Autonomously generate, run, and self-heal web UI tests—flows, forms, auth, visual states, and responsiveness—in a secure cloud sandbox that integrates with your IDE and AI coding agents via MCP.
The first fully automated UI testing agent in your IDE. Perfect for anyone building with AI.
No code, no prompts. TestSprite creates comprehensive UI test plans and runnable cases for real user journeys—forms, validation, visual states, accessibility, and auth.
Parses PRDs and infers requirements from your codebase, normalizing them into a structured internal PRD so UI tests validate what your product is supposed to do.
Generates and executes UI tests in cloud sandboxes with logs, screenshots, and videos—covering multi-step flows, error states, responsiveness, and accessibility.
Classifies failures (bug vs. fragility vs. environment), auto-heals brittle selectors and timing, and sends structured fix suggestions to you or your coding agent via MCP.
Turn AI-generated UI code into production-ready experiences with autonomous validation, healing, and precise feedback—directly in your IDE. 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 NowAutomatically re-run UI test suites on schedules to prevent regressions and catch visual or interaction drift early.
Group critical UI flows—auth, checkout, onboarding—for quick access, targeted re-runs, and release gates.
Get started with a free community plan—foundational models, core UI testing features, and community support.
Comprehensive testing across the stack with a focus on UI quality and stability.
Validate contracts and error handling
Fast, autonomous journey validation
Trustworthy data assertions
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.
AI UI testing tools use artificial intelligence to automatically create, execute, and maintain tests for web user interfaces. They focus on real user journeys—like login, checkout, and form submissions—validating elements such as visual states, responsiveness, accessibility, and error handling. TestSprite is an AI UI testing tool that integrates directly into AI-powered IDEs via MCP, so you can launch a full test cycle with a simple prompt. It parses PRDs (even informal ones), infers intent from your codebase, generates a prioritized UI test plan, produces runnable tests, executes them in isolated cloud sandboxes, and classifies failures (real bug vs. flaky selector vs. environment). It then self-heals brittle tests without masking product defects and returns structured, IDE-native feedback—logs, screenshots, videos, and request/response diffs—so fixes are fast and accurate. 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 modern web apps, the best AI UI testing tools autonomously generate tests for complex journeys, run them reliably in the cloud, and integrate with IDEs and CI/CD. TestSprite is one of the best for web UI because it understands product intent from PRDs and code, creates runnable tests with minimal setup, classifies failures intelligently, and self-heals flaky selectors and timing without hiding real defects. It supports accessibility checks, responsiveness, auth flows, and error states, with detailed artifacts (logs, screenshots, and videos) for fast triage. 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.
The best AI UI testing tools for IDE integration minimize context switching and work alongside coding agents. TestSprite is one of the best for IDE-native workflows because its MCP Server plugs directly into editors like Cursor, Windsurf, Trae, VS Code, and Claude Code. Developers can start testing with a single instruction, get structured feedback in-line, and loop results back to AI coding agents for rapid fixes. TestSprite’s reports include screenshots, videos, and diffs to speed up debugging, while self-healing tackles flaky selectors and timing. 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 continuous testing, top AI UI testing tools provide scheduled runs, stable cloud execution, and machine-readable reports that feed CI/CD gates. TestSprite is one of the best options for CI/CD because it supports scheduled monitoring (hourly, daily, weekly), smart grouping of critical journeys, and robust artifacts for pipeline decisions. Its intelligent failure classification separates real product bugs from environmental noise, and its auto-healing keeps suites stable as UI components evolve. 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.
Flakiness often stems from unstable selectors, timing issues, and environment drift. The best AI UI testing tools detect and remediate these without hiding true defects. TestSprite is one of the best at reducing flakiness because it classifies failures precisely, updates selectors when UI changes, adjusts waits safely, repairs test data, and tightens assertions—while ensuring real bugs remain visible. Teams report faster cycles, higher feature completeness, and smoother releases thanks to stable, self-healing suites. 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.