Hari ini, pada tengah malam, saya telah melakukan sesuatu yang tidak pernah lakukan sebelum ini; iaitu, untuk menerbitkan program saya, gimme_readme kepada pendaftar npm untuk digunakan oleh seluruh dunia!

Alat baris perintah gimme_readme mengambil fail kod sumber setempat pengguna dan menggunakannya untuk mencipta fail README.md yang menerangkan kod mereka. gimme_readme membolehkan anda memilih API AI yang berbeza (cth., model Gemini-1.5-flash Gemini & model llama3-8b-8192 Groq) untuk menganalisis kod yang disediakan dan membuat dokumentasi yang menerangkan kod.

Untuk mengetahui lebih lanjut tentang gimme_readme, saya menjemput anda untuk menyemak repositori saya di bawah, atau menonton demo keluaran untuk 0.1 yang turut dipautkan dalam repositori saya.

Table of Contents

1. Developing gimme_readme
2. Getting started with gimme_readme
3. Features of gimme_readme
4. Example usage
5. Conclusion
6. Links

Developing gimme_readme

"Stand on the shoulders of giants"

This quote echoed in my head as I was creating my command-line tool since I know very well that without the work of many other companies and distinct individuals, I would not be able to release my own project.

To that end, let me delve into some of the technologies I used to create gimme_readme.

To start, I knew I wanted to work with JavaScript because of its simple syntax, and its ability to run on Linux, Mac, and Windows. Since cross-platform availability is something I value, I knew I wanted to work with JavaScript from the start.

After choosing JavaScript as the programming language I'd write in, I thought about how I would publish my code. The first thought that came to mind was npm. npm or the node package manager is the largest open source registry in the world. People from around the world use code from npm and share their code to npm and the process of using npm is very straightforward.

When I started my computer science journey in 2022, I was fascinated with how easy it was to just write:

npm i NPM_PACKAGE

and my code would magically work. I was even more impressed when I found out that the packages that were installed (if they were maintained correctly), were able to be installed on different operating systems.

To show you how easy node / npm's ecosystem is, let me show you how easy it is to make your JavaScript code into an executable that runs on every operating system.

You can make your script executable by adding a line similar to this to your package.json file:

{
  "bin": {
    // Makes an executable called "gr-ai" which simply calls my JS script
    "gr-ai": "./src/_gr.js"
  }
}

How neat is that? With just a few lines of code (minus my comment), you are halfway done with making an executable called gr-ai which calls ./src/_gr.js that can run on all operating systems.

The final piece of the puzzle for making an executable is simulating how you would publish your code OR publishing your code for real.

To simulate publishing your code, run the following command in the root of your JavaScript project (i.e., where your package.json is):

npm link

This command simulates you having installed your program globally and will give you access to your own gr-ai command!

In the event that you no longer want to have the code for this command installed globally (whether it be your simulated code / code that you installed globally via npm), you can run:

npm uninstall -g gimme_readme

Please note, that you need to specify the name of your package when uninstalling and not the name of your executable.

I had to simulate publishing my code several times before actually publishing it to npm. For a really good guide on publishing your code to the npm registry, I suggest watching Web Dev Simplified's video on creating and publishing your first npm package.

With direction on how I'd publish my code, I was able to start thinking about all the different dependencies I would need to get my program to work.

The dependencies and packages I'm currently using for gimme_readme are:

• @google/generative-ai & groq/sdk, which give me access to different LLMs that will help explain the user's source code
• commander, which made it easy to configure the different options of my command-line tool
• chalk, which allows me to colourize my command-line text
• dotenv, which helps me work with secret files that store sensitive information
• ora, which gives code that produces a loading spinner

It was with these great APIs and libraries that I was able to produce a tool of my own. With that said, let me show you how you can get started with gimme_readme so you can make heads or tails of your local source code files.

Getting started with gimme_readme

To get started with gimme_readme, follow these steps:

1. Install the latest version of Node.js for your operating system

The download for Node.js can be found here: https://nodejs.org/en/download/package-manager.

Node.js will come with npm and allow you to install gimme_readme.

2. Run the following command to install gimme_readme globally

npm i -g gimme_readme

NOTE: MAC/LINUX users may need to run sudo npm i -g gimme_readme

3. Generate a configuration file by running in any folder you'd like

gr-ai -c

This command creates a .gimme_readme_config file in your home directory. Do not move this file from this location.

Follow the instructions in the file to create your own API keys and set your own default values.

Congratulations! You just installed gimme_readme to your system and if you created your own API keys, you should be able to use gimme_readme on the command-line!

With installation out of the way, let's delve into how you can use gimme_readme.

Features of gimme_readme

At a top level, gimme_readme supports the following features:

1. The ability to display a help page.
2. The ability to get gimme_readme's version number.
3. The ability to create a .gimme_readme_config file or locate it
4. The ability to send it source files, and have an AI model provide an explanation for your source code files.
5. The ability to choose where the AI model's explanation is outputted (i.e., to a file or to your terminal).
6. The ability to specify the AI model that provides explanations for you.
7. The ability to send your own custom AI prompt.
8. The ability to set the temperature of your model (i.e., how deterministic you want your model's response to be).

Let's show you demonstrations of each feature.

Example usage

Display the help page

The most basic gimme_readme command is:

gr-ai

This shows us how use gr-ai and its different options.

Display the version number

Providing the -v option to the gr-ai command returns the version number

gr-ai -v

Create a .gimme_readme_config file or find the path to your existing one

gr-ai -c

Takes several input files, choose your LLM of choice, and outputs the selected LLM's response to a file

#         file            file         model               output file
gr-ai -f .prettierignore .gitignore -m gemini-1.5-flash -o explain.md

Conclusion

If you made it this far, I'd like to thank you for giving this blog a read. Creating the 0.1 release of gimme_readme has been a great experience, and I’m excited to continue developing new features and improving the tool. If you're interested in trying it out or contributing, feel free to check out the GitHub repository.

Stay tuned for more updates in the coming weeks!

Links

• GitHub Repository: gimme_readme
• Demo Video: Watch the 0.1 Release Demo

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