Resources
Playbooks, guides, and best practices for AI-native E2E testing.
Performance Testing: What to Measure Before You Load Test
Most teams reach for load testing when the problem is a slow page for one user. Those are different questions with different tools, and answering the wrong one wastes a sprint.
Playwright MCP: Giving AI Agents a Real Browser in 2026
The Model Context Protocol lets a coding agent drive a real browser through Playwright, using accessibility snapshots rather than screenshots. Here is how it works, what it costs in tokens, where it breaks, and what has to happen after the agent closes the tab.
Playwright vs Puppeteer: Which Browser Automation Library?
Puppeteer drives Chromium well and is a smaller thing to learn. Playwright covers three engines, ships the test-runner features a real suite needs, and has become the default target for AI agent tooling. Here is when each still makes sense.
QA Automation: What It Is and What It Costs to Keep
Automating a test is cheap. Keeping five hundred automated tests trustworthy for three years is the actual job, and it is where most QA automation programs quietly fail.
Quality Engineering: What the Discipline Becomes in 2026
Quality engineering was the shift from testing software to building systems that produce quality. When agents generate most of the code, the job moves again: from writing the checks to designing what counts as evidence.
Selenium Testing in 2026: When It Is Still the Right Answer
Selenium is twenty years old, drives every browser through a standard, and runs in six languages. Those are real advantages. The cost is that everything modern frameworks give you for free, you assemble yourself.