SPDD represents a pragmatic evolution in AI-assisted development, addressing the tension between individual productivity gains and systemic quality risks. By treating prompts as governed artifacts, it shifts the focus from "generating more code" to "generating better-aligned code." The REASONS Canvas acts as a forcing function for clarity, reducing ambiguity before implementation—a critical improvement over ad-hoc LLM interactions. However, the method's success hinges on three assumptions: (1) t...