Testing
GraphQL schema evolution is a double-edged sword. The schema gives you a formal contract between clients and servers. But that contract is only useful if you enforce it — if you can detect when a server-side change would break existing clients before it reaches production. This guide covers the tools and
Testing
Contract tests are only valuable if they run automatically and block bad deployments. A pact that exists locally but isn't in your CI pipeline is theater. This guide shows you how to wire Pact into GitHub Actions and Jenkins so that contract verification is a real deployment gate,
Testing
Running Detox tests locally is one thing. Getting them running reliably in CI is another. Mobile E2E tests have historically been the most painful part of CI/CD pipelines: emulators crash, builds are slow, and tests that pass locally fail for reasons that are hard to diagnose. This guide covers
Testing
Unit tests are the foundation of a React Native test strategy. They run fast, give immediate feedback, and catch logic errors long before they reach a device or simulator. Yet many React Native teams skip them or write tests that test nothing meaningful. This guide covers the practical patterns you
Testing
Native modules are the bridge between your JavaScript code and platform APIs — camera, geolocation, biometrics, push notifications, Bluetooth. They're essential for real apps, but they're also the reason React Native unit tests break: native modules don't exist in a Jest environment running on Node.
Testing
When it comes to end-to-end testing for React Native apps, two frameworks dominate the conversation: Detox and Appium. Both can drive real devices and simulators. Both support iOS and Android. But they take fundamentally different approaches, and that difference matters enormously for React Native projects specifically. This article breaks down
Testing
Microservices break in integration. A provider team updates an API response format, the consumer team doesn't know for two weeks, and then production falls over. The standard answer — integration tests against a shared staging environment — is slow, flaky, and doesn't scale. Pact takes a different approach:
Testing
Network requests are at the core of every modern web application — and they're one of the biggest sources of test instability. A backend that's slow, unavailable, or returns unexpected data can fail tests that have nothing to do with the code you're testing. cy.
Testing
Cypress is one of the most developer-friendly testing frameworks available. It runs in the browser, shows you exactly what's happening in real time, and has an interactive UI that makes debugging failures fast. If you've never written a test before — or you're coming from
Testing
Cypress Component Testing lets you mount individual components in a real browser and test them in isolation — without starting your full application. This approach fills the gap between unit tests (jsdom, fast but imprecise) and E2E tests (full browser, accurate but slow and expensive to maintain). This guide covers setup
Testing
Getting Cypress tests to run reliably in CI is more than installing a package. Browser tests need headless browsers, system dependencies, shared state management, and enough parallelism to keep pipelines fast. This guide covers the complete setup: GitHub Actions workflow, browser installation, parallelization, artifacts, and reporting. Basic GitHub Actions Setup
Testing
A Cypress test suite that starts clean can become a maintenance nightmare if it grows without structure. Duplicated login flows, fragile selectors, and tests that share state all contribute to slow, flaky, hard-to-debug pipelines. This guide covers the patterns that keep Cypress test suites maintainable as they grow. Use data-cy