Record-and-Playback Test Automation Is Not Enough for the AI Era

Short summary

Record-and-playback test automation becomes unscalable when generating hundreds of noisy flows that users must manually review. AI-native testing should instead cluster similar flows, remove noise, infer test intent, and rank risk—while accounting for data dependencies that make naive replay brittle.

• •Record-and-playback was useful for onboarding but creates a review backlog at scale
• •Good tests need intent, assertions, stable locators—not just raw browser event sequences
• •AI-native testing should cluster flows, infer intent, and propose high-value test candidates automatically

Generated with AI, which can make mistakes.