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

A recent article discusses the growing concern that AI-assisted coding tools may be negatively impacting software quality. The author argues that the issue is not with the AI technology itself, but rather with how development teams manage their quality assurance processes. As developers increasingly rely on LLMs to generate code, the traditional oversight mechanisms often fail to keep pace. The piece emphasizes that relying on AI without robust code review, testing, and architectural oversight leads to technical debt and maintainability issues. Instead of blaming the tools, the author suggests that engineering managers must adapt their workflows to include stricter validation and human-in-the-loop verification. By treating AI-generated code as a draft that requires rigorous inspection, teams can maintain high standards while benefiting from the productivity gains offered by modern AI assistants.