The Model Context Protocol (MCP) is gaining traction as a smarter way to connect AI with testing tools. Here's what QA teams need to know—and how Applitools is putting it into practice.| AI-Powered End-to-End Testing | Applitools
In two new episodes of Thoma Bravo’s Behind the Deal, Applitools leadership dives into how AI and Visual Testing are reshaping enterprise QA. Watch to learn why Applitools is scaling fast—and what it means for the future of test automation. The post Behind the Deal: How Applitools is Scaling AI-Driven Testing appeared first on AI-Powered End-to-End Testing | Applitools.| AI-Powered End-to-End Testing | Applitools
Hybrid test automation—combining coded and no-code tools—is helping teams reduce maintenance, accelerate releases, and scale quality across skill levels. Learn how a balanced strategy leads to faster innovation, stronger collaboration, and smarter resource use.| AI-Powered End-to-End Testing | Applitools
Scaling test automation doesn't mean choosing between code and no-code—it means knowing when to use both. Learn how one team bridged skill gaps, boosted efficiency, and cut maintenance by 40% with a hybrid approach.| AI-Powered End-to-End Testing | Applitools
Webinar recap of a novel approach to streamlining test automation tech stack that led to cost savings, faster test execution times, flexibility across CI providers, and more.| Automated Visual Testing | Applitools
Visual testing evaluates the visible output of an application and compares that output against the results expected by design. You can run visual tests at any time on any application with a visual user interface.| AI-Powered End-to-End Testing | Applitools
