Building Resilient E2E Tests Through Intent-Based Locators

E2E tests frequently fail when UIs change, not because tests are poorly designed, but because teams treat locators as the source of truth rather than a performance cache. This article introduces the Intent-Cache-Heal pattern, which uses AI to resolve elements by intent when selectors fail, making tests far more maintainable. As AI-driven development accelerates UI changes, this paradigm shift becomes essential for keeping tests stable without constant maintenance.