Ill give you context with prompts. Take all in context but only do the first step: ## Coding AI Prompts

**1. User Interface Creation**

```
Create a chat interface using [preferred framework e.g., React, Vue.js]. It should have a clean design with an input field for user text, a button to send the text, and a display area for conversation history, including user inputs and AI responses. 
```

**2. Multi-Tab Functionality**

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Extend the interface with a multi-tab structure. There should be three tabs: **"Code Generation", "File Explorer", and "Software Preview"**. Each tab should have its own distinct content area. Make sure the UI is responsive across different screen sizes.
```

**3. Real-time Code Display**

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Within the "Code Generation" tab, add a component to display code in real-time as it's generated. The component should support **syntax highlighting** for popular programming languages like **JavaScript, Python, and Java**. Ensure the code is formatted for readability with appropriate indentation and line breaks.
```

**4. File System Visualization**

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Develop a "File Explorer" tab that visually represents the file system. It should display folders and files in a **tree-like structure**. Implement functionalities for users to navigate folders, open files (which would display the code in a separate editor-like component), create new files/folders, rename and delete them.
```

**5. Dynamic Software Preview**

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In the "Software Preview" tab, embed a component capable of rendering web content. This component should dynamically update in real time to display the software being developed based on the code generated in the "Code Generation" tab.
```

**6. AI Backend Development**

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Develop an AI backend using **Python** and a suitable **natural language processing** library (like **spaCy** or **NLTK**). This AI should be capable of:
    - Understanding natural language instructions related to coding.
    - Generating code in various programming languages based on the instructions. 
    - Accessing and utilizing a designated directory on the user's system to create, read, update, and delete files and folders. 
```

**7. Frontend-Backend Integration**

```
Connect the frontend interface with the AI backend. When a user enters instructions in the chat interface and hits send:
    - Send the user input to the AI backend for processing.
    - Display a **loading state** while waiting for the AI's response.
    - Once the AI responds, display the generated code in the "Code Generation" tab and update the "File Explorer" and "Software Preview" tabs accordingly.
```

**8. Code Quality and Standards**

```
Train the AI on a **large dataset of well-structured and efficient open-source code**. This will allow the AI to:
    - Generate code that adheres to **common coding conventions and best practices**.
    - Use **meaningful variable and function names**.
    - Write **clean, well-documented, and maintainable code**. 
```

**9. Open-Source Resource Utilization**

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Enable the AI to access and utilize **free and open-source tools, libraries, and APIs**. This could be achieved by:
    - Providing the AI with a list of relevant APIs and libraries along with their documentation.
    - Allowing the AI to access and query online repositories like **GitHub** to find suitable open-source code snippets and libraries.
```

**10. Project Templates**

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Create a set of **predefined project templates** for common software projects (e.g., a simple website, a to-do list app, a basic game). The user should be able to select a template, and the AI should generate the basic file structure and boilerplate code for that template.
```

**11. User Feedback Integration**

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Implement a system where users can provide feedback on the generated code. This could include:
    - Allowing users to **upvote/downvote** code snippets.
    - Providing a text box for users to write comments or suggest improvements. 
    - Use this feedback to further **train and refine** the AI's code generation capabilities.
```

**12. Version Control System Integration**

```
Integrate a **version control system** (like **Git**) into the tool. 
    - When a new project is started, initialize a Git repository.
    - Automatically commit changes made by the AI with **descriptive commit messages**.
    - Provide a **visual representation** of the commit history.
```

**13. User Preferences and Customization**

```
Allow users to customize their experience by:
    - Setting their **preferred programming language(s)**.
    - Choosing a **coding style** (e.g., indentation spaces). 
    - Selecting a **light or dark theme** for the interface.
```

**14. Documentation and Tutorials**

```
Develop **comprehensive documentation** that includes:
    - A **"Getting Started" guide** explaining the basic concepts and how to use the tool.
    - **Tutorials** demonstrating how to build different types of applications using the tool.
    - A **FAQ section** addressing common questions and issues.
```

**15. Open-Source Development Model**

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**Open-source the entire project**, making the codebase publicly available on a platform like **GitHub**. This will encourage **community contributions, bug reports, and feature requests**, leading to continuous improvement and innovation. 
```