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create-a-backend

Plans backend architectures by mapping workloads to Vercel Functions, Services, Queues, and Workflow.

Updated Sep 17, 2026
Search Tags:#architecture#deployment#api#backend#vercel#queues#serverless functions
One-click install
npx skills add https://github.com/ridhijain709/AIPORSCHE --skill create-a-backend-ridhijain709
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-a-backend
Source: https://github.com/ridhijain709/AIPORSCHE/tree/main/.agents/skills/create-a-backend
Command: npx skills add https://github.com/ridhijain709/AIPORSCHE --skill create-a-backend-ridhijain709

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Choosing the right backend architecture on Vercel is confusing because the platform offers many overlapping products (Functions, Services, Containers, Queues, Workflow, Marketplace databases). This Skill guides you from your workload requirements to the correct product combination before you write any code. ## Core Features & Use Cases - Workload-to-Product Mapping: Matches HTTP APIs, WebSockets, background jobs, durable multi-step logic, cron work, and file storage to the appropriate Vercel product. - Framework Selection Guidance: Covers supported backend frameworks including Express, Fastify, Hono, NestJS, FastAPI, Flask, Django, and Go, plus container images for custom runtimes. - Database & Storage Selection: Recommends Marketplace integrations for Postgres, Redis, MongoDB, SQLite, and more, with region and connection-pooling considerations. - Use Case: You have an existing Express API and a Postgres database to deploy. The Skill directs you to Vercel Functions with Fluid compute, a Marketplace Postgres integration, and the follow-up implementation skills. ## Quick Start Ask the assistant to plan a backend architecture for your API or service on Vercel using this skill.

Frequently Asked Questions about create-a-backend

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a backend API on Vercel?▼

Deploy HTTP APIs, webhooks, and streaming endpoints as Vercel Functions with Fluid compute. Supported frameworks include Express, Fastify, Hono, NestJS, FastAPI, Flask, and Django, or use container images if you have an existing Dockerfile.

What Vercel product should I use for background jobs?▼

Use Vercel Queues for background jobs, buffering, fan-out, and message routing. Choose Vercel Workflow instead when the work is durable multi-step business logic requiring retries, sleeps, or external events.

Does Vercel support WebSockets and realtime connections?▼

Yes, Vercel Functions with Fluid compute support bidirectional WebSocket connections natively. No separate realtime service is required for this use case.

Vercel Functions vs Services: which should I choose?▼

Use Functions for standard request/response backends. Use Services when a frontend and one or more independently built backends should share one deployment, routing layer, preview URL, and rollback.

How do I add a database to my Vercel backend?▼

Provision databases through Vercel Marketplace storage integrations so credentials are injected into your project automatically. Options include Postgres (Neon, Supabase), Redis (Upstash), MongoDB Atlas, and SQLite (Turso); keep the database close to your Functions region.

When should I use container images instead of native runtimes on Vercel?▼

Use container images when your application already has a Dockerfile or requires a custom runtime or system dependencies. They run as autoscaling, stateless Functions rather than always-on container hosts.

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