AI Code Prompts

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:

  1. State the language/framework
  2. Describe functionality needed
  3. Include constraints
  4. Specify inputs/outputs
  5. 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.

Create a simple REST API endpoint
Basic CRUD operations
File handling operations

Best Practices

Discover proven techniques and patterns for effective code generation prompts.

Clear and specific requirements
Including context and constraints
Handling edge cases

Advanced Patterns

Complex prompting patterns for sophisticated code generation needs.

Design patterns implementation
System architecture
Performance optimization

Code Refactoring

Prompts for improving and refactoring existing code.

Code modernization
Performance improvements
Clean code principles

Testing & Debugging

Generate test cases and debug existing code effectively.

Unit test generation
Bug identification
Test coverage improvement

Documentation

Create clear and comprehensive code documentation.

API documentation
Function documentation
README generation

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.