Design an AI Test Case Generation Agent
Build an AI agent that reads user stories and acceptance criteria, then generates comprehensive test cases including edge cases and negative scenarios.
Automate test case creation from requirements to improve test coverage and reduce QA planning time.
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Prompt objective
Automate test case creation from requirements to improve test coverage and reduce QA planning time.
Real use case
A QA team of 5 spends 2 days per sprint writing test cases from user stories. Coverage is inconsistent and edge cases are often missed.
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Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.
Prompt
Act as a QA automation architect. Design an AI test case generation agent for [COMPANY NAME]'s [WEB/MOBILE/API] application. **Context:** - Application type: [WEB APP/MOBILE APP/API] - Tech stack: [FRAMEWORK/LANGUAGE] - Test framework: [CYPRESS/PLAYWRIGHT/JEST/OTHER] - User story format: [JIRA/LINEAR/GITHUB ISSUES] - Average stories per sprint: [NUMBER] **Deliverables (numbered):** 1. Agent architecture: user story ingestion, requirement parsing, test case generation (positive, negative, edge cases), test data generation, and export to [TEST MANAGEMENT TOOL] 2. Test case structure: for each user story, generate test cases with ID, title, preconditions, steps, expected results, priority, and test data requirements 3. Coverage analysis: map test cases to acceptance criteria, identify gaps, ensure each criterion has at least one positive and one negative test 4. Edge case generation: boundary values, empty inputs, special characters, concurrent actions, network failures, timeout scenarios, and permission edge cases 5. Test data generation: create realistic test data sets (valid, invalid, boundary) with data cleanup instructions 6. Automation readiness: flag test cases suitable for automation vs. manual, generate skeleton test code in [FRAMEWORK] for automatable cases 7. Metrics: test case count per story, coverage percentage, estimated execution time, and historical defect detection rate **Constraints:** - Must generate test cases that are independent and idempotent - Must include teardown/cleanup steps where needed - Must flag tests requiring specific environments or test data setup
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- 1Replace the key placeholders first: COMPANY NAME, WEB/MOBILE/API, WEB APP/MOBILE APP/API, FRAMEWORK/LANGUAGE.
- 2Replace any bracketed placeholders like [this] with your own context.
- 3Add extra background information when you want more tailored results.
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