Spec-Driven Development Changes Everything

From Coding to Orchestrating I started experimenting with spec-driven development while using AI to help implement features, and I expected the biggest improvement to be speed. But speed wasn’t what impressed me the most. It was clarity. Very quickly, a pattern showed up: If the spec was vague, the code was vague. If the spec was missing constraints, the code made risky assumptions. If the spec was clear, structured, and specific, the output was surprisingly solid. Now read that again, but replace the word “spec” with “requirements.” This problem has always existed in software development. AI didn’t create this problem — it exposed it. And then something clicked for me: Agentic AI was not just about fast coding - it's about clear thinking. Clarity > Coding But if AI can now generate functions, endpoints, tests, and documentation, then writing code is no longer the main bottleneck. The bottleneck is — and really always has been: Do you understand the problem? Can you define the busin