Problem
Test repositories often become collections of scripts with no clear risk model. This project treats automation as an engineered system: boundaries, reusable fixtures, intentional suites, useful evidence, and delivery feedback.
Quality strategy
Fast smoke checks protect pull requests while broader regression coverage can run on its own cadence. Failures retain the evidence needed to diagnose them, and assertions focus on user-visible or contract-level behavior.
Engineering value
The repository demonstrates that quality engineering is software engineering applied to confidence: readable abstractions, controlled data, deterministic behavior, and feedback that developers can act on.