Abstracting Effects with Continuations to Unify Business Logic

Abstracting Effects with Continuations

I explore how continuations in Gleam allow us to write a single business logic function that works seamlessly with synchronous, fallible, and asynchronous data sources. Instead of maintaining separate implementations for each scenario, we separate the core logic from the specific effects, letting the caller define how values are fetched and processed.

"Using a continuation says: 'I have no idea how you're going to get the value, but when you do, this is what should be done next.'"