Ensuring that software applications
present their users the most recent version of data is not trivial.
Self-adjusting computations are a technique for automatically and efficiently recomputing
output data whenever some input changes.

This article describes the software architecture of a large, commercial
software system built around a framework for coarse-grained self-adjusting
computations in Haskell. It discusses advantages and disadvantages
based on longtime experience.
The article also presents a demo of the system
and explains the API of the framework.