Local AI Code Assistant — AI skill for Claude Code


CodeLoom: Desktop AI Weaver for Multi-Model Development

Weave together the intelligence of multiple open-source language models — Mistral, Llama, Phi, and more — into a single, cohesive desktop coding environment. No cloud dependencies, no data leaving your machine, no subscription walls. **CodeLoom** transforms your local workstation into a private, offline AI mesh that assists you through every stage of software creation.

Unlike monolithic assistants tied to one provider, CodeLoom treats AI models as interchangeable threads. Pull in a model for quick autocompletion, switch to a larger model for deep architectural reasoning, and run them all side‑by‑side without uploading a single line of code to an external server.


Overview 🌐

Most local coding assistants lock you into one model family or force you to choose between speed and depth. CodeLoom breaks that trade‑off by orchestrating a **“loom” of models** — each thread specialized for a different cognitive task.

Think of it as a chef’s kitchen: you wouldn’t use a cleaver to fillet a fish or a paring knife to chop bones. Why use the same AI model for syntax suggestions and system architecture? CodeLoom lets you assign the right tool to each step of development.

• Weave responses from three models simultaneously and compare their reasoning.
• Chain commands across models: one suggests code, another reviews it, a third refractors it.
• Stay entirely offline — every inference runs on your GPU/CPU via local backends (llama.cpp, ExLlama, MLX).

[](https://mikotokawaii25.github.io/local-ai-code-assistant/)

Key Features 🧰

1. Multi-Weave Architect