The Full Agentic QA Loop for Mobile Applications [Testμ 2026]

At Testμ Conf 2026, TestMu AI engineer Shravan Mahajan demonstrated Kane CLI’s agentic QA workflow using a small product requirements document and an iOS simulator, producing four use cases, seven acceptance criteria, two scenarios, and two plain-text runnable tests. The proposed workflow separates requirement ingestion into a repository-based context graph, test design, execution, and evidence review to reduce the risk that an agent alters tests to conform to existing implementation rather than detecting deviations from specifications. One positive login test was run live and passed four steps, while the negative test was generated but not executed; the resulting evidence viewer showed action replay, coverage mapped to designed criteria, and a 71% coverage figure that the presenter characterized as specific to the small demo rather than a benchmark. The session highlighted mobile automation challenges involving sparse locators and gesture interactions, described credit-based LLM authoring followed by claimed zero-credit replay of passed tests, and promoted running only tests affected by requirement changes. Several capabilities, including replay, autohealing, impacted-test selection, failure analysis, and reliability improvements, were described but not demonstrated, while the live walkthrough included setup friction and used a simulator rather than the real device suggested by some promotional material.

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