extract-requirements

Extract requirements from undocumented code by running the automated extraction pipeline, which analyzes your codebase through six phases—automated extraction, validation rules, use cases, business rules, data models, and workflow mapping—to generate a structured requirements.md document with full traceability to source code.

Yes. Requirement extraction systematically discovers business logic, validation rules, and workflows from undocumented codebases, producing comprehensive requirements documents, capability maps, and use case catalogs that enable faster onboarding and reduce months of manual reverse engineering.

Automated requirement extraction accelerates migration planning by generating baseline requirements from existing code, including data models, business rules, and use case mappings, while providing validation and traceability to ensure no critical logic is missed during transition.

Requirement extraction discovers and documents hidden business rules, validation logic, and data workflows from code, producing auditable requirements with source traceability—essential for compliance verification and M&A assessment of system capabilities and dependencies.

The extraction pipeline produces structured requirements documentation including a requirements.md file, use case catalogs, data model diagrams, workflow mappings, validation rules, and cross-references to source code for complete traceability.

Yes. Automated extraction generates comprehensive capability maps and requirements documents that serve as baseline knowledge for onboarding new teams, eliminating the need for manual code review and reducing knowledge transfer time significantly.