In today’s post, I’m going to expand on a recent webinar in which I participated as a speaker. It was the webinar organized with Sii Poland, where I discussed using AI with Playwright in various scenarios. In the presentation, I focused on several key topics, and I encourage you to watch the recording.
What did the webinar cover?
Here are the main topics I covered in the presentation:
Creating test cases based on a swagger.json file and Cloude
I demonstrated how to utilize Cloud and the swagger.json file to generate API test cases from the complete REST API definition it contains. I believe it’s useful to explore LLMs from different perspectives, as this can help spark new ideas.
Playwright & MCP in action
In this section, I presented how to use Playwright MCP library to create an automated test. I also wrote a blog post about it. There is a link.
I recommend reading it because MCP is an interesting concept for extending LLM functionality.
Generating Page Objects using LLMs
During the presentation, I showed how to leverage LLMs to generate page objects. I also talked about using Cursor, our IDE, which supports this process within the project. I wrote an article about using Cursor – If you haven’t seen it yet, I encourage you to check it out.
Challenges & limitations of using AI (LLMs & machine learning)
Finally, I wrapped up the webinar on why it’s still important to develop strong technical skills to use AI effectively.
Access to the video
The video is available at the link below – just fill out a short form to download the content!
https://sii.pl/en/events/leveraging-ai-and-playwright-for-efficient-ui-api-testing
Summary
In this post, I shared key points from my webinar presentation. If you’re interested in the practical application of AI in test automation, I encourage you to watch the video and share your thoughts about it. Do you use AI in your daily work? Do you see any potential benefits or threats according to that?
