Delivery Slowdown in AI-Generated Codebases — Why Every Sprint Takes Longer Than the Last

"Six months ago, we shipped features in two days. Now a single change takes two weeks." If you've built an application with AI tools — Cursor, Lovable, Bolt.new, Replit, v0 — and you're past the first few months of development, there's a good chance your delivery speed has declined. Not gradually. Sharply. This is not a team problem. It's a structural one. The Mechanism: Verification Debt Every AI session optimizes for the immediate task. "Fix the checkout bug" — the fix goes where the symptom is. "Add email notification on purchase" — added inline in the payment handler. Each session is locally correct. But none of them maintain awareness of the broader codebase structure. The result: files that started as single-purpose now handle multiple concerns. Business logic scattered across layers. A dependency graph where everything is connected to everything. This creates verification debt — the growing cost of verifying that a change doesn't break something unexpected. VERIFICATION DEBT COM