What problem does it solve?
It eliminates the difficulty of understanding what a complex codebase actually does from the perspective of product behavior, validations, and domain rules.
Core Features & Use Cases
- Domain surface scanning: Finds ORM models, validation/guard logic, service/use-case layers, tests, enums/types, config/thresholds, migrations, controllers/routes, and cross-cutting middleware where business meaning is encoded.
- Structured domain model extraction: Converts entities into a domain reference with fields, relationships, lifecycle/states, and explicit invariants.
- Business rule extraction into rule clusters: Documents eligibility, authorization, eligibility thresholds, calculations, side effects, and state transitions as plain-English conditions backed by annotated code and test assertions.
Quick Start
Ask the AI to extract the business logic from the current codebase into a single llms.txt-style Markdown reference that documents entities, invariants, and product rules.