Pyscn – Python code quality analyzer for vibe coders
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…
In plain words
Pyscn is a Python code quality analyzer designed for developers using AI coding assistants like Cursor and Claude. It detects common issues that arise from rapid development, including code duplication, dead code, over-engineering, and inconsistent patterns. The tool uses structural analysis techniques such as tree edit distance, control-flow graph analysis, and cyclomatic complexity metrics to identify problems. It's built with Go and tree-sitter, and can be run immediately without installation using uv or pipx.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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!
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