How Self-Healing Tests Work

Pie’s ability to create relevant tests and adapt to application changes stems from its deep, structural understanding of the product.

Building a Contextual Model

During the initial Discovery phase:

• AI agents perform an exhaustive crawl of the application
• They navigate to every screen, identify every interactive element, and map all possible user paths
• This information is synthesized into a comprehensive contextual model
  A structured representation of:
  • The application’s UI
  • Components
  • Workflows

This model forms the foundation for all test generation and execution.

No More Brittle Tests

A major pain point of traditional automated testing is test maintenance. Pie solves this with Self-Healing Tests.

• Tests are based on:
  • The contextual model
  • Natural-language intent (e.g., “click the login button”)
• Not dependent on brittle selectors (e.g., click("button[id='submit-123']"))

If a button’s ID or text changes:

• The AI can still identify the correct element using:
  • Context
  • Position
  • Function

This intelligent adaptation allows tests to “heal” themselves, virtually eliminating the need for manual test maintenance.