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react agent

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Basic Information

ReactAgent is an experimental open-source autonomous LLM agent that generates and composes React components from user stories using the OpenAI GPT‚Äë4 model. It is built with React, TypeScript, TailwindCSS, Radix UI and Shadcn UI and provides both a backend generation pipeline and a frontend sandbox to render outputs. The repository includes scripts and examples to run a backend generator that converts user stories into JSON and component code, and a frontend app to preview generated components. It also provides documentation, architecture notes and configuration examples for local component folders and environment variables. The project is intended for developers who want an automated way to prototype UI by turning product requirements or user stories into scaffolded React components.

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1623
App URL
https://github.com/eylonmiz/react-agent
Github Repository
https://github.com/eylonmiz/react-agent/blob/main/README.md

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App Details

Features
Generates React components from detailed user stories and composes new components from existing local design-system components. Uses atomic design principles and supports TypeScript, TailwindCSS, Radix UI and Shadcn UI conventions. Provides a backend generation script and a frontend demo app with example GenReactApp.tsx to render results. Includes configurable workflows via backend/main/react-agent/generateComponents.ts and environment-driven folder locations for UI_COMPONENTS_DIR, DEMO_COMPONENTS_DIR and LOCAL_COMPONENTS_DIR. Converts user stories into a JSON intermediate representation as part of the flow and offers docs, architecture diagrams and demo recordings to illustrate component generation and feature flow.
Use Cases
Helps developers prototype UI faster by automating the translation of PRDs or user stories into scaffolded React components and demo pages, reducing manual boilerplate work. The repo supplies a stepwise generation workflow so users can run and review each step, customize folder structure and integrate a local design system. It includes quickstart commands, environment configuration guidance and example demo files to iterate on generated components. The README documents limitations and recommends human review and testing of outputs, notes GPT‚Äë4 is required for best results, and highlights that the tool is intended for prototyping rather than production-ready code.

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