🚀 CodeScape3D: Solving State Synchronization in Algorithm Visualization
The main challenge in developing CodeScape3D was synchronizing global state management between real-time algorithm visualization and code execution feedback. As technical leader of the project, I designed an architecture that allowed maintaining coherence between multiple interactive components while executing complex graph theory algorithms. This project was presented at HCI International 2024 in Washington DC, representing a significant advance in interactive educational tools.
🏗️ Architecture and Technology Stack
The complexity of synchronizing dynamic visualizations with real-time code execution required specific architectural decisions:
Main Stack:
- Frontend Framework: React 18 with Vite for bundling optimization
- State Management: Redux Toolkit with custom middleware
- UI Components: Material UI with advanced customization
- Animations: Animate CSS integrated with React Transition Group
- Testing: Jest with coverage > 80%
Key Technical Solution: The central problem was maintaining synchronization between the 3D visualization state and the algorithm execution state. I implemented a distributed state management pattern using Redux Toolkit, where each algorithm action triggers coordinated updates in both the visualization engine and the feedback system.
💡 Technical Leadership and Development
As development team leader, I coordinated the implementation of:
- Modular architecture with clear separation between visualization logic and algorithm engine
- Plugin system for different types of graph algorithms
- CI/CD pipeline with automated testing and deployment on Netlify
- Complete technical documentation to facilitate team contributions
The methodology included 2-week sprints with mandatory code reviews and pair programming for critical components.
🎯 Results and Academic Recognition
The project achieved:
- Successful presentation at HCI International 2024, one of the most prestigious conferences in human-computer interaction
- Functional platform with multiple implemented graph algorithms
- Intuitive interface that reduces the learning curve for complex concepts
- Academic recognition for innovation in educational tools
🔗 Technical Demo and Documentation
- Live Demo - Experience the complete platform
- Technical Poster - Implementation details and results