Piping streams in Node.js connects readable and writable streams to create efficient data processing pipelines with automatic flow control and error handling. With over 25 years of experience in software development and as the creator of CoreUI, I’ve implemented stream pipelines extensively in data processing systems, file operations, and real-time applications. From my expertise, the most effective approach is using the pipe() method to connect streams, and pipeline() for more robust error handling and cleanup. This pattern enables building complex data processing workflows while maintaining memory efficiency and proper resource management.

Generating Angular pipes enables you to create reusable data transformation logic for templates, providing clean and consistent formatting across your application. As the creator of CoreUI, a widely used open-source UI library, I’ve generated numerous Angular pipes for date formatting, text transformation, and number formatting in enterprise applications. From my expertise, the most efficient approach is to use Angular CLI’s generate pipe command. This method creates the proper pipe structure, implements the PipeTransform interface, and generates test files while following Angular best practices.