Why AI's Code Speed Demands Rigorous Architecture

AI code generation has dramatically accelerated development, but recent data reveals a troubling paradox: as AI optimizes for speed, code duplication surges while refactoring collapses, driving rapid technical-debt accumulation. A 2025 analysis of over 200 million code changes shows copy-pasting now exceeds structured refactoring—a first. Because machines excel at output but fail at architecture, human expertise in system design has shifted from optional to essential.