The future of test automation isn’t about choosing code or no-code—it’s about combining both. Learn how this balanced approach reduces bottlenecks, speeds regression testing, and empowers QA teams to scale quality with confidence.
Discover why the strongest test automation strategies don’t pit code against no-code. Learn how integrating both approaches reduces bottlenecks, speeds up regression testing, and empowers teams to deliver quality software faster.
The newest updates to Applitools Autonomous and Eyes introduce AI-assisted test creation, built-in API and data support, and previews of upcoming MCP and mobile features.
Learn how teams are slashing test maintenance by up to 75% using self-healing automation, no-code authoring, and intelligent test grouping—plus a real-world case study from Peloton.
Even with 100% code coverage, critical bugs still slip through. In this post, we explore five common gaps in software test coverage—from missed visual defects to untested browser variations—and how modern teams are using visual AI and no-code test automation to close them.
Discover the top 5 Applitools webinars of 2025 covering AI-driven testing, no-code strategies, and ROI-focused automation. Watch on-demand and learn Adam Carmi, Cory House, Eric Terry, and more.
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.
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.
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.
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 testing delivers real business value by reducing costs, lowering risk, and accelerating software releases. Learn how it maximizes ROI with automation, self-healing tests, and better defect detection. Explore key insights and real-world benefits.
Discover how Applitools Autonomous uses no-code tools, AI accuracy, and self-healing tests to enhance efficiency and scalability in end-to-end testing.