AI-Generated Code Quality Control: A Spec-Driven Workflow with Automated Skills
The author shares a 15-step AI-assisted workflow for code quality control, starting with spec-driven development, automated skills for code review, regression checks, test data rehearsal, non-functional requirements validation, mandatory manual review, and optional security/extensibility checks, all orchestrated via AI-written skills and git integration.
