Llama Coder: Open Source Claude Artifacts with Llama 3.1 405B

Llama Coder: Open Source Claude Artifacts with Llama 3.1 405B

Summary

Llama Coder is an innovative open-source project that allows users to generate small applications from a single prompt. Built with Meta's powerful Llama 3.1 405B model and leveraging Together AI for inference, it provides a robust platform for rapid app development. This project offers a glimpse into the future of AI-assisted coding, making complex app creation accessible and efficient.

Repository Info

Updated on October 12, 2025
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Tags

TypeScriptAILLMCode GenerationOpen SourceWeb DevelopmentNext.jsLlama 3.1

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Introduction

Llama Coder is an exciting open-source initiative designed to simplify application development. Inspired by Claude Artifacts, it empowers users to generate functional small applications using just one prompt. At its core, Llama Coder harnesses the advanced capabilities of Meta's Llama 3.1 405B large language model, with inference powered by Together AI. The project is built using a modern tech stack including Next.js, Tailwind, and Sandpack for its interactive code sandbox.

Installation

Getting Llama Coder up and running on your local machine is straightforward. Follow these steps:

  1. Clone the repository: Open your terminal and execute:

    git clone https://github.com/Nutlope/llamacoder

  2. Create a .env file: Navigate into the cloned directory and create a .env file. Populate it with your API keys:

    • Together AI API key: Obtain yours from Together AI and add it as TOGETHER_API_KEY=<your_together_ai_api_key>.
    • CSB API key: Get your key from CodeSandbox and add it as CSB_API_KEY=<your_csb_api_key>.
    • Database URL: Set up a PostgreSQL database, for example, using Neon, and add the Prisma connection string: DATABASE_URL=<your_database_url>.

  3. Install dependencies and run: Install the necessary packages and start the development server:

    npm install
npm run dev

Examples

The primary utility of Llama Coder lies in its ability to generate small applications from a single textual prompt. While specific examples are best explored by running the application, imagine typing a prompt like "Create a simple to-do list app with add and delete functionality" and watching Llama Coder generate the necessary code and structure for a functional application within its Sandpack environment. This capability significantly accelerates prototyping and development workflows.

Why Use Llama Coder?

Llama Coder offers several compelling reasons for developers and innovators to explore it:

  • Rapid Prototyping: Quickly generate functional app snippets or entire small applications from natural language prompts.
  • Cutting-Edge AI: Leverages Meta's powerful Llama 3.1 405B model, ensuring high-quality and relevant code generation.
  • Open Source: The project's open-source nature encourages community contributions and transparency.
  • Educational Tool: Provides an excellent platform to understand how large language models can be integrated into development workflows for code generation.
  • Modern Tech Stack: Built with popular and robust technologies like Next.js and Tailwind, making it familiar for many web developers.

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