Scaling Test Reliability with MCP and Autonomous Troubleshooting
See new Applitools updates—including Eyes MCP Server and Autonomous Troubleshooting—that help teams reduce setup, quickly see what changed, and scale across complex applications.
Teams are shipping more frequently, but keeping test results reliable without increasing maintenance remains a challenge. This session highlights recent Applitools updates that simplify testing for complex applications and integrate quality into development workflows—rooted in deterministic, purpose-built AI that delivers consistent results.
We’ll demonstrate how the new Eyes MCP Server and Autonomous Troubleshooting mode help teams reduce setup effort and quickly see what changed when a test fails, within existing environments. By focusing on intent and providing side-by-side comparisons of failed steps, these updates make it easier to scale automation coverage without increasing technical debt.
Feature Highlights & Sneak Peeks:
- Eyes MCP Server: Connect Eyes to AI assistants like Cursor, Claude Code, and Copilot to automatically set up frameworks and add visual checkpoints through context-aware chat.
- Autonomous Troubleshooting: Speed up root-cause analysis by comparing failed steps to the last successful run to see exactly where a flow diverged.
- Regions-Only Match Level: Focus Autonomous validation on high-value UI components such as navigation or pricing while ignoring non-essential layout noise.
- Roadmap Preview: Preview what’s next as we continue to reduce maintenance and improve the clarity and reliability of test results.
Teams are shipping more frequently, but keeping test results reliable without increasing maintenance remains a challenge. This session highlights recent Applitools updates that simplify testing for complex applications and integrate quality into development workflows—rooted in deterministic, purpose-built AI that delivers consistent results.
We demonstrate how the new Eyes MCP Server and Autonomous Troubleshooting mod help teams reduce setup effort and quickly see what changed when a test fails, within existing environments. By focusing on intent and providing side-by-side comparisons of failed steps, these updates make it easier to scale automation coverage without increasing technical debt.
Feature Highlights & Sneak Peeks:
- Eyes MCP Server: Connect Eyes to AI assistants like Cursor, Claude Code, and Copilot to automatically set up frameworks and add visual checkpoints through context-aware chat.
- Autonomous Troubleshooting: Speed up root-cause analysis by comparing failed steps to the last successful run to see exactly where a flow diverged.
- Regions-Only Match Level: Focus Autonomous validation on high-value UI components such as navigation or pricing while ignoring non-essential layout noise.
- Roadmap Preview: Preview what’s next as we continue to reduce maintenance and improve the clarity and reliability of test results.
From test reliability to scaling across environments, we can walk through what’s happening in your setup and how teams are addressing it.
Expert Speakers
Applitools
Tim Hinds is a senior member of the Product Team at Applitools. He’s worked in Dev, Test, and Ops tool development for over a decade. He’s been a startup founder taking on the roles of product owner, full stack developer, and automated and manual tester. A frequent advisor, speaker, and writer, Tim is passionate about helping teams operate more efficiently through smart automation.
Applitools
Heather Vercillo is a senior member of the Product Team at Applitools. With a career spanning testing across industries, she blends strategic marketing with technical storytelling to communicate product value. She is a frequent speaker at industry events—including Gartner Application Innovation Summit, Ministry of Testing, and Automation Guild.