FreeLLMFloorplan maps codebases with Claude or Codex as GitHub trending repo
It offers an interactive map of an application’s codebase.
It offers an interactive map of an application’s codebase.
Floorplan reads a project, asks Claude or Codex to generate plain‑English names for each part, and draws connections between files, endpoints and external services. The map can be zoomed from the whole app down to a single function.
The tool supports ten diagram types, health checks for common AI‑generated app issues, and a live demo that runs entirely on the user’s machine. It tracks recent changes and highlights AI‑modified code in green.
The repository contains 85 commits and includes documentation, a quick‑start guide, video walkthrough and install instructions. It integrates with Claude Code, Codex, Cursor, Copilot and Gemini CLI.
FreeLLMArena lists Kimi K3 Max, GLM‑5.3, MiMo‑V2.6‑Pro, GLM‑5.3‑Flash and DeepSeek‑V4.1‑Flash‑20260910 as the top free chat models, while Gemini 4 Carbon leads the paid ranking. The timing shows strong interest in AI‑driven development tools.
O que isso significa para você
Developers get a visual overview without reading code, which speeds onboarding and debugging. The map works with Claude and Codex, so teams can use free or locally hosted models. The health‑check feature catches exposed keys, open databases and unsecured webhooks, helping protect apps built with free chat models.
No FreeLLMArena
Dos nossos rankings em 31 out 2026, baseados nas votações às cegas da Arena:
- Kimi K3 (Max): #1 among free chat models
Fontes
- haydenschmitty/floorplan: See how your app actually fits together. An interactive, plain-English map of your codebase, drawn by Claude or Codex., GitHub trending, 27 Oct 2026
Escrito automaticamente a partir das fontes acima, depois verificado pelo nosso código: todo número e nome deve aparecer nelas, e nenhuma frase pode copiar uma fonte. Encontrou um erro? Reporte‑o.
Qual IA você pode usar grátis hoje?
Todo modelo de IA gratuito, classificado por votos humanos cegos, com a memória e velocidade que ele precisa na sua própria GPU.