Code & No-Code Journeys: The Maintenance Shortcut
You’ve built the tests—but can they survive the next sprint? This next session or our Code & No-Code Journeys series focuses on avoiding the uphill battle of test maintenance by shifting to smarter, low-maintenance workflows.
We’ll walk through examples of how teams are reducing brittle locator dependencies, improving test reliability, and cutting down on manual rework using AI. Plus, you’ll see how Applitools Autonomous adapts to UI changes without constant test updates, giving teams a more durable foundation as apps evolve.
Key Takeaways:
- Identify where maintenance costs are creeping in—and how to stop them
- Learn how to reduce flakiness using visual baselines instead of brittle locators
- See how Autonomous’ execution AI adapts to UI changes with less effort
- Explore maintenance strategies for fast-moving teams with limited QA bandwidth
Expert Speaker
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.
You’ve built the tests—but can they survive the next sprint? This session focuses on avoiding the uphill battle of test maintenance by shifting to smarter, low-maintenance workflows. We’ll walk through examples of how teams are reducing brittle locator dependencies, improving test reliability, and cutting down on manual rework using visual AI.
We’ll also show how Applitools Autonomous adapts to UI changes without constant test updates, giving teams a more durable foundation as apps evolve.
Key takeaways:
- Identify where maintenance costs are creeping in—and how to stop them
- Learn how to reduce flakiness using visual baselines instead of brittle locators
- See how Autonomous adapts to UI changes with less effort
- Explore maintenance strategies for fast-moving teams with limited QA bandwidth
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