system-architecture

Align cross-cutting features with layered system architecture by mapping implementation to the 10-layer system vision. This reduces ownership ambiguity across AI, learning, risk, and observability layers while preventing architectural drift.

A 10-layer system vision is a canonical architecture model defining specific responsibilities for AI (Layer 5), learning (Layer 6), risk (Layer 7), and observability (Layers 9–10). It provides governance and safety constraints for consistent systems design.

Enforce layer boundaries during PR reviews by referencing AGENTS.md and FINAL_SYSTEM_VISION.md documentation. This verifies that code changes conform to safety constraints and correctly map to the 10-layer model before merging.

You need system architecture alignment for observability and risk management when cross-cutting features span Layers 7 through 10. It ensures changes follow governance constraints and clarifies layer responsibilities when ownership is unclear.

No, this approach relies on existing FINAL_SYSTEM_VISION.md and AGENTS.md documentation to guide feature planning. Without these canonical files, the 10-layer alignment cannot enforce safety constraints or layer boundaries.

Implementation drift happens in layered architecture when code organization lacks alignment with canonical layer responsibilities. Without mapping features to the 10-layer vision, ownership boundaries for AI, risk, and observability become ambiguous.