Series 2- Advanced Prompt Engineering for Testers: SDLC Phases & Test Pyramid Levels

in continuation to prompt engineering for testers, this post provides practical, ready-to-use AI prompts tailored for testers working in environments utilizing JIRA, X-Ray, Bitbucket, and automation tools like Selenium and Playwright. These prompts employ the Chain of Thought (CoT) technique to ensure logical, step-by-step reasoning for exhaustive test coverage across different test levels.

📌 1. Unit Testing

🔹 UI Testing

These prompts are tool / scripting langauge agnostic, though I use some industry recognized, widely used tools in these prompts, you can comfortably replace them with your choice of tools and scripting languages Let’s dive in!!!

Prompt# 1️

Step1 : Identify form fields and expected validation rules.

Step 2: Design negative and positive test scenarios for each field.

Step 3: Generate Selenium-based unit test scripts to verify the login form’s field validation messages for empty and incorrect input values.”

Prompt# 2️

Step:1 Identify hover elements and their expected behavior.

Step 2: Validate CSS class changes or event listeners triggered.

Step 3: Write a Playwright script to validate dynamic element rendering when a user hovers over a navigation menu item.”

Prompt # 3️

Step1: Define expected CSS properties for UI components.

Step 2: Validate different screen resolutions.

Step 3: Create test cases for verifying CSS properties like font size, color contrast, and button alignment in a responsive web design.

Prompt # 4️

Step 1: Identify interactive UI components (tooltips, popovers, modals).

Step 2: Determine trigger events and expected responses.

Step 3: Develop unit test assertions to validate tooltips, popovers, and modal windows using Playwright’s locator functions.

Prompt # 5️

Step 1: Capture UI snapshots before and after changes.

Step 2: Compare baseline images against new UI versions.