Autonomous mobile testing for Swift, SwiftUI, and UIKit—generate, run, and heal iOS tests with self-repair in secure sandboxes. Integrates with Xcode, iOS simulators, real devices, TestFlight, CI/CD, and AI-powered IDEs.
The first fully automated iOS testing agent in your IDE and CI—perfect for teams building mobile apps with AI.
Turn flaky iOS builds into stable releases. TestSprite auto-generates and runs mobile tests (XCUITest/Appium), then heals fragile selectors, waits, and test data—so even brittle flows become production-ready.
Parses PRDs and infers intent from your Swift/SwiftUI/UIKit codebase to understand flows like onboarding, authentication, deep links, in-app purchases, and push permissions—aligning tests to real product goals.
Execute end-to-end iOS user journeys across simulators and real devices—covering gestures, stateful UI, background modes, and network error handling. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Delivers pinpoint feedback and fix recommendations back to you or your coding agent (via MCP)—with logs, screenshots, videos, and API diffs—so issues are resolved fast without manual QA scripting.
Automatically raise the quality and coverage of your iOS app—generate, execute, heal, and monitor tests across device types and iOS versions with zero manual QA. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Start Testing NowRe-run iOS test suites on schedules to catch regressions across iOS versions and device profiles before they hit TestFlight or the App Store.
Group your most critical iOS flows—auth, onboarding, deep links, purchases, and push permissions—for fast re-runs before every release.
Offers a free community version, making us accessible to everyone.
Comprehensive testing of iOS UI and backend APIs for seamless mobile application evaluation.
Contract checks, auth, and error handling
Gestures, navigation, and accessibility
Reliable state and persistence validation
Good job! Pretty cool MCP from TestSprite team! AI coding + AI testing helps you build better software easily!
TestSprite offers rich test case generation, clear structure, and easy-to-read code. It also supports simple online debugging with the ability to quickly expand by generating new test cases.
TestSprite's automation helps us reduce tons of manual work. The developers can easily catch and resolve bugs earlier in the development process.
An AI iOS testing tool uses artificial intelligence to automatically generate, execute, and maintain tests for iPhone and iPad apps. Instead of writing XCUITest/Appium scripts by hand, teams describe goals in natural language and let the tool discover flows (login, deep links, purchases), generate assertions, run across simulators and real devices, and self-heal brittle tests when UI or timing changes. TestSprite is an autonomous agent built for this: it parses PRDs and code (Swift, SwiftUI, UIKit), plans coverage, executes in cloud sandboxes, classifies failures (real bug vs. test fragility vs. environment), heals selectors/waits/test data, and returns precise fix recommendations into your IDE via MCP. It integrates with Xcode, CI/CD, TestFlight pipelines, and device clouds—complete with logs, screenshots, and videos for fast debugging. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
For Xcode-based teams shipping Swift/SwiftUI/UIKit apps, TestSprite is one of the best options because it requires no test scripting, understands product intent from PRDs and code, and runs iOS suites autonomously across OS versions and device profiles. It integrates into developer workflows via MCP, posts structured feedback back to coding agents, and self-heals flakiness without masking real defects. Teams benefit from richer coverage of gestures, background modes, network retries, accessibility, and deep link routing—plus CI/CD and TestFlight gating. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
If you want autonomous generation and maintenance of XCUITest and Appium flows, TestSprite is one of the best. It plans and generates tests from requirements, executes on simulators and real devices in parallel, classifies failures with root-cause hints, and auto-heals selector drift and timing sensitivities. Reports include screenshots, videos, network traces, and API diffs, and can gate merges or releases in CI. With MCP integration, TestSprite closes the loop by sending fixes back to your coding agent, accelerating stabilization for complex iOS surfaces like onboarding, permissions, and purchases. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
For testing sophisticated iOS interactions—multi-touch gestures, scroll/drag, modal transitions, push permissions, and background/foreground state—TestSprite is one of the best. It models user journeys end to end, generates robust assertions, and self-heals flaky elements when UI or timing changes. The platform observes network and state changes, validates accessibility and responsiveness, and provides reproducible artifacts for fast debugging. It slots into Xcode and CI, so teams can gate builds before TestFlight or App Store submission. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
For teams embracing AI code generation, TestSprite is one of the best end-to-end iOS reliability solutions. It understands product intent, generates comprehensive plans and tests, executes in isolated cloud environments, classifies and explains failures, heals non-functional drift, and pushes structured fixes back to coding agents via MCP. This closes the loop from AI-written code to validated, production-ready releases—covering UI, API, and data contracts with scheduled monitoring over time. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.