特效 4.0
Effect 4.0

原始链接: https://effect.website/blog/releases/effect/40

Effect 4.0 是一次彻底的重构,旨在提升性能、效率和 Tree Shaking 效果。与 3.x 相比,它能将打包体积缩减约 5 倍,并发任务吞吐量提高 6.4 倍,每个 Fiber 的内存占用减少 86%。 此次发布将生态系统中的大部分内容整合到统一的版本化同步发布流程中,同时核心包不包含任何运行时依赖。Effect 现在支持从单个函数到分布式系统的各种应用场景,包括类型化错误、依赖注入、资源管理、结构化并发、可观测性、持久化工作流和集群等功能。 采用速度正在迅速增长:在 2026 年 9 月 21 日所在的那一周,该项目的 npm 周下载量达到 4390 万次,其中 4.x 的使用量已经超过 3.x。围绕该平台也逐渐形成了 Alchemy 和 Foldkit 等社区。 从 4.0 开始,每个主要版本都会获得长期支持。Effect 4.x 将至少持续获得错误修复和安全修复至 2029 年 9 月,之后是否延长安全支持将取决于 5.0 的发布时间。 接下来,团队将稳定实验性模块、扩展原生平台支持,并推动 Effect 迈向统一的应用开发模式。现有用户可以参考迁移指南。

Hacker News 上的讨论帖介绍了 **Effect 4.0**,这是一个用于构建可靠后端系统的 TypeScript 库,采用 Effect 系统模型。其核心 `Effect` 类型用于描述计算、类型化错误和依赖关系;相关工具则提供结构化并发、通过 Context/Layer 实现的依赖注入、模式与编解码、HTTP、SQL、日志、遥测、资源管理以及 API 文档等功能。 支持者将 Effect 与 Scala 的 ZIO 作比较,并称它是一种“开箱即用”的方式,可用于构建生产级 TypeScript 应用。用户赞赏它完备的错误处理、可组合性、类型推断、可测试性以及更好的调试体验,而据称 v4 还提供了更简洁的 API 和更好的编辑器支持,并且没有运行时依赖。 质疑者则认为,Effect 的学习曲线陡峭,引入过多抽象和“魔法”,容易影响整个应用,并且重复实现了 JavaScript 生态中的许多功能。其他人也质疑,与原生 JavaScript、RxJS 或传统框架相比,它的复杂度是否合理。虽然可以通过 `runX()` 运行 Effect,从而划定使用边界,但采用它仍然需要学习其约定。 讨论还批评了含糊其辞的“AI 时代”营销话术,同时指出官方文档对产品的说明更加清晰。
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原文

Today, we’re releasing Effect 4.0.

It’s the most ambitious release we’ve ever shipped. We rebuilt Effect from the ground up. It’s faster, uses a fraction of the memory, and tree-shakes to far smaller bundles.

Effect 3 vs. Effect 4

Smaller bundle size
5×

Concurrent task throughput
6.4×

Less memory per fiber
86%

Minimal program size lower is better

3.x

4.x

Tasks per second higher is better

3.x

4.x

Heap for 50,000 fibers lower is better

3.x

4.x

Bundles are built from identical source, minified and gzipped. Runtime figures are medians of nine fresh-process runs.

One ecosystem, zero dependencies

Many previously separate packages now live in effect itself. The packages around it share a single version and release in lockstep.

The core effect package has zero runtime dependencies. We control every line we ship, so there are no third-party dependency chains and less exposure to supply chain attacks.

From functions to clusters

Effect started with a much smaller scope. Today, it covers the full range, from a single function to a distributed system.

People came for the programming model: an effect system with built-in typed errors, dependency injection, resource management, structured concurrency, and observability. The standard library and platform integrations grew around it. Then came higher-level primitives for distributed systems, including durable workflows and clustering.

Every layer is built on that same model, with the same guarantees all the way up.

Mainstream adoption

Effect now runs in production at companies of all sizes, including large enterprises.

Weekly npm downloads

Downloads in the week of September 21, 2026
43.9M

Growth since 3.x
179×

4.x adoption already outsizes 3.x last 7 days

4.x
56%

3.x
44%

Projects with communities of their own have grown around it: Alchemy for cloud infrastructure, and Foldkit for the frontend.

If your team runs Effect in production, let’s talk. Tell us what you’re building and how we can help.

Long-term support

Teams are betting their products on Effect, and they deserve commitments they can plan around. Starting with this release, every major version of Effect has a long-term support policy.

For Effect 4.x, that means:

  • Bug fixes until September 2029, or one year after 5.0 ships, whichever is later
  • Security fixes until September 2029, or two years after 5.0 ships, whichever is later
Long-term support for Effect 4.x
If 5.0 ships in

2026 2028 2030 2032

Sep 2027
4.x gets bug and security fixes until Sep 2029

5.0 ships

Sep 2028
4.x gets bug fixes until Sep 2029 and security fixes until Sep 2030

5.0 ships

Sep 2030
4.x gets bug fixes until Sep 2031 and security fixes until Sep 2032

5.0 ships

Support lasts at least three years. If 5.0 ships late enough, bug and security fixes run past that minimum.

We’ll share the full policy and our release process in a follow-up post.

What’s next

Our first priority is stabilizing more of the ecosystem. Some of the newer modules are still tagged @stability unstable or @stability experimental, which means they may change in minor or patch releases. We’ll use production feedback to refine them and promote them to stable.

Beyond that, we’ll continue expanding Effect into a single programming model for your entire application, with broader native platform support and more higher-level primitives.

Over to you

Migrating? Start with the migration guide. Hand it to your coding agent, and it should do most of the work on its own.

Curious? Check out our documentation or ask your agent why you should be building with Effect.

Thank you to everyone who contributed, tested releases, reported bugs, and helped others get started. Effect is better because of you.

Spread the word and celebrate with us on X, Bluesky, and Discord.

Thank you for your attention to this matter.

联系我们 contact @ memedata.com