Llama Coder

Llama Coder is a Together AI web tool that generates apps from a plain-language prompt, with a model selector and an Attach option. Suited to quick prototypes, demos and small projects by beginners and developers.

Llama Coder is a browser-based app generator that turns a plain-language idea into a working application. The landing page is built around a single prompt box beneath a headline about turning an idea into an app. Next to the box sit a model dropdown, which currently shows DeepSeek V4.1 Flash, and an Attach control for adding material to a request. The page title and meta description still mention Llama 3.1 405B, which points to the project's origins as a showcase for that Meta model, even though other models are now selectable. The tool is run by Together AI, which is credited on the homepage alongside a claim of more than 1.1 million users. A row of example prompts (Sneaker Drop, Expense Tracker, Sourdough, Team Chat, Beat Maker and Palette) shows the kind of project it is aimed at: small storefront pages, trackers, chat interfaces and creative utilities rather than large multi-service systems. In practice, a user describes the app in a sentence or two, optionally attaches supporting material, chooses a model and submits the request. The generated app is the result. The homepage says nothing about export formats, hosting, version history or manual code editing, so those workflows need to be checked inside the product before committing to it for real work. The audience is broad. Beginners and non-developers can get a first version of an idea without writing code, designers and founders can use it to produce a quick visual prototype for discussion, and developers can use the output as a starting scaffold. Among prompt-to-app builders, Llama Coder stands out for its minimal interface, its visible choice of underlying model and its backing by an inference provider rather than an independent startup. It is a better fit for fast experiments and demos than for production software that needs authentication, databases, team collaboration or long-term maintenance, areas where more full-featured app platforms and conventional coding assistants are the stronger options.