writing-plans

You can convert an approved specification by extracting acceptance criteria, decomposing work into path-specific tasks, ordering dependencies, and proving bijective coverage. This produces a disciplined implementation plan ready for execution without guesswork.

Bijective coverage proof in task decomposition ensures every extracted acceptance criterion maps to a specific task and vice versa. This mathematical validation prevents missed requirements and vague tasks before writing the final plan artifact.

To prepare a sprint plan from a feature specification, extract acceptance criteria with stable IDs, apply MVP slicing, and order task dependencies. This creates an executable plan resilient to mid-flight changes for team implementation.

Yes, task decomposition supports farm-enabled task orchestration in repositories using codeArbiter gates. The generated plan enforces clear handoff readiness and concrete verification steps compatible with these governance environments.

The best way to slice an MVP from a feature specification is by extracting acceptance criteria, decomposing tasks path-specifically, and applying MVP slicing rules. This isolates the minimum viable subset while maintaining bijective coverage proof.

Implementation plans miss acceptance criteria when they skip formal extraction with stable IDs or lack bijective coverage proof. Applying structured task decomposition ensures every requirement maps to a concrete, verifiable task before execution.