Master AI Code Generation
Learn how to effectively prompt AI for code generation. Explore our comprehensive guide of prompt patterns and examples.
Basic Structure
A good prompt follows this pattern:
- State the language/framework
- Describe functionality needed
- Include constraints
- Specify inputs/outputs
- Request examples if needed
Example Prompt
"Using Python FastAPI, create a REST endpoint for user registration that: - Accepts email and password - Validates email format - Hashes password - Returns user ID Include error handling for duplicate emails."
Pro Tips
- •Be specific about versions
- •Mention coding style preferences
- •Request documentation inline
- •Specify error handling needs
- •Ask for test cases if needed
Common Use Cases
- •API endpoints development
- •Database operations
- •Data processing scripts
- •Unit test generation
- •Code refactoring tasks
Best Practices
- •Start with high-level overview
- •Break complex tasks into steps
- •Include context and constraints
- •Specify performance requirements
- •Request explanatory comments
Troubleshooting
- •Provide error messages
- •Include relevant code context
- •Specify expected behavior
- •Describe attempted solutions
- •Ask for step-by-step fixes
Prompt Categories
Getting Started
Learn the basics of prompting AI for code generation with simple examples.
Best Practices
Discover proven techniques and patterns for effective code generation prompts.
Advanced Patterns
Complex prompting patterns for sophisticated code generation needs.
Code Refactoring
Prompts for improving and refactoring existing code.
Pro Tips
Remember to be specific, provide context, and iterate on your prompts for the best results. Check out our examples to see how to structure your prompts effectively.