Compound Prompt Constraints in LLM Code Generation: A Factorial Study of Format, Persona, and Urgency

Large language models (LLMs) are increasingly used in software engineering pipelines for code generation, where production prompts often combine multiple constraints. This paper presents a full-factorial empirical study of how output formatting, persona assignment, and urgency framing jointly affect