Rock Smith
AI-powered QA agent that thinks like a human tester
9 followers
AI-powered QA agent that thinks like a human tester
9 followers
Rock Smith is an AI-powered black box QA testing platform. Autonomous agents discover, create, and execute test flows—testing web applications from the user's perspective. Our semantic targeting identifies UI elements by appearance and context, not CSS selectors, making tests resilient to UI changes. Replace manual QA bottlenecks with self-healing flows that adapt as your app evolves. You can speed up the QA process with test cases generated as your website evolves.
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Render: Get up to $100K in startup creditsCloud infrastructure for founders who want to move fast and NOT break things
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Hi Product Hunt! 👋
I'm Samwell, and I'm excited to launch Rock Smith — an AI-powered QA platform that changes how we test web applications.
🔥 The Problem
If you've ever worked with Selenium, Playwright, or Cypress, you know the pain:
1. Tests sometimes break as the UI changes (CSS selectors are brittle)
2. Writing and maintaining tests takes forever
3. QA teams spend 60% of their time on repetitive tasks
4. Manual testing is slow, expensive, and error-prone
✨ How Rock Smith Solves This
1. Semantic Element Targeting
Instead of fragile CSS selectors, our AI identifies elements by visual appearance and context:
- "the blue Submit button below the form"
- "the email input field in the login modal"
- "the shopping cart icon in the top right"
When your UI changes, the tests adapt automatically. No more maintenance nightmares.
2. Autonomous Test Discovery
Our AI agents explore your application and generate test flows automatically:
- Maps your site structure
- Identifies common patterns (forms, navigation, modals)
- Creates comprehensive test scenarios
3. Hybrid Desktop-Cloud Architecture
- Browser runs locally on your machine (no data exposure)
- Test internal tools, staging environments, even localhost
- Cloud AI processes the intelligence
- Real-time execution with live browser view
4. Advanced Testing Features
- 19 action types (click, type, navigate, scroll, etc.)
- 12 assertion types for comprehensive validation
- Automated fuzzing for edge cases and security scenarios
- Persona-based testing to simulate different user behaviors
🎯 Who Is This For?
- Development teams tired of maintaining brittle test scripts
- QA engineers who want to focus on strategy, not repetitive tasks
- Startups without dedicated QA resources
- Agencies managing multiple client projects
- Enterprises needing comprehensive test coverage
What Makes Us Different?
vs. Traditional Automation (Selenium/Playwright):
✅ Self-healing tests that adapt to UI changes
✅ Natural language targeting vs. brittle CSS selectors
✅ AI-powered discovery vs. manual script writing
✅ Visual intelligence vs. DOM-only targeting
vs. Cloud Testing Services:
✅ Hybrid architecture keeps sensitive data local
✅ Test localhost and staging without exposure
✅ AI-powered vs. record-and-playback tools
I'd Love Your Feedback On:
What types of applications would you most want to test?
What features would make this a must-have for your team?
How do you currently handle QA testing?
How would you prefer to adopt this tool in your existing QA testing workflow?
Thanks for checking out Rock Smith! Happy to answer any questions in the comments.
🔗 Links
Website: Rock Smith - AI-Powered QA Testing Platform - Rock Smith
Demo Video: How AI Automated Our Entire QA Test Case Creation Process | Rock Smith
Documentation: AI-Powered QA Platform | Documentation | Rock Smith
Twitter: https://x.com/rocksmith.ai
@cogitoergosumsw
The shift from brittle selectors to semantic, self-healing tests is the right evolution for test automation. The hybrid architecture for local data is a crucial trust signal for enterprises.
A key go-to-market question: For a product that replaces entrenched workflows (like Selenium), is your primary acquisition path bottom-up through developer teams, or top-down by convincing engineering/QA leadership of the ROI on saved maintenance time?
@olajiggy321 thanks for your question!
the plan is to do it bottom-up through development teams and QA engineers to realise the value of the product in speeding up the testing process.
We want the word of mouth of these reliable testimonies from the engineers to convince the leadership teams that this is worth the investment.