🚀 srcpack - Easily Bundle Your Code for AI

🌟 Overview
srcpack is a zero-config command-line interface (CLI) tool designed for developers. It helps you bundle your code into context files optimized for large language models (LLMs). With srcpack, you can create semantic and domain-focused bundles that make AI-assisted coding easier. You can also upload these bundles to Google Drive if needed.
📥 Download & Install
To get started with srcpack, follow these simple steps:
- Visit the Releases Page: Go to our Releases page to find the latest version.
- Select Your Download: Click on the appropriate version to download the package for your operating system.
- Follow Installation Instructions:
- For Windows users: Open the downloaded
.exe file and follow the on-screen instructions.
- For macOS users: Open the
.dmg file and drag srcpack to your Applications folder.
- For Linux users: Open the terminal and run the provided installation script.
⚙️ System Requirements
Before installing srcpack, make sure your system meets the following requirements:
- Operating System:
- Windows 10 or later
- macOS 10.14 or later
- Any recent Linux distribution
- Memory: At least 4 GB of RAM
- Storage: Minimum of 100 MB free space
- Additional Software: Ensure you have a terminal or command prompt available for running commands.
🚀 How to Use srcpack
Once you have installed srcpack, you can start using it right away. Here’s how:
- Open Your Terminal:
- For Windows: Search for “Command Prompt” or “PowerShell”.
- For macOS: Open “Terminal” from your Applications folder.
- For Linux: Open your preferred terminal emulator.
- Running srcpack:
- Type
srcpack followed by your desired commands.
- For example:
- This command will create a bundle of your code located in the
my-code/ directory.
- Optional Google Drive Upload:
- If you wish to upload your bundle to Google Drive, use the command:
- Follow the prompts to authenticate and select the folder for your upload.
🛠️ Command Options
srcpack supports various command options that help tailor your bundling process:
- bundle: Create a new bundle from the specified directory.
- upload: Upload the generated bundle to Google Drive.
- list: Show all available bundles.
- info: Display information about a specific bundle.
To see all options, run:
📄 Example Usage
Here’s a typical workflow using srcpack:
- Create a folder for your code.
- Open your terminal and navigate to that folder.
- Use
srcpack bundle to create your bundle.
- Optionally, you can upload it using
srcpack upload.
📂 FAQs
What types of files can I bundle?
You can bundle any code files such as .js, .py, .java, or any type of source code. Just specify the folder that contains your code.
How do I update srcpack?
To update srcpack, simply go back to the Releases page and download the latest version. Follow the installation instructions again.
Can I use srcpack without a command line?
Currently, srcpack is a command-line tool, and it requires a terminal or command prompt for operation.
📝 Additional Resources
If you need further assistance or want to learn more about srcpack, check the following resources:
- GitHub Repository: srcpack GitHub
- Documentation: Detailed instructions can be found in the GitHub Wiki.
You can join discussions and seek help from other users on our GitHub Issues page. Your feedback is valuable in making srcpack better.
🛑 Troubleshooting
If you encounter any issues, consider the following tips:
- Ensure your system meets the requirements listed above.
- Make sure you have the correct version for your operating system.
- Check your internet connection if you face issues during upload.
With this guide, you are now prepared to download and use srcpack effectively. Enjoy coding with the help of AI!