Prompt Engineering for QA
Prompt engineering for QA is the practice of designing and refining prompts used to instruct AI systems for testing purposes — generating test cases, evaluating outputs, or driving an AI test agent — where the quality of the prompt directly determines the quality and reliability of the AI's output.
A vague prompt like "generate test cases for this feature" produces inconsistent, often shallow results; a well-engineered one specifies the format, the categories of coverage needed (positive, negative, boundary), and relevant context about the system — treating prompt design with the same rigor as writing a good, unambiguous test case specification.
Because prompts drive non-deterministic systems, prompt engineering for QA purposes usually involves iterative testing of the prompt itself — running it multiple times, checking output consistency, and refining wording specifically to reduce variance — testing the tool used for testing, one level removed from the application under test.
