AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix

Zero-dependency codebase intelligence for AI agents and humans. Static analysis → structured Markdown → readable by any LLM. 8 code health agents included.

Visualize your Python codebase health and architecture as an auto-updating SVG in your README.

Codebase Health Audit Prompt

Score software projects on AI-readiness: how easily AI agents can understand, modify, and verify code.

Visualize any GitHub repository’s architecture in seconds. Explore dependencies, blast radius, security issues, and code health with zero setup.

Interactive codebase health audit. 8 dimensions: Architecture, Security, Performance, Maintainability, Testing, Docs, Dependencies, Quality. Zero dependencies.

(WIP) Lightweight, self-hosted C# code-health monitor (ML-trained trend detector).

Calculate a health score for any Git repository. Analyzes complexity, docs, tests, deps, and collaboration.

Auditoría técnica para proyectos de larga duración y arquitecturas multitecnología. Detecta archivos muertos, mapea dependencias y genera un score de salud estructural — sin tocar tu código.

Node.js CLI: Calculate a health score for any Git repository

ML-powered code intelligence platform that visualizes repositories as a 3D city with risk and anomaly scoring.

Audit code health with AI using evidence-based checks, risk metrics, and prioritized findings for clear refactor decisions

🩺 AI-powered repository health analysis tool. Automated code quality checks, bloat detection, onboa rding guides, and security audits using GitHub Copilot CLI. Zero configuration required.

A code quality & coverage analytics toolkit.

Diagnose project setup issues before they break

Cultivating software in proportion. A slow, read-only practice for stewarding code portfolios over time.