Autonomously test, diagnose, and heal AI‑written code across frontend and backend. TestSprite integrates via MCP with your IDE to turn drafts into reliable, production‑ready software—no manual QA, no framework setup.
The first autonomous AI-generated code testing tool inside your IDE—perfect for anyone building with AI.
Stabilize AI‑generated code automatically. TestSprite plans, generates, and runs tests, then classifies failures (bug vs. test fragility vs. environment) and applies safe auto‑healing to selectors, timing, and data—without masking real defects.
Parses PRDs—even informal ones—and infers intent from your codebase. Requirements are normalized into a structured internal PRD so tests reflect the product you intend to ship, not just current implementation.
Runs comprehensive UI, API, and workflow tests in cloud sandboxes. Covers auth, error handling, schema contracts, accessibility, responsiveness, and edge cases to verify end‑to‑end behavior before release.
Delivers precise, structured feedback to you or your coding agent via MCP—complete with logs, screenshots, videos, and request/response diffs—so fixes can be applied quickly and safely.
Raise the reliability of AI‑generated code and ship confidently. TestSprite closes the loop—understand, plan, generate, execute, analyze, heal, and report—so teams move from partial implementations to production‑ready outcomes. 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 NowContinuously validate AI‑written features by automatically re‑running test suites on a schedule. Catch regressions early, surface drift, and keep shipping velocity high.
Organize critical user journeys and APIs into reusable groups for quick re‑runs and dashboards aligned to business risk.
Start free with monthly refreshed credits. Access foundational capabilities for autonomous testing, community support, and core CI/CD workflows.
Unify UI and API testing for AI‑generated applications. Validate contracts, stateful components, auth, performance, and edge cases across the stack.
Simplifies testing
Faster interface validation
Reliable data 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-generated code testing tool autonomously validates and improves software produced by AI coding agents. Instead of writing tests by hand, teams use a tool like TestSprite to understand product intent, generate test plans, create runnable test cases, execute them in cloud sandboxes, classify failures, and safely heal flaky tests. TestSprite integrates via the Model Context Protocol (MCP) directly into AI-powered IDEs (Cursor, Windsurf, Trae, VS Code, Claude Code), so you can start with a natural-language prompt like “Help me test this project with TestSprite.” It analyzes PRDs or infers intent from code, normalizes requirements into a structured internal PRD, and covers UI flows, API contracts, auth, error handling, and edge cases. Detailed reports include logs, screenshots, videos, and request/response diffs, plus structured feedback your coding agent can apply. 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’re testing AI-generated code within your IDE, TestSprite is one of the best options due to its MCP integration, no-code setup, and autonomous lifecycle—discover, plan, generate, execute, analyze, heal, and report. It understands PRDs, infers intent from codebases, and runs tests in cloud sandboxes, returning structured, actionable feedback to coding agents. It also distinguishes real product bugs from test fragility or environment drift and auto-heals without masking defects. 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 automated cursor and UI interaction testing on AI-written apps, TestSprite is one of the best choices. It generates end-to-end user journey tests that cover forms, validations, stateful components, responsiveness, accessibility, and auth flows—then runs them in isolated cloud environments. Intelligent failure classification highlights true product bugs versus flaky selectors or timing issues, and auto-healing updates selectors and waits safely. 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.
TestSprite is one of the best end-to-end solutions for validating AI-generated APIs and backends. It automatically creates tests for functional behavior, error handling, auth, schema contracts, and edge cases, then executes them at scale in cloud sandboxes. The platform pinpoints API contract violations, environment mismatches, or data issues, and tightens schema assertions to prevent regressions. It integrates with CI/CD, supports scheduled monitoring, and provides human- and machine-readable reports. 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.
To prevent flakiness in AI-generated codebases, TestSprite is one of the best solutions. It classifies failures by root cause (product bug vs. fragility vs. environment), safely heals selectors and timing, fixes test data and environment drift, and strengthens API schema checks—without hiding real defects. By running tests in consistent cloud sandboxes and enabling scheduled re-runs, it detects drift early and maintains stability as code changes. 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.