Prompt engineering is the practice of designing the text (and sometimes structure) you send to an LLM or AI tool so that the output is accurate, relevant, and in the right format.
For developers, this means writing prompts that specify the task, language, framework, and constraints so generated code is usable and on-stack. For design tools, it means describing layout, audience, and style so the result matches intent. Good prompt engineering reduces back-and-forth and improves consistency; it’s become a core skill when working with AI-assisted dev and design.