sdd-spec-write

You can convert informal notes into an executable AI spec by answering cadrage questions to outline functional domains, which generates a complete SPEC.md draft with explicit triggers and acceptance criteria.

Spec Driven Development is a methodology that transforms informal requirements into precise, testable specifications with traceability. You need it when building projects that require formal triggers, constraints, and acceptance criteria for AI agents.

You maintain traceability across SDD requirements by enforcing atomicity and using formal EXG, CA, and CL identifiers alongside a structured changelog to track specification updates.

Yes, SDD spec writing works without external dependencies, as it operates independently to generate structured specifications from your notes using internal grammar references like GRAMMAR.md.

The best way to draft acceptance criteria for AI agents is to use a guided cadrage workflow that enforces requirement atomicity and maps clear constraints across functional domains.

Your AI agent fails to execute unstructured notes because they lack precise triggers, constraints, and atomic acceptance criteria required for reliable implementation.