Part 3. The feedback

In part 3, we highlight the critical role of testing, quality assessment, and explanation in AI-augmented software development. This section focuses on ensuring the reliability and robustness of software built with LLMs. It covers the processes involved in bug hunting and code translation, emphasizing the importance of thorough testing and quality control. Using AI, developers can generate clear explanations of AI-generated code, facilitating better understanding and collaboration within development teams. This part underscores the necessity of maintaining high standards in software quality and provides strategies for achieving this in an AI-driven environment.