Codizer is a Rust CLI tool designed to analyze custom //codizer() tags in source code and generate structured documentation. It also uses an AI service to enhance descriptions with technical details, best practices, and complexity assessments.

• Tag Parsing: Extracts information from //codizer() tags within the source code.
• AI-Enhanced Descriptions: Enriches function descriptions using AI, providing comprehensive technical details, best practices, and suggestions.
• Documentation Generation: Automatically creates a Markdown documentation file based on the parsed code comments.

• Rust (version 1.56 or higher)
• dotenv crate to manage environment variables
• clap crate for command-line argument parsing
• reqwest crate for making HTTP requests
• regex crate for parsing tags
• serde crate for serializing and deserializing JSON
• AI Studio API Key for making requests to enhance documentation

1. Clone this repository:

   git clone https://github.com/hacimertgokhan/codizer.git
   cd codizer

2. Install dependencies:

   cargo build

3. Set up your .env file to include your AI Studio API key:

   echo "API_KEY=your_api_key_here" > .env

Codizer can be used from the command line to analyze your source files and generate enhanced documentation.

cargo run -- --input <your_source_file>

• --input or -i: The input source file containing //codizer() tags for analysis.

If you have a file server.js with //codizer() tags:

cargo run -- --input server.js

This will generate a Markdown file named server.js_documentation.md with the parsed documentation and enhanced descriptions.

The //codizer() tag format is as follows:

//codizer(title='Function Title', description='Brief description of the function', developed_by='Author Name')

//codizer(title='Encrypt Data', description='Encrypts data using AES encryption', developed_by='John Doe')

Codizer utilizes the AI Studio API to provide enhanced descriptions. The API response includes:

• Enhanced Descriptions: An AI-enriched version of the description.
• Technical Details: Additional insights about the function.
• Suggestions: AI-driven best practices or improvements.
• Complexity Score: A numeric complexity rating from 1 to 10.

Codizer provides error messages for:

• Missing API keys in the .env file.
• Failed API requests.
• Tag parsing errors if the format is incorrect.