Codebot is an intelligent chatbot designed to assist developers with coding tasks, project management, and predictive analytics. Utilizing natural language processing (NLP) and machine learning, Codebot understands and responds to user queries effectively, providing valuable support for development projects.
- Code Assistance: Offers code snippets, explanations, and debugging advice for various programming languages.
- Documentation Lookup: Retrieves relevant documentation for languages and frameworks instantly.
- Project Management: Helps manage tasks, issues, and milestones within your projects seamlessly.
- Tool Integration: Integrates with popular development tools and platforms to enhance productivity.
- Predictive Analytics: Uses MindsDB to provide predictive analytics and insights to help make data-driven decisions.
- Customizable Responses: Tailor the bot's responses to suit specific project needs and preferences.
- Continuous Learning: Improves its responses over time through machine learning algorithms.
Codebot's architecture is designed to be modular and scalable:
- Frontend: Built with React.js, providing an intuitive user interface for interacting with the chatbot.
- Backend: Developed using Node.js and Express.js, handling API requests and integrating with various services.
- Database: Utilizes MongoDB and MindsDB for storing user interactions, project data, and bot configurations.
- NLP Engine: Powered by NLP libraries such as SpaCy or NLTK to process and understand natural language queries.
- Machine Learning: MindsDB integration for predictive analytics and continuous learning capabilities.
To install Codebot locally, follow these steps:
- Clone the repository:
git clone https://github.com/aviralgarg05/Codebot.git
- Navigate to the project directory:
cd Codebot
- Install the necessary dependencies:
npm install
- Start the development server:
npm start
Once the server is running, interact with Codebot through the web interface available at http://localhost:3000
. You can:
- Ask coding questions and receive code snippets, explanations, and debugging tips.
- Request documentation for various programming languages and frameworks.
- Manage project tasks, issues, and milestones.
- Leverage predictive analytics powered by MindsDB for data-driven insights.
Codebot integrates with MindsDB to enhance its predictive capabilities. MindsDB allows Codebot to analyze historical data and provide predictions and insights. This feature helps developers make informed decisions based on data trends and patterns.
- Install MindsDB:
pip install mindsdb
- Start MindsDB server:
mindsdb --api=http
- Connect Codebot to MindsDB by configuring the connection settings in the
config.json
file.
Probot is a framework for building GitHub Apps to automate and improve your workflow. Codebot integrates with Probot to offer enhanced project management capabilities directly within GitHub repositories.
- Install Probot:
npm install -g probot
- Create a new Probot app:
probot create my-first-app
- Configure your Probot app with the necessary permissions and webhooks to interact with your GitHub repository.
- Code Review Predictions: Predict potential issues in code reviews based on historical data.
- Task Completion Estimates: Provide estimates for task completion times based on previous projects.
- Performance Insights: Analyze performance metrics to suggest optimizations.
Click the image above to watch the video.
Open PR Closed PRWe welcome contributions to Codebot! To contribute:
- Fork the repository.
- Create a new branch for your feature or bug fix:
git checkout -b feature/your-feature-name
- Commit your changes with clear messages:
git commit -m 'Add new feature'
- Push the branch to your forked repository:
git push origin feature/your-feature-name
- Open a pull request on the original repository and describe your changes in detail.
Please read our CONTRIBUTING.md for more details on our code of conduct and the process for submitting pull requests.
This project is licensed under the ISC License - see the LICENSE file for details.
For questions or feedback, please open an issue on GitHub or contact the project maintainers at [[email protected]].