Answer: Provide recent secure-code examples and ask the LLM to generalize (few-shot)

## Explanation The correct answer is **A** because: 1. **Few-shot learning with recent examples** provides the LLM with concrete, up-to-date patterns of secure coding practices that it can learn from and generalize. 2. **Zero-shot outputs contain outdated security patterns** - this indicates the model's base knowledge is not current enough, so providing recent examples directly addresses this gap. 3. **Chain-of-thought (B)** helps with reasoning but doesn't necessarily provide the model with updated security knowledge. 4. **Role-playing (C)** without examples relies on the model's existing knowledge, which is already outdated. 5. **Higher temperature (D)** increases creativity/randomness but doesn't ensure modern security practices are followed. **Key takeaway**: When dealing with domain-specific, time-sensitive knowledge like security best practices, providing recent examples (few-shot prompting) is the most effective way to guide the LLM toward current standards.

Author: Ritesh Yadav