Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
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.
9 quality-canary skills for AI coding agents - code health, gold-standard rules, anti-hallucination grounding, supply chain, resilience, observability, testability, scaling, contract drift. Consent-gated, token-lean, one-button install, works across all major AI coding agents.
Logic-first AI code review via semi-formal execution tracing (Premises → Trace → Divergence → Trigger → Remedy). Catches behavioral bugs, type-contract breaches & async hazards that linters miss. Six skills · Claude Code · Codex CLI · Gemini CLI.
Visualize your Python codebase health and architecture as an auto-updating SVG in your README.
ML-powered code intelligence platform that visualizes repositories as a 3D city with risk and anomaly scoring.
An electric pet. Take care of your TOMO and your codebases at the same time.
Codebase Health Audit Prompt
Claude Code skills that catch AI slop, technical debt & architecture drift before they reach production — plan, rules, audit, fix, docs.
The open code health benchmark — paste any github.com URL, or just replace github.com with stackhealth.dev. Scores security, quality, hygiene & community via a fully open formula. Free forever.
Your private developer-efficiency report from git history — 11 dimensions (DORA / SPACE / CodeScene), local & read-only, narrated by an LLM.
Calculate a health score for any Git repository. Analyzes complexity, docs, tests, deps, and collaboration.
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).
零安裝 AI 專案健檢工具箱 | Zero-install AI health checker. Clone → prompt any AI agent → auto-scan, SWOT analysis, action roadmap.
Local-first Git repository analytics desktop app for code health, contributors, and team activity.
AI-native project harness — architecture map, planning board and health checks for any codebase
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.
Score software projects on AI-readiness: how easily AI agents can understand, modify, and verify code.
Add a description, image, and links to the code-health topic page so that developers can more easily learn about it.
To associate your repository with the code-health topic, visit your repo's landing page and select "manage topics."