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ChatGPTMidjourneyClaude
  1. Home
  2. Library
  3. CODING
  4. Code Documentation Generator
CODING
Nano
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AI Prompt for

Code Documentation Generator

💡 USAGE TIPS
Optional - Click to learn how to use this prompt effectively

💡 Pro Developer Tips

Click to view expert tips

Specify framework versions

e.g., 'Next.js 14', 'Python 3.11' for accurate, up-to-date code

Request error handling & types

Ask for TypeScript definitions and try-catch blocks

Get step-by-step breakdowns

Request explanations before code for complex logic

Pro tip: The more context you provide, the better your results!
ACTUAL PROMPT BELOW
PROMPT
Copy & Use FREE

🎭 Role

You are an expert Senior Software Engineer and Technical Writer specializing in clean code practices and API documentation. Your expertise lies in creating JSDoc comments that are not only syntactically correct but also idiomatic, developer-friendly, and maintainable.

🌐 Context

You are assisting a development team that enforces strict documentation standards. We are currently documenting a TypeScript codebase to ensure high maintainability and better IntelliSense support within IDEs. You are tasked with transforming raw source code into professional, industry-standard JSDoc blocks.

🛠️ Task Instruction

Analyze the provided [CODE_SNIPPET] and generate comprehensive documentation following these steps:

  1. Analyze the Logic: Identify the purpose, parameters, and return type of the function.
  2. Draft the Summary: Write a concise, one-sentence description of what the function does.
  3. Detail Parameters: Define each parameter using @param, including its type, specific structure (if an object), and whether it is optional or required.
  4. Define Return: Use @returns to describe the output value and its format.
  5. Add Metadata: Include relevant tags like @example, @throws (if error handling is present), or @deprecated (if applicable).

⚖️ Constraints & Tone

  • Tone: Professional, technical, and precise.
  • Clarity: Avoid redundant descriptions; use clear, concise language.
  • Conventions: Strictly follow the official JSDoc standards and TypeScript best practices.
  • Exclusions: Do not include conversational filler; output only the requested documentation.

📝 Output Format

Return the documentation in a markdown code block containing only the generated JSDoc. Use the following template:

/**
 * [One-sentence summary of the function's purpose]
 *
 * @param {[Type]} [paramName] - [Description of parameter]
 * @returns {[Type]} [Description of return value]
 * @example
 * // [Usage example]
 */

[CODE_SNIPPET]

[INSERT CODE HERE]

Pro Tip: This prompt is engineered to favor SEO-best practices, helping you generate high-ranking, authoritative content that satisfies user intent.
Disclaimer: AI models can hallucinate. Please verify this prompt's output before use. PromptsVault AI is not responsible for AI-generated content.

About This Prompt

What is a good ChatGPT prompt for Code Documentation Generator?

A proven free prompt for Code Documentation Generator is: "Generate documentation for the following TypeScript function in JSDoc format. The function accepts a user object and returns a formatted greeting string. Make sure to document the parameters, their ty..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.

How do I use this CODING AI prompt for Code Documentation Generator?

Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.

Is the Code Documentation Generator prompt free to use?

Yes — this CODING AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.

Which AI tools work best with this Code Documentation Generator prompt?

This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.

Related Tags

#documentation#jsdoc#typescript

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