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Architecture Intent

Strategic Vision

  • What we are building: An Architecture Intelligence Platform that connects business intent, architectural decisions, code implementation, and runtime state into a unified, continuously aligned system.
  • Why it exists: To transition from a static, decision-driven governance model to a dynamic, runtime-native intelligence layer that prevents architectural drift, enables strategic traceability, and embeds lightweight governance directly into operational delivery workflows.

Project Context

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

Current State Alignment

System is partially aligned. Governance velocity is bottlenecked (22:1 proposal-to-acceptance ratio). Artifacts lack mandated structured YAML schemas, relying on narrative markdown. Core orchestration pipeline lacks a persisted ADR. Strategic alignment capabilities (business intent ingestion, code intelligence, CI enforcement) are currently absent or manual.

Focus Areas / Roadmap

  • Phase 1: Governance Velocity & Schema Compliance (Immediate) - Process 22-item proposal backlog, enforce structured YAML schema across all active artifacts, persist Core Orchestration Pipeline ADR.
  • Phase 2: Strategic & Code Intelligence Integration (Short-term) - Define Business Intent schema, integrate as mandatory Alignment Engine input, implement code intelligence layer for automated drift detection.
  • Phase 3: Automated Guardrails & Continuous Governance (Medium-term) - Deploy CI pipeline validation for CAS skill enforcement, operationalize Detect-Analyse-Execute governance loop, establish ReasoningOps/GovernanceOps feedback mechanisms.
  • Phase 4: Ecosystem & Knowledge Graph Expansion (Future) - Integrate with enterprise architecture tools, build cross-project knowledge graph, develop interactive Architecture Intelligence Maps (AIM).

Gaps & Tensions (Risks)

  • Governance velocity bottleneck: High proposal backlog (22 items) vs low acceptance rate (1 item) stalls architectural evolution.
  • Schema compliance gap: Active artifacts use narrative markdown instead of structured YAML, hindering machine consumption and automated governance.
  • Decision provenance void: Missing persisted ADR for the core orchestration pipeline creates architectural single-point-of-failure risk.
  • Strategic alignment absence: No business intent signal ingestion or code intelligence layer exists to detect drift or map intent to implementation.
  • Manual enforcement reliance: CI validation for CAS skills is absent, leaving guardrails to contributor discipline rather than automated pipelines.

Principles

  • Extend, don't rewrite: Build on existing CAS primitives (patterns, ADR, AEM, AID).
  • Decisions remain central: All new capabilities must integrate with and reference the Architecture Decision Record.
  • Traceability over abstraction: Every architectural insight must link directly to verifiable evidence.
  • Human governance is authoritative: Automation participates and detects; architects interpret, govern, and decide.
  • Runtime-native governance: Shift from periodic review to lightweight, embedded operational participation.
  • Structured intent: Mandate machine-readable schemas for all architecture work and decisions to enable deterministic derivation.

Emergent Heuristics

governance_velocity_threshold: Maintain proposal-to-acceptance ratio below 5:1 to prevent intelligence staleness. schema_compliance_rule: All active architecture artifacts must conform to structured YAML contracts; narrative markdown is deprecated for machine consumption. drift_detection_trigger: Alignment checks should be event-driven on PR/commit and scheduled for strategic intent validation. intent_alignment_metric: Strategic alignment requires mandatory business intent signals in every major architectural decision cycle. automation_boundary: Automate detection and enforcement; reserve human judgment for interpretation, governance, and final decision authority.