# Welcome to ReactAgent

## Overview

ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.

It is still experimental but very interesting results, It is completely open-sourced, looking for contributors!

### [🚀 Features](http://localhost:3000/#-features) <a href="#features" id="features"></a>

* Generate React Components from user stories
* Compose React Components from existing components
* Use a local design system to generate React Components
* Use React, TailwindCSS, Typescript, Radix UI, Shandcn UI
* Built with Atomic Design Principles

## Quick links

{% content-ref url="overview/what-we-do" %}
[what-we-do](https://docs.reactagent.io/overview/what-we-do)
{% endcontent-ref %}

{% embed url="<https://github.com/eylonmiz/react-agent>" %}

## Get Started

We've put together some helpful guides for you to get setup with our product quickly and easily.

{% content-ref url="overview/getting-started" %}
[getting-started](https://docs.reactagent.io/overview/getting-started)
{% endcontent-ref %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.reactagent.io/welcome-to-reactagent.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
