Testing
Most browser automation tools assume the web is stable and predictable. Skyvern doesn't. Built around the insight that modern web applications are dynamic, multi-step, and increasingly protected against bots, Skyvern approaches browser automation as an AI agent problem rather than a scripting problem. This post covers what Skyvern
Testing
Browser automation has always been a brittle affair. You write a selector like #submit-btn, the design team renames it to .cta-button, and suddenly your entire test suite is broken. Stagehand, an open-source framework built by Browserbase, takes a fundamentally different approach: instead of hard-coded selectors, it uses large language models
Testing
Playwright is already one of the most capable browser automation frameworks available. Fast, cross-browser, with excellent TypeScript support and a rich assertion library — it sets a high bar for traditional test automation. But the AI wave hasn't left Playwright behind. A growing ecosystem of extensions, plugins, and integrations
Testing
When Anthropic released Claude's computer use capability in 2024, it marked a shift from LLMs that generate text to LLMs that take actions. Computer-use models can see a screen, reason about what's on it, and control a computer through mouse clicks, keyboard input, and scrolling — just
Testing
The Python AI ecosystem has exploded with tools for building LLM-powered applications, but most of them operate on text. Browser Use bridges the gap: it's a Python library that gives LLMs the ability to actually interact with web browsers, making it a natural fit for teams building AI-powered
Testing
Gradual rollouts and canary deployments reduce risk but introduce new testing problems: how do you test that the rollout percentage is correct, that monitoring detects regressions, and that rollback works before you need it in production? This guide covers testing strategies for the full progressive delivery lifecycle. What Makes Progressive
Testing
Flagsmith supports local evaluation mode where flag rules are downloaded once and evaluated in-process. This makes it ideal for testing—no HTTP calls during test runs. This guide covers testing flag evaluation, targeting rules, percentage rollouts, and identity overrides in Jest without a running Flagsmith instance. Why Flagsmith Is Testable
Testing
LaunchDarkly is the enterprise standard with the most complete SDK ecosystem. Statsig combines feature flags with built-in A/B experimentation and product analytics. Unleash is the open-source option you self-host. This comparison covers SDK quality, testing support, pricing model, and the tradeoffs for teams of different sizes. Why the Tool
Testing
GrowthBook is an open-source A/B testing and feature flag platform with a JavaScript SDK that works in both Node.js and browsers. This tutorial covers SDK setup, writing Jest unit tests for flag evaluation, Playwright tests for UI experiment variants, and setting up GrowthBook in CI without a live
Testing
A/B testing infrastructure is code, and code needs tests. This guide covers testing the experiment layer itself: variant assignment consistency, statistical significance calculations, minimum detectable effect, sample size requirements, and percentage rollout correctness—not just whether the feature exists behind the flag. Testing the Test Infrastructure Most teams write
Testing
Playwright can automate the browser half of email flows—fill out forms, trigger emails—but it can't read inboxes. Connecting Playwright to IMAP lets you complete the loop: trigger an action in the browser, wait for the email to arrive via IMAP, extract the OTP or link, then
AI Testing
Real test data is scarce, sensitive, and hard to maintain. LLMs can generate realistic synthetic test data at scale — covering edge cases that real datasets miss and eliminating PII concerns. This guide covers practical techniques for generating test data with LLMs: schema-based generation, edge case discovery, data augmentation, and validating