Resources
Playbooks, guides, and best practices for AI-native E2E testing.
MCP vs API: What Is Actually Different
Most MCP servers wrap APIs, so the two are not alternatives. The real difference is who does the discovering: an API expects a developer to read docs and write integration code, while MCP lets the model find and call the tool at runtime.
OpenCode vs Claude Code: Open Source Agent or Managed One?
OpenCode is infrastructure you point at any model. Claude Code is a managed agent tied to one. The decision is about who owns the harness, and it has consequences for cost, portability, and what you can run offline.
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.