20 of the best prompts for ChatGPT for code documentation, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.
20 of the best prompts for ChatGPT for code documentation, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.
Published July 9, 2026
Most people try to use AI for ChatGPT for Code Documentation with a single vague prompt and get generic results. This guide takes a different approach: 4 targeted stages, from Inline Comments and Docstrings through Architecture and Technical Docs, each with a prompt that gives the AI exactly the context it needs. Write clear, comprehensive code documentation faster using ChatGPT to generate comments, docstrings, READMEs, and API docs. Works with ChatGPT, Claude, and Gemini.
Use ChatGPT to write inline comments and docstrings that explain the why and the what for future maintainers.
Write docstring
Write a docstring for this function: [PASTE FUNCTION]. Include: description, parameters (name, type, description), return value, and one usage example.
Add inline comments
Add inline comments to this complex code block to explain what each section does: [PASTE CODE]. Focus on explaining why, not just what.
Write JSDoc / Python
Write JSDoc / Python docstrings / JavaDoc comments for all functions in this file: [PASTE FILE]. Follow the standard format for [LANGUAGE].
Code has no
This code has no comments and is hard to follow. Add the minimum necessary comments to make it understandable to a developer who has never seen it: [PASTE CODE].
Write comment block explaining
Write a comment block explaining this algorithm: [PASTE CODE]. Include: what problem it solves, the approach used, time complexity, and any key assumptions.
Use ChatGPT to write project-level documentation that helps new developers get started quickly.
Write README
Write a README for this project: [DESCRIBE PROJECT]. Include: project name, description, installation instructions, usage examples, and a contributing section.
Write Getting Started guide
Write a Getting Started guide for [PROJECT/LIBRARY]. Assume the reader is a developer who knows [LANGUAGE] but has never used this project. Cover: installation, configuration, first usage, and a working example.
Improve it
I have this README: [PASTE README]. Improve it by: clarifying the project purpose, adding better code examples, and organizing it so developers can find what they need in under 60 seconds.
Write CONTRIBUTING.md
Write a CONTRIBUTING.md for this project. Cover: how to set up the dev environment, coding standards, how to run tests, and the PR process.
Write CHANGELOG entry
Write a CHANGELOG entry for this release: [DESCRIBE CHANGES]. Follow the Keep a Changelog format with sections for Added, Changed, Fixed, and Removed.
Use ChatGPT to write API documentation that developers actually want to read.
Write API documentation
Write API documentation for this endpoint: [PASTE ENDPOINT CODE]. Include: endpoint path, method, description, request parameters (name, type, required/optional, description), response schema, and an example request/response.
Generate OpenAPI/Swagger specification
Generate OpenAPI/Swagger specification for these endpoints: [PASTE CODE]. Include all routes, request/response schemas, and error codes.
Write developer guide section
Write a developer guide section explaining how to authenticate with this API: [PASTE AUTH CODE]. Include: the authentication method, how to obtain credentials, and a working code example in [LANGUAGE].
Document error codes
Document these error codes for our API: [PASTE ERROR HANDLING CODE]. For each error: code, HTTP status, description, and suggested action for the developer.
Write SDK documentation
Write SDK documentation for this function: [PASTE FUNCTION]. Make it consumer-focused: emphasize how to use it, what it returns, and common use cases rather than implementation details.
Use ChatGPT to document system design, data flows, and architectural decisions.
Write architecture overview document
Write an architecture overview document for this system: [DESCRIBE SYSTEM COMPONENTS AND HOW THEY INTERACT]. Include: component descriptions, data flow, and the key design decisions made.
Write Architecture Decision Record
Write an Architecture Decision Record (ADR) for this decision: [DESCRIBE THE DECISION]. Include: context, options considered, the decision made, and the tradeoffs accepted.
Document data model
Document the data model for this schema: [PASTE SCHEMA]. For each entity, describe its purpose, key fields, and how it relates to other entities.
Write runbook
Write a runbook for this operation: [DESCRIBE OPERATION E.G., DEPLOYING TO PRODUCTION / RECOVERING FROM A FAILURE]. Include step-by-step instructions, verification steps, and rollback procedure.
Write troubleshooting guide
Write a troubleshooting guide for the most common issues with [SYSTEM/SERVICE]. Include: symptoms, root causes, diagnostic steps, and resolution for each issue.
Yes, for code it can read. Paste the code and ask for the specific documentation format (docstring, README section, API docs). ChatGPT reads the code structure accurately and produces documentation that matches the implementation.
ChatGPT handles JSDoc, Python docstrings (Google, NumPy, reStructuredText styles), JavaDoc, Markdown READMEs, OpenAPI/Swagger, and plain prose documentation. Specify the format in your prompt.
Work file by file. Ask ChatGPT to document all functions in one file at a time. For the highest impact, start with your public API or most-used utilities. Documenting everything at once is slower than incremental documentation.
Yes. Describe your project, its purpose, and who uses it. ChatGPT will generate a structured README with installation, usage, and contributing sections. Review and add specific details (actual commands, real examples) before publishing.
Focus on public APIs, non-obvious logic, and complex algorithms. Simple, self-documenting functions with clear names need minimal documentation. Ask ChatGPT to identify which functions most need documentation for the highest-value starting point.
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