The ability to generate code using AI is rapidly transforming software development, offering developers unprecedented opportunities to accelerate project timelines and enhance code quality. A well-crafted *Coding Prompt for AI Code Generation* can unlock the full potential of these tools, resulting in optimized, functional, and maintainable code. By clearly defining the desired functionality, input parameters, and output format, developers can guide the AI to produce code snippets that seamlessly integrate into existing projects. This approach not only streamlines the coding process but also empowers developers to focus on higher-level design and problem-solving, ultimately driving innovation and efficiency across the software development lifecycle. Understanding how to create effective prompts is becoming an essential skill for any modern programmer.
About Prompt
Prompt Type: Coding
Niche: Technology
Category: Tutorials
Language: English
Prompt Title: Coding Prompt for AI Code Generation
Prompt Platforms: ChatGPT, GPT 4, GPT 4o, Claude, Claude 3, Claude Sonnet, Gemini, Gemini Pro, Gemini Flash, Google AI Studio, Grok, Perplexity, Copilot, Meta AI, LLaMA, Mistral, Cohere, DeepSeek
Target Audience: Developers
Optional Notes: Provide specific examples and desired output format
Prompt
Details:
- Function Name:
calculate_factorial - Input: A single argument
nwhich is a non-negative integer. - Output: The factorial of
n. Ifnis 0, return 1. Ifnis negative, raise a ValueError with the message “Input must be a non-negative integer.” - Error Handling: Include appropriate error handling for invalid input (e.g., negative numbers).
- Style: Adhere to PEP 8 style guidelines. Include comments to explain the logic.
Example Usage:
result = calculate_factorial(5)
print(result) # Output: 120
try:
result = calculate_factorial(-1)
except ValueError as e:
print(e) # Output: Input must be a non-negative integer.Output Format: Python code.
Target Audience: Python developers.
Tone: Professional, informative.