Skill

Apply functional programming patterns to React codebases

Apply fp-ts to React: RemoteData for async UI state, Either form validation, and fixing re-renders caused by fp-ts's reference equality.

Works with reacttypescriptfp tsnext js

81
Spark score
out of 100
Updated 5 days ago
Source checked Sep 16, 2026
Version 17.3.0

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Why it matters

Developers hire this skill to write type-safe, predictable React applications using functional programming patterns from fp-ts. It handles state management, form validation, async data fetching, and error handling with composable, testable code that works across React 18/19 and Next.js 14/15.

Outcomes

What it gets done

01

Manage optional state with Option types instead of null/undefined checks

02

Validate forms with Either to collect all errors or field-level feedback

03

Fetch data with TaskEither to handle async operations and failures gracefully

04

Chain and compose transformations using pipe for readable data flows

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Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-fp-react | bash

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Overview

Functional Programming in React

A React-specific guide to fp-ts patterns: the RemoteData state machine for async UI, Either-based form validation, dependency injection, and fixing re-render bugs from fp-ts's reference equality. Use when building React components or hooks that need optional data, form validation, async fetching, or testable dependency injection with fp-ts.

What it does

This skill applies fp-ts patterns specifically to React component code: Option<T> for state that might not exist yet (a user not loaded), Either<E, A> for form validation with a validation applicative to collect every field error at once rather than stopping at the first, TaskEither<E, A> wrapped in custom hooks for API calls (including parallel fetches via sequenceT(TE.ApplyPar)), and the RemoteData discriminated union (NotAsked | Loading | Failure | Success) as the correct replacement for a { data, loading, error } boolean triple that can represent impossible states like loading: true with data already present.

When to use - and when NOT to

Use it when building React components or hooks that need to represent optional data, validate forms with field-level errors, fetch data asynchronously with proper loading/error/success states, or inject testable dependencies via context. It is React-specific application of fp-ts, not a general introduction to the library's data types.

Inputs and outputs

A useRemoteData hook wraps a fetch function and exposes a four-state RemoteData<Error, T> that a fold function pattern-matches into the right UI for each case. A distinct gotcha this skill flags: fp-ts values like O.some(1) create a new object reference every render, so putting one directly in a useEffect dependency array fires the effect on every render even when the underlying value hasn't changed - fixed either by memoizing the fp-ts value construction with useMemo and depending on the raw value instead, or by installing fp-ts-react-stable-hooks for hooks that compare via fp-ts's Eq instances instead of reference equality. Dependency injection uses a React Context holding an AppDependencies object (API and analytics services) consumed via a useDeps() hook, making components testable by rendering them with mock dependencies instead of real API calls. React 19 patterns are covered directly: use() for suspending on a promise instead of useEffect+useState, useActionState for form submission combined with Either-based validation, and useOptimistic for instant UI feedback before a save completes.

type RemoteData<E, A> =
  | { _tag: 'NotAsked' }
  | { _tag: 'Loading' }
  | { _tag: 'Failure'; error: E }
  | { _tag: 'Success'; data: A }

Integrations

Built on fp-ts's Option, Either, TaskEither, ReaderTaskEither, and Apply modules, plus two companion libraries named explicitly: fp-ts-react-stable-hooks for reference-equality-safe hooks, and @devexperts/remote-data-ts for a ready-made RemoteData implementation rather than hand-rolling the tagged union. It also notes io-ts and zod as schema-validation libraries that pair well with fp-ts's Either-based validation.

Who it's for

React developers already using or adopting fp-ts who need React-specific guidance - avoiding impossible loading/error/data state combinations, fixing effect re-run bugs caused by fp-ts's non-referential equality, structuring testable dependency injection, and wiring Either/TaskEither validation into React 19's useActionState and useOptimistic.

FAQ

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