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Task Management Application

ReactNode.jsMongoDBSocket.ioTailwind CSS
Task Management Application

Overview

A collaborative task management application featuring real-time updates, drag-and-drop functionality, and team collaboration tools. The application provides an intuitive Kanban board interface with support for multiple projects, task assignments, and progress tracking.

Challenge

The primary challenge was implementing real-time synchronization across multiple users without performance degradation. The application needed to handle concurrent updates, maintain data consistency, and provide instant feedback for drag-and-drop operations across different user sessions.

Solution

Implemented a WebSocket-based architecture using Socket.io for real-time bidirectional communication. Created a custom drag-and-drop system with optimistic updates and conflict resolution. Used MongoDB for flexible document storage and efficient querying of nested task structures.

Implementation

Technical Architecture

  • • React with custom hooks for state management and real-time updates
  • • Node.js/Express backend with RESTful API endpoints
  • • Socket.io for WebSocket connections and real-time synchronization
  • • MongoDB with Mongoose ODM for flexible data modeling
  • • React Beautiful DnD for drag-and-drop functionality
  • • JWT authentication with refresh token rotation
  • • Tailwind CSS for responsive design and custom components

Results

50ms
Average sync latency
500+
Active users
35%
Productivity increase

The application successfully handles real-time collaboration with minimal latency. Users report significant improvements in team coordination and project visibility.

Lessons Learned

Real-time applications require careful consideration of edge cases and conflict resolution strategies. Implementing optimistic updates improved perceived performance significantly, but required robust error handling and rollback mechanisms. The importance of connection state management and reconnection logic became evident when dealing with unstable network conditions.

© 2025 Scott LeFoll. All rights reserved.