spec-driven-development

To turn fuzzy requirements into clear specs, convert ambiguous intent into a structured project definition featuring explicit scope, non-goals, assumptions, open questions, and verifiable acceptance criteria. This structured spec skeleton ensures planning and implementation proceed safely without guesswork.

Requirements clarification is the process of converging incomplete boundaries into a structured spec. You need to define project scope and non-goals when a request lacks measurable success criteria, ensuring work is ready for specification convergence rather than direct coding or task breakdown.

To write verifiable acceptance criteria, rewrite ambiguous success conditions into explicit, testable standards that guide delivery. This process surfaces assumptions and open questions early, converting partial requirements into a structured spec skeleton suitable for downstream planning.

No, you cannot use spec-driven development for task breakdown and direct coding. It enforces exclusions for discovery, research, and implementation, strictly producing a clear spec skeleton suitable for downstream planning when boundaries or acceptance conditions are incomplete.

The best way to surface assumptions and open questions is to apply specification convergence to partial requirements. This crystallizes boundaries and non-goals early, producing a structured spec skeleton that ensures planning and implementation can proceed safely without rework.