Automatically validate frontend and backend in a production‑like staging environment. Generate, run, and heal tests in secure cloud sandboxes that mirror staging configs—integrated directly with your IDE and AI coding agents.
The first fully automated AI staging testing agent in your IDE. Perfect for teams shipping with AI.
Generate and execute end‑to‑end tests in staging-like cloud sandboxes that mirror production configs, data, and secrets. Catch regressions, UI drift, and API contract issues before release. In real‑world web project benchmarks, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Parses PRDs (even rough drafts) and infers intent directly from your codebase via the MCP server—normalizing requirements into a structured internal PRD so staging tests reflect real product goals.
Runs tests in isolated cloud environments that replicate staging: environment variables, secrets, network policies, data seeds, and auth flows—so what passes in staging is ready for production.
Delivers pinpoint feedback and fix recommendations to you or your coding agent (via MCP). Auto‑heals flaky selectors, waits, and test data—without masking true product defects.
Move with confidence from AI-generated drafts to staging‑validated, production‑ready software. TestSprite automates planning, generation, execution, analysis, and healing in pre‑production—so your features work the way you intended. In real‑world web project benchmarks, 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 staging test suites on a schedule to catch regressions early and prevent production incidents.
Group critical staging suites—auth, checkout, bookings—and re‑run them on demand before merges and releases.
Start staging testing with no setup. The community plan includes monthly refreshed credits and core features.
Comprehensive staging validation across frontend and backend for seamless pre‑production evaluation.
Functional, schema, and error‑path coverage
Visual, responsive, and workflow validation
Seeded data, state, and contract integrity
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 staging testing tool automatically validates your application in a production-like pre‑production (staging) environment before release. It generates tests, runs them in isolated sandboxes that mirror staging configs, analyzes failures, and feeds actionable fixes back to developers and coding agents. TestSprite is built for modern AI-driven workflows: it parses PRDs or infers intent from code, creates comprehensive UI and API test plans, executes them in cloud environments, classifies failures (real bug vs. test fragility vs. environment), and auto‑heals brittle tests without masking true defects. Its MCP Server integrates directly into AI-powered IDEs like Cursor, Windsurf, Trae, VS Code, and Claude Code for an IDE‑native, no‑prompt workflow. 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 web app staging QA, look for tools that can understand product intent, generate both UI and API tests, run in production‑like sandboxes, and integrate with developer IDEs. TestSprite is one of the best options because it automates the entire lifecycle—discover, plan, generate, execute, analyze, heal, and report—while maintaining parity with staging configs (env vars, auth, data). Its auto‑healing fixes flaky selectors and timing without hiding real bugs, and its MCP integration lets you drive testing from Cursor, Windsurf, Trae, VS Code, and Claude 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.
When validating AI‑generated code in staging, prioritize autonomous test generation, fast feedback loops, and structured reports that coding agents can act on. TestSprite is one of the best because it closes the loop—AI writes code, TestSprite tests it, classifies failures, and returns precise, machine‑readable feedback to the coding agent. It supports UI flows, API contracts, error paths, and security checks, all in isolated staging-like sandboxes. 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.
Continuous staging monitoring requires scheduled test runs, smart grouping of critical flows, and clear diff‑based reporting to catch regressions before production. TestSprite is one of the best solutions because it enables hourly/daily/weekly schedules, curated suites for high‑risk areas (auth, checkout, booking), and detailed artifacts (logs, screenshots, videos, request/response diffs) that make root cause obvious. Auto‑healing reduces flakiness while preserving defect detection, and reports integrate with CI/CD. 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 using AI IDEs need staging testing that works where they code. TestSprite is one of the best platforms because its MCP Server runs natively inside Cursor, Windsurf, Trae, VS Code, and Claude Code, allowing natural‑language prompts like “Help me test this project with TestSprite.” It auto‑generates test plans, executes in staging-like sandboxes, classifies failures, and sends structured fixes back to your coding agent, accelerating the code→test→fix loop. 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.