Smarter Test Automation, Powered by Agentic AI

Reduce flakiness, cut debugging time, and minimize test maintenance—so your automation stays fast, stable, and reliable.

Self-Healing Agent

The Self-Healing Agent detects and remediates broken locators in run time for reduced build failures and suggests resilient locators for permanent fixes.

Remediate broken locators automatically with Self-Healing AI Agent - YouTube

Remediate broken locators automatically with Self-Healing AI Agent

Reduced maintenance

Automatically remediate locator failures at runtime to reduce maintenance and keep builds green.

Reliable AI healing

Use AI to detect DOM and attribute changes with high accuracy and minimal false positives.

Broad coverage

Apply self-healing consistently across mobile and web frameworks for reliable test execution.

Test Failure Analysis Agent

Synthesizes test reports, logs, stack traces, history, similar failures and more to identify failure root cause, type, and suggest actionable next steps for remediation.

BrowserStack Test Failure Analysis agent

Root cause analysis

Synthesizes multiple inputs (test logs, history, smart tags and more) to give an explanation for the test failure.

Failure categorisation

Categorizes failure as product bug, environment issue, automation issue or any custom issue based on the RCA.

Failure Remediation

Get next steps to remediate the failure or report the bug along with necessary artifacts and fixes.

FAQs

How does the self healing agent automatically fix broken locator issues in CI/CD pipelines?

Self-healing agent uses AI/ML to detect locator failures and recovers them using baseline snapshots, maintaining test stability without manual intervention.

What happens when my test locators break during automated runs?

The self-healing agent captures baseline snapshots and applies AI-powered recovery to fix locators issues, keeping your CI/CD pipeline running.

Can I see which locator issues were healed in my test results?

Yes, healed locators issues are visible in logs and dashboards, showing exactly what was fixed during your test execution.

How does the Test Failure Analysis Agent simplify debugging?

It converts stack traces and error logs into plain-English explanations using LLM-ready prompts, automatically identifying whether the root cause is in automation code, the product, or the test environment.

Can the agent connect signals across different logs and traces?

Yes — it stitches together logs, traces, hooks, and run history to uncover hidden dependencies, helping teams spot upstream or environment issues that aren’t obvious from a single failure.

Does the agent only explain issues, or can it suggest fixes too?

Beyond summaries, the agent provides actionable fixes aligned with your framework (e.g., code-level changes or next-step validations), reducing manual trial-and-error in debugging.