Skill

Handle TypeScript errors as values with fp-ts Either

Practical fp-ts error handling: replace try/catch with Either/TaskEither, chain failures, accumulate validation errors, and convert at boundaries.

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Updated 26 days ago
Version 13.6.1

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Why it matters

Replace exception-heavy TypeScript code with predictable, type-safe error handling using fp-ts Either and TaskEither patterns, making errors visible in function signatures and eliminating try-catch spaghetti.

Outcomes

What it gets done

01

Convert throwing functions to Either return types that make errors explicit in TypeScript signatures

02

Chain multiple fallible operations cleanly without nested try-catch blocks using pipe and chain

03

Collect all validation errors at once instead of failing on the first error

04

Transform error and success values through pipelines while maintaining type safety

Install

Add it to your toolbox

Run in your project directory:

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

Overview

Practical Error Handling with fp-ts

A practical fp-ts skill for replacing try/catch with Either/TaskEither error-as-value patterns, covering chaining, validation-error accumulation, and boundary conversion. Use when replacing exception-heavy TypeScript with Either/TaskEither, building validation or domain-error contracts, or needing pragmatic fp-ts error-handling patterns.

What it does

This skill teaches practical fp-ts error handling built on one idea: errors are data, returned as values TypeScript can track, instead of thrown into the void. Either<E, A> holds Left (error) or Right (success); E.tryCatch/E.tryCatchK wrap throwing code, E.map/E.mapLeft transform either side, E.fold pattern-matches both cases, and E.chain composes operations where any step's failure short-circuits the rest. TaskEither<E, A> is the async equivalent - a lazy function returning Promise<Either<E, A>> - with the same map/chain/fold vocabulary plus TE.orElse for fallback chains and sequenceS(TE.ApplyPar) for running independent async operations in parallel.

When to use - and when NOT to

Use it when replacing exception-heavy code with Either/TaskEither, when building validation or domain-error contracts, or when pragmatic fp-ts guidance is needed for real application code rather than academic functional-programming theory. It is specifically about error-as-value patterns; general fp-ts usage beyond error handling (lenses, IO, non-error monadic composition) is out of scope.

Inputs and outputs

Chaining with E.chain/E.chainW stops at the first Left and automatically unions differing error types across steps; E.filterOrElse adds validation checks mid-chain, and E.Do/E.bind ("Do notation") keeps intermediate values addressable by name in a pipeline. When every error needs surfacing at once - the classic form-validation case - E.getApplicativeValidation paired with NEA.getSemigroup and sequenceS(validation) accumulates all failures into a NonEmptyArray instead of stopping at the first one, with a field-level variant for attaching errors to specific form fields. For boundary conversion, E.fromNullable/E.fromOption handle T | undefined, E.tryCatch wraps throwing libraries like Zod's schema.parse, and TE.tryCatch wraps Promise-based APIs (fetch, Prisma) into typed TaskEithers; going back out to a plain Promise uses either await te() (preserves the Either), a throw-on-error wrapper for legacy callers, or TE.getOrElse for a default value.

const getUser = (id: string): E.Either<string, User> =>
  !id ? E.left('ID required') : E.right(db.find(id))

Integrations

Built entirely on fp-ts's Either, TaskEither, NonEmptyArray, and Apply modules, composed via pipe. Worked scenarios include exponential-backoff retry (TE.orElse plus T.delay), cache-then-API fallback chains, safely parsing untyped input field-by-field, typed API-error handling with switch-based recovery per error code, and bulk/list operations that process every item and report successes and failures separately rather than failing the whole batch on one bad item.

Who it's for

TypeScript developers migrating exception-heavy or nested-try/catch code to typed, composable error handling - anyone building form validation that needs every error at once, async pipelines that need retries and fallbacks, or API boundaries that need to convert between throwing functions, nullable values, Promises, and Either/TaskEither cleanly at the edges.

Source README

Practical Error Handling with fp-ts

This skill teaches you how to handle errors without try/catch spaghetti. No academic jargon - just practical patterns for real problems.

The core idea: Errors are just data. Instead of throwing them into the void and hoping someone catches them, return them as values that TypeScript can track.

When to Use

  • You need to replace exception-heavy code with Either or TaskEither.
  • The task involves validation, domain errors, or clearer error contracts in TypeScript.
  • You want pragmatic fp-ts error-handling guidance for real application code.

