Can the generative AI policy clarify which coding use cases are permitted such as code generation debugging or refactoring

Question

With the help of proper code explanation and examples Can you tell me generative AI policy clarify which coding use cases are permitted, such as code generation, debugging, or refactoring?

Answer 1

The Generative AI Policy permits code generation, debugging, and refactoring, provided the use follows ethical guidelines, respects licensing, and does not produce harmful, biased, or proprietary content.

Here is the code snippet you can refer to:

In the above code we are using the following points:

• Permitted Use Cases: Code generation (ethical functions, classes, scripts), debugging (error fixing, optimization), and refactoring (readability, efficiency).
• Restricted Use Cases: No reverse engineering, malicious code, or unauthorized proprietary code generation.
• Best Practices: Ensure attribution, validate security, and follow ethical and legal guidelines for responsible AI use.

Hence, generative AI allows code generation, debugging, and refactoring, provided it aligns with ethical, legal, and security policies while avoiding malicious or unauthorized applications.

Read more: How to structure training loops in your generative AI code