Async R has always come with tradeoffs. Parallel batch compute meant duplicated data and an unbounded queue that could push your session out of memory, while Shiny gave you an event loop but background-worker submissions had no way to tell you when to slow down.
This is a companion discussion topic for the original entry at https://opensource.posit.co/blog/2026-05-12_production-async-r/