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Show HN: Pyscn – Python code quality analyzer for vibe coders

(github.com)
136 points d-yoda | 2 comments | 05 Oct 25 13:22 UTC | HN request time: 0.402s | source

Hi HN! I built pyscn for Python developers in the vibe coding era. If you're using Cursor, Claude, or ChatGPT to ship Python code fast, you know the feeling: features work, tests pass, but the codebase feels... messy.

Common vibe coding artifacts:

• Code duplication (from copy-pasted snippets)

• Dead code from quick iterations

• Over-engineered solutions for simple problems

• Inconsistent patterns across modules

pyscn performs structural analysis:

• APTED tree edit distance + LSH

• Control-Flow Graph (CFG) analysis

• Coupling Between Objects (CBO)

• Cyclomatic Complexity

Try it without installation:

  uvx pyscn analyze .          # Using uv (fastest)
  pipx run pyscn analyze .     # Using pipx
  (Or install: pip install pyscn)
Built with Go + tree-sitter. Happy to dive into the implementation details!
1. ok123456 ◴[05 Oct 25 18:19 UTC] No.45483847[source]▶
I ran these on some (non-vibe-coded) large repositories of my code that I'm not too proud of, and it gave me an A. I feel validated.
replies(1): >>45490600 #
2. d-yoda ◴[06 Oct 25 12:26 UTC] No.45490600[source]▶
Haha, maybe your code is better than you think! But seriously, we'd love to hear if the thresholds feel too lenient. Feedback welcome!