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Agent Skill · 前端设计

dotnet-backend-patterns(dotnet 后端模式)

dotnet-backend-patterns 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

dotnet-backend-patterns 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 71。

总安装 268,128周安装 11,425GitHub Stars 34,472下载 93,936核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dotnet-backend-patterns(dotnet 后端模式)
来源仓库:https://github.com/wshobson/agents
仓库路径:skills/dotnet-backend-patterns
安装命令:
npx skills add https://github.com/wshobson/agents --skill dotnet-backend-patterns
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/wshobson/agents --skill dotnet-backend-patterns

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

适用于 API、MCP 服务器和企业后端的生产级 C#/.NET 模式,具有现代异步、DI 和数据访问实践。

涵盖干净的架构项目结构、依赖注入生命周期以及 IOptions 模式的配置 异步/等待最佳实践,包括并行执行、ConfigureAwait 使用和热路径的 ValueTask 优化 具有查询优化、多重映射和性能注意事项的 Entity Framework Core 和 Dapper 存储库模式 使用 Redis 和内存缓存进行多级缓存,包括 stale-while-revalidate 和缓存失效策略 使用 xUnit、Moq 和 WebApplicationFactory 进行单元和集成测试;无异常的流量控制结果模式

来源仓库内路径:skills/dotnet-backend-patterns

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/wshobson/agents --skill dotnet-backend-pattern…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

dotnet-backend-patterns 怎么安装?

在终端执行 npx skills add https://github.com/wshobson/agents --skill dotnet-backend-patterns。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

dotnet-backend-patterns 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

dotnet-backend-patterns 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

dotnet-backend-patterns 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

dotnet-backend-patterns 用的人多吗?

公开数据是累计安装 268,128 次,近一周安装 11,425 次,下载 93,936 次,GitHub 34,472 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

dotnet-backend-patterns 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 34,472 星,维护活跃度相对可查。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
dotnet-backend-patterns

dotnet 后端模式 · 本页

268,12834,472调用外部服务MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

.NET Backend Development Patterns

Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025).

When to Use This Skill

  • Developing new.NET Web APIs or MCP servers
  • Reviewing C# code for quality and performance
  • Designing service architectures with dependency injection
  • Implementing caching strategies with Redis
  • Writing unit and integration tests
  • Optimizing database access with EF Core or Dapper
  • Configuring applications with IOptions pattern
  • Handling errors and implementing resilience patterns

Core Concepts

1. Project Structure (Clean Architecture)

src/
├── Domain/                     # Core business logic (no dependencies)
│   ├── Entities/
│   ├── Interfaces/
│   ├── Exceptions/
│   └── ValueObjects/
├── Application/                # Use cases, DTOs, validation
│   ├── Services/
│   ├── DTOs/
│   ├── Validators/
│   └── Interfaces/
├── Infrastructure/             # External implementations
│   ├── Data/                   # EF Core, Dapper repositories
│   ├── Caching/                # Redis, Memory cache
│   ├── External/               # HTTP clients, third-party APIs
│   └── DependencyInjection/    # Service registration
└── Api/                        # Entry point
    ├── Controllers/            # Or MinimalAPI endpoints
    ├── Middleware/
    ├── Filters/
    └── Program.cs

2. Dependency Injection Patterns

// Service registration by lifetime
public static class ServiceCollectionExtensions
{
    public static IServiceCollection AddApplicationServices(
        this IServiceCollection services,
        IConfiguration configuration)
    {
        // Scoped: One instance per HTTP request
        services.AddScoped<IProductService, ProductService>();
        services.AddScoped<IOrderService, OrderService>();

        // Singleton: One instance for app lifetime
        services.AddSingleton<ICacheService, RedisCacheService>();
        services.AddSingleton<IConnectionMultiplexer>(_ =>
            ConnectionMultiplexer.Connect(configuration["Redis:Connection"]!));

        // Transient: New instance every time
        services.AddTransient<IValidator<CreateOrderRequest>, CreateOrderValidator>();

        // Options pattern for configuration
        services.Configure<CatalogOptions>(configuration.GetSection("Catalog"));
        services.Configure<RedisOptions>(configuration.GetSection("Redis"));

        // Factory pattern for conditional creation
        services.AddScoped<IPriceCalculator>(sp =>
        {
            var options = sp.GetRequiredService<IOptions<PricingOptions>>().Value;
            return options.UseNewEngine
                ? sp.GetRequiredService<NewPriceCalculator>()
                : sp.GetRequiredService<LegacyPriceCalculator>();
        });

        // Keyed services (.NET 8+)
        services.AddKeyedScoped<IPaymentProcessor, StripeProcessor>("stripe");
        services.AddKeyedScoped<IPaymentProcessor, PayPalProcessor>("paypal");

        return services;
    }
}

// Usage with keyed services
public class CheckoutService
{
    public CheckoutService(
        [FromKeyedServices("stripe")] IPaymentProcessor stripeProcessor)
    {
        _processor = stripeProcessor;
    }
}

