Prompt Engineering

The skill of writing, structuring, and iterating on instructions—often called prompts—so that an AI model produces the desired output. In coding contexts, good prompt engineering includes providing context, specifying constraints, and showing examples. In vibe coding workflows, clear prompts directly determine code quality. Effective prompt engineering reduces hallucinations, improves specificity, and is essential for getting reliable results from both code generation and agentic tasks.

Related terms

Related terms

  • Prompt Caching

    AI

    Prompt Caching stores reusable prompt context so repeated requests can skip redundant processing and improve performance.

  • Token Budget

    AI

    Token Budget is the practical limit you set for prompt and completion tokens to balance quality, latency, and cost.

  • Prompt Template

    AI

    A Prompt Template is a standardized prompt format that injects variable content into fixed instructions for consistent outputs.

    Related AI terms: Prompt Enhancement and Prompt-to-Code.

  • Guardrails

    AI

    Guardrails are technical and procedural constraints, such as filters and validators, that enforce safe and reliable AI behavior.

    Related AI terms: Model Card and Content Credentials.

  • Prompt Injection

    AI

    Prompt Injection is an adversarial technique that embeds manipulative instructions in user or retrieved content to subvert model behavior.

  • First Draft

    AI

    First Draft is an AI workflow for quickly generating editable interface concepts. Teams use it to move quickly from idea to wireframe and then refine output with Prompt-to-Code.

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