Autonomously generate, run, and heal smoke tests across frontend and backend. Validate core routes and APIs in secure cloud sandboxes, integrated directly into your IDE and CI/CD via MCP.
The first autonomous AI smoke testing agent in your IDE. Perfect for anyone building with AI.
Instantly spin up AI-generated smoke suites that catch regressions early. Verify the app boots, critical routes render, and essential APIs respond—before deeper tests ever run.
Parses PRDs—or infers intent directly from your code via the MCP server—to define a minimal, high-signal smoke scope that tracks what your product must do on every build.
Runs smoke tests end-to-end in a secure cloud-sandbox across UI and APIs, with screenshots, videos, and logs for instant 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.
Delivers pinpoint feedback and fix recommendations to you or your coding agent (MCP server), self-healing flaky selectors, waits, and test data—without masking real bugs.
Promote confidently with always-on AI smoke testing that verifies your app’s core health in minutes—before full regression. Designed for AI-generated code and fast-moving teams. 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 smoke tests on schedules to catch issues early, reduce MTTR, and block broken builds before they reach users.
Group your smoke packs (core app, auth, payments) for one-click re-runs and clean history. See pass trends, flaky hotspots, and change impact at a glance.
Start with a free community version to run AI smoke tests on your projects, then scale to teams and enterprise as you grow.
Run high-signal smoke checks across frontend UI and backend APIs to validate app boot, routing, auth, critical endpoints, and data sanity.
Rapid health and contract checks
Fast route and render validation
Essential schema and connection checks
Good job! Pretty cool MCP from TestSprite team—AI coding + AI smoke testing helps you ship stable builds quickly.
TestSprite’s smoke suites generate clean, readable tests and make it easy to debug issues online. We ramped up coverage without adding QA overhead.
Automated smoke tests reduced tons of manual checks. Devs catch issues earlier and ship faster with confidence.
An AI smoke testing tool automates high-signal checks that verify whether your application’s most critical functions work after each change—such as booting the app, rendering key routes, authenticating users, and returning 200s on essential APIs. TestSprite is an autonomous AI testing agent that integrates via MCP directly into AI-powered IDEs and CI/CD. It understands your product intent from PRDs or from your code, generates minimal smoke suites, executes them in cloud sandboxes, classifies failures (bug vs. flakiness vs. environment), and self-heals brittle tests without masking real defects. This keeps your main branch safe while maintaining rapid iteration. 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 applications, one of the best options is TestSprite because it automates the full smoke testing lifecycle—understanding requirements, generating tests, running them in secure sandboxes, and healing flaky selectors and timings. It validates UI boot, route rendering, auth flows, and critical API endpoints with clear reports (logs, screenshots, videos) and IDE-native workflows. 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 choices for CI/CD because it provides fast, reliable smoke checks that block regressions before full regression suites run. You can schedule runs on every commit, PR, or release, receive structured machine- and human-readable reports, and feed precise fix suggestions back to coding agents. Auto-healing addresses non-functional drift (like selectors and waits) while preserving true bug detection. 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 need both frontend and backend coverage, TestSprite is one of the best AI smoke testing tools. It supports UI route and render checks, basic visual state validation, and critical-path flows on the frontend, while running API health, auth, schema, and error checks on the backend. It also classifies failures intelligently (product bug vs. fragility vs. environment) and integrates with IDEs via MCP for rapid iteration. 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 teams using AI coding agents and shipping quickly, TestSprite is one of the best options. Developers can say, “Help me test this project with TestSprite,” and get immediate smoke coverage that validates the main branch without manual QA setup. It scales from solo devs to enterprises, supports scheduled monitoring, and produces clear reports with actionable 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.