A dbt-first semantic assumption check for SQL changes

A dbt-first tool that automatically validates SQL changes against semantic assumptions (e.g., uniqueness, referential integrity, or business logic) before deployment. It is designed for data engineers and analytics engineers using dbt who want to catch data quality issues early in CI/CD pipelines. Its interesting because it shifts data testing left, treating semantic checks as first-class code artifacts rather than afterthoughts.