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
Not all AI testing is the same. This post breaks down the differences between assisted, augmented, and autonomous models—so you can scale automation with the right tools, at the right time.| 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
No-code test automation tools are making test creation faster and more inclusive. Learn how AI-powered platforms empower teams to expand test coverage without adding complexity.| 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