TTL Episode 3: Prompt Engineering in Software Testing
Title: Prompt Engineering for Test Automation: Unlocking the True Power of AI in QA
Episode 3 breaks down the essential skill of Prompt Engineering—crafting the right prompts to make LLMs like ChatGPT and Claude effective allies in QA workflows.
Why Prompt Engineering Matters LLMs are only as good as the questions we ask them. A well-structured prompt can yield an accurate test case, while a vague one might confuse the model.
Key Concepts
- Zero-shot vs. Few-shot Prompts: Examples greatly enhance test quality.
- Role Instruction: Telling the AI who it is (e.g., "You're a senior QA engineer") improves response focus.
- Context Stacking: Combine product documentation, user stories, and previous outputs to inform new tasks.
Use Cases in Testing
- Writing test cases from user stories
- Generating code snippets for Selenium or Playwright
- Creating boundary condition scenarios
- Designing mocks/stubs for API testing
Featured Tool: testRigor AIax A hands-on demonstration was shared using testRigor’s AIax—a no-code AI assistant that allows test generation from plain English.
Tips Shared
- Build a prompt library specific to your domain
- Always preview AI output before execution
- Maintain consistent structure in prompts
Key Takeaway: Prompt engineering is a high-leverage skill for QA professionals. Learning to write effective prompts boosts productivity, test coverage, and AI reliability.
Listen to The Episode 3
🔁 Your feedback means a lot – let me know what you think, and feel free to suggest topics for future episodes!
Suggest A Topic : https://forms.gle/mnaLu3arwSFQDnzw5
Follow me on LinkedIn : https://www.linkedin.com/in/madhudhakite/
Read My Tech Blog: https://www.mdhakite.xyz/about/
Reachout anytime: madhusudan.dhakite@outlook.com