In the rapidly evolving field of machine learning, ensuring the reliability of code is paramount. Traditional AI testing methods may not always suffice, necessitating a deeper exploration of verification patterns.
Agentic engineering offers a framework for understanding how to verify and validate AI systems effectively. This article discusses various verification patterns that can be employed to enhance code reliability.
Additionally, we will examine the specific Azure and GitHub services that implement these verification patterns, providing practical tools for developers to ensure their code functions as intended.