Let Generative AI Help You Write Test Cases, The Right Way

Let Generative AI Help You Write Test Cases, The Right Way

As SDETs, we often spend a lot of time translating feature requirements into test cases. It gets repetitive and honestly, it’s not the best use of our time.

With Generative AI, you can offload that initial draft and focus more on coverage, edge cases, and automation.

Here's a generalized, reusable prompt you can use with tools like Claude, ChatGPT or Gemini to generate detailed, structured, automation-ready test cases.

🧪 Prompt Template for SDETs : Test Case Generation Using GenAI

You are a Senior SDET working on a <mention your feature summary>. Your task is to write a comprehensive set of test cases to validate <mention your feature concept>. Use the following context to understand the feature.

Feature Background:

<Brief background about how the feature works or integrates with other systems>

User Story:

<The user story from the product team or requirement spec>

Acceptance Criteria:

<List of key acceptance points — functional, non-functional, edge cases, etc.>

<Add confidence thresholds, response times, supported formats, etc. as needed>

Output Format:

Provide the test cases in tabular form with these columns:

Summary

Description

Preconditions

Test Steps

Test Data

Expected Result

Priority

Automation Feasibility (Yes/No)

Include both positive and negative test cases. Cover validations, edge cases, performance checks, and error handling.

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💬 Want to see how this works with a real example? Drop a Comment “Test It” and I’ll reply with a full sample.

Feel free to save or bookmark this post - it can save you hours the next time you’re drafting tests for a new feature.

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