Architecture deep dives, research breakdowns, and practitioner insights from the frontline of AI quality engineering.
The final post in the series. Wire your complete Playwright suite into GitLab CI and GitHub Actions with Docker containers, sharding, artifact uploads and Slack notifications on failure.
A 10-minute test suite becomes a 2-minute test suite with the right parallelism strategy. Learn workers, sharding across machines, flaky test retry, and reports your team will actually read.
Catch CSS regressions that functional tests completely miss. Learn Playwright's built-in screenshot comparison, masking dynamic content, testing across viewports, and managing baselines in CI.
Logging in through the UI for every test is the biggest cause of slow test suites. Learn storageState, global setup, role-based fixtures and how to test with multiple simultaneous users.
Test your UI without depending on a real backend. Intercept HTTP requests, mock API responses, simulate errors, test loading states, and stub third-party services.
Raw test code breaks as your app grows. The Page Object Model wraps every page into a reusable class, so when the UI changes you fix one file instead of fifty tests.
Assertions are how your tests decide pass or fail. Learn the full Playwright expect API, the difference between web-first and value assertions, soft assertions, and how to write your own matchers.
The difference between a brittle test suite and a resilient one is almost entirely about locators. Learn getByRole, getByLabel, getByTestId, chaining, filtering and when to reach for CSS selectors.
Write your first real Playwright test from scratch. Understand the anatomy of a test file, how browsers and pages work, and why Playwright's auto-waiting makes tests so reliable.
Before writing a single line of test code, understand what makes Playwright different from Selenium, Cypress and WebdriverIO — and get it installed in under 5 minutes.
Go beyond basic CI. Build a production Docker image for Playwright, run test shards across parallel Kubernetes pods, collect results with a merge Job, and manage secrets with ConfigMaps and environment injection.