Context
What the project demonstrates
Many automation suites fail for the same reasons: too much UI coverage, too little clarity on why a test exists, and no meaningful separation between fast feedback and slow confidence checks.
This project exists to show a different standard: a public, runnable example of how to combine frameworks and layers without losing the underlying strategy that keeps the suite maintainable.
Primary lesson
The most mature automation strategy is usually not the broadest one. It is the one that places checks at the cheapest layer capable of giving trustworthy signal.
Architecture
How the automation layers are organised
API layer
Fast contract and data validation using Playwright without a browser, covering CRUD, filtering, response structure, and mutation correctness.
Web UI layer
Browser tests target critical journeys, interaction patterns, and cases that only matter when exercised through a real interface.
Unit layer
Pure utility behavior is validated separately to keep business-logic feedback fast and avoid inflating higher-level suites with low-level checks.
Performance and mobile samples
k6 and Kaspresso show how the same separation-of-concerns thinking extends to latency budgets and Android coverage.
Patterns
Implementation choices that keep suites maintainable
- Encapsulation over selector sprawl Page Object Model and Cypress commands isolate UI mechanics from test intent.
- Shared typed fixtures Reusable data structures reduce duplication and keep API and UI tests aligned.
- Threshold-based quality gates Performance checks use explicit pass-fail criteria rather than observational reporting only.
- Parallel CI execution Frameworks run concurrently so coverage breadth does not automatically translate into slow pipelines.
Takeaway
Why this project matters
Stack
Tools involved
- Playwright
- Cypress
- Jest + ts-jest
- k6
- Kaspresso
- TypeScript
- GitHub Actions