spec

To turn feature requests into structured requirement specifications, you apply template-driven generation to produce machine-readable docs with frontmatter tags, system models, and acceptance criteria for downstream teams.

A machine-readable requirement spec is a structured document with frontmatter tags like component and domain, needed when translating ambiguous product requests into aligned, trackable implementations for downstream teams.

Write requirement specs by populating a template with frontmatter tags for retrievability, then detailing the system model, business rules, acceptance criteria, dependencies, and open questions to complete the outline.

Requirement spec generation works for typical product features across domains by applying a consistent ADLC-aligned outline and referencing retrieved context to inform decisions for any feature request.

The best way to document open questions and out of scope items in product specs is using a comprehensive template that isolates these constraints alongside assumptions and external dependencies to prevent misaligned implementations.

Retrieved context and ADLC alignment improve requirement documentation by referencing existing information to inform decisions, ensuring the generated spec integrates seamlessly into the broader application development lifecycle process.