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Prompt engineering
The practice of designing and refining prompts, examples, and instructions to get reliable outputs from AI models.
Definition
Prompt engineering covers techniques such as role and goal statements, few-shot examples, step-by-step reasoning requests, output schemas, and iterative refinement. In products it extends to templates, variables, and evaluations that measure whether prompt changes improve results. It sits between craft and engineering, and it is increasingly automated by tools that test prompt variants.
Why it matters when choosing a tool
Teams that treat prompts as versioned, tested assets get more consistent quality from the same models, which matters when AI features reach customers.
Where you will meet it
AI Coding & Development, AI Agent & Chatbot Builders
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