Llama Coder
VerifiedOpen-source app generator from Together AI that builds small apps from a prompt
Product preview
Llama Coder
What it is
Llama Coder is an open-source project created by Together AI that works much like an artifacts feature in a chat assistant: you describe an app idea, and it generates the code and shows a working preview right away. It started on Meta's Llama models and now lets users pick from open models hosted on Together AI, such as DeepSeek variants. You can attach a screenshot for reference and iterate on the result. The project is built with Next.js and Tailwind, renders previews in a sandboxed iframe, and is published on GitHub under the MIT license, so developers can study the code or run their own copy with a Together API key.
Key features
- Prompt-to-app code generation
- Live in-browser preview
- Choice of open models on Together AI
- Screenshot attachments for reference
What we liked
- + Free to use in the browser
- + MIT-licensed code you can self-host
- + Good showcase of open model coding
Worth noting
- · Best suited to small, single-page apps
- · Self-hosting needs your own API keys
Editor's notes
More context from AI BirdView
For quick app prototyping, Llama Coder offers a friendly way to see what open-source language models can do in practice. Type something like a sourdough timer or an expense tracker, and within moments you get working code and a live preview you can click through, all without installing anything.
- Generates a complete small app from one natural language prompt
- Renders the result in a sandboxed browser preview so you can test it immediately
- Lets you switch between open models served on Together AI
- Accepts screenshots as visual references for the app you want
- Fully open source on GitHub under the MIT license, with clear setup steps
Llama Coder is best for developers, students and tinkerers who want to prototype small ideas fast or learn how a prompt-to-app tool is put together. A practical tip: if you like the generated app, copy the code into your own project early and keep iterating there, since the tool shines for first drafts rather than large, multi-page applications that need routing, databases and authentication.
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