Database and API

Best practices and guidelines for using GraphQL with Apollo Client in a React application.

Comprehensive guide on integrating and utilizing Axios with TypeScript for efficient API communication in your projects.

This document outlines best practices and coding standards for using Peewee ORM in Python development, covering code organization, common patterns, performance, security, testing, pitfalls, and tooling.

This document details best practices for Python apps with Pony ORM. It covers code organization, design patterns, performance optimization, security, testing, and more. Following these guidelines can enhance code maintainability, readability, performance, and security, while avoiding common pitfalls.

These rules cover various aspects of AWS DynamoDB development. It includes schema design (e.g., single - table design), code organization, design patterns, performance optimization (reducing RCUs/WCUs), security (preventing injection attacks), testing strategies (unit, integration, end - to - end), and tooling (using AWS CLI, SDK). They aim to ensure efficient, secure, and maintainable DynamoDB applications.

This document details best practices for using SQLAlchemy in Python projects. It covers code organization, common patterns, performance, security, testing, pitfalls, and tooling. Following these guidelines helps write maintainable, efficient, and secure code, with considerations for various aspects like architecture, optimization, and deployment.

This document offers comprehensive guidelines for Amazon S3 development. It covers security like access control and encryption, code organization, common patterns, performance optimization, testing approaches, and tooling. Following these can ensure secure, performant, maintainable, and cost - effective S3 integrations.