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Use Case

Automate end-to-end testing with AI agents

Build agents that explore your application, find bugs, generate test cases, and validate user flows. They think like a QA engineer but test at machine speed.

The Problem

  • Manual QA can't keep up with rapid release cycles
  • Test suites are brittle and break with every UI change
  • Edge cases slip through because they're hard to enumerate
  • QA is a bottleneck before every release

How It Works

  1. 1Point the agent at your staging environment
  2. 2Define critical user flows and acceptance criteria
  3. 3Agent explores the app, tests flows, and probes edge cases
  4. 4Reports bugs with reproduction steps and screenshots

Results

  • Continuous testing on every deploy, not just before releases
  • Discovers edge cases humans miss through exploratory testing
  • Tests adapt to UI changes without brittle selectors
  • QA engineers focus on test strategy, not manual execution

Example Agent Prompt

Test the checkout flow on staging. Try valid and invalid inputs, different payment methods, and edge cases like empty cart. Report any bugs found.

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