If AI coding is lowering your code quality, you're not managing quality right

The article argues that AI coding tools don't inherently lower code quality if proper quality management practices are implemented. By using spec-driven development, comprehensive unit testing (>95% coverage), and other defensive layers, teams can actually reduce bugs while increasing code output by 2-3x. The key is having AI review requirements for gaps and edge cases upfront, and using test-driven development practices rather than blindly merging AI-generated code.