An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

This is where things like the Gherkin format and Cucumber can be useful. They serve as the cornerstone of behaviour-driven testing implementation in general by providing the teams with tools to write ...