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Prompt Engineering Pattern

Craft effective prompts for reliable, high-quality AI outputs with structured responses, few-shot examples, and chain-of-thought reasoning.

What's Included#

  • System prompt design for consistent AI behavior and persona
  • Output format specification with JSON schemas and structured responses
  • Few-shot examples for teaching patterns through demonstrations
  • Chain-of-thought reasoning for complex multi-step problems
  • Template composition for reusable, parameterized prompts
  • Prompt versioning and A/B testing strategies

Usage#

Via CLI#

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Via AI Assistant#

Ask your AI assistant:

  • "Use the prompt engineering pattern from Bootspring"
  • "Apply the Bootspring prompt engineering pattern to my project"

Key Considerations#

  • Be explicit about output format requirements to reduce parsing failures
  • Use few-shot examples for complex tasks where description alone is ambiguous
  • Version and track prompts as they evolve to enable rollback and comparison
  • Test prompts with diverse inputs including edge cases and adversarial inputs
  • Keep system prompts focused; split complex behaviors across multiple calls if needed

Related Patterns#