dotnet-backend-patterns

Clean Architecture in a .NET backend separates concerns into distinct layers, ensuring dependency inversion and maintainable enterprise APIs. This Skill provides in-depth guidance and code examples to structure your C# application following these modern architectural boundaries.

Choosing between Entity Framework Core and Dapper for .NET data access depends on your need for abstraction versus raw performance. This Skill provides code examples mastering both ORM and micro-ORM patterns for efficient data persistence.

Configuring dependency injection in C# with IOptions binds strongly-typed configuration settings to your service classes. You can use this Skill to generate a C# example implementing DI with IOptions for robust application settings.

Asynchronous programming with async/await improves API scalability by freeing threads during I/O operations. This Skill offers guidance on implementing these patterns to build performant and scalable .NET backend services.

Writing effective tests for .NET APIs involves using xUnit to validate both individual components and integration flows. This Skill provides comprehensive testing guidance to ensure your backend application remains robust and maintainable.

Caching strategies in a .NET backend should be implemented to reduce database load and improve API response times. This Skill addresses how to integrate caching and robust error handling for resilient enterprise applications.