How AI Can Auto-Generate Resilient Playwright Locators and Cut Test Maintenance

A test automation engineer with 18 years of experience describes three practical ways to use AI-assisted locator generation within Playwright test suites. The first approach involves feeding DOM snapshots to a large language model, which then recommends resilient locators using Playwright's built-in methods like getByRole and getByLabel instead of brittle CSS selectors. The second method uses AI to suggest fallback locators when a primary one breaks during a test run, flagging the change for human review rather than silently rewriting the suite. A third technique translates natural-language BDD scenarios directly into draft Playwright locator code, helping less-experienced testers contribute without deep API knowledge. The author argues that AI's role here is to eliminate tedious selector work, not to replace human judgment in test design.