Resources
Playbooks, guides, and best practices for AI-native E2E testing.
Stop Shipping Blind: How to Test Email-Driven User Journeys End to End with Shiplight AI
If your product uses email for authentication, onboarding, invitations, or password resets, your customer journey does not live entirely inside the browser. Yet many “complete” end-to-end test suites quietly exclude email because it is painful to automate. The result is predictable: teams ship with
How self-healing tests work with Shiplight AI Fixer for dynamic UIs
Modern UIs change for good reasons. Product teams iterate quickly, design systems evolve, A/B tests roll out, feature flags reshape layouts, and component libraries get refactored for performance or accessibility. The problem is not change itself. The problem is what change does to end-to-end tests
Reducing False Positives in UI Tests with Shiplight’s AI-Powered Assertion Layer
False positives are the most expensive kind of passing signal in UI testing.
The best way to get instant PR feedback and block merges with Shiplight in GitLab CI
Merge requests are where quality either becomes a habit or a last-minute scramble. The difference is not how many tests you have. It is whether every PR gets fast, trustworthy feedback that is tied to the actual UI change and enforced automatically.
How to Get Shiplight to Auto-Create End-to-End Tests from PR Diffs
Pull requests are where engineering teams make a decision that matters: ship the change, or hold it back. The problem is that most CI setups can only answer the question “did some tests pass?” not “did we prove the behavior this diff changed?”
The Three-Line Browser Contract That Keeps Fast Teams Honest
The hardest part of modern QA is no longer running tests. It is deciding what deserves to be verified before a change ships.