Kotlin Flows: Buffer, Conflate, and Debounce

A practical guide to handling backpressure in Kotlin Flows when producers emit values faster than consumers can process them. Covers three key strategies: buffering (accumulating values up to a configurable capacity), conflation (dropping intermediate values and keeping only the latest), and debouncing (waiting for upstream silence before emitting). Includes examples of buffer capacity configuration, operator fusion when combining buffer with flowOn, and a real-world autocomplete search scenario using a 250ms debounce timeout.