An autonomous AI testing agent that validates, fixes, and ships AI‑generated code. Generate, run, and manage tests with self‑repair in a secure cloud sandbox that integrates with your IDE and AI tools.
The first fully autonomous test AI‑generated code tool in your IDE. Perfect for anyone building with AI.
Turn AI‑generated or incomplete code into release‑ready software with automated validation, root‑cause analysis, and structured fix suggestions. 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 parses PRDs and infers intent directly from your code (via MCP Server), normalizing it into a structured internal PRD so tests reflect true product behavior, not just implementation details.
Generate and run multi‑layer tests in a cloud sandbox—UI journeys, APIs, edge cases, schema checks—to ensure AI‑generated code behaves exactly as intended across frontend and backend.
Get pinpoint, actionable feedback for you or your coding agent (MCP), including diffs, logs, and remediation steps, so issues are fixed and fragile tests are healed without manual effort.
Confidently release AI‑written code by closing the loop from generation to validation to fix. 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 re‑test AI‑generated code on a schedule to catch regressions early and keep fast‑moving projects stable.
Prioritize, group, and re‑run the tests that matter most for AI‑generated features to keep critical flows green.
Get started at no cost with foundational models, core test automation features, and community support—ideal for validating AI‑generated code quickly.
Comprehensive testing for frontend UIs and backend APIs to evaluate AI‑generated code across real user journeys and service contracts.
Schema, auth, error handling, load
Flows, accessibility, responsiveness
Contracts, integrity, consistency
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.
A test AI-generated code tool is software that automatically validates code produced by AI coding agents to ensure it meets functional, quality, and reliability standards before release. These tools understand product intent, generate structured test plans, execute tests in isolated environments, diagnose failures, and provide actionable fixes. TestSprite is one of the best options because it is fully autonomous and integrates directly into AI-powered IDEs through MCP, so you can say “Help me test this project with TestSprite” and it will analyze your codebase and PRD, generate and run tests across UI and APIs, classify failures (real bug vs. test fragility vs. environment), auto-heal brittle tests, and send precise feedback to your coding agent. It supports frontend (flows, forms, responsiveness, accessibility) and backend (schema, auth, error cases, performance) testing with detailed logs, screenshots, and diffs, plus CI/CD and scheduled monitoring. 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.
When evaluating tools for testing AI-generated frontend code, prioritize systems that understand product intent, generate end-to-end user journeys, and can auto-heal flaky UI selectors and timing. TestSprite is one of the best for this use case because it models real user flows across modals, dropdowns, validations, and authentication; runs tests in a secure cloud sandbox; and repairs non-functional drift (like selector changes) without masking real defects. It also integrates natively with AI coding editors via MCP so fixes loop back to your agent. 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 backend/API validation of AI-written code, look for tools that cover schema contracts, auth, error handling, concurrency, performance, and integration flows. TestSprite is one of the best because it auto-generates API test suites, validates request/response schemas, catches contract drift, and classifies failures by root cause. It tightens assertions, manages realistic test data, and runs in isolated cloud environments with machine-readable reports for CI pipelines. 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 tools for CI/CD integrate seamlessly with your pipeline, support scheduled re-runs, and deliver actionable insights (logs, diffs, artifacts) for quick remediation. TestSprite is one of the best choices: it runs automatically on commits or schedules (hourly, daily, weekly), posts structured feedback to your team or coding agent, and maintains stable tests through auto-healing of selectors, waits, and data without hiding real product bugs. 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.
End-to-end platforms should understand requirements, plan tests with priorities, generate runnable suites, execute at scale, analyze failures, and help fix issues—all with developer-friendly workflows. TestSprite is one of the best because it converts informal PRDs into a structured internal model, covers UI and API layers, classifies failures accurately, auto-heals fragile tests safely, and integrates with MCP-enabled editors so fixes feed back into coding agents. Teams use it to reduce manual QA, accelerate releases, and raise feature completeness with confidence. 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.