AgenticDeveloper Wiki

Welcome to the AgenticDeveloper project wiki! This wiki provides detailed documentation to help you understand, set up, and contribute to the project. The AgenticDeveloper is a text-based assistant designed to help full-stack developers with tasks like code writing, debugging, and optimization using a Mixture of Experts (MoE) model.

Contents

• Introduction
• Project Structure
• Setup Instructions
• Usage
• Contribution Guidelines
• Future Work
• References

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Introduction

The AgenticDeveloper project is an AI-powered assistant designed to assist full-stack developers with various tasks. The project uses a Mixture of Experts (MoE) model, where a prime agent acts as a full-stack developer and several secondary agents specialize in different tasks.

Project Structure

The project consists of the following key files:

• agent.py: Defines the PrimeAgent and SecondaryAgent classes.
• app.py: Main entry point for running the Gradio interface.
• network.py: Contains functions to create neural network models for text processing and the gating network.
• requirements.txt: Lists the dependencies required for the project.
• train.py: Implements the training and evaluation pipeline.
• interface.py: Sets up the Gradio interface for the chat window and code display.
• README.md: Project documentation and setup instructions.

Setup Instructions

Follow these steps to set up the project on your local machine:

1. Clone the repository:

   git clone https://github.com/Dnnsdesigns/AgenticDeveloper.git
   cd AgenticDeveloper
   

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Run the application:

   python app.py
   

Usage

The AgenticDeveloper provides an interactive Gradio interface with two main components:

1. Chat Window: Where you can interact with the assistant to get code suggestions, debugging help, and more.
2. Code Display Window: Displays the code snippets generated by the assistant.

To use the assistant, enter your request in the chat window and the assistant will respond with suggestions or code snippets based on the input.

Contribution Guidelines

We welcome contributions to the AgenticDeveloper project! Here are some guidelines to help you get started:

1. Fork the repository: Create a fork of the repository on your GitHub account.
2. Clone your fork: Clone the forked repository to your local machine.

   git clone https://github.com/YOUR_USERNAME/AgenticDeveloper.git
   cd AgenticDeveloper
   

3. Create a new branch: Create a new branch for your feature or bugfix.

   git checkout -b feature/your-feature-name
   

4. Make your changes: Implement your feature or bugfix.
5. Commit your changes: Commit your changes with a descriptive commit message.

   git commit -m "Add feature/your-feature-name"
   

6. Push your changes: Push your changes to your forked repository.

   git push origin feature/your-feature-name
   

7. Create a Pull Request: Create a pull request from your forked repository to the main repository.

Future Work

Here are some potential future improvements and features for the AgenticDeveloper:

• Expand to Multimodal Inputs: Add support for image and audio inputs to provide more comprehensive assistance.
• Improve NLP Capabilities: Enhance the natural language processing capabilities of the assistant.
• Add More Specialized Agents: Introduce more secondary agents with specialized skills.
• Optimize Performance: Improve the performance and efficiency of the model.

References

• Hugging Face Datasets
• Gradio Documentation
• TensorFlow Documentation

Thank you for using and contributing to the AgenticDeveloper project! We hope this documentation provides you with all the information you need to get started and contribute to the project.