Testing
Vitest's built-in reporters — verbose, dot, tap, junit — cover most cases. But sometimes you need test output in a custom format: a Slack message shaped exactly how your team wants it, a JSON file that feeds your internal dashboard, or a compact CI format that highlights only failures.
Testing
Unit tests verify logic in isolation. End-to-end tests verify user-visible behavior. Neither tells you whether your distributed system's observability is correct — whether the traces you're emitting are complete, correctly named, and carrying the right attributes. Asserting on OpenTelemetry spans in integration tests fills
Testing
Test results that live only in CI logs are easy to miss. Routing pass/fail summaries to Slack means the right people see failures the moment they happen — not hours later when someone thinks to check the pipeline. Here's how to set it up with webhooks. Creating a
Testing
Allure Report transforms JUnit 5 test results into interactive dashboards with trend history, failure categories, and rich attachments. The built-in Surefire/Gradle XML output tells you what failed. Allure tells you why, how often, and whether it's getting better or worse. Setup Maven: <dependency> <
Testing
Exploratory testing doesn't require specialized tools — a text editor and a bug tracker will do. But the right tools reduce friction between testing and documentation, helping testers capture observations in real time without losing focus on the software under test. This guide covers the main categories of exploratory
Testing
Exploratory testing is simultaneous learning, test design, and test execution. Instead of following a predetermined script, the tester investigates the software using their knowledge, intuition, and structured heuristics to discover unexpected behavior. The term was coined by Cem Kaner in 1984, but the approach has become increasingly relevant as software
Testing
Agile development moves fast. Features land in sprints, not multi-month waterfall phases, and testing has to keep pace. Exploratory testing fits agile well — it's faster than scripted testing, catches bugs that scripts miss, and adapts to rapidly changing requirements. But making it work inside a sprint requires
Testing
Canary deployments reduce release risk by routing a small percentage of production traffic to the new version before rolling it out fully. If the canary behaves badly — error rates spike, latency increases, business metrics drop — you roll back with minimal user impact. Argo Rollouts is the most capable Kubernetes-native
Testing
Design systems are the foundation of consistent UI. A broken button component or incorrect token in your design system affects every product that consumes it. Testing a design system requires more rigor than testing a single application — components must work correctly across all their states, variants, themes, and accessibility requirements.
Testing
Storybook interaction testing lets you simulate user behavior directly inside your stories — clicks, typing, keyboard navigation — and assert the results. Since Storybook 8, all of this runs through the @storybook/test package, which provides a unified API built on top of Testing Library and Vitest. This guide covers everything you
Testing
Both Storybook and Playwright can test UI components in a real browser. Both give you real DOM interaction, real CSS, and real browser behavior. But they approach component testing from different angles, and choosing the right one (or combining both) depends on your priorities. This guide compares Storybook and Playwright
Testing
Storybook 8 made component testing a first-class citizen. What was previously a documentation tool is now a full component testing platform — complete with built-in test runner, Vitest integration, and portable stories that run outside Storybook itself. This guide covers everything: setting up Storybook 8 for testing, writing stories