Agent Skill for code and test smell audits. Evidence-ranked findings from Refactoring, Clean Code, and the test-smell literature. Formerly pragmatic-code-review.
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Updated
Aug 29, 2026 - Python
Agent Skill for code and test smell audits. Evidence-ranked findings from Refactoring, Clean Code, and the test-smell literature. Formerly pragmatic-code-review.
Automated quality checks that nudge AI coding agents toward better habits
`dslinter` is a pylint plugin for linting data science and machine learning code. We plan to support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas and NumPy.
Source code for "An Empirical Study of Code Smells in Transformer-based Code Generation Techniques".
Simpler Transfer Learning (Using "Bellwethers"). ARXIV link: https://arxiv.org/abs/1703.06218
A Machine-learning Based Ensemble Method for Anti-patterns Detection
A Python toolkit to help developers write professional-grade, maintainable, and clean code following clean code principles.
A tool to measure and compare the energy consumption of code variants.
Example projects illustrating Code Smells in order to apply Refactoring techniques.
Tips for a clean code and SOLID architecture
MIRROR of https://codeberg.org/catseye/yucca : A dialect-agnostic static analyzer for 8-bit BASIC programs
Three domain-specific code quality assurance tools for Claude Code — generic, AI/ML, and quantitative trading. Based on Clean Code heuristics.
Python code smell detector & refactoring guide — 82 patterns, 55 AST checks, zero dependencies. Works as Agent Skills plugin, PyPI package, GitHub Action, or pre-commit hook.
Context-aware code smell detection platform integrating a DSL interpreter, metric analysis, and asynchronous event-driven processing.
A Python AST visualizer & static analyzer.
CIT 411 Module 2 assignment using AI to review Python code smells, data-structure choices, loop patterns, and refactoring decisions.
🧀 The command line tool that detects code smells for refactoring
A systematic literature review on the code smells datasets and validation mechanisms
Reverse-engineer any Python codebase into an interactive architecture knowledge graph with AI-powered layer detection, community discovery, and living documentation
This repository is intended to present the refactoring of the payroll project.
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