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AI code reviewer that autonomously runs apps, finds bugs, and builds regression tests for every PR.

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About TestDriver

The AI QA Engineer for Every Pull Request

TestDriver is an autonomous AI code reviewer that goes beyond static analysis by actually running your application in a real desktop sandbox. Instead of just reading diffs, TestDriver executes your UI like a real user—clicking, typing, and validating behavior across web apps, desktop applications, Chrome extensions, and VS Code extensions. It automatically tests every pull request, catches runtime and visual bugs before they merge, and generates regression tests that land directly in your codebase.

Built for Modern Engineering Teams

TestDriver solves the critical problem of untested pull requests slipping into production. Traditional code review catches logic errors but misses visual bugs, broken user flows, and runtime regressions. TestDriver fills that gap by running end-to-end tests on every commit, using AI vision to understand your UI and validate complete user journeys—no selectors, no DOM manipulation, no brittle scripts.

Key Features and Capabilities

  • Autonomous PR Validation: The vision agent reads your pull request diff, generates end-to-end tests from the changes, and runs them automatically in a real sandbox environment
  • Self-Healing Tests: When UI elements move or change, TestDriver re-invokes AI to locate them and updates its cache—tests survive redesigns without manual rewrites
  • Universal App Support: Works with third-party web apps you don't control, browser extensions with popups and background pages, native Windows/macOS applications, VS Code extensions, canvas/video/iFrames, PDFs, and LLM chatbots
  • Test Contribution Workflow: After generating a passing test, TestDriver opens a new pull request with the test code committed to your repo for review and merge
  • CI/CD Native: Tests run as plain Vitest code on your machine and in CI pipelines, with full video replay, network logs, and step-by-step action history for debugging failures
  • Quality Monitoring: Track pass rates, flaky tests, and failure trends across every run with JUnit XML export for existing reporting tools

Typical Workflows

Developers tag @testdriverai in GitHub to trigger automatic test generation. The agent provisions a real desktop VM (Windows or macOS), launches the app or browser, executes the test flow using natural language commands like find("upload button"), and validates assertions with assert("dashboard is visible"). Passing tests get committed back as pull requests; failing tests surface immediately with detailed replay videos and network inspection.

Integrations and Deployment

TestDriver integrates natively with GitHub for PR-triggered workflows, runs as a Vitest suite in CI/CD pipelines, and offers a VS Code extension for local development. Enterprise customers can deploy privately with custom workflows and dedicated Slack Connect support. The platform supports both hosted and AWS deployment options.

What Sets TestDriver Apart

Unlike Playwright or screenshot testing tools, TestDriver combines autonomous AI review with real application execution across any platform—web, desktop, or mobile. Tests adapt to UI changes instead of breaking on every redesign, and the agent operates unattended in CI with no human in the loop. It's the only solution that reviews code and runs your actual app to catch bugs before they ship.

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Haxor Inc.
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Free Tier Available

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Prices may vary based on usage volume and selected features. Contact sales for custom enterprise pricing.

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