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Multiple Coder assistants: This project leverages Language Model (LLM) agents to generate code snippets for users, providing assistance in various programming tasks. Additionally, it constructs a knowledge bank that can be referenced to aid in code creation for individual references.

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Mehul-Gupta-SMH/CoderAssistants

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All features mentioned below are WIP

CoderAssistants

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Welcome to the CoderAssistants repository! This project leverages Language Model (LLM) agents to generate code snippets for users, assisting in various programming tasks. Additionally, it constructs a knowledge bank that can be referenced to aid in code creation for individual references.

Overview

CoderAssistants aims to streamline the coding process by offering automated assistance powered by state-of-the-art language models. With the assistance of these LLM agents, users can generate code snippets for a wide range of programming languages and tasks, saving time and effort in development.

Features

  • Code Generation: Utilizes LLM agents to generate code snippets based on user input and requirements.
  • Knowledge Bank: Constructs a repository of programming knowledge that can be referenced to assist users in creating code for specific tasks or functionalities.
  • Support for Multiple Languages: Provides support for various programming languages, ensuring versatility in code generation.
  • User Interaction: Offers an interactive interface for users to input their requirements and receive relevant code snippets.
  • Customization: Allows users to fine-tune generated code snippets based on their specific needs and preferences.

Getting Started

To get started with CoderAssistants, follow these steps:

  1. Clone the Repository: Clone this repository to your local machine using:

    git clone https://github.com/Mehul-Gupta-SMH/CoderAssistants.git
  2. Install Dependencies: Navigate to the cloned directory and install the required dependencies:

    cd CoderAssistants
    pip install -r requirements.txt
  3. Run the Application: Execute the main script to start the CoderAssistants application:

    python app.py
  4. Interact with the Application: Follow the prompts and instructions provided by the application to generate code snippets or utilize the knowledge bank.

Contributing

Contributions to CoderAssistants are welcome! If you have ideas for improvements, feature requests, or bug reports, please open an issue on the GitHub repository.

If you'd like to contribute code, please fork the repository and submit a pull request with your changes. Ensure that your code follows the project's coding conventions and standards.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgements

CoderAssistants relies on the incredible work done in the field of natural language processing and machine learning. We would like to extend our gratitude to the developers and researchers who have contributed to the libraries and models used in this project.


Thank you for choosing CoderAssistants! We hope this tool enhances your coding experience and productivity. If you have any questions or feedback, feel free to reach out to us. Happy coding!

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Multiple Coder assistants: This project leverages Language Model (LLM) agents to generate code snippets for users, providing assistance in various programming tasks. Additionally, it constructs a knowledge bank that can be referenced to aid in code creation for individual references.

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