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TestMu AI Documentation

website·Indexed 39 days ago

https://www.testmuai.com/support/docs/

Documentation for TestMu AI (formerly LambdaTest), a cloud platform for running and scaling test automation. Features include accessibility testing (ADA/WCAG/EAA/508 compliance), HyperExecute, KaneAI, Appium app automation, real device ADB shell support, and integrations with ACCELQ.

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What's inside TestMu AI

  1. Overview of TestMu AI App Distribution

    TestMu AI App Distribution allows teams to upload Android and iOS app builds via a dashboard or CI/CD pipeline, organize them by package/bundle ID, and distribute them to internal QA and external beta testers via secure links. It is currently in Beta and only supports builds signed with an Enterprise certificate. The feature is located in the sidebar under Real Device → App Management and Distribution.

  2. Overview of Camera Image Injection

    Camera Image Injection allows developers to test image capturing, QR code scanning, and barcode scanning on over 5,000 real devices in the TestMu AI Real Device Cloud. It uses Sensor Instrumentation to inject a camera code module that mocks or overrides the Android or iOS SDKs.

    Constraints:

    • iOS apps signed with Enterprise Certificates cannot use this tool because app resigning is unavailable.
    • For virtual devices, this feature is only available for Android App Automation Testing.

  3. Overview of Assistive Touch for real iOS devices

    Assistive Touch allows developers to perform system-level actions (like returning to the Home Screen or taking screenshots) via the testing toolbar during manual sessions on real iPhones and iPads, removing the need for physical device interaction. This feature requires a Real Device Plus Live Plan.

  4. Overview of TestMu AI-Tunnel

    TestMu AI Tunnel is a secure and encrypted tunneling feature designed for developers and QA professionals. It establishes a secure connection between a user's local machine and real machines in the TestMu AI cloud, enabling the testing of internal or locally hosted web applications on a variety of cloud-based browsers and devices.

  5. Overview of Build Insights

    Build Insights is a build-level health dashboard used to monitor build stability, execution duration, and problematic tests. It allows users to determine if a build is safe to promote or requires further work. The workflow consists of two main views: the Build Insights Page (high-level metrics across all builds) and the Build Details Page (deep-dive analysis of a specific build).

  6. Overview of Kane CLI for AI Coding Agents

    Kane CLI allows AI coding agents to move beyond static code analysis by providing a real Chrome session they can drive using natural language. The integration consists of three parts: a skill file (markdown) that teaches the agent how to use the CLI, the kane-cli commands to execute browser tasks, and NDJSON output (including a .evidence pack with screenshots and logs) that the agent can reason about to diagnose failures.

  7. Overview of KaneAI Self-maintenance strategies

    Self-maintenance determines how KaneAI handles a test step that Auto-Heal cannot recover. While Auto-Heal attempts to fix element locators at runtime without changing the test, Self-maintenance strategies can re-author the test itself. These strategies are only available for 'New Experience' test cases running on Chrome.

    StrategyBehaviorEffect on TestCredits
    Off (Default)Replays recorded stepsRun ends if a step cannot be recoveredYes
    Adaptive HealReplays recorded stepsRe-authors the failing objective and all subsequent objectives upon failureYes
    Dynamic TestDoes not replay recorded stepsRe-authors every objective on every run regardless of failureYes
    Retry on FailureReplays recorded stepsRestarts the entire test from the beginning upon failure-

    Note: Only one strategy can be active at a time; selecting one clears the others.

  8. Overview of Custom Viewport Capture (CustomScroll) in SmartUI

    CustomScroll allows SmartUI to preserve the active scroll position of a page or specific elements at the moment a snapshot is taken. This ensures that the resulting screenshot reflects the exact visual state reached during the test, which is critical for nested scroll containers, PDF viewers, virtualized lists, and modals. It works by recording the scroll state during the trigger and restoring it before rendering the screenshot.

  9. Overview of Accessibility Automation workflow

    Accessibility Automation allows teams to integrate accessibility checks directly into their automated web test execution paths. Unlike DevTools, Web Scanner, or Test Scheduling, this feature is specifically designed for framework-driven execution. It includes grid-based execution, framework integrations, configurable accessibility settings (such as WCAG versions and best practices), and reporting via the Accessibility dashboard. It can optionally be orchestrated via CI/CD or HyperExecute.

  10. Overview of Audio Injection for Real Devices

    Audio Injection allows developers to simulate microphone input on real Android and iOS devices during a manual App Live session. This is used to test speech-to-text, voice commands, voice assistants, in-app recording, and KYC voice verification without using a physical microphone. It supports two modes: injecting pre-uploaded audio files or streaming Live Input from the system microphone. This feature is exclusively available on the Real Device Plus Live Plan and is not supported on emulators or simulators.

  11. Overview of AI Root Cause Analysis (AI RCA)

    AI Root Cause Analysis (AI RCA) in TestMu AI Analytics uses LLM technology to automatically analyze failed tests. It distinguishes between primary causes and cascading symptoms, provides actionable fix recommendations, generates chronological error timelines, and performs trend analysis across test executions.

  12. Overview of Appium Testing on TestMu AI

    Appium is an open-source automation framework for mobile applications (Android and iOS) that leverages the WebDriver protocol. TestMu AI supports Appium automation tests on its Real Device Cloud Platform, allowing developers to write tests in various programming languages and frameworks compatible with Appium and Selenium.