The ability of AI to generate code has become increasingly popular. While this technology has the potential to accelerate software development, there are also concerns about the quality and reliability of AI-generated code. To ensure that AI-generated code is of high quality, prompt engineering approaches such as natural language prompts, code completion, code templates, and feedback loops can be applied. These approaches can help guide the AI model to generate code that is consistent with human coding standards and best practices, and to continuously improve the model’s performance over time.