business requirements to architectural patterns.
Principles
- Governance through participation, not control.
- Decisions must be persisted as the authoritative source of truth.
- Traceability over abstraction: Every insight must link back to evidence.
- Extend, don't rewrite: Build on existing CAS primitives.
Emergent Heuristics
governance_pressure_threshold: When the proposal-to-approval ratio exceeds 5:1, prioritize automation of non-breaking alignment checks. integrity_lock: System evolution stages cannot advance to DONE in the AEM if the corresponding ADR is not in the ACCEPTED state. intent_first_principle: New business capabilities must emit 'intent signals' before architectural patterns are modified.