The prompt
Please add comprehensive documentation for [file or module name], including clear and concise explanations of its purpose, design, and implementation. Consider including examples of how to use the module, as well as any relevant diagrams or flow charts to help illustrate its workings. Ensure that the documentation is easily accessible to other developers and is updated as the module evolves.
[insert code here] What it is
Code Documentation Generator is a detailed prompt that asks the AI to produce comprehensive documentation for a code file or module. It goes beyond simple inline comments: the prompt requests explanations of purpose, design rationale, implementation details, usage examples, and even diagrams or flowcharts where appropriate. This prompt addresses one of the most common pain points in software development -- undocumented or poorly documented code. Whether you are preparing a module for handoff to another team, onboarding new developers, or simply building good habits, this prompt gives you a solid first draft of documentation that covers the essentials. The prompt is well-suited for generating README sections, module-level docstrings, or standalone documentation pages. Since it explicitly mentions keeping documentation updated as the module evolves, it serves as a reminder that documentation is a living artifact, not a one-time task.
Who it's for
- Developers
- Team leads responsible for maintaining documentation standards
Requirements
Requirements
- Any AI chatbot (ChatGPT, Claude, Gemini)
برومبت يطلب من الذكاء الاصطناعي إضافة توثيق شامل لملف أو وحدة برمجية يشمل الغرض والتصميم وأمثلة الاستخدام.
Examples
From the source
PromptPlease add comprehensive documentation for [file or module name], including clear and concise explanations of its purpose, design, and implementation. Consider including examples of how to use the module, as well as any relevant diagrams or flow charts to help illustrate its workings. Ensure that the documentation is easily accessible to other developers and is updated as the module evolves.
[insert code here]Expected output: From PickleBoxer's dev-chatgpt-prompts collection on GitHub.
Pros & cons
Pros
- Pro:Dramatically reduces the time spent writing documentation from scratch
- Pro:The prompt specifically asks for diagrams and usage examples, which are often neglected in manual documentation
Cons
- Con:The AI may document what the code does literally rather than explaining the why behind design decisions
- Con:Generated documentation needs review to ensure it matches your team's style and terminology
Tips
- Replace [file or module name] with the actual name so the documentation reads naturally
- Specify your preferred documentation format (JSDoc, docstrings, Javadoc) for language-appropriate output
- Ask the AI to include a 'Quick Start' section at the top for developers who just need to use the module without reading everything