In the previous post, we looked at a simple web app and looked to see whether a model could generate test cases from the app, analyze the code of that app, and generate automation based on those test cases. Here we’ll refine that process a bit by considering a source of truth and considering different models working together to create a pipeline. We’ll even sneak DeepEval back in.

Continue reading AI and Testing: Using Model Pipelines for Testing →