We are currently in the age of AI, with its applications becoming integral to daily life and business. AI’s relevance extends beyond engineers, offering advantages across various jobs and activities. Many professions use AI to streamline processes, save time, and utilize existing knowledge. AI is already being used in many areas of everyday life and business through various types of chatbots. We can all agree that this approach is highly beneficial and time-saving. The key skill people need in this area is knowing how to prompt questions and requests to get the most accurate and valuable answers. There are even predictions that new jobs, such as prompting engineers, will soon emerge.

In our last article, we discussed how important it is to follow the most beneficial and crucial recommendations while developing or maintaining test automation solutions. The benefits are large and well worth the time and effort required to acquire them.

In this article, we will continue with recommendations. 

As previously said, there are numerous suggestions and practices that should be followed when developing AT solutions.

Most QA engineers today are already following the standard of implementing test automation solutions on their projects. But are we assessing our AT solution to ensure that we are getting the most out of it? Do we use AT recommendations and best practices, and how crucial is that? Is it even possible to apply best practices to every project? 

Let's find out together.