HelpMeTest is like hiring an AI as your QA engineer. Your AI writes deterministic test code that runs the same way every time—no flaky AI guessing, just reliable automated tests that you build through conversation.

AI-Powered Testing

Interactive test writing

Build tests step by step through conversation with your AI. Say "go to the login page," see it happen in real-time, then "click the login button," verify it works, then "fill in the username." Each step executes immediately so you know it works before moving to the next one. Read more →

Record everything

Every test execution is recorded. See exactly what happened—every page navigation, every click, every form fill, every assertion. When a test fails, replay the session to see what went wrong.

AI writes deterministic test code

Tell your AI assistant what to test and it writes reliable Robot Framework test code for you. "Test the login flow" becomes actual code that runs the same way every time. No AI randomly clicking around—just solid automation you build through conversation.

AI maintains your tests

When your UI changes and tests break, your AI fixes them. When you add new features, your AI adds tests for them. Test maintenance becomes a conversation instead of a chore.

AI debugs test failures

When tests fail, your AI analyzes the recorded session and tells you exactly what broke. Instead of reading stack traces, you ask "why did the login test fail?" and get a clear answer with the exact step that failed.

Test anything

Web applications, APIs, databases, file systems, external services. If it's part of your infrastructure, you can test it.

AI as Your QA Engineer

Pre-deployment checks

Before deploying, ask "are we ready to deploy?" Your AI runs relevant tests and gives you a clear yes or no with reasoning.

Deployment verification

After deploying, your AI verifies everything works correctly by running tests and checking that services respond normally.

Continuous testing

Tests run automatically on schedule. You get alerts when they fail. Your AI can analyze patterns like "this test started failing after we deployed version 2.1."

Test organization

Tag tests by category (smoke tests, integration tests, user flows). Run individual tests, test suites, or all tests in a category through conversation with your AI.

Conversational Testing

Your AI assistant (Claude, Cursor, VSCode) understands your tests and can work with them through natural conversation:

  • "Create a test that verifies users can log in and place an order"
  • "Run all the smoke tests and tell me if anything failed"
  • "Why is the checkout test failing?"
  • "Update the login test to use the new authentication flow"
  • "Show me all tests that are currently failing"

Infrastructure Monitoring

Beyond testing, HelpMeTest monitors your infrastructure health and alerts you when services go down or slow down.

Uptime monitoring

Get notified when services stop responding. Web servers, APIs, databases, background workers—if it goes down, you'll know immediately. Read more →

Performance tracking

Get alerts when response times degrade. Your API usually responds in 100ms but now takes 3 seconds? You'll know before users complain.

Cron job monitoring

Get notified when scheduled tasks don't run. Database backups, maintenance scripts, data processing—if they fail silently, you'll get an alert.

Database health

Monitor database connections, query performance, and backup status. No more discovering failed backups weeks later when you need to restore.

AI setup

Tell your AI "add health checks to all my containers" and it handles everything automatically. No manual configuration needed.

Getting Started

Then ask your AI assistant:

  • "Create a test that verifies the login flow works"
  • "Run all our tests and tell me what failed"
  • "Add health checks to monitor our services"

Documentation


Questions? Email us at contact@helpmetest.com