1. Stop Throwing Everywhere

The Problem with Exceptions

Exceptions are invisible in your types. They break the contract between functions.

// What this function signature promises:
function getUser(id: string): User

// What it actually does:
function getUser(id: string): User {
  if (!id) throw new Error('ID required')
  const user = db.find(id)
  if (!user) throw new Error('User not found')
  return user
}

// The caller has no idea this can fail
const user = getUser(id) // Might explode!

You end up with code like this:

// MESSY: try/catch everywhere
function processOrder(orderId: string) {
  let order
  try {
    order = getOrder(orderId)
  } catch (e) {
    console.error('Failed to get order')
    return null
  }

  let user
  try {
    user = getUser(order.userId)
  } catch (e) {
    console.error('Failed to get user')
    return null
  }

  let payment
  try {
    payment = chargeCard(user.cardId, order.total)
  } catch (e) {
    console.error('Payment failed')
    return null
  }

  return { order, user, payment }
}

The Solution: Return Errors as Values

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

// Now TypeScript KNOWS this can fail
function getUser(id: string): E.Either<string, User> {
  if (!id) return E.left('ID required')
  const user = db.find(id)
  if (!user) return E.left('User not found')
  return E.right(user)
}

// The caller is forced to handle both cases
const result = getUser(id)
// result is Either<string, User> - error OR success, never both

2. The Result Pattern (Either)

Either<E, A> is simple: it holds either an error (E) or a value (A).

  • Left = error case
  • Right = success case (think "right" as in "correct")
import * as E from 'fp-ts/Either'

// Creating values
const success = E.right(42)           // Right(42)
const failure = E.left('Oops')        // Left('Oops')

// Checking what you have
if (E.isRight(result)) {
  console.log(result.right) // The success value
} else {
  console.log(result.left)  // The error
}

// Better: pattern match with fold
const message = pipe(
  result,
  E.fold(
    (error) => `Failed: ${error}`,
    (value) => `Got: ${value}`
  )
)

Converting Throwing Code to Either

// Wrap any throwing function with tryCatch
const parseJSON = (json: string): E.Either<Error, unknown> =>
  E.tryCatch(
    () => JSON.parse(json),
    (e) => (e instanceof Error ? e : new Error(String(e)))
  )

parseJSON('{"valid": true}')  // Right({ valid: true })
parseJSON('not json')          // Left(SyntaxError: ...)

// For functions you'll reuse, use tryCatchK
const safeParseJSON = E.tryCatchK(
  JSON.parse,
  (e) => (e instanceof Error ? e : new Error(String(e)))
)

Common Either Operations

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

// Transform the success value
const doubled = pipe(
  E.right(21),
  E.map(n => n * 2)
) // Right(42)

// Transform the error
const betterError = pipe(
  E.left('bad'),
  E.mapLeft(e => `Error: ${e}`)
) // Left('Error: bad')

// Provide a default for errors
const value = pipe(
  E.left('failed'),
  E.getOrElse(() => 0)
) // 0

// Convert nullable to Either
const fromNullable = E.fromNullable('not found')
fromNullable(user)  // Right(user) if exists, Left('not found') if null/undefined

3. Chaining Operations That Might Fail

The real power comes from chaining. Each step can fail, but you write it as a clean pipeline.

Before: Nested Try/Catch Hell

// MESSY: Each step can fail, nested try/catch everywhere
function processUserOrder(userId: string, productId: string): Result | null {
  let user
  try {
    user = getUser(userId)
  } catch (e) {
    logError('User fetch failed', e)
    return null
  }

  if (!user.isActive) {
    logError('User not active')
    return null
  }

  let product
  try {
    product = getProduct(productId)
  } catch (e) {
    logError('Product fetch failed', e)
    return null
  }

  if (product.stock < 1) {
    logError('Out of stock')
    return null
  }

  let order
  try {
    order = createOrder(user, product)
  } catch (e) {
    logError('Order creation failed', e)
    return null
  }

  return order
}

After: Clean Chain with Either

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

// Each function returns Either<Error, T>
const getUser = (id: string): E.Either<string, User> => { ... }
const getProduct = (id: string): E.Either<string, Product> => { ... }
const createOrder = (user: User, product: Product): E.Either<string, Order> => { ... }

