  This paper introduces prompted software engineering (PSE), which integrates
prompt engineering to build effective prompts for language-based AI models, to
enhance the software development process. PSE enables the use of AI models in
software development to produce high-quality software with fewer resources,
automating tedious tasks and allowing developers to focus on more innovative
aspects. However, effective prompts are necessary to guide software development
in generating accurate, relevant, and useful responses, while mitigating risks
of misleading outputs. This paper describes how productive prompts should be
built throughout the software development cycle.
