What happens when KaneAI misinterprets a user’s natural language instruction? Can testers ‘fine-tune’ its understanding, or does it require retraining at LambdaTest’s end?
Can we do debugging for failed test cases in test execution
When debugging intermittent issues in real devices (battery drain, OS-level interruptions, push notifications), how effective is KaneAI in logging and reproducing them?
How does KaneAI handle sensitive client data while still leveraging AI for insights?
What happens for dynamic elements where locators keep changing?
What all inputs or accesses does KaneAI require to generate Test Cases?
Can the automation code generated be tailored for a particular automation framework?
How to debug intent-based test failures versus selector-based failures?
Can we perform Green Screen testing?
Can KaneAI support infrastructure testing
Do we also have an option to add few more tests of our own and have kane AI to generate an automated test out of it
Do we also generate test reports after the test runs? Also can it be integrated with Slack or emails?
Does KaneAI provide test covergage as well? And can we integrate with Jira?
Can KaneAI adapt to domain-specific testing needs, for example, in banking or healthcare projects?
Does KaneAI support testing of apps with languages other than English?
How we can Leverage KaneAI for Performance Tests?