How does this skill improve system testability?

By implementing ports and adapters, it allows you to test core business logic in isolation by easily swapping real infrastructure for mocks or stubs.

Does it include code implementation examples?

Yes, the skill provides directory structures and concrete implementation examples for entities, use cases, ports, and adapters.

Is the guidance limited to a specific programming language?

While examples are often shown in Python, the architectural patterns and principles provided are universal and can be applied to any backend language like Go, Java, or Node.js.

Can I use this for refactoring existing projects?

Yes, it is specifically designed to help transition tightly coupled or monolithic applications into modular, loosely coupled architectures.

Backend Architecture Patterns

Name: Backend Architecture Patterns
Author: lifangda

bylifangda

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API Development

Implements proven backend architecture patterns like Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable and scalable systems.

About

This skill empowers developers to architect robust backend systems using industry-standard patterns. It provides actionable guidance and implementation templates for Clean Architecture, Hexagonal Architecture (Ports and Adapters), and Domain-Driven Design (DDD). Whether you are starting a project from scratch or refactoring a legacy monolith, this skill helps establish clear boundaries between business logic and external dependencies, ensuring codebases remain testable, framework-agnostic, and easy to maintain as complexity grows.

Key Features

Standardized directory structures for Clean and Hexagonal architectures
16 GitHub stars
Guidance on decoupling business logic from frameworks and databases
Implementation patterns for DDD entities, value objects, and aggregates
Best practices for creating testable ports and adapters
Templates for use case orchestration and repository abstractions

Use Cases

Refactoring a tightly coupled monolithic application into a maintainable architecture
Designing a new scalable backend service from scratch with clear layer separation
Establishing team-wide architecture standards and domain boundaries for complex systems

About

Key Features

Standardized directory structures for Clean and Hexagonal architectures
16 GitHub stars
Guidance on decoupling business logic from frameworks and databases
Implementation patterns for DDD entities, value objects, and aggregates
Best practices for creating testable ports and adapters
Templates for use case orchestration and repository abstractions

Use Cases

Refactoring a tightly coupled monolithic application into a maintainable architecture
Designing a new scalable backend service from scratch with clear layer separation
Establishing team-wide architecture standards and domain boundaries for complex systems