Backend Recipes

Backend code is where AI demos quietly break — N+1 queries, missing transactions, leaked connections, and concurrency that only fails under load. These recipes show the prompts and workflows that catch those failures before production, for Cursor, Claude Code, and Codex alike. Battle-tested patterns for APIs, databases, and server-side development across the languages and frameworks you actually ship.

What’s in Backend Recipes?

Our backend cookbook covers server-side development patterns across popular languages and frameworks:

API Development

REST API design
GraphQL schemas
Authentication patterns
Rate limiting & validation

Database Patterns

Query optimization
Schema design
ORM best practices
Migration strategies

Language-Specific

Node.js / Python / Go
Java / PHP / Rust
Elixir / Serverless
Framework patterns

Cloud & Serverless

Serverless architectures
Edge computing
Microservices patterns
Event-driven design

Featured Recipes

API Design

API Patterns Design and implement RESTful and GraphQL APIs with authentication, validation, and error handling

Database Development

Database Patterns Optimize queries, design schemas, and implement efficient data access patterns

Node.js

Node.js Patterns Build performant Node.js services with Express, Fastify, and NestJS

Python

Python Patterns Develop Python backends with Django, FastAPI, and Flask

Go

Go Patterns Write idiomatic Go services with concurrency patterns and efficient APIs

Java

Java Patterns Build enterprise Java applications with Spring Boot and modern patterns

PHP

PHP Patterns Develop modern PHP applications with Laravel and Symfony

Rust

Rust Patterns Build high-performance Rust services with Actix, Axum, and Tokio

Elixir

Elixir Patterns Create fault-tolerant Elixir applications with Phoenix and OTP

Serverless

Serverless Patterns Deploy serverless functions and event-driven architectures across cloud platforms