Introducing AI-Native Smart Heal for Automation Tests on Real Devices

Challenges Before Smart Heal

Before Smart Heal, locator failures were a recurring problem for QA and Dev teams:

• Brittle Tests: Even small UI changes like renaming a button or shifting an element broke scripts, causing frequent failures.
• Time-Consuming Maintenance: Testers spent hours updating and fixing locators manually after every release.
• Pipeline Instability: CI/CD builds often failed due to locator issues, creating false negatives and slowing deployments.
• Delayed Releases: Teams had to halt or rerun pipelines just to address test flakiness, increasing release timelines.
• Poor Visibility: When a locator failed, there was no automated context or suggestions, debugging meant digging through logs line by line.

Key Benefits of AI-Native Smart Heal for Automation Tests on Real Devices

• Resilient Test Automation: Keeps automation stable by auto-healing locator failures during runtime, even when apps undergo frequent UI or DOM changes.
• Faster Shipments: Prevents test breakages in fast-moving release cycles, enabling quicker go-to-market without compromising quality.
• Reduced Maintenance Effort: Minimizes the time teams spend fixing broken scripts manually, letting them focus on expanding test coverage instead.
• Improved CI/CD Reliability: Ensures smoother pipeline executions by automatically handling flaky locator issues, reducing false negatives.
• Transparent Healing Logs: Provides full visibility with detailed logs, healed locator mappings, and before-and-after screenshots in the dashboard.
• AI-Native Debugging: Delivers intelligent suggestions when healing isn’t possible, helping testers strengthen locators proactively.
• Real-Device Accuracy: Healing happens on TestMu AI’s real device cloud, ensuring fixes are validated in environments that match end-user conditions.
• Continuous Baseline Updates: Keeps locator baselines fresh by learning from every successful run, making the healing mechanism smarter over time.

Review Healed Tests in the TestMu AI Dashboard

• Healing Action Logs: Access detailed logs showing both the original and healed locators, giving you full visibility into what was fixed during the run.
• Before-and-After Screenshots: View side-by-side screenshots of the UI before and after the locator healing, helping you understand how the healing process worked.
• Healed and Unhealed Elements: Easily filter and view tests where Smart Heal was applied. Healed elements are highlighted, while unhealed failures are marked in red.
• AI-Native Insights: When Smart Heal can’t confidently heal a locator, it provides AI-driven suggestions and insights in the dashboard to help you improve your locators.
• Session Summaries: Hover over healed test builds to see a summary of the healing actions performed during the session, making debugging faster and more efficient.

Get Early Access

Smart Heal is currently in closed beta and evolving rapidly with user feedback. If you’d like to try it for your team:

👉 Reach out via our 24×7 chat or email us at [email protected].

👉 Once publicly released, Smart Heal will be included under AI credits.

Make your automation smarter, faster, and more resilient with TestMu AI Smart Heal.