adlc-spec-specify

To turn a natural language feature prompt into a formal software specification, provide your feature description to initiate the workflow that extracts goals, success criteria, and constraints into a testable SPEC file ready for review.

The ADLC workflow for feature specification is an end-to-end process that captures a mission brief, scaffolds a feature branch, and authors a structured specification document complete with assumptions, user scenarios, and acceptance criteria.

You generate a feature branch and spec scaffolding by inputting your feature goals, which automatically creates a structured specification file from templates and establishes the branch to begin planning.

Yes, you can automate quality checks and clarifications for your feature specification by running a reflexive quality checklist that surfaces uncertainties and manages scope alignment through targeted clarifications.

The best way to compile user scenarios and acceptance criteria into a spec document is using an AI-assisted workflow that orchestrates assumptions, testing criteria, and constraints into a complete, testable specification artifact.

You need to define success criteria and constraints before writing a feature spec to ensure the generated specification captures the correct scope, maintains compliance with the ADLC workflow, and produces formal, testable acceptance scenarios.