// Chain them together - first error stops the chain
const processUserOrder = (userId: string, productId: string): E.Either<string, Order> =>
  pipe(
    getUser(userId),
    E.filterOrElse(
      user => user.isActive,
      () => 'User not active'
    ),
    E.chain(user =>
      pipe(
        getProduct(productId),
        E.filterOrElse(
          product => product.stock >= 1,
          () => 'Out of stock'
        ),
        E.chain(product => createOrder(user, product))
      )
    )
  )

// Or use Do notation for cleaner access to intermediate values
const processUserOrder = (userId: string, productId: string): E.Either<string, Order> =>
  pipe(
    E.Do,
    E.bind('user', () => getUser(userId)),
    E.filterOrElse(
      ({ user }) => user.isActive,
      () => 'User not active'
    ),
    E.bind('product', () => getProduct(productId)),
    E.filterOrElse(
      ({ product }) => product.stock >= 1,
      () => 'Out of stock'
    ),
    E.chain(({ user, product }) => createOrder(user, product))
  )

Different Error Types? Use chainW

type ValidationError = { type: 'validation'; message: string }
type DbError = { type: 'db'; message: string }

const validateInput = (id: string): E.Either<ValidationError, string> => { ... }
const fetchFromDb = (id: string): E.Either<DbError, User> => { ... }

// chainW (W = "wider") automatically unions the error types
const process = (id: string): E.Either<ValidationError | DbError, User> =>
  pipe(
    validateInput(id),
    E.chainW(validId => fetchFromDb(validId))
  )

4. Collecting Multiple Errors

Sometimes you want ALL errors, not just the first one. Form validation is the classic example.

Before: Collecting Errors Manually

// MESSY: Manual error accumulation
function validateForm(form: FormData): { valid: boolean; errors: string[] } {
  const errors: string[] = []

  if (!form.email) {
    errors.push('Email required')
  } else if (!form.email.includes('@')) {
    errors.push('Invalid email')
  }

  if (!form.password) {
    errors.push('Password required')
  } else if (form.password.length < 8) {
    errors.push('Password too short')
  }

  if (!form.age) {
    errors.push('Age required')
  } else if (form.age < 18) {
    errors.push('Must be 18+')
  }

  return { valid: errors.length === 0, errors }
}

After: Validation with Error Accumulation

import * as E from 'fp-ts/Either'
import * as NEA from 'fp-ts/NonEmptyArray'
import { sequenceS } from 'fp-ts/Apply'
import { pipe } from 'fp-ts/function'

// Errors as a NonEmptyArray (always at least one)
type Errors = NEA.NonEmptyArray<string>

// Create the applicative that accumulates errors
const validation = E.getApplicativeValidation(NEA.getSemigroup<string>())

// Validators that return Either<Errors, T>
const validateEmail = (email: string): E.Either<Errors, string> =>
  !email ? E.left(NEA.of('Email required'))
  : !email.includes('@') ? E.left(NEA.of('Invalid email'))
  : E.right(email)

const validatePassword = (password: string): E.Either<Errors, string> =>
  !password ? E.left(NEA.of('Password required'))
  : password.length < 8 ? E.left(NEA.of('Password too short'))
  : E.right(password)

const validateAge = (age: number | undefined): E.Either<Errors, number> =>
  age === undefined ? E.left(NEA.of('Age required'))
  : age < 18 ? E.left(NEA.of('Must be 18+'))
  : E.right(age)

// Combine all validations - collects ALL errors
const validateForm = (form: FormData) =>
  sequenceS(validation)({
    email: validateEmail(form.email),
    password: validatePassword(form.password),
    age: validateAge(form.age)
  })

// Usage
validateForm({ email: '', password: '123', age: 15 })
// Left(['Email required', 'Password too short', 'Must be 18+'])

validateForm({ email: 'a@b.com', [REDACTED], age: 25 })
// Right({ email: 'a@b.com', [REDACTED], age: 25 })

Field-Level Errors for Forms

interface FieldError {
  field: string
  message: string
}

type FormErrors = NEA.NonEmptyArray<FieldError>

const fieldError = (field: string, message: string): FormErrors =>
  NEA.of({ field, message })

const formValidation = E.getApplicativeValidation(NEA.getSemigroup<FieldError>())

// Now errors know which field they belong to
const validateEmail = (email: string): E.Either<FormErrors, string> =>
  !email ? E.left(fieldError('email', 'Required'))
  : !email.includes('@') ? E.left(fieldError('email', 'Invalid format'))
  : E.right(email)

// Easy to display in UI
const getFieldError = (errors: FormErrors, field: string): string | undefined =>
  errors.find(e => e.field === field)?.message

5. Async Operations (TaskEither)

For async operations that can fail, use TaskEither. It's like Either but for promises.

