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

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.

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

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

An electric pet. Take care of your TOMO and your codebases at the same time.

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.

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

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.

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.

A code quality & coverage analytics toolkit.

Cross-repo audit and maintenance toolkit — reusable detector framework, generic code-health scanners, and operational helpers that consumer repos extend with their own per-repo plugins via .custodian/config.yaml

Codebase Health Monitor — one command to know your codebase health. 21 CLI commands, 8 analysis dimensions, MCP server, SaaS platform.

🩺 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.