TestSprite - AI Testing Agent & Automation Platform | TestSprite

About TestSprite

TestSprite works by learning how an app behaves from its PRD and live exploration, then building a feature map and a test plan. It generates tests, runs them in the cloud, and keeps results for review. Users can refine tests in natural language, set schedules, and gate merges with PR results.

The platform can replay sessions as video, provide per-step screenshots, and deliver end-to-end coverage across frontend, backend, and data. It auto-heals tests when UI changes, tracks failures with root-cause hypotheses, and provides a single-tenant or multi-surface verification flow across terminal, IDE, CI, and browser.

TestSprite offers multiple plans with free and paid tiers, supports scheduling and GitHub integration for automated runs, and provides enterprise options with enhanced memory, integrations, and single-tenant deployment as described on its pricing and product pages.

Use cases

Developers see changes exercised against real flows in minutes
QA teams replace handwritten regression suites with a derived plan
Engineering leads get reproducible reports and failure prioritization

Key features

Reads code and PRDs for context to form a testing spec
Verifies the running app, not a mock of it
Replay any session as video for PR evidence
Auto-Heal repairs tests when UI drifts
Reruns everything on every change to catch regressions
One engine, multiple surfaces (terminal, IDE, CI, browser)
End-to-end tests without writing scripts
Auto-generated test plans from PRD/live app

Pros and cons

Pros

Automates end-to-end testing across real app behavior

Supports multiple surface environments

Provides a single-failure bundle with evidence and fixes

Reviews

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Frequently asked questions

What does TestSprite actually do?

It gives you an end-to-end suite nobody has to write. Point it at your app; TestSprite works out how it behaves, runs it the way a user would, and returns a single failure bundle for anything that breaks — failing step, screenshots, DOM snapshot, test source, root cause, and a suggested fix. It runs from the terminal, your IDE, CI, or the dashboard, and the CLI is open source under Apache 2.0.

What is AI backend testing?

AI backend testing is the process of using artificial intelligence to automatically generate, execute, and evaluate tests for server-side systems such as APIs and microservices. With a tool like TestSprite, the platform analyzes your endpoints, documentation and specifications, builds test plans that cover functional behavior, error-handling, performance, security and edge cases, then executes them in a cloud environment and provides a detailed report with root-cause analysis.

What platforms or surfaces does TestSprite support?

TestSprite supports terminal (CLI), IDE integration, CI workflows, and a browser dashboard as part of its multi-surface verifier.

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