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Check out 30+ best AI/ChatGPT prompts for software testing to streamline your test process, boost efficiency, and uncover bugs faster.

Harish Rajora
February 11, 2026
Software testing is constantly evolving, with new tools and techniques reshaping how QA teams work. Over the years, automation has played a big role in speeding up testing processes and improving accuracy.
Now, with the rise of AI tools like ChatGPT, testers have even more ways to automate tasks, generate ideas, and overcome challenges. One of the best ways to do this is the form of prompts. QA teams can use these AI/ChatGPT prompts for software testing to enhance their efficiency and productivity.
In this blog, we will explore the best AI/ChatGPT prompts for software testing.
ChatGPT is transforming software testing by automating routine tasks like test case creation, script generation, bug reporting, and strategy planning. By using clear and targeted prompts, QA teams can significantly improve testing efficiency and accuracy.
Here are some best ChatGPT/AI prompts for testing:
Test Case Generation & Design Prompts
Test Strategy & Planning
Automation Script Generation
Debugging & Troubleshooting
Performance & Usability Testing
CI/CD & Bug Reporting
Other Useful Prompts
AI tools, like ChatGPT, are gradually transforming software testing. Earlier, testers would manually write test cases or test scripts, run them, and look for defects. However, AI is automating these tasks to make this process more efficient.
For example, if you want to use ChatGPT for test automation, it can help you with generating test scenarios, test cases, and test scripts. ChatGPT also detects potential issues and even suggests fixes to resolve those. Our ChatGPT for testers page showcases how you can leverage these capabilities more efficiently with practical examples and insights tailored for software testing.
It can also analyze large datasets to identify areas of the software where issues are likely to occur. In addition, ChatGPT also improves its response generation by learning from previous testing cycles.
However, all of the above aspects rely on prompts, which play a key role in making AI tools like ChatGPT more useful in software testing. ChatGPT prompts allow you to provide clear and specific instructions that guide AI to automate various aspects of the testing process.
The following are some of the best ChatGPT/AI prompts for testing:
Purpose: To understand the theoretical meaning of a concept or terminology along with examples.
Prompt: What does <concept name> mean in software testing? Can you also share real-life use cases and examples?
Purpose: To define and list functional requirements for a web application.
Prompt: I want to build a simple web application that provides the cheapest price for an item on three websites: Amazon, Walmart, and eBay. Can you list down all the functional requirements needed for my web application?
Purpose: To get a rough idea about the timeline based on the project type, requirements, etc.
Prompt: How much time will it take to generate test cases and suites if my project is <project specifications>?
Purpose: To generate a test strategy based on the current skills of the team.
Prompt: My team knows <skills>. What should be the best strategy I should follow for testing <application type>?
Purpose: To create test cases based on the defined requirements.
Prompt: Can you generate test cases based on <write requirement specifications>? Also, include positive, negative, and edge scenarios.
When it comes to test case generation, it’s also essential to maintain and manage them regularly. In such cases, you can leverage cloud-based platforms like TestMu AI which comes with a built-in AI-native Test Manager where you can manage your test cases easily.
It provides automatic test case creation, both manually and using AI, test management, triggering, and reporting in one place. In addition, TestMu AI Test Manager lets you generate tests using the generated test cases with its AI-native test agent, KaneAI.
KaneAI by TestMu AI is an GenAI-native QA Agent-as-a-Service platform for high-speed quality engineering teams. It allows you to create, evolve and debug tests using natural language. You can also integrate KaneAI with the rest of TestMu AI’s offerings for test orchestration, execution and analysis.
With the rise of AI in Software testing, its crucial to stay competitive by upskilling or polishing your skillsets. The KaneAI Certification proves your hands-on AI testing skills and positions you as a future-ready, high-value QA professional.
Purpose: To prioritize test cases so that high-priority test cases can be executed first.
Prompt: Prioritize the following test cases so that high-priority cases are listed first.
<Test cases>
Purpose: To generate risk factors associated with a specific specification to be used for testing.
Prompt: What are the risks of testing a web application on <browser name> browser using <tool name>?
Purpose: To generate a test scenario on the pretext of the application’s intent.
Prompt: Generate a test scenario for an application that <intent>.
Purpose: To generate a use case for a certain test scenario.
Prompt: Write a use case for a person adding an item to a cart and making a purchase using a credit card.
Purpose: To generate a test data set to validate a certain functionality.
Prompt: Can you generate a test data set for <number of input fields> input fields <field names separated by “and”> to test the <functionality name> functionality? <Define any particular restrictive conditions if they exist>
Purpose: To understand the gaps in the test coverage to achieve maximum test coverage.
