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Building Scalable APIs with Node.js and TypeScript

How we structure our Express + TypeScript API projects for long-term maintainability — from folder layout to error handling and OpenAPI docs.

Enwiya Engineering Jul 10, 2026 7 min read

Scaling a Node.js API from a handful of endpoints to hundreds requires deliberate architectural choices from day one. TypeScript makes this tractable — but only when paired with the right project structure and runtime validation.

Feature-First Folder Layout

We organise every API using a feature-first structure. Each feature (users, orders, payments) gets its own directory containing its router, controller, service, and Zod schema. Related code stays co-located, onboarding is fast, and there is no cross-feature coupling.

src/
  features/
    users/
      users.router.ts
      users.controller.ts
      users.service.ts
      users.schema.ts
  middleware/
  lib/
  app.ts

Type-Safe Request Validation with Zod

Every request body and query parameter is parsed through a Zod schema at the controller boundary before any business logic runs. This eliminates an entire class of runtime errors and gives accurate TypeScript types throughout the request lifecycle — no more casting unknown to anything.

Centralised Error Handling

A single Express error middleware handles every thrown error. We define a lightweight AppError class that carries an HTTP status code. Controllers simply throw — they never construct raw HTTP responses. Consistent error shapes across every endpoint come for free.

Auto-Generated OpenAPI Docs

We use zod-to-openapi to generate an OpenAPI 3.1 spec directly from our Zod schemas. The spec is served at /docs as a live Swagger UI — always in sync with the code, never written by hand.

Every API we ship is self-documented, fully type-safe, and structured so any engineer on the team can navigate it within minutes of cloning the repo.

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