AI Meets GUI Testing: Explore the New AI-Powered Capabilities in Squish

Missed it the first time? Watch the recording + live Q&A: AI-Powered GUI Testing with Squish

If you weren't able to join our previous live session (or if you attended but still have questions), this is your next chance to get those answers!

In this webinar, we cover how QA teams are using AI to move faster without sacrificing test reliability. Rather than treating AI as a layer added on top of your existing workflow, Squish embeds it where it actually matters: in the IDE, in your code editor, and at the UI interaction layer itself.

We walk through Qt Quality Solutions' strategy for generative AI, then go hands-on with two capabilities already in Squish today, plus an early look at what's next:

• Squish AI Assistant: Built directly into the Squish IDE, this AI Assistant helps you write test scripts, troubleshoot failures, and onboard faster. It's designed for the moments where you'd otherwise be scanning documentation or waiting on a colleague.
• Squish with AI Code Editors: If your team already uses AI-powered editors like GitHub Copilot or Cursor, this session shows how to bring Squish into that environment. Using the Squish CLI and the Squish Model Context Protocol (MCP) Server, you can generate and refine test scripts without leaving your preferred tooling.
• Squish Vision (coming soon): Get a first look at the AI capability QA teams are most excited about. Squish Vision is a computer vision-based approach to GUI testing that requires no element selectors or access to application internals. It interacts with UI elements the way a human would—resilient to layout changes, theme updates, and resolution differences across platforms. We'll show you where it's headed and what it's designed to solve.