Cette page est affichée en anglais. Une traduction française est en cours.
SkillsApr 19, 2026·3 min de lecture

Effect — Type-Safe Functional Programming for TypeScript

Effect is a TypeScript library that brings structured concurrency, typed errors, dependency injection, and composable abstractions to production TypeScript applications.

Prêt pour agents

Installation agent prête

Cet actif peut être installé après choix du runtime, vérification du plan et exécution de la commande adaptée.

Native · 98/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
Effect TypeScript Guide
Commande d'installation directe
npx -y tokrepo@latest install 5e3e4b27-3ba8-11f1-9bc6-00163e2b0d79 --target codex

À exécuter après confirmation du plan en dry-run.

Introduction

Effect is a comprehensive TypeScript library for building reliable applications. It provides a typed effect system where every function declares its success type, error type, and required dependencies in the type signature. This gives you compile-time guarantees about error handling, resource management, and dependency injection without leaving the TypeScript ecosystem.

What Effect Does

  • Tracks success values, typed errors, and dependencies in function signatures
  • Provides structured concurrency with fibers, scopes, and interruption
  • Includes built-in retry, timeout, scheduling, and rate limiting combinators
  • Ships with a dependency injection system using Layers and Services
  • Offers data validation, serialization, and HTTP client/server modules

Architecture Overview

Effect uses a lazy, push-based evaluation model. Programs are described as immutable data structures (the Effect type) and only execute when run by a Runtime. The Runtime manages a fiber-based scheduler that multiplexes concurrent effects onto the JavaScript event loop. Effects compose via pipe, flatMap, and generators (Effect.gen), building up a description of the computation that the runtime evaluates step by step.

Self-Hosting & Configuration

  • Install the core package via npm, pnpm, or yarn
  • No special compiler or build plugin required—works with standard TypeScript
  • Configure the runtime with custom loggers, metrics, and span processors
  • Layer definitions wire up services for dependency injection at the application edge
  • Official packages for HTTP (@effect/platform), Schema, SQL, and OpenTelemetry

Key Features

  • Typed error channel prevents unhandled exceptions at compile time
  • Generator syntax (Effect.gen) for async/await-style imperative code
  • Resource safety with Scope-based acquisition and release guarantees
  • Built-in observability with tracing, metrics, and structured logging
  • Schema module for runtime validation with automatic TypeScript type derivation

Comparison with Similar Tools

  • fp-ts — functional utilities without a runtime; Effect provides a full effect system with concurrency
  • Zod — schema validation only; Effect Schema integrates validation with the effect system
  • RxJS — stream-based reactive programming; Effect is fiber-based with structured concurrency
  • neverthrow — typed Result type; Effect adds dependency tracking, concurrency, and resource management
  • ZIO (Scala) — Effect is directly inspired by ZIO, adapted for the TypeScript ecosystem

FAQ

Q: Do I need functional programming experience? A: No. Effect's generator syntax reads like standard async/await code. You can adopt functional patterns gradually.

Q: How does Effect handle errors differently from try/catch? A: Errors are part of the type signature. The compiler ensures every possible error is handled or propagated, eliminating silent failures.

Q: Can I use Effect with React or Next.js? A: Yes. Effect runs in any JavaScript environment. The @effect/platform package includes adapters for Node.js, browsers, and edge runtimes.

Q: What is the performance overhead? A: Effect's fiber scheduler adds minimal overhead. For I/O-bound applications, the structured concurrency and retry mechanisms often improve overall throughput compared to ad-hoc implementations.

Sources

Fil de discussion

Connectez-vous pour rejoindre la discussion.
Aucun commentaire pour l'instant. Soyez le premier à partager votre avis.

Actifs similaires