moai-platform-neon

moai-platform-neon: Neon Serverless PostgreSQL Specialist

Quick Reference

Neon Serverless PostgreSQL Expertise: Specialized knowledge for Neon serverless PostgreSQL covering auto-scaling, scale-to-zero compute, database branching, Point-in-Time Recovery, and modern ORM integration.

Core Capabilities

Serverless Compute: Auto-scaling PostgreSQL with scale-to-zero for cost optimization Database Branching: Instant copy-on-write branches for dev, staging, and preview environments Point-in-Time Recovery: 30-day PITR with instant restore to any timestamp Connection Pooling: Built-in connection pooler for serverless and edge compatibility PostgreSQL 16: Full PostgreSQL 16 compatibility with extensions support

Quick Decision Guide

Need serverless PostgreSQL with auto-scaling: Use Neon Need database branching for CI/CD: Use Neon branching Need edge-compatible database: Use Neon with connection pooling Need instant preview environments: Use Neon branch per PR Need vector search: Consider Supabase with pgvector instead

Context7 Documentation Access

To fetch the latest Neon documentation:

Step 1: Resolve the library ID using mcp__context7__resolve-library-id with library name "neondatabase/neon"

Step 2: Fetch documentation using mcp__context7__get-library-docs with the resolved Context7 ID, specifying topics like "branching", "connection pooling", or "auto-scaling"

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Module Index

This skill is organized into focused modules for progressive disclosure:

Core Modules

Database Branching: Copy-on-write branches for development, preview environments, and CI/CD integration with GitHub Actions

Auto-Scaling and Compute: Compute unit configuration, scale-to-zero settings, and cost optimization strategies

Connection Pooling: Serverless connection pooling for edge runtimes, WebSocket configuration, and pool sizing

PITR and Backups: Point-in-time recovery, branch restoration, and backup strategies

Supporting Files

Reference Guide: API reference, environment configuration, and provider comparison

Code Examples: Complete working examples for common integration patterns

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Implementation Guide

Setup and Configuration

Package Installation:

npm install @neondatabase/serverless
npm install drizzle-orm  # Optional: Drizzle ORM
npm install @prisma/client prisma  # Optional: Prisma ORM

Environment Configuration:

# Direct connection (for migrations)
DATABASE_URL=postgresql://user:pass@ep-xxx.region.neon.tech/dbname?sslmode=require

# Pooled connection (for serverless/edge)
DATABASE_URL_POOLED=postgresql://user:pass@ep-xxx-pooler.region.neon.tech/dbname?sslmode=require

# Neon API for branching
NEON_API_KEY=neon_api_key_xxx
NEON_PROJECT_ID=project-xxx

Serverless Driver Usage

Basic Query Execution:

import { neon } from '@neondatabase/serverless'

const sql = neon(process.env.DATABASE_URL!)

// Simple query
const users = await sql`SELECT * FROM users WHERE active = true`

// Parameterized query (SQL injection safe)
const userId = 'user-123'
const user = await sql`SELECT * FROM users WHERE id = ${userId}`

// Transaction support
const result = await sql.transaction([
  sql`UPDATE accounts SET balance = balance - 100 WHERE id = ${fromId}`,
  sql`UPDATE accounts SET balance = balance + 100 WHERE id = ${toId}`
])

Drizzle ORM Integration

Schema Definition:

import { pgTable, uuid, text, timestamp, boolean, jsonb } from 'drizzle-orm/pg-core'

export const users = pgTable('users', {
  id: uuid('id').primaryKey().defaultRandom(),
  email: text('email').notNull().unique(),
  name: text('name'),
  createdAt: timestamp('created_at').defaultNow(),
  metadata: jsonb('metadata')
})

Drizzle Client Setup:

import { neon } from '@neondatabase/serverless'
import { drizzle } from 'drizzle-orm/neon-http'
import * as schema from './schema'

const sql = neon(process.env.DATABASE_URL!)
export const db = drizzle(sql, { schema })

// Query examples
const allUsers = await db.select().from(schema.users)

Prisma ORM Integration

Prisma with Neon Serverless Driver:

import { Pool, neonConfig } from '@neondatabase/serverless'
import { PrismaNeon } from '@prisma/adapter-neon'
import { PrismaClient } from '@prisma/client'

neonConfig.webSocketConstructor = require('ws')

const pool = new Pool({ connectionString: process.env.DATABASE_URL })
const adapter = new PrismaNeon(pool)
export const prisma = new PrismaClient({ adapter })

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Provider Decision Guide

When to Use Neon

Serverless Applications: Auto-scaling and scale-to-zero reduce costs significantly Preview Environments: Instant branching enables per-PR databases with production data Edge Deployment: Connection pooling provides edge runtime compatibility Development Workflow: Branch from production for realistic development data Cost Optimization: Pay only for active compute time with scale-to-zero

When to Consider Alternatives

Need Vector Search: Consider Supabase with pgvector or dedicated vector database Need Real-time Subscriptions: Consider Supabase or Convex for real-time features Need NoSQL Flexibility: Consider Firestore or Convex for document storage Need Built-in Auth: Consider Supabase for integrated authentication

Pricing Reference

Free Tier: 3GB storage, 100 compute hours per month Pro Tier: Usage-based pricing with additional storage and compute Scale-to-Zero: No charges during idle periods

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Works Well With

• moai-platform-supabase - Alternative when RLS or pgvector needed
• moai-lang-typescript - TypeScript patterns for Drizzle and Prisma
• moai-domain-backend - Backend architecture with database integration
• moai-domain-database - General database patterns and optimization

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Status: Production Ready Version: 2.0.0 Generated with: MoAI-ADK Skill Factory v2.0 Last Updated: 2026-01-06 Technology: Neon Serverless PostgreSQL