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GitHub - darula-hpp/fastbackend: A Runtime for Backend APIs
ombedzi · 2026-05-20 · via Hacker News: Show HN

FastBackend automates the repetitive ~90% of backend work: CRUD, relationships, validation, filtering, and OpenAPI from your database schema. You write custom code only for business logic — overrides and custom routes for the 10% that matters.

Schema → framework-agnostic IRruntime adapter (FastAPI or Express) → REST + OpenAPI. The IR is not tied to a backend framework. The OpenAPI output is not tied to a frontend framework.

Vision

Most backend work is predictable once you have a schema. The other part — custom business logic, integrations, auth flows, microservices, and one-off endpoints — is what makes your product unique.

FastBackend's goal is to automate the predictable layer:

  1. Your database schema is the source of truth
  2. The CLI compiles it into a framework-agnostic IR (entities, fields, relationships, validation)
  3. A runtime adapter serves that IR as REST + OpenAPI
  4. You write custom code only where it matters — overrides and custom routes in app/custom/ or src/custom/

FastBackend ships two runtime adapters today:

Adapter Stack Persistence Best for
FastAPI Python In-memory (MVP) SQLAlchemy or Prisma schema, Python teams
Express TypeScript Prisma Client Prisma schema, Node/TypeScript teams

@fastbackend/core and @fastbackend/cli are adapter-agnostic. They parse your schema, write IR and OpenAPI to disk, and the runtime adapter registers routes in memory.

Frontend integration

fastbackend generate writes .fastbackend/openapi.yaml. Any frontend can consume it:

  • React / Vue / Svelte / Angular: Orval, openapi-typescript, Hey API, etc.
  • UIGen: auto-generates a React admin UI from the same OpenAPI file
fastbackend generate
npx orval --input .fastbackend/openapi.yaml --output ./src/api

OpenAPI is the handoff point between backend and frontend.

How It Works

FastBackend uses a schema-first pipeline: your database schema is the source of truth, the CLI generates IR and OpenAPI to disk, and the runtime adapter registers REST routes in memory at startup. No ORM boilerplate, no route files to maintain.

CLI Command
    |
    v
+----------------+     +----------------+     +------+     +-------------+
| Schema File    |---->| Schema Parser  |---->|  IR  |---->|  OpenAPI    |
| (Prisma /      |     | Plugin         |     |      |     |  Spec       |
|  SQLAlchemy)   |     +----------------+     +------+     +-------------+
+----------------+           ^                    |               |
       |                     |                    |               |
       |              +----------------+          |         +-------------+
       |              | fastbackend    |          |         | .fastbackend|
       |              | .yaml          |          +-------->| (on disk)   |
       |              +----------------+                    +-------------+
       |
       | (you own schema + config; FastBackend never edits them)
       |
       +----------------------------------------------+
                                                      |
                                                      v
                                               +----------------+
                                               | Runtime Adapter|----> REST API
                                               | FastAPI or     |     (in memory)
                                               | Express        |
                                               +----------------+
                                                      ^
                                               +----------------+
                                               | Custom Routes  |
                                               | & Overrides    |
                                               +----------------+

Generate step: @fastbackend/core parses your schema into a framework-agnostic IR (entities, fields, relationships, validation rules), then emits OpenAPI for downstream tools like UIGen.

Dev step: The runtime adapter loads IR, wires CRUD and relationship routes, applies validation (Pydantic or Zod), and mounts your custom endpoints. FastAPI uses an in-memory store today; Express uses Prisma Client against your database.

Custom code for the 10%

Generated routes cover CRUD and relationships. Use custom routes and overrides for business logic:

  • Custom route — add a new endpoint under app/custom/ or src/custom/
  • Override — replace a generated route (e.g. custom GET /users/{id} handler)

The runtime discovers these at startup and merges them into the served API and OpenAPI output. See examples/sqlalchemy-fastapi for override examples.

Quick Start

Install the CLI

npm install -g @fastbackend/cli

For monorepo development, build from source instead:

cd fastbackend
pnpm install && pnpm build
# then use: node packages/cli/dist/index.js ...

FastAPI (Python)

fastbackend init my-api --schema sqlalchemy --adapter fastapi
cd my-api
pip install -r requirements.txt
fastbackend generate
fastbackend dev

Express (TypeScript + Prisma)

fastbackend init my-api --schema prisma --adapter express
cd my-api
npm install
cp .env.example .env
npx prisma migrate dev
fastbackend generate
fastbackend dev

Express requires a Prisma schema. SQLAlchemy schemas are not supported on the Express adapter.

What Gets Generated vs Runtime

Written to disk Runtime only (in memory)
.fastbackend/ir.json REST routes (CRUD, relationships, custom)
.fastbackend/openapi.yaml Validation (Pydantic or Zod)
Query builders
You own FastBackend never modifies
models.py / schema.prisma Schema files
fastbackend.yaml Config
app/custom/* or src/custom/* Custom endpoints

Roadmap

Same philosophy for common backend services: declare the provider and URLs in config, keep secrets in .env, runtime wires the integration.

Planned (not shipped yet):

  • Storage (S3, etc.) — declarative bucket/region config, credentials in env
  • OAuth — declarative provider config, client secrets in env
  • More runtime adapters — same IR pipeline, different backend frameworks

Self-hosted: you bring credentials, FastBackend wires the boilerplate. Custom code remains the escape hatch when declarative config is not enough.

CLI Commands

Command Description
fastbackend init <name> Scaffold a new project
fastbackend generate Parse schema, write IR + OpenAPI
fastbackend dev Start runtime with optional --watch
fastbackend build Production IR + OpenAPI generation
fastbackend test Run framework tests
fastbackend migrate Run database migrations
fastbackend docker:build Build Docker image

Packages

Published on npm (public):

Python adapter (PyPI):

Testing

pnpm test                  # TypeScript unit + E2E tests
pnpm test:coverage:python  # FastAPI adapter coverage (75% threshold)
pnpm test:integration:docker  # Docker build + /health (requires Docker)
pnpm test:all              # Run all of the above

Documentation

Examples

Example Adapter Schema Port
sqlalchemy-fastapi FastAPI SQLAlchemy 8301
prisma-fastapi FastAPI Prisma 8301
prisma-express Express Prisma 3001

Each example has its own README with endpoints, overrides, and tests. From the repo root, build the CLI once:

cd fastbackend
pnpm install && pnpm build

Use node packages/cli/dist/index.js instead of fastbackend below if you have not installed the CLI globally.

Run the FastAPI example (Python)

cd fastbackend/examples/sqlalchemy-fastapi
pip install -r requirements.txt
cp .env.example .env
fastbackend generate
fastbackend dev

Open http://localhost:8301/ for the API overview. See examples/sqlalchemy-fastapi/README.md for custom endpoints, overrides, and tests.

Run the Express example (TypeScript + Prisma)

Requires PostgreSQL. Start a local database (Docker example):

docker run -d --name fb-prisma-express \
  -e POSTGRES_PASSWORD=postgres \
  -e POSTGRES_DB=prisma_express \
  -p 5432:5432 postgres:16

Then run the app:

cd fastbackend/examples/prisma-express
npm install
cp .env.example .env
npx prisma migrate dev
fastbackend generate
fastbackend dev

Open http://localhost:3001/ for the API overview. See examples/prisma-express/README.md for details.

The CLI loads .env automatically for dev, generate, migrate, and test. Copy from .env.example once per project; see each example README for the variables it uses.