AI for Backend Development

Design your backend
Deploy in minutes

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You have ideas. The backend gets in the way.

I don't know how to design my database schema or authI have an idea, but I don't know how to build the backendWhy is connecting APIs so complicated?
How do I connect a domain and set up HTTPS?Setting up a server feels way too complicated.Every deploy throws errors I can't explain
I don't even know where to start with securityWhen something breaks, I don't know why or how to fix itWhat happens if my server goes down?

Is the backend holding you back?

You've got enough to do.

You shouldn't have to worry

about your backend.

From design to operations,

in one seamless workflow.

1Planning & Documentation
2Code Generation
3Deployment
4Monitoring & Operations
Plan with confidence.
Documentation, automated
Generate production-ready
backend code
Deploy in minutes
Infrastructure handled
Monitoring to maintenance
Handled for you
API ServerCommon error format
Markdown
Goal

An example backend that BackendX designed, generated, and deployed from requirements alone. It runs the in-game store for an indie studio, handling player accounts, item catalogs, payments, and currency grants through a single API. Auth, catalog, order, and payment endpoints ship with the database schema and deployment — no terminal required.

1. User registration & authentication
1-1 Player account OAuth login
Architecture context (from):
Client traffic reaches store_api over HTTP via reverse_proxy; the production environment is expected to be served over HTTPS.
OAuth access token from the game client
{ "code": "string", "message": "string", "details": {"any": "object"} "trace_id": "string" }
2. Store browsing & checkout
2-1 Category-based item discovery
Architecture context (from):
Players browse items by category and price filters, with results sorted by display rank.
Once payment is approved, items and currency are granted to the player account immediately.
GET /store/items { "category": "weapon", "max_price": 9.99, "currency": "USD" }
main.py
import requests # 1) Sign up response = requests.post( "https://api.example.com/api/v1/auth/register", json={ "email": "user@backendx.ai", "password": "password123", "display_name": "BackendX", }, ) print(response.json()) # 2) Log in (issue token) response = requests.post( "https://api.example.com/api/v1/auth/login", json={ "email": "user@backendx.ai", "password": "password123", }, ) token = response.json()["access_token"] # 3) Authenticated request (create a post) response = requests.post( "https://api.example.com/api/v1/posts", headers={"Authorization": f"Bearer {token}"}, json={ "title": "My first post", "content": "Deployed in 5 minutes with BackendX.", }, ) print(response.json()) # 4) List posts response = requests.get( "https://api.example.com/api/v1/posts", headers={"Authorization": f"Bearer {token}"}, params={"page": 1, "limit": 10}, ) print(response.json())
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Last 24 hours ▾
Open0
Investigating1
Resolved3

Recently resolved

OpenAI API response error (4xx)
4:32 PM · recovered in nn.s
OpenAI API response error (4xx)
4:32 PM · recovered in nn.s
OpenAI API response error (4xx)
4:32 PM · recovered in nn.s

Traffic

7.3GB / 10GB

73%
2026.01.15
nnn requests
Jan 1Jan 8Jan 15Jan 22Jan 29

At your current usage, you'll reach your limit around Jan 27.
We'll email you when you reach 80% and 90% of your limit.

API Usage
12,400 calls
12% of your monthly quota used(12,400 / 100,000 calls)
12%
AI integration

Keep building in the
AI tools you already use

AI prompts for your frontend

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build your frontend faster

Every backend ships with its API docs. Copy the prompt with one click and paste it into the AI coding tool you already use.

MCP for AI agentsNEW

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let your agent run the backend

Connect BackendX to agents like Claude and Codex, then build and deploy through conversation alone, without opening the app.

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BackendX | From backend design to production, without a terminal