Using the visual explorer, any member of your team can quickly browse through screenshots from all test runs to detect important visual regressions that typically slip through the cracks. Teams also use the explorer to validate expected visual changes and perform exploratory visual testing. For example, want to see screenshots for a given URL path and date? Just apply a filter.
Quality Engineering Resources
How We Built a System for AI Agents to Ship Real Code Across 75+ Repos [Part 2 of 2]
Learn how mabl moved agents from individual chat sessions into production pipelines that serve 25 engineers across 100+ repos.
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Introducing Active Coverage: Quality That Keeps Pace with Agentic Development
Active Coverage is the new way to integrate agentic software testing into your rapid release cycles, testing every piece of code your team creates with AI.
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How We Built a System for AI Agents to Ship Real Code Across 75+ Repos [Part 1 of 2]
Learn how development teams can productionize AI agents across the SDLC, not just as tools but as an architected pipeline with measurable governance.
Learn More