Master Type-Safe Error Handling in TypeScript
Practical fp-ts skill for replacing try/catch with Either/TaskEither: chaining, error accumulation, and pattern conversion.
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Why it matters
Eliminate 'try/catch spaghetti' and embrace robust, type-safe error handling in your TypeScript applications. Learn practical patterns using fp-ts to manage errors as data, improving code clarity and reliability.
Outcomes
What it gets done
Replace exceptions with fp-ts Either and TaskEither patterns.
Implement type-safe error handling for APIs and services.
Learn to chain operations that may fail without nested try/catch blocks.
Collect and manage multiple validation errors effectively.
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-ts-errors | 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
Practical Error Handling with fp-ts
A practical fp-ts skill for TypeScript error handling: replacing try/catch with Either/TaskEither, chaining fallible operations, accumulating validation errors, and converting between throwing/Promise/Either patterns. Use for type-safe TypeScript error handling with Either/TaskEither, especially when accumulating multiple validation errors or building explicit error-typed APIs.
What it does
Practical Error Handling with fp-ts teaches replacing try/catch with type-safe Either/TaskEither patterns - errors as data instead of exceptions the type system can't see. Either<E, A> holds a Left (error) or Right (success); throwing code is wrapped at the boundary with E.tryCatch/E.tryCatchK, and common operations (E.map, E.mapLeft, E.fold, E.getOrElse, E.fromNullable) replace manual null/error checks.
When to use - and when NOT to
Use it for type-safe error handling in TypeScript, replacing try/catch with Either/TaskEither, building APIs needing explicit error types, or accumulating multiple validation errors instead of stopping at the first. Chained operations use E.chain/E.filterOrElse, with E.Do/E.bind for readable multi-step pipelines and E.chainW ("wider") to automatically union differing error types across steps rather than forcing a single error type. For async operations, TaskEither<E, A> mirrors Either over a lazy Promise, chained the same way, pattern-matched at the end with TE.fold, and parallelized via sequenceS(TE.ApplyPar).
Inputs and outputs
Collecting all errors (e.g. form validation) uses E.getApplicativeValidation over a NonEmptyArray semigroup combined with sequenceS, so every field's error surfaces at once instead of stopping at the first failure - extendable to field-level errors carrying which field failed. Resilience patterns include exponential-backoff retry and cache-then-API fallback chains:
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)
Real-world worked scenarios include safely parsing untyped input field-by-field, a full API-error type with HTTP-status-aware handling, processing a list where some items fail (collecting successes and failures separately), and bulk operations reporting partial success.
Integrations
Conversion utilities bridge real codebases that mix styles: nullable values via E.fromNullable/E.fromOption, throwing libraries (like Zod) wrapped with E.tryCatch at the boundary, Promise-based libraries (fetch, axios, Prisma) wrapped as TaskEither via TE.tryCatch, and an escape hatch back to plain Promises (awaiting the Either directly, converting to a throwing Promise for legacy code, or defaulting on error via TE.getOrElse) for interop with external APIs that expect exceptions.
Who it's for
TypeScript developers who want composable, type-tracked error handling - explicit error types the compiler enforces, chains that stop cleanly at the first failure or accumulate every failure when needed, and disciplined conversion points at the edges of a codebase that still throws.
FAQ
Common questions
Discussion
Questions & comments · 0
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