spec-to-implementation-plan

To turn a project specification into an actionable implementation plan, provide a spec document as input to automatically decompose it into modular phases like Foundation, Data Layer, Core Logic, and Interface. This generates a concrete implementation-plan.md with defined tasks and verification steps.

Parallel subagent orchestration accelerates feature breakdown by dispatching multiple AI subagents simultaneously to discover and detail modular chunks of a specification. This approach generates specific coding prompts and checkpoints, producing a structured todo.md to track verification criteria across parallel tasks.

Yes, you can use this approach to plan migrations and generate step-by-step coding prompts for AI agents. It translates migration specifications into phase-based executable tasks, defining dependencies and verification steps to ensure structured delivery and direct execution by AI subagents.

The best way to structure an executable development plan from a spec document is to divide it into sequential phases such as Foundation, Data Layer, Core Logic, Interface, Integration, and Polish. Each phase includes explicit dependencies, verification checkpoints, and outputs like implementation-plan.md and todo.md.

You need a project specification document, such as a spec.md file, as input to generate a phase-based implementation plan. The specification provides the necessary requirements and context to automatically decompose features into actionable development tasks with defined dependencies.

When converting specifications into development tasks, expect outputs like an implementation-plan.md and a todo.md. These files outline phase-by-phase tasks, dependencies, verification criteria, and specific prompts for AI subagents to execute the structured development plan.