- Developed a robust Task Management
API
for startup Llama.io usingNode.js
,Express
, andMongoose
- Implemented various endpoints for user and task management, allowing CRUD operations with proper error handling
- Designed and utilized data schemas for users and tasks, enhancing data organization and retrieval
- Incorporated additional features, including support for JSON-encoded query string parameters and the
+select+
parameter for flexible data retrieval - Utilized MongoDB Atlas for database hosting, ensuring a minimum of 20 users and 100 tasks with specified completion status
- Implemented server-side validation for user and task creation to maintain data integrity
- Ensured API responses in JSON format with clear messages, employing appropriate HTTP status codes for success and error scenarios
- Applied Mongoose’s methods for efficient query processing and data manipulation
- Followed good coding practices and prioritized error handling to create a reliable and feature-rich API for task management