Prompt Engineering

The practice of crafting input text (prompts) to guide LLM behavior and output quality. Techniques include: zero-shot (direct instruction), few-shot (providing examples), chain-of-thought (step-by-step reasoning), system prompts (setting context/persona), and structured output formatting. Effective prompts are specific, provide context, and include constraints. Critical for AI-assisted blockchain development.