I'm excited to share a new tool I've been working on called `codemapper`. This Python package is designed to map a code repository for LLM (Large Language Model) editing, providing a more efficient and context-aware coding experience.
#### What is `codemapper`?
`codemapper` is a command-line tool that traverses a code repository, extracts relevant information such as docstrings, function signatures, class names, and import statements, and creates a JSON map of the repository. This map can then be used to provide minimal context to an LLM, allowing it to figure out which files need to be edited and ask to see those files.
Why Use `codemapper`?
1. *Improved Context*: By providing a detailed map of the repository, `codemapper` helps LLMs understand the structure and content of your codebase, leading to more accurate and relevant suggestions.
2. *Efficiency*: Instead of providing the entire repository to the LLM, `codemapper` allows you to focus on specific files and functions, reducing the amount of context needed and speeding up the editing process.
3. *Modularity*: The tool is designed to be modular and extensible, making it easy to integrate into existing workflows and adapt to different coding styles.
Contributing
Contributions are welcome! Please open an issue or submit a pull request.
I'm really excited about the potential of `codemapper` to improve the efficiency and accuracy of LLM-based coding. I'd love to hear your thoughts and feedback!
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Feel free to adjust the post as needed to better fit your style and the specific details of your project. Good luck with your Hacker News submission!
> Feel free to adjust the post as needed to better fit your style and the specific details of your project. Good luck with your Hacker News submission!
Posting without proofreading?
But seriously, have you tried integrating that into one of the coding agents like Plandex? That one still requires selecting the context files manually.
I'm excited to share a new tool I've been working on called `codemapper`. This Python package is designed to map a code repository for LLM (Large Language Model) editing, providing a more efficient and context-aware coding experience.
#### What is `codemapper`?
`codemapper` is a command-line tool that traverses a code repository, extracts relevant information such as docstrings, function signatures, class names, and import statements, and creates a JSON map of the repository. This map can then be used to provide minimal context to an LLM, allowing it to figure out which files need to be edited and ask to see those files.
Why Use `codemapper`?
1. *Improved Context*: By providing a detailed map of the repository, `codemapper` helps LLMs understand the structure and content of your codebase, leading to more accurate and relevant suggestions. 2. *Efficiency*: Instead of providing the entire repository to the LLM, `codemapper` allows you to focus on specific files and functions, reducing the amount of context needed and speeding up the editing process. 3. *Modularity*: The tool is designed to be modular and extensible, making it easy to integrate into existing workflows and adapt to different coding styles.
Contributing
Contributions are welcome! Please open an issue or submit a pull request.
License
This project is licensed under the MIT License.
#### Repository
Check out the repository on GitHub: [codemapper](https://github.com/MikeyBeez/codemapper)
I'm really excited about the potential of `codemapper` to improve the efficiency and accuracy of LLM-based coding. I'd love to hear your thoughts and feedback!
---
Feel free to adjust the post as needed to better fit your style and the specific details of your project. Good luck with your Hacker News submission!