Why do your end-to-end tests keep missing obvious visual bugs? Learn how visual testing can automatically spot the difference and protect your UI from embarrassing errors.
#1about 4 minutes
The hidden cost of small UI and styling bugs
Minor visual errors erode user trust and accumulate as technical debt, even if they don't break core functionality.
#2about 3 minutes
Why humans and automated tests miss visual bugs
Inattentional blindness causes humans to overlook unexpected changes, while traditional tests only validate explicitly defined assertions.
#3about 3 minutes
How visual testing works with screenshot comparisons
Visual testing automates the "spot the difference" process by comparing a baseline screenshot with a current one to highlight unintended UI changes.
#4about 2 minutes
The pitfalls of building your own visual testing solution
Writing your own visual testing can lead to false negatives due to pixel sensitivity, rendering differences, and high maintenance overhead.
#5about 8 minutes
Setting up the open source Visual Regression Tracker
The Visual Regression Tracker is a self-hosted, open-source tool that integrates with Cypress for managing and approving visual diffs.
#6about 6 minutes
Integrating Percy into your CI/CD pipeline
Percy simplifies visual testing for larger projects with seamless CI integration for platforms like GitLab and GitHub Actions, including notifications.
#7about 6 minutes
Managing flakiness from dynamic content and loading
Avoid false negatives from dynamic data like dates by freezing time, and prevent flakiness by using assertions to wait for the UI to stabilize before taking a snapshot.
#8about 6 minutes
Handling intentionally random or changing elements
Manage elements that change by design, like random images or server-side timestamps, by ignoring specific regions or temporarily modifying their CSS.
#9about 2 minutes
Four key learnings for implementing visual testing
A summary of key takeaways, including giving tests "eyes," using screenshot comparisons, handling inconsistencies, and recommended starting tools.
#10about 4 minutes
Q&A: Deciding what to test and separating test types
Answering audience questions about how to prioritize what to test visually and whether to separate visual tests from standard end-to-end tests.
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