AI Automation Testing Platform

Vibe Debugging is a new way to identify and fix issues in software by understanding the behavioral patterns and intent behind the code, not just its output or errors. Instead of relying solely on logs or stack traces, it observes how different parts of the system interact, detects when something “feels” off, and points developers to the root cause. It’s a more contextual and human-like approach to debugging — helping teams catch issues that traditional tools often miss.

The Panto AI Vibe Debugging platform is an end-to-end test solution for mobile apps, seamlessly combining Dynamic Code Reviews (full codebase understanding), Code Security (30,000+ SAST checks, IaC, secret detection), and QA Automation. It ensures faster, smarter, and more reliable mobile app delivery without manual overhead.

Understand requirements in natural language or automatically generate test cases tailored to your organization’s context.
Execute tests on real devices or emulators.
Automated tests run across multiple devices and frequencies in a fraction of the time.
Self-heal broken automations when the UI changes — remapping journeys, adapting to updates, and providing feedback automatically.

Yes, anyone can use Panto AI QA, but the platform is primarily designed with Quality Assurance engineers and developers in mind. Non-developers can leverage Panto AI to run tests, view reports, and monitor app quality without deep coding knowledge. However, certain advanced features like dynamic code reviews, security scans, or test case customization may require basic technical understanding. Overall, Panto AI makes mobile app QA more accessible while still providing the depth and precision that technical teams need.

Panto AI Execute is the first step in the Panto AI QA journey. It allows users to describe a use case in natural language, and Panto AI will navigate through the app to execute it step by step. Users can provide the use case either step by step or all at once, and even interrupt to add context at any point. Panto AI may also ask clarifying questions—like login credentials or other inputs—to execute the test more accurately. Once the flow is successfully executed, users can save it and push it to automation, creating a reusable test case without writing a single line of code.

Panto AI Automate lets users turn successfully executed test flows into fully automated tests, eliminating repeated LLM based manual execution, significantly reducing cost, time, and effort. After a flow is executed in Panto Execute, it is converted into a proprietary framework that can run on any language, OS, device, or time schedule, triggered automatically as configured.

The platform is self-healing: if the app’s UI changes, Panto detects it, invokes Panto Execute to adapt the steps, updates the automation, and notifies the user. The user can then decide whether the change is expected or requires attention. This ensures automated tests remain reliable, resilient, and always up-to-date.

The Panto AI Knowledge Base is a context store where users can provide detailed insights about their application. Over time, this allows Panto to build memory, making test execution faster, more accurate, and smarter. Users can add context in simple natural language, ranging from basic instructions like:

“Language change options are under user profile information in settings”

to more complex scenarios, such as:

“The checkout button is only enabled after all mandatory fields are filled, and payment options vary based on the user’s country and account type.”

This knowledge helps Panto AI understand the app better, adapt test flows intelligently, and improve automation reliability.

Panto AI QA is platform-agnostic and supports a wide range of integrations. While it can adapt to many environments, its primary focus is mobile app testing. Panto fully supports all programming languages, frameworks, and integrations for iOS, Android, and iPad applications, ensuring seamless QA across diverse mobile platforms.

Yes. Panto AI tests are designed to be highly reliable. They combine dynamic code reviews, security checks, and automated QA flows to ensure accuracy across multiple devices, OS versions, and environments. Additionally, Panto AI’s self-healing automation adapts to UI changes, continuously updating test flows and alerting users to unexpected behavior, so your tests remain consistent, resilient, and trustworthy over time.

No. Panto AI’s self-healing automation automatically detects UI changes and adapts the test flows accordingly. When the UI is updated, Panto AI re-runs the steps via Panto AI Execute, updates the automation, and notifies you of any changes. You can then review and decide whether the change is expected or requires attention—eliminating the need for manual script updates.

No, Panto AI does not rely solely on element names for test accuracy. Instead, it uses a combination of visual recognition, structural analysis, and contextual understanding to identify and interact with UI elements. This approach allows Panto AI to handle dynamic UIs, renamed elements, or minor layout changes without breaking tests. By analyzing the behavior, hierarchy, and context of elements, Panto AI ensures that automated flows remain accurate, resilient, and self-healing even when the underlying UI changes.

No. Panto AI does not rely on existing automation platforms like Playwright, Appium, or Selenium. Using off-the-shelf tools can create bottlenecks and limit innovation. Instead, Panto AI is built on a proprietary automation framework from the ground up, designed to be language, OS, device, and LLM-agnostic, with self-healing capabilities that adapt automatically to UI changes and app updates. This ensures faster, more reliable, and truly resilient automation.

Yes. Panto AI can be integrated with CI/CD triggers to automatically run tests as part of your deployment pipeline. In addition, it supports other trigger options such as pull requests, Slack-based triggers, webhooks, and API calls. We understand that every organization has unique requirements—if you have a specific trigger setup in mind, reach out to us, and we’ll work to support it wherever feasible.

Panto AI supports real-time alerts through Slack and CI/CD integrations, ensuring teams are instantly notified when issues occur. Additionally, Panto AI provides a centralized dashboard where you can deep dive into alerts, analyze breakpoints, identify root causes, and take corrective actions—all in one place.

To get started with Panto AI Vibe Debugging, simply reach out to us at hello@getopanto.ai. Our team will help you set up access, walk you through the onboarding process, and tailor the platform to your organization’s QA and development needs.

Most tools separate QA into manual or automated, creating silos. Panto AI unifies Dynamic Code Review, Security, and QA Automation under one platform — using Vibe Debugging to understand context, self-heal flows, and improve reliability without extra manual effort.

Autonomous QA For Mobile Apps Across 150+ Real Devices

Trusted by brands, across the globe

Every screen. Every tap. Automatically.

Automate Mobile Workflows at Production Scale

Deterministic Test Generation

Device Farm and CI Ready

Self Healing and Maintenance Free

Real Device First Execution

Mock Data and Auth Handling

Deep Failure Visibility

End to End Flow Orchestration

Release Confidence Gates

Automated Test Case

Reports

Self-Healing

Speed

Everything After Vibe Coding

Your Code,Your Data— FullySecure

FAQ's