How to Review AI-Generated Code Without Slowing Delivery

AI-generated code changes the scale and speed of software delivery, but many review processes still rely on workflows designed for human-written code. The article outlines a layered review model where automated systems enforce syntax, security, dependency, and AI-specific validation, while engineers focus on architectural intent, business logic, and security-critical decisions. It also explains why excessive manual review and superficial approvals both fail in AI-heavy environments. Engineering leaders should care because sustainable AI adoption depends on redesigning review systems around risk, context, and review velocity.