In recent years, terms like “spec-driven development” and “prompt engineering” have gained popularity alongside the rise of AI-assisted coding tools. They are often presented as new paradigms that redefine how software is built. However, a closer look reveals that these concepts are not entirely new—they are, in many ways, a continuation of long-established practices under different names. The Core Idea Has Always Existed At the heart of software development has always been a simple principle: Define what the system should do before deciding how to implement it. This principle is embodied in: Requirements engineering Software design methodologies Model-driven development The idea of writing structured specifications and refining them iteratively is not new. It has been a foundational part of software engineering for decades. What Has Actually Changed? The real shift is not in the methodology, but in execution. Traditionally: Human → Requirements → Code → Software Today, with AI: Human → Specifications → AI → Code → Software The difference lies in who writes the code. The machine now performs a task that previously required significant human effort. The Rise of “Prompt Engineering” The term prompt engineering suggests a new engineering discipline. However, in practice, it often refers to: Writing clear and structured instructions Iterating on inputs to improve outputs Understanding system behavior through experimentation These activities resemble: Technical writing Requirements refinement Interface interaction design While they require skill, calling them “engineering” may stretch the traditional definition of the term. Is It Really Engineering? Engineering typically implies: A strong theoretical…
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