Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

A dashboard for monitoring code debt in a git repository.

Temporal Code Intelligence platform. Time-series complexity analysis across Python, JavaScript, Java, and Go. Linear regression trend detection, cyclomatic complexity tracking, confidence scoring, and predictive decay forecasting.

Stop shipping AI slop. Detects empty functions, fake documentation, and inflated comments in AI-generated code. Production-ready.

🌊 AI-powered open source collaboration tool. Interactive CLI to generate contributor guides and visualize technical debt as StarMaps. Lower barriers, boost productivity. 🌊 AI 驱动的开源协作工具。交互式 CLI 生成贡献者指南和技术债务星图。降低门槛，提升效率。

Turn software architecture into versioned and queryable data

Find code hotspots before they find you — LLM + static analysis + Git churn

This is a tool written in python that calculates software quality metrics and then technical debt. It is specifically aimed at OOP Python softwares.

Detect architectural erosion from AI-generated code. Static analyzer for pattern fragmentation, architecture violations & mutant duplicates.

A semantic analysis tool for debugging COBOL code

The Intelligent Code Refactoring Transformer for Python

✨ Instantly modernize any Python repository. Zero-effort linting, typing, and UV integration.

Python test assertions watching when an issue is closed and failing a test to let you know fixed functionality is available.

A game-theoretic model of technical debt.

Your friendly Python Path Converter

Technical debt happens when low code quality slows new developments : you have to pay time interests. TechDebt allows you to quantify and track your technical debt.

Determine the technical debt for a Software Bill of Materials (SBOM)

A Python tool for detecting code duplications and code quality issues in your projects. Replicheck analyzes your codebase to identify similar or identical code blocks, high complexity functions, large files/classes, and TODO/FIXME comments, helping you maintain code quality and reduce redundancy.

Resources for online course Python code quality created in 2024 for Skillmea.sk portal.