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Code Intelligence and Architecture Alignment

Vision Driver

The future vision calls for CAS to move from pattern extraction toward full code understanding and continuous alignment between intended architecture and implementation reality.

Current State

The current execution sequence and orchestration diagrams show code repositories, CI, rule context loading, alignment analysis, and architecture work generation. These flows establish a path for operational governance, but code intelligence remains primarily represented as future structural analysis, deterministic extraction, and alignment signals rather than a mature capability.

Desired Future State

CAS should understand codebase structure, identify boundaries and dependencies, map implementation evidence to patterns and architecture intent, and detect where code deviates from AID, ADRs, or governed patterns. The capability should support both prevention and detection of architectural drift.

Evolution Gap

The gap is a governed code intelligence model that can translate repository structure into architecture evidence. Current workflows can run and persist governance artifacts, but they do not yet provide a complete architectural representation of modules, dependencies, boundaries, drift, and fit/gap recommendations.

Why This Matters

Code intelligence is foundational to closing the loop between architecture intent and delivery. Architecturally, it grounds AID and AEM claims in implementation evidence. Governance improves because drift becomes visible earlier. Operationally, teams can implement features and refactors with stronger architectural context.

Expected Outcomes

  • Code structure is represented as governed architecture evidence.
  • Alignment checks compare AID, ADRs, patterns, and code reality.
  • Drift findings produce Architecture Work rather than remaining isolated reports.
  • CI and delivery workflows gain evidence-backed prevention and detection signals.

Dependencies

  • Architecture Work Registry
  • GovernanceOps
  • AID and AEM lifecycle
  • Rule context loading
  • CI/CD validation model

Vision Evidence

The vision identifies code structural analysis, architectural boundary detection, code-to-pattern mapping, AID-vs-code comparison, and automated fit/gap analysis as required future capabilities.

Define the first code intelligence evidence model and the governance boundary for how code-derived findings become Architecture Work, alignment findings, or CI validation signals.