Resources

Playbooks, guides, and best practices for AI-native E2E testing.

Auto-Generated Pull Request Tests That Actually Cover the Change
Pull requests are where product risk concentrates. They are also where teams have the least time to think about testing.
From Local Proof to Release Confidence: A Service-Level Tour of Shiplight AI
Shipping fast is no longer the hard part. Proving you did not break anything is.
Where Strong Teams Actually Edit AI-Generated Tests
AI can draft a usable end-to-end test in seconds. The gap is what happens next.
Auto-generated tests from pull requests are only useful if they protect user behavior
Teams looking at pull-request-driven test generation are usually trying to solve the same problem: every change should arrive with proof, but nobody wants developers spending half the sprint hand-authoring regression coverage.
Self-healing tests for dynamic UIs: how Shiplight AI Fixer keeps intent intact when the interface won’t sit still
Modern product teams do not ship a “UI.” They ship a living interface that changes shape daily: experiments roll out, components get refactored, copy gets rewritten, layout shifts across breakpoints, and design systems evolve in place. That pace is healthy for product velocity, but it is brutal for
Stop Buying Test Automation One Feature at a Time
Most teams do not fail at QA because they picked the wrong assertion engine. They fail because they bought a pile of disconnected testing capabilities that never became a reliable system.