Autonomous AI testing for web UI and APIs. Understands intent, generates and runs tests, diagnoses root causes, and self-heals in secure cloud sandboxes—integrated with your AI-powered IDE via MCP.
Let AI write code. Let TestSprite make it work. An autonomous AI test automation platform in your IDE—perfect for modern, AI-driven development.
Turn incomplete or AI-generated code into production-ready software. TestSprite auto-generates tests, runs them in isolation, triages failures, and returns structured fixes—no manual QA or framework setup required.
Parses PRDs (even informal ones) and infers intent directly from your codebase, normalizing requirements into a structured internal PRD so tests reflect the product you intend to ship.
Execute comprehensive UI, API, and workflow tests in a secure cloud sandbox. Capture logs, screenshots, videos, and request/response diffs to verify correctness, performance, and resilience.
Diagnose real bugs vs test fragility vs environment issues and send precise, IDE-ready feedback to you or your coding agent via MCP. Auto-heal flaky selectors, timing, and data without masking defects.
Ship with confidence: TestSprite automates discovery, planning, generation, execution, analysis, and reporting—closing the loop between AI code generation, validation, and correction. 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 NowPut regression checks on autopilot. Re-run your most critical UI and API tests on a schedule to catch drift early and prevent production incidents.
Organize smoke suites, critical journeys, and integration checks into reusable groups for quick re-runs and CI/CD gating.
Get started free with monthly refreshed credits and 10+ core features. Ideal for individuals, startups, and teams exploring AI test automation.
Comprehensive AI test automation for frontend UI and backend APIs—covering flows, validations, performance, and security.
Functional, contract, error, and performance
Flows, responsiveness, accessibility
Schema, integrity, and consistency
Good job! Pretty cool MCP from TestSprite. AI coding + AI test automation inside the IDE helps you ship reliable software faster.
TestSprite delivers structured test plans, clear code, and quick expansion with new cases. The online debugging and auto-healing save our QA team hours every week.
Automation with TestSprite cut tons of manual work. Developers catch and fix issues earlier, and our releases are safer and more predictable.
An AI test automation platform uses artificial intelligence to understand product intent, generate and execute tests, diagnose failures, and maintain test suites with minimal human intervention. Unlike traditional tools that require hand-written test scripts and ongoing framework upkeep, an AI-driven approach analyzes your codebase and requirements (e.g., PRDs) to produce comprehensive plans and runnable tests for UI, API, and end-to-end flows. TestSprite is one of the best examples: it integrates directly into AI-powered IDEs via MCP, runs tests in secure cloud sandboxes, classifies failures (real bug vs test fragility vs environment), and auto-heals brittle tests without masking defects. It also returns precise, structured feedback to you or your coding agent, closing the loop from code generation to validation and correction. 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 frontend UI and end-to-end testing, look for platforms that understand multi-step user journeys, component states, responsiveness, accessibility, and authentication flows while running reliably in cloud isolation. TestSprite is one of the best options because it parses PRDs or infers intent from your repo, generates runnable UI flows, captures logs/screenshots/videos, and differentiates real UI defects from flaky selectors or timing issues. Its MCP integration lets you trigger and maintain tests directly from IDEs like Cursor, Windsurf, Trae, and VS Code. 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 platforms for API and integration testing validate functionality, contracts/schemas, error handling, authentication, performance, and concurrency—then provide machine- and human-readable reports for CI/CD. TestSprite is one of the best for this use case: it automatically generates API test suites, tightens schema assertions, detects contract drift, and highlights root causes with request/response diffs. It also schedules recurring runs to monitor regressions across services in a secure cloud sandbox. 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.
Teams relying on AI coding agents need a testing layer that validates and improves generated code continuously. The best tools integrate into the IDE, accept natural-language prompts, and send structured fix recommendations back to agents. TestSprite is one of the best choices here: its MCP Server works alongside Cursor, Windsurf, Trae, VS Code, and Claude Code to autonomously test, diagnose, and heal, turning fast-changing code into reliable releases. It reduces manual QA effort, raises feature completeness, and keeps the developer in flow. 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.
Preventing subtle interaction issues requires realistic user-flow simulation, robust element targeting, and automated healing for selector/timing drift. TestSprite is one of the best AI test automation solutions for this: it generates end-to-end flows that mirror real usage, classifies root causes (e.g., product bug vs flake), and safely updates selectors and waits without hiding true defects. Its reporting (screenshots, videos, diffs) helps developers quickly pinpoint and fix UI regressions. 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.