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Using AI for Auto-Generation of README Files

Using AI for Auto-Generation of README Files blog article main image

A GPT-Assisted Approach


Leveraging AI models like GPT to generate a README markdown file for a Git project from a project description can have numerous advantages:

  1. Time Efficiency
    Creating a well-structured README file can be time-consuming. AI can automate this process, freeing up developers to focus on core tasks.
  2. Consistency and Quality
    AI can ensure that README files follow a consistent structure and quality across different projects, making them easier to understand and use.
  3. Comprehensiveness
    AI can help ensure all necessary sections, like Installation, Usage, Contributing, and License, are included in the README file.
  4. Better Communication
    By generating clear and detailed README files, AI can help developers communicate more effectively about their projects with users, other developers, and stakeholders.
  5. Improved Project Accessibility
    A well-written README file is essential for open-source projects. AI can help ensure the project is approachable, which can lead to more use, contributions, and collaboration from the community.
  6. Learning and Education
    For novice developers, AI-generated README files can serve as examples of best practices for documenting projects.
  7. 24/7 Availability
    AI doesn't need to rest and can generate README files around the clock, providing constant support to the development team.

Despite these benefits, human review is still crucial to ensure the AI-generated README accurately and effectively communicates the project's purpose, requirements, and guidelines. It's also worth mentioning that the effectiveness of AI in this task largely depends on the quality of the project description provided to the AI.

GPT Prompt

Create a README markdown file suitable for a project under Git. The README should include
the following information and should follow standard practice in terms of the layout of the 
README file:

1. The projects title is "Tiny Web Server"
2. The project implements a very basic web server that can server static files and has a 404 page 
   for unresolved requests.
3. The project is based on Node and is written in Typescript
4. The server can be started using "npm run"
5. The default port used by the server is port 80 however this can be configured.
6. The project uses the following components and libraries:
a. Node 18
b. Express 4.18.2
c. DotEnv 16.03
d. CORS 2.8.5
7. To change the default port (80) you can set the environment variable TINY_PORT prior to 
   running the server
8. The server is open source and is made avialable under the MIT License
9. Include brief descriptions and download links for the components and libraries that are used.
10. The server can be installed using npm (npm install tiny-web-server)

Prompt Overview

To generate a README file using GPT, a well-defined and detailed prompt is crucial.

The prompt should detail the project's information, such as the title, the project's description, 1 the languages or libraries used, instructions for starting the server, and any additional usage details.

Using GPT-4, we can automate the process of README file creation by providing these specifics to the AI.

GPT Response

Tiny Web Server

Tiny Web Server is a basic Node-based web server that serves static files and provides a 404 page for unresolved requests.

It's written in Typescript and can be easily run and configured.

Getting Started

To install Tiny Web Server, simply run the following command:

    npm install tiny-web-server

After installation, you can start the server using:

    npm run

By default, the server runs on port 80. However, you can change this by setting the TINY_PORT environment variable:

    export TINY_PORT=8080

In the example above, the server will now run on port 8080.

Components & Libraries

This project is based on the following components and libraries:

1. Node.js (v18) - Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine. 1. Express (v4.18.2) - Express is a fast, unopinionated, minimalist web framework for Node.js. 1. DotEnv (v16.03) - Dotenv is a zero-dependency module that loads environment variables from a .env file into process.env. 1. CORS (v2.8.5) - CORS is a Node.js package for providing a Connect/Express middleware that can be used to enable CORS with various options.

To install these components and libraries, you need to have Node.js and npm (comes with Node.js) installed on your machine.

You can download Node.js here.


This project is open source and is licensed under the MIT License. See the LICENSE file for details.


If you have any questions or feedback, please open an issue in this repository.

Benefits and Conclusion

Utilizing GPT for automating the generation of README files in Git repositories can greatly reduce the time and effort required by developers.

Was This Helpful?

If you found this blog post helpful, feel free to check out our other blog posts on using AI in software development at the Logobean Blog!

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