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Combinator

As explained in Functional Design and Architecture: Examples in Haskell

A combinator is a function or expression-building operation that combines smaller computational elements into a larger computation.

A combinator combines smaller computational elements into a larger computation of the same general kind. This makes it useful for building expressive functional interfaces and embedded domain-specific languages from precise operations that each do one small thing. section 5.1.1 section 13.2

The design problem is how to express domain behavior without exposing a collection of unrelated operations. A combinatorial interface addresses it by letting operations join into a larger combinator, while functional eDSLs use the same approach to make behavior concise, generic, safe, and expressive. section 5.1.1 section 13.2

Composing effectful operations

Generic functions such as mapM, sequence, and replicateM demonstrate the pattern: each accepts an operation or collection of operations and combines them into a larger effectful computation. Similar designs appear in lenses and reactive streams, where operations compose rather than stand alone. section 5.1.1 section 13.2

mapM :: (Traversable t, Monad m) => (a -> m b) -> t a -> m (t b)
sequence :: (Traversable t, Monad m) => t (m a) -> m (t a)
replicateM :: Applicative m => Int -> m a -> m [a]

Inspect representative Haskell combinators for mapping, sequencing, and repeating effectful computations. section 5.1.1

How Functional Design and Architecture: Examples in Haskell covers it

How deep it goes
Defines the compositional principle and gives representative APIs, but stops short of formal category-theoretic derivations or implementation internals.
Examples
Uses mapM, sequence, replicateM, lenses, and reactive streams as examples of composable functional operations.
What it assumes
Assumes comfort with functions and data transformations while treating category theory and abstract algebra as unnecessary for basic use.
What you can do after
Evaluate/understand functional interfaces by recognizing when small operations compose into reusable domain-specific behavior.
How it connects
Connects embedded domain-specific languages, functional programming, monads, lenses, reactive streams, and dependency inversion.

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This explainer was generated by Manning's knowledge graph from the text of Functional Design and Architecture: Examples in Haskell. The section links point to the parts of the book it draws on.