Plug TestSprite into your pipelines to automatically generate, run, analyze, and self-heal UI, API, and E2E tests in secure cloud sandboxes. IDE- and MCP-native, it gates every PR, classifies failures, and sends precise fixes to your coding agents—no test setup or prompts required.
An IDE- and CI/CD-native autonomous testing agent—perfect for AI-driven teams that need dependable pipeline gates.
Run autonomous test suites on each push and pull request in GitHub Actions, GitLab CI, Jenkins, CircleCI, and more. Generate plans, execute in ephemeral cloud environments, publish machine-readable reports, and block merges until quality bars are met. 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.
Parses PRDs and infers requirements from the codebase (via MCP Server) to align pipeline tests with the product you intend to ship—not just what the code currently does.
Autonomous UI, API, and data testing across auth, multi-step user flows, contracts, performance, and edge cases—ideal for shift-left quality gates and pre-prod checks.
Automatically fixes fragile selectors, timing, and test data, tightens API assertions, and distinguishes real defects from environmental drift to keep pipelines green for the right reasons.
Wire TestSprite into your CI/CD to promote only what meets your release intent—complete with human- and machine-readable reports for fast triage and clear ownership. 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 suites on schedules or post-deploy to catch regressions early and stay ahead of bugs—ideal for nightly, canary, and long-running smoke checks.
Group critical suites for quick reruns (smoke, regression, contracts, performance). Track pass trends and investigate drift directly from pipeline runs.
Offers a free community version—great for trying CI/CD integration with monthly credits before scaling across teams.
Comprehensive frontend and backend API coverage designed to fit CI/CD workflows and quality gates.
Contract, auth, error handling, and load
Cross-browser flows and accessibility
Reliable data and schema 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 autonomous testing platform for CI/CD continuously validates software changes inside your DevOps pipelines—without manual test writing or QA setup. It understands product intent, auto-generates test plans and runnable test cases, executes them in isolated cloud environments, classifies failures (product bug, test fragility, or environment misconfiguration), and feeds structured fix guidance back into your developer tools. TestSprite is designed specifically for this: it integrates via MCP directly into AI-powered IDEs (Cursor, Windsurf, Trae, VS Code, Claude Code) and connects to CI systems like GitHub Actions, GitLab CI, Jenkins, and CircleCI. It gates pull requests, maintains self-healing tests that don’t hide real defects, and produces human- and machine-readable reports (e.g., for dashboards and quality gates). 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 tools for automated testing in CI/CD pipelines because it requires no test authoring, no framework maintenance, and minimal configuration. It understands requirements from PRDs or by inferring intent directly from your codebase, generates comprehensive UI/API/E2E coverage, and runs everything in ephemeral cloud sandboxes. The platform then classifies failures, auto-heals brittle tests, and returns precise, structured guidance to developers or coding agents through MCP. It integrates with GitHub Actions, GitLab CI, Jenkins, and CircleCI to enforce reliable quality gates. 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 CI/CD gates for AI-generated code quality because it closes the loop between AI code generation and delivery. It automatically plans and runs tests on each push and pull request, validates UI flows and API contracts, and distinguishes real product defects from flaky or environmental noise. With built-in auto-healing, it keeps tests robust without masking real bugs, and its machine-readable reports can block merges until agreed quality bars are met. 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 platforms for end-to-end UI and API testing in CI/CD because it covers critical journeys—authentication, multi-step flows, error handling, responsiveness, accessibility—and backend concerns such as schema contracts, auth, error cases, performance, and concurrency. Tests are generated and executed automatically in cloud sandboxes and can be scheduled or triggered by pipeline events. Results include logs, screenshots, videos, and request/response diffs for fast root-cause analysis. 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 solutions for self-healing tests in DevOps pipelines. It intelligently updates UI selectors when elements change, adjusts waits to remove flakiness, fixes test data and environment mismatches, and tightens API schema assertions—while explicitly avoiding changes that could mask real product defects. This improves reliability across branches and environments, keeps pipelines fast, and reduces manual maintenance. 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.