Skill

Implement Typed Error Handling with fp-ts Either

Quick fp-ts reference for the Either type: create, transform and extract functions for typed, chainable error handling and validation.

Works with github

82
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Updated 28 days ago
Source checked Oct 11, 2026
Version 19.3.0

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Why it matters

Leverage fp-ts Either for robust, type-safe synchronous error handling in your TypeScript projects. This skill provides a quick reference for managing success and failure states, ideal for validation and converting throwing code.

Outcomes

What it gets done

01

Quick reference for fp-ts Either type for synchronous error handling.

02

Examples for creating, transforming, and extracting values from Either.

03

Demonstrates validation and converting throwing code to Either.

04

Compares Either pattern with traditional try/catch for explicit error typing.

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Run in your project directory:

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

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Overview

A quick fp-ts reference for the Either type, covering create, transform, and extract functions for typed synchronous error handling, with a validation chain example compared against try/catch. Use it as a quick fp-ts lookup for validation or fallible operations where the error type should matter.

What it does

This is a compact cheat sheet for fp-ts's Either type: a value that is either a success, Right(value), or a failure, Left(error). It groups the API into create, transform, and extract functions rather than a long tutorial.

To create an Either, it lists E.right(value) for success, E.left(error) for failure, E.fromNullable(err)(x) which turns a nullable value into Left(err) on null or Right(x) otherwise, and E.tryCatch(fn, toError) which wraps a try/catch into an Either. To transform one, it lists E.map(fn) to transform the Right value, E.mapLeft(fn) to transform the Left error, E.flatMap(fn) to chain a function that itself returns an Either, and E.filterOrElse(pred, toErr) to turn a Right into a Left when a predicate fails. To extract a result, it lists E.getOrElse(err => default) to get the Right value or a default, E.match(onLeft, onRight) to pattern match on both branches, and E.toUnion(either) to collapse to a plain union type, noted as losing type information.

Its common-patterns example validates an email and an age in sequence, stopping at the first error, using pipe and E.flatMap:

import { pipe } from 'fp-ts/function'
import * as E from 'fp-ts/Either'

// Validation
const validateEmail = (s: string): E.Either<string, string> =>
  s.includes('@') ? E.right(s) : E.left('Invalid email')

// Chain validations (stops at first error)
pipe(
  E.right({ email: 'test@example.com', age: 25 }),
  E.flatMap(d => pipe(validateEmail(d.email), E.map(() => d))),
  E.flatMap(d => d.age >= 18 ? E.right(d) : E.left('Must be 18+'))
)

It also compares Either against a plain try/catch, arguing that try/catch leaves errors out of the type system while Either keeps them explicit in the type, and gives its own guidance: use Either when the error type matters and you want to chain operations.

When to use - and when NOT to

Use it when you need a quick fp-ts reference for typed synchronous error handling, when the task involves validation, fallible operations, or converting throwing code to Either, or when you want a compact cheat sheet rather than a long tutorial.

Inputs and outputs

Inputs are TypeScript code that currently throws, returns null, or needs chained validation. Outputs are Either-typed values and chains built from the create, transform, and extract functions listed above, such as E.tryCatch wrapping a JSON.parse call or a pipe of validation steps.

Who it's for

It is for TypeScript developers using fp-ts who want typed, chainable error handling instead of try/catch, and who want a quick lookup rather than a full functional-programming tutorial.

FAQ

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Discussion

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