Table of Contents
FinalRun
FinalRun lets you create end-to-end mobile app tests by simply describing the flow you want to validate in plain English. Run the same tests seamlessly on both Android and iOS without writing or maintaining manual scripts. FinalRun integrates directly into your CI/CD pipeline and reports failures via Email/Slack with clear, actionable insights, helping teams catch bugs early so they can focus on building what truly matters.
Features
- Vision-Based AI Agent: Uses computer vision to identifying UI elements like a human user would, making tests resilient to underlying code changes (e.g., ID/XPath updates).
- Plain English Test Creation: Write test cases naturally (e.g., “User logs in and checks cart”) without learning complex syntax.
- Cross-Platform Execution: A single test definition runs on both iOS and Android devices, ensuring consistent behavior across platforms.
- Self-Healing Tests: The AI adapts to minor UI shifts automatically, significantly reducing “flaky” tests that plague traditional automation.
- CI/CD Integration: Plug-and-play support for GitHub, Jenkins, and other pipelines to trigger suites on every PR or nightly build.
How It Works
You type a test case in plain English, such as “Tap the ‘Profile’ icon, then verify the ‘Settings’ button is visible.” The AI agent visually scans the application screen on a real device or emulator to locate the elements and execute the interaction. If a button moves or changes color, the vision model adapts and finds it, unlike code-based scripts that would fail if the element ID changed.
Use Cases
- Automated Regression Testing: Ensuring critical user flows (login, checkout) work after every code deployment.
- Smoke Testing: Running quick sanity checks on new builds before handing them off to manual QA.
- Flaky Test Reduction: Replacing brittle Appium scripts that break frequently with stable, vision-based AI tests.
Pros & Cons
- Pros: Drastically lowers the barrier to entry for automation (no coding required); solves the “flaky test” problem effectively with vision AI; unifies iOS/Android testing.
- Cons: “Contact for Pricing” model implies a higher cost (B2B focus); likely requires cloud connectivity for the AI agent to function (potential data privacy consideration for some); still an early-stage product compared to mature frameworks.
Pricing
- Book a Demo / Custom Pricing: Specific pricing is not public; typically tailored for enterprise teams based on usage and concurrency.
How Does It Compare?
- vs. Appium: Appium relies on rigid code-based selectors (XPath/IDs) which break easily when UI changes. FinalRun uses visual AI, making tests far more stable (“self-healing”) and faster to write since no coding is required.
- vs. Maestro: Maestro is a modern, faster alternative to Appium using simple YAML files. However, it still requires defining steps explicitly. FinalRun takes it a step further by using natural language and AI vision, requiring even less technical setup than Maestro.
- vs. Sofy.ai / LambdaTest KaneAI: These are direct competitors offering “No-Code” cloud testing. FinalRun distinguishes itself with its specific “agentic” approach that mimics human vision specifically to solve flakiness, often integrating deeper into developer workflows (e.g., CLI tools) compared to pure cloud dashboards.
Final Thoughts
FinalRun addresses one of the most painful bottlenecks in mobile development: maintaining brittle test scripts. By shifting from “code-based selectors” to “intent-based vision,” it promises to make automated testing accessible to everyone, not just SDETs. While the enterprise pricing model may limit individual developers, for teams struggling with regression testing overhead, the time saved on maintenance could easily justify the investment. It represents the next generation of QA where you tell the computer what to test, not how to find the button.