  • TaskEither<E, A> = a function that returns Promise<Either<E, A>>
  • Lazy: nothing runs until you execute it
import * as TE from 'fp-ts/TaskEither'
import { pipe } from 'fp-ts/function'

// Wrap any async operation
const fetchUser = (id: string): TE.TaskEither<Error, User> =>
  TE.tryCatch(
    () => fetch(`/api/users/${id}`).then(r => r.json()),
    (e) => (e instanceof Error ? e : new Error(String(e)))
  )

// Chain async operations - just like Either
const getUserPosts = (userId: string): TE.TaskEither<Error, Post[]> =>
  pipe(
    fetchUser(userId),
    TE.chain(user => fetchPosts(user.id))
  )

// Execute when ready
const result = await getUserPosts('123')() // Returns Either<Error, Post[]>

Before: Promise Chain with Error Handling

// MESSY: try/catch mixed with promise chains
async function loadDashboard(userId: string) {
  try {
    const user = await fetchUser(userId)
    if (!user) throw new Error('User not found')

    let posts, notifications, settings
    try {
      [posts, notifications, settings] = await Promise.all([
        fetchPosts(user.id),
        fetchNotifications(user.id),
        fetchSettings(user.id)
      ])
    } catch (e) {
      // Which one failed? Who knows!
      console.error('Failed to load data', e)
      return null
    }

    return { user, posts, notifications, settings }
  } catch (e) {
    console.error('Failed to load user', e)
    return null
  }
}

After: Clean TaskEither Pipeline

import * as TE from 'fp-ts/TaskEither'
import { sequenceS } from 'fp-ts/Apply'
import { pipe } from 'fp-ts/function'

const loadDashboard = (userId: string) =>
  pipe(
    fetchUser(userId),
    TE.chain(user =>
      pipe(
        // Parallel fetch with sequenceS
        sequenceS(TE.ApplyPar)({
          posts: fetchPosts(user.id),
          notifications: fetchNotifications(user.id),
          settings: fetchSettings(user.id)
        }),
        TE.map(data => ({ user, ...data }))
      )
    )
  )

// Execute and handle both cases
pipe(
  loadDashboard('123'),
  TE.fold(
    (error) => T.of(renderError(error)),
    (data) => T.of(renderDashboard(data))
  )
)()

Retry Failed Operations

import * as T from 'fp-ts/Task'
import * as TE from 'fp-ts/TaskEither'
import { pipe } from 'fp-ts/function'

const retry = <E, A>(
  task: TE.TaskEither<E, A>,
  attempts: number,
  delayMs: number
): TE.TaskEither<E, A> =>
  pipe(
    task,
    TE.orElse((error) =>
      attempts > 1
        ? pipe(
            T.delay(delayMs)(T.of(undefined)),
            T.chain(() => retry(task, attempts - 1, delayMs * 2))
          )
        : TE.left(error)
    )
  )

// Retry up to 3 times with exponential backoff
const fetchWithRetry = retry(fetchUser('123'), 3, 1000)

Fallback to Alternative

// Try cache first, fall back to API
const getUserData = (id: string) =>
  pipe(
    fetchFromCache(id),
    TE.orElse(() => fetchFromApi(id)),
    TE.orElse(() => TE.right(defaultUser)) // Last resort default
  )

6. Converting Between Patterns

Real codebases have throwing functions, nullable values, and promises. Here's how to work with them.

