What problem does it solve?
The reversa-inspector skill solves the risk of breaking user-critical behavior during migration by defining rigorous, paradigm-aware acceptance criteria that compare the new system to the legacy.
Core Features & Use Cases
- Parity strategy definition: selects validation modes (e.g., shadow, characterization, contract, data parity) and sets explicit acceptance metrics, observation windows, and cutover blocking rules.
- Paradigm-adapted coverage: enforces additional parity dimensions when the migration changes paradigms (e.g., event ordering, idempotency, eventual consistency, invariants, immutability, supervision).
- Flow-critical parity specs: produces parity artifacts as specs (not executable tests), generating parity_tests/*.feature in valid Gherkin format with consistent tags and traceability.
Quick Start
Ask an AI agent workflow to run the reversa-inspector on the confirmed migration SDD inputs to generate _reversa_sdd/migration/parity_specs.md and parity_tests/*.feature with the appropriate parity coverage for the target paradigm.