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

AI-generated code can lower quality if merged without checks, but a layered approach can keep bugs stable or even lower them while doubling output. First, spec-driven development with AI reviews of requirements cuts post-build bugs by identifying gaps and edge cases. Second, unit tests at over 95% coverage are written and validated by the agent, ensuring new code meets the spec before manual or end-to-end testing confirms overall functionality.