Resources

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

The Two-Speed E2E Testing Strategy: Fast by Default, Adaptive When the UI Changes
End-to-end testing usually breaks down in one of two ways.
From Prompt to Proof: How to Verify AI-Written UI Changes and Turn Them into Regression Coverage
AI coding agents are already changing how software gets built. They implement UI updates quickly, refactor aggressively, and ship more surface area per sprint than most teams planned for. The bottleneck has simply moved: if code is produced faster than it can be verified, quality becomes a matter of
How HeyGen Cut QA Time by 60% with Shiplight AI
HeyGen's engineering team went from spending 60% of their time maintaining Playwright tests to spending 0%. Here's how they did it with Shiplight's intent-based testing.
Why We Built Shiplight AI
AI coding agents changed how software gets written. But nothing changed how it gets tested. We built Shiplight to close that gap.
Fast *and* Resilient E2E: Building a Two-Speed Test Suite with Shiplight AI
End-to-end testing has always lived in a painful trade-off.
From Tribal Knowledge to Executable Specs: How Modern Teams Build E2E Coverage Everyone Can Trust
End-to-end testing often fails for a simple reason: it is written in a language most of the team cannot read.