Formalizing Code Architecture for the AI Era

The evolution of AI coding agents fundamentally changes how architectural rules must be preserved and enforced in software systems. While human developers learn implicit architectural constraints through experience and code review, agents can only follow explicitly documented rules, creating significant risk of architectural drift. This shift transforms architecture from tribal knowledge into formally written, enforceable 'constitutions' that define system boundaries—a critical governance requirement for maintaining code quality at scale.