Visualizing the Invisible: Seeing the Shape of AI Code Debt

When we talk about technical debt, we usually talk about lists. A linter report with 450 warnings. A backlog with 32 "refactoring" tickets. A SonarQube dashboard showing 15% duplication. But for AI-generated code, lists are deceiving. "15 duplicates" sounds manageable—until you realize they are all slight variations of your core authentication logic spread across five different micro-frontends. Text-based metrics fail to convey structural complexity . They tell you what is wrong, but not where i