How to AI-Test for Dummies

David Moll June 16, 2025

Why now is the perfect time to start AI-powered testing

Imagine you could test your software without writing a single line of code. What used to sound like science fiction is now reality. AI-supported testing makes it possible for people without programming skills to create professional tests.

Why is now the right time? The technology has finally been developed to the point where it is accessible to beginners. At the same time, the pressure on companies to test their software faster and more reliably is increasing. AI testing offers the perfect solution here: it is easy to learn, saves time and makes better tests possible.

What is AI testing anyway?

AI testing means that an artificial intelligence helps you test your software. Instead of laboriously repeating every click by hand, you simply describe in normal language what needs to be tested. The AI then translates this into functional tests.

Think of AI testing like a very intelligent assistant. You tell it: ‘Check whether a user can log in successfully’ - and it performs all the necessary steps automatically: Open website, enter username, enter password, click ‘Log in’ and check if it worked.

The major advantages here cannot be overlooked:

• No programming knowledge required
• Tests run automatically
• Errors are recognised immediately
• Time remains for more important tasks

Step 1: Describe the test case in simple terms

The first step is the most important: describe exactly what is to be tested. Think like a user, not like a technician.

Example of a good description:

I want to test whether a customer can successfully add a product to the shopping basket. To do this, the AI should go to the product page, click on ‘Add to basket’ and check whether the product is really in the basket.

Example of a bad description:

Test the shop. Check whether everything works and the user can buy.

Tips for good descriptions:

• Use simple, clear language
• Describe essential steps individually
• Think about the expected result
• Stick to one test per description

Step 2: AI generates the test code

This is where the magic happens: the AI translates the description into a functional test. Depending on the tool, there are different approaches. kiteto, for example, navigates independently through your application, executes what you have written in your test description and saves every action and every assertion, so that the test code can be generated from this at the end. You can then simply download the code or integrate it into your project in another way.

Step 3: Execution and interpretation of the results

Once the test has been created, it is time to run it. One click is all it takes to run the test. The test tool then shows in an overview what has happened:

• ✅ Successful: The test has run, everything works
• ❌ Failed: There was a problem, details are displayed

Typical pitfalls and how to avoid them: What beginners should look out for

• Stumbling block 1: Initial tests that are too complex Start with simple tests such as ‘Login works’ or ‘Page loads correctly’.

• Pitfall 2: Unclear descriptions Write as if you were explaining to a colleague or user who does not know the software.

• Pitfall 3: Too many tests at once Start with 3-5 important tests. You can always add more tests later.

• Pitfall 4: Giving up at the first problem Every test that finds an error is a success! That’s the whole point.

Advanced techniques: How to grow from simple to more complex tests

After your initial successes, you can gradually expand your tests. The key is not to want too much too quickly, but to systematically expand your skills. In the first step, focus on basic tests: start with simple functions such as login and logout, test the basic page structure and try out simple forms. These tests will give you the confidence you need and quickly show your first successes.

As soon as you feel confident, you can move on to more advanced individual tests. Now it gets more interesting: Test complete ordering processes, combine several steps and experiment with different input data. This is where you learn how versatile AI testing really is.

Once you have successfully created several different tests, you are ready for test suites. This means that you can run several tests automatically one after the other. You can also create tests for different devices and set up regular execution. Your tests now practically work independently for you.

The final step is to integrate them into your workflows. Once you are comfortable with the tests, you can integrate them into the overall development process, set up automatic notifications and improve team collaboration. At this point, you are no longer a beginner, but a competent user of AI testing.

How to get your work-environment excited about AI testing

The best test is useless if you work with it alone. Sooner or later, you will have to convince your colleagues and superiors of the benefits of AI testing. This is often more difficult than the technology itself, but with the right approach you can do it.

The best way to convince your boss is through concrete figures and business values. Instead of technical details, talk about time saved and reduced costs. A simple example: ‘I used to spend 8 hours a week on repetitive tests. With AI testing, it’s now only 2 hours - I can use the other 6 hours for more important tasks.’ That quickly adds up to an impressive annual figure.

Getting colleagues to join in requires tact and sensitivity. Many are afraid that AI will make their work superfluous. Instead, show them how AI testing can take over the boring, repetitive tasks and give them time for the more interesting, creative aspects of testing. Offer to create the first tests together and share your successes generously.

Summary: You’re ready for the AI testing revolution

The most important thing is: You can do it! Thousands of people without a technical background are already successfully using AI testing. What they’ve done, you can do too. The key is to start small and grow step by step.

Remember that we are only at the beginning of a fascinating development. AI technology is developing rapidly, and what seems complex today will become even simpler tomorrow. The tools will become more intelligent, operation will become more intuitive and the possibilities will increase. We are literally just scratching the surface of what will be possible in the next few years.

By joining now, you will become part of this development and benefit from every advance. You don’t have to be perfect - you just have to start. Your first test may be simple, but it’s the first step towards a future where software testing is accessible to everyone.

The AI testing revolution has already begun. The question is not whether it is coming - it is already here. The only question is: Are you there?

FAQ: Answers to the most frequently asked questions from beginners

Do I need programming skills?

No! That’s the big advantage of AI testing. You describe in normal language what is to be tested.

What happens if my software changes?

Modern AI tools automatically adapt to small changes. Larger changes may require adjustments to the test description.

Does it cost a lot of money?

Most tools offer free starter versions. If your requirements grow beyond this, there are always inexpensive upgrades that will help you further.

Can I also test mobile apps?

Yes, many AI testing tools also support apps.