Prompt: I want to test the <functionality name> functionality of my web application. Are the following test cases/scenarios enough for 100% test coverage?
<Test cases or test scenarios>
Purpose: To know the most suitable test automation framework based on the skill set of the team.
Prompt: Which framework should the team use if <percentage> knows Java, <percentage> knows Python, and all are skilled in <tool or framework>?
Purpose: To understand the prerequisites required for working on a testing framework or tool.
Prompt: I am planning to start testing using <framework_name>. What are the prerequisites required?
Purpose: To get a calculated answer when confused between multiple automation testing tools based on a specific judging parameter.
Prompt: <Tool 1> or <Tool 2>? Which one would be more helpful for mobile app testing for <parameter>.
Purpose: To generate the test script for a specific requirement.
Prompt: Generate a test script in <framework> and <programming language> to test <functionality>.
Purpose: To understand the functionality of the test script in the plain language originally written using any programming language or testing framework.
Prompt: What does the following test script do?
driver = webdriver.Chrome()
driver.get("https://www.lambdatest.com")
driver.implicitly_wait(0.5)
title = driver.title
self.assertEquals(title, "Power Your Software Testing with AI and Cloud")”
Purpose: To get the correct syntax of any functionality for any testing tool/framework and programming language.
Prompt: What is the correct syntax to use <functionality> in <tool or framework> in <programming language> language?
Purpose: To generate comments for an existing test script to enhance readability.
Prompt: Generate comments for the following test script:
<Test script>
Purpose: To optimize the existing test script with the aim of making it more efficient or if any other perspective can be achieved apart from what the tester had thought. For instance, getting structural suggestions, future-proofing, or how to make the code clean.
Prompt: Can you optimize and enhance the efficiency of the test script given below?
driver = webdriver.Chrome()
driver.get("https://www.lambdatest.com")
driver.implicitly_wait(0.5)
title = driver.title
self.assertEquals(title, "Power Your Software Testing with AI and Cloud")”
Purpose: To understand how to work with a testing framework or tool unknown to the tester (probably with steps).
Prompt: I don’t know anything about <testing framework name or tool>. How to start working with it? Give me a step-by-step guide to follow.
Purpose: To understand an issue and how to resolve it.
Prompt: What does this error mean and how to fix it?
TestNG, by default, disables loading DTD from unsecured URLs.
Purpose: To get suggestions for fixing the code that raises errors during test execution.
Prompt: How do I fix the following code that asserts the title of a page in Selenium?
<Test script>
Purpose: To convert the test script from one programming language into another language. It is commonly used when testers are migrating from one testing tool/framework to another.
Prompt: Can you convert the test script from <language> to <language> for <tool or framework>?
<Test script>
Note: Generate test cases with AI-native Test Manager. Try TestMu AI Today!
Purpose: To act as an interpreter to execute a code without using any IDE.
Prompt: Act as a <programming language name> interpreter.
Once the AI/ChatGPT prompt is executed, provide the code, and the ChatGPT will execute it. If the tester wishes to get the execution without any explanation, they can mention that in the prompt as well.
Purpose: To familiarize with the best practices for a certain condition so that the tester can conduct the process smoothly and efficiently.
Prompt: What are the best practices for <condition>?
Purpose: To identify usability issues in an application’s user interface.
Prompt: Here is a screenshot of our application’s user interface (upload the screenshot). Can you point out any usability issues?
Purpose: To identify redundant or obsolete regression test cases.
Prompt: Here are our current regression test cases. Can you identify if there are any redundant test cases?
<Regression test cases>
Purpose: To analyze performance testing scenarios and suggest improvements.
Prompt: Given this anticipated user load {[Insert User Load]}, what performance testing scenarios would you suggest?
Purpose: To predict potential issues areas based on historical data.
Prompt: Based on the past data of similar projects, can you predict potential issues in the testing lifecycle?
<Past data>
Purpose: To set up a CI/CD pipeline based on the existing technology stack.
Prompt: Can you provide step-by-step instructions to set up a CI/CD pipeline for this technology stack?
<Technology stacks>
Purpose: To structure and document bug details in a comprehensive report.
Prompt: Can you create a well-structured bug report for this bug?
<Bug descriptions>
To efficiently leverage AI/ChatGPT prompts for software testing, it’s necessary to follow some of the best practices:
Using ChatGPT/AI prompts for testing has the potential to expedite your process. It helps testers automate different aspects of the testing process, leading to more efficient and effective results.
As the landscape of software development continues to evolve, leveraging AI/ChatGPT prompts for software testing will be key to staying ahead in delivering reliable and high-performing software applications.
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