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Prompt

Wow. Impressive template. Mostly, though, I'm just asking Claude to develop Python programs which tend to be a single file rather than a codebase. I'm wondering if perhaps we could simplify the template a little to accommodate this need?

Output

Certainly! I apologize for overlooking that important aspect. Let's modify the structure to include a dedicated space for storing different versions of your script. Here's an updated template that incorporates version storage:

project-root/
│
├── ai/
│   ├── prompts/
│   │   ├── initial.txt
│   │   └── refinements/
│   │       ├── refinement_1.txt
│   │       └── refinement_2.txt
│   │
│   ├── responses/
│   │   ├── response_1.py
│   │   └── response_2.py
│   │
│   └── versions/
│       ├── v1/
│       │   └── main_v1.py
│       ├── v2/
│       │   └── main_v2.py
│       └── current/
│           └── main.py
│
├── data/
│
├── tests/
│
├── docs/
│
├── .gitignore
└── README.md

Explanation of Changes

  1. ai/versions/: This new directory is dedicated to storing different versions of your script.
  2. Each version gets its own subdirectory (v1, v2, etc.).
  3. The current/ subdirectory always contains the latest working version.
  4. ai/responses/: Renamed files to response_1.py, response_2.py, etc., to differentiate them from versioned scripts.

Best Practices for Version Management

  1. Version Naming:
  2. Use a consistent naming convention for version folders (v1, v2, v3, etc.).
  3. Name script files consistently within version folders (e.g., main_v1.py, main_v2.py).
  4. Current Version:
  5. Always keep the most up-to-date, working version in the current/ folder.
  6. Update README.md to reflect which version is current.
  7. Version Documentation:
  8. Consider adding a changelog.md file in the ai/versions/ directory to track major changes between versions.
  9. Add comments at the top of each versioned script explaining key features or changes.
  10. Version Control Integration:
  11. Use Git commits to capture the creation of new versions.
  12. Consider using Git tags to mark significant versions (e.g., git tag -a v1.0 -m "Version 1.0").
  13. Transitioning Versions:
  14. When moving from a response to a version, copy the file from ai/responses/ to the appropriate version folder in ai/versions/.
  15. Make any necessary adjustments or refinements in the versioned file.
  16. Testing Versions:
  17. If you create version-specific tests, consider adding a tests/ subdirectory within each version folder.

This structure allows you to maintain a clear history of your script's evolution while keeping the current working version easily accessible. It provides a good balance between organization and simplicity, suitable for single-file Python projects developed with AI assistance.