Generate Reusable Code Pipelines with fp-ts
A quick reference for fp-ts's pipe and flow, covering value transforms, reusable pipelines, and Option/Array chaining.
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Why it matters
Streamline your TypeScript development by generating reusable data transformation pipelines using the fp-ts library's `pipe` and `flow` functions. This asset helps create elegant, functional code for transforming values and building complex operations.
Outcomes
What it gets done
Generate TypeScript code using `pipe` for single value transformations.
Create reusable transformation functions with `flow`.
Apply functional programming patterns for data manipulation with fp-ts.
Understand and implement common data processing patterns.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-fp-pipe-ref | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
pipe & flow Quick Reference
A quick reference distinguishing fp-ts's pipe (transform a value now) from flow (build a reusable pipeline), with Option and Array chaining examples. Reach for this when composing fp-ts transformations and unsure whether to use pipe for a one-off value or flow for a reusable function.
What it does
A quick reference for fp-ts's two core composition helpers. pipe(startValue, fn1, fn2, fn3) applies functions left to right to a single value right now, equivalent to fn3(fn2(fn1(startValue))) - e.g. trimming, uppercasing, then splitting a string. flow(fn1, fn2, fn3) composes the same kind of chain but returns a reusable function instead of running it immediately, so the same pipeline can be called against multiple different inputs.
When to use - and when NOT to
Use pipe when you want to transform one specific value right now. Use flow when you want to create a reusable transformation you'll call more than once - for example a flow-built function reused across two different arrays. It's a reference for fp-ts's function-composition utilities specifically, not a general guide to fp-ts's whole type system.
Inputs and outputs
import { pipe } from 'fp-ts/function'
const result = pipe(
' hello world ',
s => s.trim(),
s => s.toUpperCase(),
s => s.split(' ')
)
// ['HELLO', 'WORLD']
The reference also covers combining pipe/flow with fp-ts's Option and Array modules: an Option chain (O.fromNullable, O.map, O.getOrElse) for safely unwrapping a nullable value with a fallback, and an Array chain (A.filter, A.map) for filtering then mapping a collection.
Integrations
Built on fp-ts's function module (pipe, flow) alongside its Option (O) and Array (A) modules, which supply the composable functions passed into a pipeline.
Who it's for
TypeScript developers using fp-ts who need a fast reminder of when to reach for pipe versus flow, including the data-last pattern that lets a flow-built function - such as filtering active users then mapping their names - be reused across different inputs.
FAQ
Common questions
Discussion
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