How-To Spec-Driven AI Development (opens in new tab)

AI does not fail only because it is unreliable. It often fails because we ask it to fulfill expectations we never explained. That is the core of spec-driven development for me. Not process. Not documentation theater. Not a return to slow software delivery. Spec-driven development is the practice of giving AI the information it needs to do the work correctly: purpose, context, boundaries, constraints, architecture, business expectations, acceptance criteria, and review gates. If the AI should ...