decompose-requirements

You break down complex feature requirements by feeding a feature request or requirements document into a state machine and Gherkin scenario generator. This produces phased task files that map directly to E2E scenarios and project milestones for predictable, traceable delivery.

Gherkin-first decomposition is a planning approach that converts requirements into stateful scenarios organized by transitions. It enforces pattern matching, state machine definition, and Gherkin scenario generation to prevent coverage gaps in complex feature delivery.

State machine definition validates feature requirements by visualizing and enforcing all possible states and transitions. This prevents gaps in complex feature planning and ensures the decomposed tasks cover every scenario mapped to the E2E testing output.

Yes, requirements decomposition maps tasks directly to E2E test scenarios. The process enforces an end-to-end mapping step that provides output structures specifically designed for downstream E2E test and implementation tasks.

The best way to split large requirements documents for AI context windows is phased, stepwise decomposition. Breaking requirements into task-sized pieces organized by state transitions and Gherkin scenarios enables predictable planning and traceable delivery within context limits.

Yes, Gherkin scenarios are needed to decompose requirements into phased tasks. The decomposition process enforces steps spanning pattern matching, state machine definition, and Gherkin scenario generation to yield a scalable, traceable plan.