awesome-copilot/prompts/dotnet_best_practices.prompt.md
Daniel Scott-Raynsford 8229a03986 feat: Add comprehensive documentation prompts for OO components, specifications, and .NET best practices
- Introduced a prompt for creating standardized documentation for object-oriented components, adhering to industry best practices and architectural standards.
- Added a prompt for generating new specification files optimized for Generative AI consumption, including best practices for AI-ready specifications.
- Created a prompt for reviewing .NET/C# code against best practices, focusing on documentation, design patterns, dependency injection, and error handling.
- Developed a prompt for reviewing design pattern implementations in .NET/C# code, providing a checklist and improvement focus areas.
- Implemented a prompt for updating Azure Verified Modules in Bicep files to the latest versions, including a breaking change policy.
- Added a prompt for updating existing implementation plans with new requirements or updates to existing code.
- Created a prompt for updating the llms.txt file to reflect changes in documentation or specifications.
- Developed a prompt for updating markdown file sections with an index/table of files from specified folders.
- Introduced a prompt for updating existing object-oriented component documentation based on current implementation.
- Added a prompt for updating existing specifications based on new requirements or code updates.
2025-07-06 11:01:46 +12:00

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.NET/C# Best Practices

Your task is to ensure .NET/C# code in ${selection} meets the best practices specific to the this soltion/project. This includes:

Documentation & Structure

  • Create comprehensive XML documentation comments for all public classes, interfaces, methods, and properties
  • Include parameter descriptions and return value descriptions in XML comments
  • Follow the established namespace structure: {Core|Console|App|Service}.{Feature}

Design Patterns & Architecture

  • Use primary constructor syntax for dependency injection (e.g., public class MyClass(IDependency dependency))
  • Implement the Command Handler pattern with generic base classes (e.g., CommandHandler<TOptions>)
  • Use interface segregation with clear naming conventions (prefix interfaces with 'I')
  • Follow the Factory pattern for complex object creation.

Dependency Injection & Services

  • 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 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