Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
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Updated
May 20, 2026 - Python
Codebase intelligence for AI-assisted engineering teams: 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.
Visualize your Python codebase health and architecture as an auto-updating SVG in your README.
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.
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.
Calculate a health score for any Git repository. Analyzes complexity, docs, tests, deps, and collaboration.
ML-powered code intelligence platform that visualizes repositories as a 3D city with risk and anomaly scoring.
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
🩺 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.
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."