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Node.js Express API with TypeScript Boilerplate

Generate a production-ready Express.js API boilerplate with TypeScript, validation, authentication, error handling, and Swagger docs.

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Ihr Prompt
prompt.txt

                                

What this prompt does

This prompt scaffolds a production-ready Express.js API in TypeScript. It generates a project structure following your [architecture_pattern], strict tsconfig, request validation with [validation_lib], authentication via [auth_method], centralised error handling with custom error classes, database integration through [orm] with migrations, auto-generated Swagger/OpenAPI docs, logging with [logger] including request correlation IDs, rate limiting and CORS, Docker and docker-compose, a health-check endpoint with dependency status, and an example CRUD module for [example_resource] — plus .env.example, ESLint, Prettier, and Husky hooks.

The structure works because it front-loads the plumbing every API needs. Instead of rebuilding validation, auth, error handling, and docs from scratch each project, the prompt produces a consistent [architecture_pattern] skeleton the team can extend with real endpoints immediately. The Docker and health-check pieces make it deployable, not just a local demo, and the [orm] and [validation_lib] variables fit it to your stack.

When to use it

  • You are starting a new Express API and want to skip rebuilding the same plumbing.
  • You want a consistent [architecture_pattern] structure across projects.
  • You need validation, auth, and error handling wired in from day one.
  • You want auto-generated Swagger docs from your routes.
  • You need Docker and a health-check endpoint so it is deployable, not just runnable.
  • You want an example [example_resource] CRUD module to copy from.

Example output

You get a complete Express + TypeScript repo: a [architecture_pattern] layout, strict tsconfig, [validation_lib] validation, [auth_method] auth, custom error classes with HTTP status mapping, [orm] integration with migrations, Swagger docs, [logger] logging with correlation IDs, rate limiting, CORS, Docker setup, a health-check endpoint, and a working [example_resource] CRUD module — with linting and pre-commit hooks configured.

Pro tips

  • Match [orm] and [validation_lib] to your real preferences early; swapping them later touches a lot of files.
  • Use the [example_resource] module as a template — copy its controller-service-repository shape for new resources.
  • Confirm [auth_method] matches your needs (refresh tokens versus simple JWT) before building features on top.
  • Keep the health-check endpoint reporting real dependency status, not a hardcoded OK.
  • Verify correlation IDs flow through [logger] end to end so you can trace a request across logs.
  • Treat the scaffold as a starting point; tighten rate-limit and CORS settings for your actual deployment.

Frequently Asked Questions

Is this just a demo or actually production-ready?
It aims for production-ready, including Docker, a health-check endpoint with dependency status, rate limiting, CORS, and correlation IDs. That said, you should still review security settings, tighten rate limits, and adapt `[auth_method]` to your real requirements before deploying it.
Can I swap out the ORM or validation library?
Yes. Set `[orm]` and `[validation_lib]` to your choices, such as Prisma or TypeORM and Zod or Joi. Choose them early, though, since they touch the structure broadly and swapping after generation means rewiring data access and validation across many files.
Does it generate API documentation automatically?
Yes. The prompt sets up Swagger/OpenAPI docs generated from your route definitions, so the documentation stays close to the code. You still need to keep route annotations accurate, but it removes the manual effort of maintaining a separate spec file.
What does the example CRUD module give me?
It provides a complete `[example_resource]` module in your `[architecture_pattern]` shape — controller, service, and repository layers wired together. You copy it as a template for new resources, which keeps every endpoint consistent and removes boilerplate decisions for the team.
Engr Mejba Ahmed

Need this built for real?

Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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