AI-Driven Testing | Applitools Autonomous

The collection focuses on advancements in autonomous testing methodologies, highlighting the integration of visual AI and automated testing solutions. It addresses the challenges faced by traditional testing practices, particularly in eCommerce and mobile applications. The content emphasizes the benefits of using AI to improve testing efficiency, accuracy, and coverage, while reducing manual effort and resource demands. Key features discussed include no-code authoring, automated maintenance, and enhanced support for complex software environments.

Shaping Your 2026 Testing Strategy | Applitools Product Pulse - January 2026
Smarter Testing Safer Systems Balancing AI and Oversight in Regulated Environments
Code and No-Code Journeys: The Speed Run Descent
Code and No-Code Journeys: The Collaboration Campground.pdf
Applitools Platform Pulse: What's New and What's Coming - July 2025
Code and No-Code Journeys: The Maintenance Shortcut
Code and No-Code Journeys: The Coverage Overlook
Creating Automated Tests with AI - Cory House - Applitools.pdf
AI-Assisted, AI-Augmented & Autonomous Testing
Code or No-Code Tests: Why Top Teams Choose Both
The ROI of AI-Powered Testing, presented by Applitools
Building No-code Autonomous E2E Tests_Applitools.pdf
Conquer 6 Testing Challenges_Applitools.pdf
Autonomous End-to-End Testing for Online Banking Applications Presented with QA Media
Proven Approaches to AI-Powered E2E Testing.pdf
Applitools Autonomous 2.0 Sneak Peek.pdf
Leveraging AI for Mobile App Testing on Real Devices | Applitools + Kobiton
Visual AI for eCommerce: Improving Conversions with a Flawless UI