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Spec-Driven Development (SDD) is rapidly emerging as the essential response to the crisis of reliability and "architectural amnesia" caused by unstructured "vibe coding" in AI-assisted development, fundamentally shifting the human engineer's primary contribution from implementation code to the specification itself. This evolution is manifested across tooling in a three-level maturity model: Spec-First development, exemplified by lightweight approaches like Kiro which use the specification primarily as a transitional artifact to guide initial code generation before potentially drifting; Spec-Anchored development, standardized by tools like GitHub Spec Kit, which elevate the specification (or "Project Constitution") into a permanent, living lifecycle artifact that enforces a structured, multi-phase workflow (Specify → Plan → Tasks → Implement); and the most advanced paradigm, Spec-as-Source, championed by Tessl, where the specification effectively is the source code, and the underlying AI-generated implementation is treated as a transient, read-only compilation artifact. Crucially, this progression is enabled by supporting standards like the Model Context Protocol (MCP) and OpenAPI, which provide the machine-readable context and rigorous structure necessary for controlling non-deterministic Large Language Models and ensuring the final code is reliable and traceable