The Productivity Paradox: How AI Code Acceleration Creates Technical Debt

AI coding tools are accelerating development velocity dramatically, with 85% of developers using them and completing tasks 55% faster. However, this speed comes with hidden architectural costs: refactoring work has plummeted from 25% to under 10%, duplicated code has surged eightfold, and developer trust in AI accuracy has dropped from 43% to 33%. The trend suggests that without proper governance and oversight, gains in velocity come at the cost of long-term code quality and maintainability.