From Nullable to Either

import * as E from 'fp-ts/Either'
import * as O from 'fp-ts/Option'

// Direct conversion
const user = users.find(u => u.id === id) // User | undefined
const result = E.fromNullable('User not found')(user)

// From Option
const maybeUser: O.Option<User> = O.fromNullable(user)
const eitherUser = pipe(
  maybeUser,
  E.fromOption(() => 'User not found')
)

From Throwing Function to Either

// Wrap at the boundary
const safeParse = <T>(schema: ZodSchema<T>) => (data: unknown): E.Either<ZodError, T> =>
  E.tryCatch(
    () => schema.parse(data),
    (e) => e as ZodError
  )

// Use throughout your code
const parseUser = safeParse(UserSchema)
const result = parseUser(rawData) // Either<ZodError, User>

From Promise to TaskEither

import * as TE from 'fp-ts/TaskEither'

// Wrap external async functions
const fetchJson = <T>(url: string): TE.TaskEither<Error, T> =>
  TE.tryCatch(
    () => fetch(url).then(r => r.json()),
    (e) => new Error(`Fetch failed: ${e}`)
  )

// Wrap axios, prisma, any async library
const getUserFromDb = (id: string): TE.TaskEither<DbError, User> =>
  TE.tryCatch(
    () => prisma.user.findUniqueOrThrow({ where: { id } }),
    (e) => ({ code: 'DB_ERROR', cause: e })
  )

Back to Promise (Escape Hatch)

Sometimes you need a plain Promise for external APIs.

import * as TE from 'fp-ts/TaskEither'
import * as E from 'fp-ts/Either'

const myTaskEither: TE.TaskEither<Error, User> = fetchUser('123')

// Option 1: Get the Either (preserves both cases)
const either: E.Either<Error, User> = await myTaskEither()

// Option 2: Throw on error (for legacy code)
const toThrowingPromise = <E, A>(te: TE.TaskEither<E, A>): Promise<A> =>
  te().then(E.fold(
    (error) => Promise.reject(error),
    (value) => Promise.resolve(value)
  ))

const user = await toThrowingPromise(fetchUser('123')) // Throws if Left

// Option 3: Default on error
const user = await pipe(
  fetchUser('123'),
  TE.getOrElse(() => T.of(defaultUser))
)()

Real Scenarios

Parse User Input Safely

interface ParsedInput {
  id: number
  name: string
  tags: string[]
}

const parseInput = (raw: unknown): E.Either<string, ParsedInput> =>
  pipe(
    E.Do,
    E.bind('obj', () =>
      typeof raw === 'object' && raw !== null
        ? E.right(raw as Record<string, unknown>)
        : E.left('Input must be an object')
    ),
    E.bind('id', ({ obj }) =>
      typeof obj.id === 'number'
        ? E.right(obj.id)
        : E.left('id must be a number')
    ),
    E.bind('name', ({ obj }) =>
      typeof obj.name === 'string' && obj.name.length > 0
        ? E.right(obj.name)
        : E.left('name must be a non-empty string')
    ),
    E.bind('tags', ({ obj }) =>
      Array.isArray(obj.tags) && obj.tags.every(t => typeof t === 'string')
        ? E.right(obj.tags as string[])
        : E.left('tags must be an array of strings')
    ),
    E.map(({ id, name, tags }) => ({ id, name, tags }))
  )

// Usage
parseInput({ id: 1, name: 'test', tags: ['a', 'b'] })
// Right({ id: 1, name: 'test', tags: ['a', 'b'] })

parseInput({ id: 'wrong', name: '', tags: null })
// Left('id must be a number')

API Call with Full Error Handling

interface ApiError {
  code: string
  message: string
  status?: number
}

const createApiError = (message: string, code = 'UNKNOWN', status?: number): ApiError =>
  ({ code, message, status })

const fetchWithErrorHandling = <T>(url: string): TE.TaskEither<ApiError, T> =>
  pipe(
    TE.tryCatch(
      () => fetch(url),
      () => createApiError('Network error', 'NETWORK')
    ),
    TE.chain(response =>
      response.ok
        ? TE.tryCatch(
            () => response.json() as Promise<T>,
            () => createApiError('Invalid JSON', 'PARSE')
          )
        : TE.left(createApiError(
            `HTTP ${response.status}`,
            response.status === 404 ? 'NOT_FOUND' : 'HTTP_ERROR',
            response.status
          ))
    )
  )

// Usage with pattern matching on error codes
const handleUserFetch = (userId: string) =>
  pipe(
    fetchWithErrorHandling<User>(`/api/users/${userId}`),
    TE.fold(
      (error) => {
        switch (error.code) {
          case 'NOT_FOUND': return T.of(showNotFoundPage())
          case 'NETWORK': return T.of(showOfflineMessage())
          default: return T.of(showGenericError(error.message))
        }
      },
      (user) => T.of(showUserProfile(user))
    )
  )

