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  "name": "Can I trust AI to write the tests for the code it generated?",
  "description": "AI can suggest useful tests, but its tests may share the implementation’s assumptions. Define expected behavior first, include invalid inputs, permissions, outa",
  "url": "https://runmyaibusiness.com/faq/can-i-trust-ai-to-write-the-tests-for-the-code-it-generated",
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      "name": "Can I trust AI to write the tests for the code it generated?",
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        "text": "Use AI to suggest tests, but do not let it define success without an independent standard. Generated tests may repeat the same mistaken assumption as the generated implementation and therefore miss important failures.\n\nA stronger process begins with user-visible behavior and acceptance criteria. For business workflows, those criteria might include correct lead capture, accurate email routing, proper access control, reliable payment status, or safe handling of failed integrations.\n\nKey factors:\n- Expected behavior and unacceptable behavior.\n- Boundary values and invalid inputs.\n- Permission and privacy scenarios.\n- External service outages and partial failures.\n\nPractical guidance: Write a few acceptance tests before asking AI for implementation. Have AI propose additional cases, then review them against the specification and test critical behavior manually or with independent checks.\n\nRun My AI Business emphasizes approval and source verification rather than treating a generated draft as proof of performance.",
        "description": "AI can suggest useful tests, but its tests may share the implementation’s assumptions. Define expected behavior first, include invalid inputs, permissions, outages, and edge cases, then review the proposed tests independently and manually verify critical workflows."
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