Resources
Playbooks, guides, and best practices for AI-native E2E testing.
Best AI Testing Tools in 2026: 12 Platforms Compared
An honest comparison of 12 AI testing tools and layers, from agentic QA platforms to visual testing and browser grids. Includes pros/cons and a practical selection guide.
Shiplight vs testRigor: Intent-Based Testing Compared
Shiplight keeps tests in your git repo and lets your coding agents author them, on a runtime built on Playwright; testRigor keeps them in a vendor console authored by QA staff. The architectures differ at every layer: where tests live, who authors them, how failures heal, and what you can take with you.
From Human-First to Agent-First Testing: What a Year of Building Taught Us
We built a cloud-based testing platform for humans. Then AI coding agents changed everything. Here's what we learned building a second product for agent-first workflows.
A 30-Day Playbook for Replacing Manual Regression with Agentic E2E Testing
Manual regression testing rarely fails because teams do not care about quality. It fails because it does not scale with product velocity. The moment your UI, permissions, and integrations start changing weekly, the regression checklist becomes a second product that nobody has time to maintain.
How to Make E2E Failures Actionable: A Modern Debugging Playbook (With Shiplight AI)
End-to-end testing rarely fails because teams do not care about quality. It fails because the feedback loop is broken.
AI-Native E2E Testing: A Practical Buyer’s Guide (2026)
A practical checklist for evaluating AI-native E2E testing platforms in 2026. Covers self-healing, CI/CD integration, auth/email flows, and enterprise readiness: with how Shiplight AI approaches each.