Why Spec-Driven Development Fails— And a Better Way to Structure AI Development

Spec-Driven Development (SDD) promised a revolution: write detailed specifications, hand them to AI, and watch working software appear. It's a compelling vision. But after months of real-world usage, the community's verdict is increasingly clear — SDD's core assumption is flawed. That doesn't mean it was a waste. SDD opened an important conversation about how we should structure AI-assisted development. But the answer isn't what SDD proposed. What SDD Gets Right Let's give credit where it's due. SDD recognized a real problem: "prompt and pray" development doesn't scale. When you're building anything beyond a toy project, you need structure. You need context. You need a way to communicate intent to an AI agent that goes beyond "build me an auth system." This means, you need workflow for entire development process. GitHub's Spec Kit formalized this insight into a practical workflow: Specify → Plan → Task → Implement . The idea of giving AI agents structured context rather than ad-hoc pro