LlamaCoder tutorial: generate and export React apps
Learn LlamaCoder's prompt-to-app workflow, including React and TypeScript generation, live previews, ZIP export and screenshot input.
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This tutorial introduces LlamaCoder, an open source coding assistant available through a Together AI website. The speaker selects a model and result quality, then submits a prompt to generate an application. The walkthrough describes GLM as the default and shows other model choices, including MiniMax and Qwen 3 Coder.
The examples include an image-to-PDF application and a Google-style search interface. Generated files appear in an editor that the speaker compares to VS Code. The output uses React and TypeScript, with a live preview alongside the code. The tutorial also demonstrates downloading the project as a ZIP file and describes publishing an application with a unique URL.
For readers interested in a self-hosted workflow, the speaker says the GitHub repository can be cloned and the tool run locally. The video does not provide installation commands or hardware requirements. It identifies Together AI as the underlying platform, so running the app locally does not establish that model inference works offline.
The speaker also describes screenshot-to-code input and an error-fixing option that adjusts the code and reruns the application. Claims that the hosted service is free, unlimited and requires no login are the speaker's account, rather than verified service guarantees.