Prompts are code that shapes AI behavior. Managing them requires version control, testing, and deployment practices similar to traditional software. Prompt templates enable consistent, maintainable AI interactions.
Template Patterns
Separate static prompt structure from dynamic content. Use variables for context injection. Create base templates extended for specific use cases. Document template purposes and expected outputs.
- Store prompts in version control alongside code
- Use template variables for dynamic content injection
- Create prompt libraries for reusable components
- Document expected inputs, outputs, and behavior
- Test prompts with representative inputs
Version Management
Track prompt changes with semantic versioning. Test prompt modifications before deployment. Enable gradual rollout comparing prompt versions. Monitor performance across prompt versions.