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QuantumThreadAI is an AI-powered developer productivity platform that analyzes codebases, visualizes project architecture, tracks GitHub activity, and delivers intelligent insights. It helps developers understand projects faster, monitor progress, identify bottlenecks, and improve workflow efficiency through interactive dashboards.

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QuantumThread-AI

QuantumThread-AI is an AI-first project focused on threaded conversational utilities and tooling. The codebase is primarily JavaScript with some Java components used for specialized modules. This repository provides the core application, utilities, and integration code for building AI-assisted threading and conversational features.

Language composition (approx.)

  • JavaScript: ~86%
  • Java: ~12%
  • CSS + Other: ~2%

🚀 Live Demo

🔗 https://testing.d1r055b08h2njg.amplifyapp.com/

Features

  • AI-assisted conversation threading and utilities
  • Utilities and integrations implemented in JavaScript (Node.js)
  • Optional Java modules for specific components
  • Extensible architecture designed for integrations and custom models

Tech stack

  • Primary: JavaScript (Node.js)
  • Secondary: Java (JDK, Maven/Gradle for Java modules)
  • Styling: CSS for any web UI parts
  • Recommended Node.js version: >= 16

Prerequisites

  • Node.js (>=16)
  • npm or yarn
  • Java JDK (only required if you plan to build/run Java components)
  • Git

Quickstart

  1. Clone the repository

    git clone https://github.com/DUTTAPAARTH/QuantamThread-AI.git
    cd QuantamThread-AI
  2. Install Node dependencies

    npm install
    # or
    yarn install
  3. Start the project (check package.json for exact scripts)

    npm start
    # or for dev mode
    npm run dev
  4. If Java modules exist and need building:

    • Using Maven:
      cd java-module-directory
      mvn clean package
    • Using Gradle:
      cd java-module-directory
      ./gradlew build

Note: Replace java-module-directory with the actual path for Java code if present.


Development

  • Linting

    npm run lint

    (If no lint script exists, configure ESLint / Prettier.)

  • Build (if applicable)

    npm run build
  • Run unit tests (if configured)

    npm test

If tests or scripts are missing, consider adding Jest, Mocha, or another test runner.


Project structure (conventional / suggested)

  • src/ — main JavaScript source files
  • lib/ or dist/ — compiled or built artifacts
  • java/ — Java components (if present)
  • scripts/ — helper tools and scripts
  • README.md — this file

Adjust to match the repository’s actual layout.


Configuration

  • Keep secrets (API keys, tokens) out of the repo.
  • Use .env for environment variables and add .env to .gitignore.
  • Update package.json scripts to reflect project-specific start/build/test commands.

Contributing

Contributions are welcome. Recommended workflow:

  1. Fork the repository.
  2. Create a branch for your change:
    git checkout -b feature/my-feature
  3. Make your changes and add tests where appropriate.
  4. Commit:
    git add .
    git commit -m "Describe your change"
  5. Push and open a pull request to DUTTAPAARTH/QuantamThread-AI:main.

Please include a clear description and, when relevant, tests or examples.


License

No license currently included. Add a LICENSE file (e.g., MIT) if you want to define terms for reuse.


Contact

If you have questions or need clarification, open an issue in the repository or contact the repository owner.


Note: This README is a starting point — update the scripts, commands, and sections to match the actual code and structure in the repository.

About

QuantumThreadAI is an AI-powered developer productivity platform that analyzes codebases, visualizes project architecture, tracks GitHub activity, and delivers intelligent insights. It helps developers understand projects faster, monitor progress, identify bottlenecks, and improve workflow efficiency through interactive dashboards.

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