What are some common mistakes when working with immutable data?

What are some common mistakes when working with immutable data?

Some common mistakes include not understanding how immutability affects performance, failing to use proper data structures, and misunderstanding state management.

Can you explain how immutability affects performance?

Immutability can lead to performance issues if not managed properly, as creating new objects can be costly. However, it can also improve performance by enabling optimizations like structural sharing.

What are the best practices for using immutable data?

Best practices include using libraries designed for immutability, understanding when to clone data, and leveraging functional programming techniques.

How can I debug issues related to immutable data?

Debugging can be done by using tools that visualize state changes, logging state transitions, and ensuring you have a clear understanding of your data flow.

Are there any libraries you recommend for working with immutable data?

Yes, libraries like Immutable.js, Immer, and seamless-immutable are great for managing immutable data in JavaScript.