What is Prompt Engineering?
The practice of crafting effective instructions for large language models to produce useful, accurate, and well-structured outputs. Goes far beyond writing clever sentences. It encompasses system prompt design, few-shot examples, chain-of-thought reasoning, output formatting, and understanding how context windows and token limits shape model behavior.
My perspective
In practice
The most practical AI skill most professionals can learn today. Good prompting is really good communication: be specific about the role, context, constraints, and desired format. Advanced techniques include asking the model to think step-by-step, providing examples of ideal output, and iterating on prompts the way you'd iterate on code. The goal is reproducible quality, not one-off magic.