Rock Smith, now discontinued, was an AI-powered black box QA testing platform that used AI agents to visually understand web applications and automate testing like real users, eliminating the need for brittle selectors and test maintenance.
What is Rock Smith?
Rock Smith enabled fast-moving engineering teams to automate black box QA testing with AI agents that visually analyzed web applications via screenshots and semantic understanding. Users described test scenarios in plain English, and the AI generated executable test flows with step-by-step reasoning. The platform ran browser execution locally through a desktop app, keeping sensitive data on the user’s machine, and offered cloud-based orchestration for instructions. It was developed by the Rock Smith team (no parent company is named on the site).
Key Features
- Edge Case Generation — Automatically generates boundary values, invalid inputs, and security scenarios including 14 test types such as XSS, SQL injection, Unicode, and empty input.
- Test Personas — Simulates real user behavior with configurable personas (e.g., Power User, Mobile Tester, New User) that vary tech proficiency, pace, and thoroughness.
- Local Browser Execution — The desktop app runs tests locally; sensitive data never leaves the user’s machine, enabling secure testing of internal apps and localhost.
- Semantic Targeting — Locates UI elements by visual description (e.g., “the blue submit button”) rather than brittle CSS selectors or XPaths, self-healing when the UI changes.
- Real-Time Execution — Displays live screenshots, step-by-step progress, and AI reasoning for every action during test runs.
- Visual Intelligence — AI agents perceive buttons, forms, and modals as a human would, using screenshot-based understanding rather than DOM parsing.
- Automated Discovery — AI agents crawl the application, capture screenshots, and save visual contexts of each page without manual setup.
Who is it for?
- QA Teams — Automate repetitive regression testing and focus on strategy instead of maintaining flaky test suites.
- Development Teams — Write tests in natural language without coding expertise; the AI handles implementation and element targeting.
- Security-First Engineering Teams — Test internal staging and localhost environments securely because the browser runs locally and no sensitive data is transmitted to the cloud.
What can you do with Rock Smith?
- Automate black box test flows — Describe tests in plain English (e.g., “Verify the login form works correctly”) and the AI generates multi-step flows with navigation, typing, clicking, and assertions.
- Generate edge cases and security scenarios — Automatically fuzz inputs with boundary values, SQL injection, XSS, and other vulnerability patterns to catch issues before production.
- Test localhost and staging apps — Run the desktop app on your machine to test internal web applications without exposing data to external servers.
How does it work?
- Discover Your App — AI agents explore the site, capturing screenshots and building a visual map of every page automatically.
- Create Test Flows — Users describe tests in natural language; the AI generates flows using semantic targeting that survives UI changes.
- Execute & Monitor — Tests run live with step-by-step screenshots, progress indicators, and AI reasoning for each action.
Pricing
Rock Smith offered a credit-based pricing model starting at $0.10 per credit (minimum 50 credits for $5), with monthly subscription tiers (Growth and Professional) that included fixed credit allowances and advanced features. The service has been discontinued and is no longer available for purchase.
FAQ
Is Rock Smith still available?
No. As announced on the official website, Rock Smith has been discontinued and the service is no longer available. The site remains online for informational purposes.
