backend

A set of rules for developing the backend of a web application using PostgreSQL, a database; Drizzle, a database access library; Next.js Server Actions, a way to run server-side code; and Vercel, a hosting platform.

In plain words
What is it for?
It guides database schema design, naming, migrations, input validation, permissions, query optimization, and the placement of database code.
Why use it?
It keeps database access, API behavior, security checks, performance work, and file organization consistent across the backend.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/materialize-labs/ai-optimized-starter-app/backend
Clone the repo
git clone --depth 1 https://github.com/materialize-labs/ai-optimized-starter-app

Made for: Cursor.

Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,619 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00009 $0.02619
Opus 5 $0.00005 $0.01309
Sonnet 5 $0.00002 $0.00524
Haiku 4.5 $0.00001 $0.00262

Measured 2d ago against content hash a7f2697e27aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

backend scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/backend.mdc · 435 lines

How it starts

The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backend Architecture Guidelines

This document outlines our backend architecture and coding standards. Our backend stack includes:

  • Database: PostgreSQL via Supabase
  • ORM: Drizzle for type-safe database access
  • API Layer: Next.js Server Actions
  • Infrastructure: Serverless via Vercel

Core Principles

  1. Type Safety: Maintain full type safety between database and application code
  2. Scalability: Design for scale from the beginning
  3. Maintainability: Follow consistent patterns across the codebase
  4. Security: Validate all inputs and handle user permissions properly
  5. Performance: Optimize database queries and API responses

Database Schema Design

Directory Structure

db/
├── db.ts                # Main database configuration
├── index.ts             # Public exports
├── migrations/          # Database migrations
└── schema/              # Database schema definitions
    ├── [entity].ts  # Individual entity schemas

Schema Definition Standards

Naming Conventions
  • Use kebab-case for files: contacts.ts
  • Use camelCase for table and column names in code
  • Use snake_case for the actual database column names
  • Export types with standardized prefixes: Select[Entity] and Insert[Entity]
Required Fields

All tables should include these standard fields:

{
  // Always use UUID for primary keys
  id: uuid("id").defaultRandom().primaryKey(),
  
  // User association (when applicable)
  userId: text("user_id").notNull(),
  
  // Timestamps
  createdAt: timestamp("created_at", { withTimezone: true }).defaultNow().notNull(),
  updatedAt: timestamp("updated_at", { withTimezone: true })
    .defaultNow()
    .notNull()
    .$onUpdate(() => new Date())
}
Using Enums

For fields with a fixed set of values, use PostgreSQL enums:

import { pgEnum } from "drizzle-orm/pg-core"

// Define the enum
export const statusEnum = pgEnum("status", ["active", "pending", "archived"])

// Use it in your schema
status: statusEnum("status").notNull().default("pending")

Read the full file on GitHub · 435 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 435 lines · 9 tokens per session scan A a7f2697e27aa

Subscribe to this mod's changes

backend is a cursor rule published in the GitHub repository materialize-labs/ai-optimized-starter-app (16 stars, last pushed 1y ago), licensed MIT. It adds 9 tokens to every session and 2,619 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.