Dotnet Best Practices

• Use constructor dependency injection with null checks via ArgumentNullException
• Register services with appropriate lifetimes (Singleton, Scoped, Transient)
• Use Microsoft.Extensions.DependencyInjection patterns
• Implement service interfaces for testability

Resource Management & Localization

• Use ResourceManager for localized messages and error strings
• Separate LogMessages and ErrorMessages resource files
• Access resources via _resourceManager.GetString("MessageKey")

Async/Await Patterns

• Use async/await for all I/O operations and long-running tasks
• Return Task or Task<T> from async methods
• Use ConfigureAwait(false) where appropriate
• Handle async exceptions properly

Testing Standards

• Use MSTest framework with FluentAssertions for assertions
• Follow AAA pattern (Arrange, Act, Assert)
• Use Moq for mocking dependencies
• Test both success and failure scenarios
• Include null parameter validation tests

Configuration & Settings

• Use strongly-typed configuration classes with data annotations
• Implement validation attributes (Required, NotEmptyOrWhitespace)
• Use IConfiguration binding for settings
• Support appsettings.json configuration files

Semantic Kernel & AI Integration

• Use Microsoft.SemanticKernel for AI operations
• Implement proper kernel configuration and service registration
• Handle AI model settings (ChatCompletion, Embedding, etc.)
• Use structured output patterns for reliable AI responses

Error Handling & Logging

• Use structured logging with Microsoft.Extensions.Logging
• Include scoped logging with meaningful context
• Throw specific exceptions with descriptive messages
• Use try-catch blocks for expected failure scenarios

Performance & Security

• Use C# 12+ features and .NET 8 optimizations where applicable
• Implement proper input validation and sanitization
• Use parameterized queries for database operations
• Follow secure coding practices for AI/ML operations

Code Quality

• Ensure SOLID principles compliance
• Avoid code duplication through base classes and utilities
• Use meaningful names that reflect domain concepts
• Keep methods focused and cohesive
• Implement proper disposal patterns for resources