Kotlin Flows: Buffer, Conflate, and Debounce

Explains how to handle backpressure in Kotlin Flows when an emitter produces values faster than a collector can process them. Covers three strategies: buffering (accumulating values up to a configurable capacity), conflation (dropping intermediate values and keeping only the latest), and debouncing (waiting for the upstream to be silent for a set duration before emitting). Practical examples include configuring buffer capacity, using operator fusion when combining buffer and flowOn, and a real-world autocomplete search scenario demonstrating debounce with a 250ms timeout.