adlc-spec-plan

Spec-driven implementation planning requires a feature specification as input to automate phased artifact generation. It produces research notes, data models, contract scaffolds, and quickstart guides while enforcing phase gates to ensure architecture-conscious design decisions and traceable governance artifacts.

The process generates research.md for Phase 0, data-model.md and contracts/ for Phase 1, and quickstart.md. These artifacts document decisions, establish data structures and interfaces, and update agent context for subsequent implementation runs.

Creating data models and contracts from a feature spec is automated through a mandatory Phase 1 stage. The workflow processes the specification to scaffold data-model.md and contract files, ensuring architecture-conscious design and alignment before implementation begins.

Automated planning enforces phase gates by requiring mandatory Phase 0 research and Phase 1 data modeling before proceeding. This satisfies planning governance demands by producing traceable artifacts and documenting decisions at each workflow stage.

Documenting research and design decisions in specification-driven development is best handled by generating structured research.md and data-model.md artifacts. These files capture Phase 0 research notes and Phase 1 modeling decisions, creating a traceable record for governance and team alignment.