QA Automation Showcase by Ken IsiahoQA Automation Showcase by Ken Isiaho

QA Automation Showcase

Ken Isiaho

Automation Engineer

QA Engineer

Cypress

Playwright

A runnable example of automation strategy, not automation theatre.

This project demonstrates how to structure layered automation in practice: broad fast feedback at lower layers, selective UI coverage where it earns its keep, and performance and mobile checks where they meaningfully reduce risk.

The goal is not maximum test count, but maximum useful signal per test maintained. That is the difference between a healthy suite and a drag on delivery.

Summary

Scope API, web UI, unit, performance, and Android sample coverage

Principle Pragmatic pyramid design with explicit tradeoffs between speed, stability, and confidence

Value A concrete example of automation architecture thinking in production

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

This showcase is less about proving familiarity with tools and more about demonstrating judgement. The central point is that good automation architecture is a product of prioritisation, not just framework coverage.