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This paper presents prompt design techniques for software engineering, in theform of patterns, to solve common problems when using large language models(LLMs), such as ChatGPT to automate common software engineering activities,such as ensuring code is decoupled from third-party libraries and simulating aweb application API before it is implemented. This paper provides twocontributions to research on using LLMs for software engineering. First, itprovides a catalog of patterns for software engineering that classifiespatterns according to the types of problems they solve. Second, it exploresseveral prompt patterns that have been applied to improve requirementselicitation, rapid prototyping, code quality, refactoring, and system design.

ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design