Reflection-Driven Design: Elevating AI Code Quality Through Requirements Review

While AI-assisted coding has advanced significantly, most workflows overlook a critical bottleneck: the quality of specifications themselves. This article demonstrates how introducing a reflection mechanism and requirements review step—mirroring traditional software development practices—can elevate AI-generated code to production standards, reducing hidden bugs and architectural issues. For development teams adopting AI coding tools, this represents a paradigm shift in ensuring code quality at the source rather than relying solely on post-generation reviews.