When designing an automated code review system for a large repository, you notice that developers are…

Question

When designing an automated code review system for a large repository, you notice that developers are experiencing 'alert fatigue' because the AI flags too many non-issues and stylistic preferences. What is the most effective prompt engineering technique to reduce these false positives?

Accepted Answer

B. Define explicit, measurable review criteria, such as flag functions exceeding 50 lines of code, instead of relying on vague instructions.

Answer

A. Instruct the model to be thorough and flag everything suspicious to ensure no bugs are missed.

Answer

C. Set the model's temperature to 0.0 to ensure deterministic output and eliminate all false positives.

Answer

D. Provide at least 15 few-shot examples covering every possible coding style in the repository.

Question 287