Release 0.1

For Release 0.1, I created ContextWeaver, a command-line tool that packages the content of a local Git repository into a single text file optimized for Large Language Models (LLMs). The goal is to make it easier to share full project context with ChatG…


This content originally appeared on DEV Community and was authored by kkrishnan10

For Release 0.1, I created ContextWeaver, a command-line tool that packages the content of a local Git repository into a single text file optimized for Large Language Models (LLMs). The goal is to make it easier to share full project context with ChatGPT or other tools without manually copy-pasting many files.

Setup
I started by creating a new GitHub repository with a clear name, adding a README.md and LICENSE file. The README explains what the tool does, how to install it, and examples of usage.

Implemented Features
-CLI Interface: --help, --version, accepts file/directory paths
-File Discovery: can analyze current directory, specific directories, or specific files
-Output Format: includes absolute repo path, Git commit info, project structure, file contents, and summary stats
-Standard Streams: outputs to stdout, errors to stderr
-Error Handling: skips unreadable files and reports them
-Output to File: -o flag saves the context into a .txt or .md file
-Token Counting: --tokens flag gives an estimated token count

Example Usage
-Analyze current directory
python main.py .

-Save output to file
python main.py . -o output.txt

-Estimate token count
python main.py . --tokens

Sample run: main.py generates repo structure, file contents, and metadata in one output.

Reflection
While building this release, I learned:
-How to parse command-line arguments with argparse
-How to use Git commands to pull commit info
-How to walk through directories, skip hidden files, and include file contents
-How to handle large files by truncating output at 16KB

One challenge was deciding what to include vs skip for very large files. I solved this by limiting the file size and adding a truncation note.

This project gave me practice with CLI design, file system operations, and Git integration, while also teaching me the importance of clear documentation.

Links
Repo: https://github.com/kkrishnan10/ContextWeaver
Main script:
https://github.com/kkrishnan10/ContextWeaver/blob/main/src/main.py
README: https://github.com/kkrishnan10/ContextWeaver/blob/main/README.md


This content originally appeared on DEV Community and was authored by kkrishnan10


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kkrishnan10 | Sciencx (2025-09-19T20:55:42+00:00) Release 0.1. Retrieved from https://www.scien.cx/2025/09/19/release-0-1/

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