For this lab, I focused on refactoring my ContextWeaver repo to make the code cleaner, modular, and easier to maintain. The first version worked fine, but much of the logic for argument parsing, file scanning, and output generation was packed into a single file. Refactoring gave me a chance to separate responsibilities, improve naming, and make the codebase ready for testing.
I started by creating a new branch called refactoring from my latest main. My goal was to reorganize the project into smaller modules with clear purposes. I moved command-line parsing into cli.py, kept main.py focused on orchestration, and added scanner.py, filters.py, formatter.py, and utils.py for scanning, filtering, formatting, and shared functions. This made the code easier to navigate and reuse.
Next, I improved naming and reduced redundancy. Functions like should_exclude_dir and estimate_tokens are now self-explanatory, and I replaced global-style logic with properly scoped functions. After each edit, I tested using:
python3 src/main.py . -V -l --tokens --include=.py,.md -o snapshot.txt to confirm everything still worked before committing.
When all improvements were done, I used interactive rebase to squash multiple commits into one clean history. I ran into a few issues: merge conflict markers like <<<<<<< HEAD, import path errors, and zsh expanding wildcards but fixing them helped me understand Git and Python behavior more deeply.
In the end, ContextWeaver (commit-url) became more organized, readable, and scalable. Refactoring taught me that good software design isn’t just about working code, it’s about writing code that’s easy to improve in the future.
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