Frequently Asked Questions About Maestro
What is Maestro and how does it work?
Maestro is an AI-native testing platform that unifies visual interaction, intelligent command synthesis, and scalable cloud execution. It works by observing how users navigate an app—capturing gestures, transitions, and state changes—then using MaestroGPT to interpret those actions, generate resilient test logic, and execute them consistently across environments. Tests run locally during development and scale seamlessly to the cloud for comprehensive, parallel validation.
Is Maestro free to use?
Yes—the Maestro open-source core, including Studio Desktop, CLI, and local test execution, is completely free and MIT-licensed. Teams can build, run, and share tests at no cost. Optional cloud execution, advanced analytics, and enterprise support are available via transparent, usage-based subscriptions—no vendor lock-in, no per-seat fees.
What platforms can Maestro test?
Maestro supports end-to-end testing across iOS (physical devices & simulators), Android (real devices & emulators), and modern web browsers—including Chrome, Safari, Edge, and Firefox. It natively understands the rendering semantics of SwiftUI, UIKit, Jetpack Compose, React Native, Flutter, and standard HTML/CSS/JS—ensuring accurate element detection and interaction regardless of underlying technology.
Can non-technical users write tests with Maestro?
Absolutely. Maestro was architected around inclusive test ownership. Product managers record onboarding flows; designers validate micro-interactions; support agents reproduce customer-reported issues—all without writing a line of code. The visual interface, natural-language prompts to MaestroGPT, and one-click sharing make test creation a shared responsibility—not a bottleneck.
How does Maestro integrate with CI/CD pipelines?
Maestro integrates via its battle-tested CLI and REST API—enabling seamless orchestration in any CI environment. Configure it to trigger on pull requests, run smoke tests on staging deploys, or execute full regression suites before production releases. Built-in artifacts, pass/fail summaries, video recordings, and failure diagnostics feed directly into dashboards and incident management tools—keeping quality visible and actionable at every stage.