Spec-Driven Development Reframes an Old Requirements Problem

Spec-driven development is the latest trend in the broader wave of AI-assisted software development. The central idea may sound new, but it reminds me strongly of an older challenge: product owners once had to become very good at writing requirements in Jira, usually as user stories.

The tools and formats have changed, but the underlying dependency remains. A team still needs to express intent clearly enough for someone—or now something—to turn it into working software. In the past, that meant agreeing on how to write useful issues and acceptance criteria. Today, teams may choose a common language or specification format that works for both people and AI systems.

I see many of the same strengths and weaknesses. A shared specification can create clarity, expose assumptions and give the team a common reference point. But it can also create false confidence. A detailed document is not necessarily a correct understanding of the problem, and a formal structure does not remove ambiguity by itself. The quality of the result still depends heavily on the quality of the thinking and communication that came before it.

What struck me while reading the article was how much it seemed to be defending the claim that spec-driven development is an improvement. That alone makes me question the claim. If a practice is genuinely better, the evidence should come from clearer outcomes, fewer misunderstandings or more effective delivery—not from presenting an old coordination problem in a new vocabulary.

The useful question is therefore not whether specifications are now fashionable, or even where they live. It is whether the team has found a shared language that improves understanding and delivery. Spec-driven development may help with that, but it does not remove the need for people who can define requirements well. It may simply make that skill important in a new interface.