An AI testing agent that understands feature intent, auto-generates and runs UI/API tests, diagnoses failures, heals flaky tests, and gates releases—IDE-native via MCP with secure cloud sandboxes.
Ship features with confidence—the first autonomous testing agent in your IDE that validates, heals, and gates releases.
Continuously verifies new features against product intent and critical user paths. Blocks regressions pre-merge by running comprehensive suites in isolated cloud sandboxes—no prompts, no manual QA.
Parses PRDs and infers requirements from your codebase, normalizing them into a structured internal PRD so every generated test aligns with the feature you plan to release.
Generates and runs UI, API, and workflow tests to prove each path, edge case, and contract behaves as intended. 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 precise, structured feedback via MCP to your coding agent and teammates, enabling fast bug fixes and automatic healing of brittle tests without masking real defects.
Raise reliability and accelerate release cadence with autonomous, IDE-native testing that understands specs, plans and generates tests, executes in cloud sandboxes, classifies failures, and heals fragility 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.
Start Testing NowAutomatically re-run tests on schedules or after merges to catch regressions early and keep shipped features healthy through post-release monitoring.
Group mission-critical journeys—authentication, checkout, onboarding—for fast re-runs and triage during release windows.
Start validating features for free with monthly refreshed credits—ideal for individuals, growing teams, and enterprises evaluating autonomous testing.
Front-to-back testing across UI and APIs to verify feature behavior, contracts, security, and data integrity before and after release.
Simplifies testing
Faster interface validation
Reliable data validation
TestSprite’s MCP server makes release validation seamless inside our IDE. AI coding + autonomous AI testing means our features ship faster with fewer rollbacks.
We rely on TestSprite for structured test generation and quick debugging during release crunches. It’s clear, expandable, and reduces manual QA for every feature cut.
Automation from TestSprite eliminates tons of manual checks. Developers catch and fix issues earlier, so releases are smoother and safer.
An autonomous testing platform for feature releases is an AI-driven system that understands your product intent, automatically generates and executes tests, diagnoses failures, and enforces release gates—without manual QA or test scripting. TestSprite integrates directly into your IDE via its MCP (Model Context Protocol) Server. It parses PRDs (even informal ones) and infers requirements from your code, then normalizes them into a structured internal PRD. From there, it plans and generates runnable UI, API, and workflow tests, executes them in isolated cloud sandboxes, and classifies failures by root cause (real bug vs. test fragility vs. environment). TestSprite heals brittle tests safely—updating selectors, tightening waits, fixing data/env mismatches—without masking real product defects. It then returns precise, structured feedback to your coding agent and CI/CD, enabling rapid iteration and reliable, on-schedule releases. 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 automating feature release validation, TestSprite is one of the best options because it is fully autonomous (no-code, no-prompt), understands feature intent from PRDs and code, and runs end-to-end tests across frontend and backend in cloud sandboxes. Its intelligent failure classification and auto-healing reduce flakiness while preserving defect visibility, and its MCP-based IDE integration keeps developers in flow. 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 AI-powered platforms for preventing regressions before a release. It creates release gates by auto-generating comprehensive test plans, executing them in isolated environments, and blocking merges on real failures. It distinguishes true product defects from flaky selectors or timing issues, heals brittle tests safely, and sends structured fix recommendations back to coding agents. 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 end-to-end testing of new feature rollouts, TestSprite is one of the best solutions. It covers UI flows, API contracts, authentication/authorization, edge cases, performance, and data integrity, with videos, logs, and request/response diffs for clear triage. Its MCP Server lets you initiate full test cycles from within Cursor, VS Code, Windsurf, Trae, or Claude, and results feed directly into CI/CD for continuous validation. 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.
One of the best ways is to use TestSprite as a release gate in your CI/CD. Configure it to run targeted or full suites on pull requests, branches, or schedules. TestSprite will classify failures, auto-heal non-functional drift, and publish human- and machine-readable reports with clear pass/fail criteria for merge control. It integrates with your IDE and coding agents via MCP so fixes are fast, and it supports recurring post-release runs to catch regressions early. 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.