CodeFlattener is a Node.js tool designed to consolidate your codebase into a single JavaScript file. This single file can then be used to obtain advice from AI tools like ChatGPT. The generated file is not meant to be run as an application but rather to provide a comprehensive view of your codebase for analysis and guidance.

The primary purpose of CodeFlattener is to facilitate obtaining advice from AI tools like ChatGPT. By consolidating your codebase into a single JavaScript file, you can more easily and quickly provide context to AI tools, allowing them to offer more accurate and comprehensive feedback. This tool is especially useful for large projects where understanding the code requires looking at multiple interconnected files.

• Consolidates all JavaScript files into a single file.
• Supports ES modules.
• Resolves and includes imported files.
• Handles aliases specified in package.json.
• Allows excluding specific file types and folders.

To install CodeFlattener globally, run:

npm install -g codeflattener

To use CodeFlattener, navigate to your project directory and run:

npx codeflattener --repo path/to/repo --output path/to/output.js

• --repo: The path to the repository. Defaults to the current directory.
• --output: The path to the output file. Defaults to ./flattened-code.js.
• --entry: The entry point file. Defaults to the main file specified in package.json or ./index.js.
• --include: Comma-separated list of file extensions to include. Defaults to .js,.mjs.
• --exclude: Comma-separated list of file extensions to exclude.
• --excludeFolders: Comma-separated list of folders to exclude.

npx codeflattener --repo ./my-project --output ./flattened-code.js --include .js,.mjs --exclude .test.js --excludeFolders node_modules,dist

The generated JavaScript file is not meant to be run as an application. It is intended to provide a comprehensive view of your codebase for analysis and obtaining advice from AI tools like ChatGPT. Running the generated file as an application will not work as expected.

This project is licensed under the MIT License.