Process List Where Some Items Might Fail

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

interface ProcessResult<T> {
  successes: T[]
  failures: Array<{ item: unknown; error: string }>
}

// Process all, collect successes and failures separately
const processAllCollectErrors = <T, R>(
  items: T[],
  process: (item: T) => E.Either<string, R>
): ProcessResult<R> => {
  const results = items.map((item, index) =>
    pipe(
      process(item),
      E.mapLeft(error => ({ item, error, index }))
    )
  )

  return {
    successes: pipe(results, A.filterMap(E.toOption)),
    failures: pipe(
      results,
      A.filterMap(r => E.isLeft(r) ? O.some(r.left) : O.none)
    )
  }
}

// Usage
const parseNumbers = (inputs: string[]) =>
  processAllCollectErrors(inputs, input => {
    const n = parseInt(input, 10)
    return isNaN(n) ? E.left(`Invalid number: ${input}`) : E.right(n)
  })

parseNumbers(['1', 'abc', '3', 'def'])
// {
//   successes: [1, 3],
//   failures: [
//     { item: 'abc', error: 'Invalid number: abc', index: 1 },
//     { item: 'def', error: 'Invalid number: def', index: 3 }
//   ]
// }

Bulk Operations with Partial Success

import * as TE from 'fp-ts/TaskEither'
import * as T from 'fp-ts/Task'
import { pipe } from 'fp-ts/function'

interface BulkResult<T> {
  succeeded: T[]
  failed: Array<{ id: string; error: string }>
}

const bulkProcess = <T>(
  ids: string[],
  process: (id: string) => TE.TaskEither<string, T>
): T.Task<BulkResult<T>> =>
  pipe(
    ids,
    A.map(id =>
      pipe(
        process(id),
        TE.fold(
          (error) => T.of({ type: 'failed' as const, id, error }),
          (result) => T.of({ type: 'succeeded' as const, result })
        )
      )
    ),
    T.sequenceArray,
    T.map(results => ({
      succeeded: results
        .filter((r): r is { type: 'succeeded'; result: T } => r.type === 'succeeded')
        .map(r => r.result),
      failed: results
        .filter((r): r is { type: 'failed'; id: string; error: string } => r.type === 'failed')
        .map(({ id, error }) => ({ id, error }))
    }))
  )

// Usage
const deleteUsers = (userIds: string[]) =>
  bulkProcess(userIds, id =>
    pipe(
      deleteUser(id),
      TE.mapLeft(e => e.message)
    )
  )

// All operations run, you get a report of what worked and what didn't

Quick Reference

Pattern Use When Example
E.right(value) Creating a success E.right(42)
E.left(error) Creating a failure E.left('not found')
E.tryCatch(fn, onError) Wrapping throwing code E.tryCatch(() => JSON.parse(s), toError)
E.fromNullable(error) Converting nullable E.fromNullable('missing')(maybeValue)
E.map(fn) Transform success pipe(result, E.map(x => x * 2))
E.mapLeft(fn) Transform error pipe(result, E.mapLeft(addContext))
E.chain(fn) Chain operations pipe(getA(), E.chain(a => getB(a.id)))
E.chainW(fn) Chain with different error type pipe(validate(), E.chainW(save))
E.fold(onError, onSuccess) Handle both cases E.fold(showError, showData)
E.getOrElse(onError) Extract with default E.getOrElse(() => 0)
E.filterOrElse(pred, onFalse) Validate with error E.filterOrElse(x => x > 0, () => 'must be positive')
sequenceS(validation)({...}) Collect all errors Form validation

TaskEither Equivalents

All Either operations have TaskEither equivalents:

  • TE.right, TE.left, TE.tryCatch
  • TE.map, TE.mapLeft, TE.chain, TE.chainW
  • TE.fold, TE.getOrElse, TE.filterOrElse
  • TE.orElse for fallbacks

Summary

  1. Return errors as values - Use Either/TaskEither instead of throwing
  2. Chain with confidence - chain stops at first error automatically
  3. Collect all errors when needed - Use validation applicative for forms
  4. Wrap at boundaries - Convert throwing/Promise code at the edges
  5. Match at the end - Use fold to handle both cases when you're ready to act

The payoff: TypeScript tracks your errors, no more forgotten try/catch, clear control flow, and composable error handling.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

FAQ

Common questions

Discussion

Questions & comments · 0

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