Everything after

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. Once executed successfully, users can save and push it to automation, creating a reusable test case without writing any code.

Panto AI Automate lets users turn executed test flows into fully automated tests, eliminating repeated LLM-based manual execution. After a flow is executed in Panto Execute, it’s converted into a proprietary framework that can run on any language, OS, or device, scheduled automatically as configured. It’s also self-healing — when the app’s UI changes, Panto detects it, adapts steps, updates automation and notifies users.

The Panto AI Knowledge Base is a context store where users can provide detailed insights about their app. Over time, Panto builds memory, making test execution faster and smarter. Users can add context like “Language change options are under user profile” or “Checkout button is only enabled after all fields are filled.” This helps Panto AI 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.

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 and environments. Its self-healing automation adapts to UI changes, ensuring consistency, resilience, and trustworthiness over time.

No. Panto AI’s self-healing automation automatically detects UI changes and adapts test flows accordingly. When the UI is updated, Panto AI re-runs the steps via Panto Execute, updates the automation, and notifies you of any changes — eliminating manual script maintenance.

No, Panto AI doesn’t rely solely on element names. It uses visual recognition, structural analysis, and contextual understanding to identify and interact with UI elements. This allows it to handle dynamic UIs, renamed elements, or layout changes without breaking tests.

No. Panto AI doesn’t rely on tools like Playwright, Appium, or Selenium. It’s built on a proprietary automation framework designed to be language, OS, device, and LLM-agnostic — with self-healing capabilities that adapt to UI changes automatically.

Yes. Panto AI integrates with CI/CD pipelines to automatically run tests during deployment. It also supports triggers via pull requests, Slack, webhooks, and API calls. Custom trigger setups can be supported as needed.

Panto AI provides real-time alerts via Slack and CI/CD integrations. It also features a centralized dashboard where users can analyze alerts, identify root causes, and take corrective actions instantly.

To get started, reach out to hello@getopanto.ai. The Panto team will help set up access, walk you through onboarding, and tailor the platform to your 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.