3. Async/Await Patterns

// ✅ CORRECT: Async all the way down
public async Task<Product> GetProductAsync(string id, CancellationToken ct = default)
{
    return await _repository.GetByIdAsync(id, ct);
}

// ✅ CORRECT: Parallel execution with WhenAll
public async Task<(Stock, Price)> GetStockAndPriceAsync(
    string productId,
    CancellationToken ct = default)
{
    var stockTask = _stockService.GetAsync(productId, ct);
    var priceTask = _priceService.GetAsync(productId, ct);

    await Task.WhenAll(stockTask, priceTask);

    return (await stockTask, await priceTask);
}

// ✅ CORRECT: ConfigureAwait in libraries
public async Task<T> LibraryMethodAsync<T>(CancellationToken ct = default)
{
    var result = await _httpClient.GetAsync(url, ct).ConfigureAwait(false);
    return await result.Content.ReadFromJsonAsync<T>(ct).ConfigureAwait(false);
}

// ✅ CORRECT: ValueTask for hot paths with caching
public ValueTask<Product?> GetCachedProductAsync(string id)
{
    if (_cache.TryGetValue(id, out Product? product))
        return ValueTask.FromResult(product);

    return new ValueTask<Product?>(GetFromDatabaseAsync(id));
}

// ❌ WRONG: Blocking on async (deadlock risk)
var result = GetProductAsync(id).Result;  // NEVER do this
var result2 = GetProductAsync(id).GetAwaiter().GetResult(); // Also bad

// ❌ WRONG: async void (except event handlers)
public async void ProcessOrder() { }  // Exceptions are lost

// ❌ WRONG: Unnecessary Task.Run for already async code
await Task.Run(async () => await GetDataAsync());  // Wastes thread

4. Configuration with IOptions

// Configuration classes
public class CatalogOptions
{
    public const string SectionName = "Catalog";

    public int DefaultPageSize { get; set; } = 50;
    public int MaxPageSize { get; set; } = 200;
    public TimeSpan CacheDuration { get; set; } = TimeSpan.FromMinutes(15);
    public bool EnableEnrichment { get; set; } = true;
}

public class RedisOptions
{
    public const string SectionName = "Redis";

    public string Connection { get; set; } = "localhost:6379";
    public string KeyPrefix { get; set; } = "mcp:";
    public int Database { get; set; } = 0;
}

// appsettings.json
{
    "Catalog": {
        "DefaultPageSize": 50,
        "MaxPageSize": 200,
        "CacheDuration": "00:15:00",
        "EnableEnrichment": true
    },
    "Redis": {
        "Connection": "localhost:6379",
        "KeyPrefix": "mcp:",
        "Database": 0
    }
}

// Registration
services.Configure<CatalogOptions>(configuration.GetSection(CatalogOptions.SectionName));
services.Configure<RedisOptions>(configuration.GetSection(RedisOptions.SectionName));

// Usage with IOptions (singleton, read once at startup)
public class CatalogService
{
    private readonly CatalogOptions _options;

    public CatalogService(IOptions<CatalogOptions> options)
    {
        _options = options.Value;
    }
}

// Usage with IOptionsSnapshot (scoped, re-reads on each request)
public class DynamicService
{
    private readonly CatalogOptions _options;

    public DynamicService(IOptionsSnapshot<CatalogOptions> options)
    {
        _options = options.Value;  // Fresh value per request
    }
}

// Usage with IOptionsMonitor (singleton, notified on changes)
public class MonitoredService
{
    private CatalogOptions _options;

    public MonitoredService(IOptionsMonitor<CatalogOptions> monitor)
    {
        _options = monitor.CurrentValue;
        monitor.OnChange(newOptions => _options = newOptions);
    }
}

5. Result Pattern (Avoiding Exceptions for Flow Control)

// Generic Result type
public class Result<T>
{
    public bool IsSuccess { get; }
    public T? Value { get; }
    public string? Error { get; }
    public string? ErrorCode { get; }

    private Result(bool isSuccess, T? value, string? error, string? errorCode)
    {
        IsSuccess = isSuccess;
        Value = value;
        Error = error;
        ErrorCode = errorCode;
    }

    public static Result<T> Success(T value) => new(true, value, null, null);
    public static Result<T> Failure(string error, string? code = null) => new(false, default, error, code);

    public Result<TNew> Map<TNew>(Func<T, TNew> mapper) =>
        IsSuccess ? Result<TNew>.Success(mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode);

    public async Task<Result<TNew>> MapAsync<TNew>(Func<T, Task<TNew>> mapper) =>
        IsSuccess ? Result<TNew>.Success(await mapper(Value!)) : Result<TNew>.Failure(Error!, ErrorCode);
}

// Usage in service
public async Task<Result<Order>> CreateOrderAsync(CreateOrderRequest request, CancellationToken ct)
{
    // Validation
    var validation = await _validator.ValidateAsync(request, ct);
    if (!validation.IsValid)
        return Result<Order>.Failure(
            validation.Errors.First().ErrorMessage,
            "VALIDATION_ERROR");

    // Business rule check
    var stock = await _stockService.CheckAsync(request.ProductId, request.Quantity, ct);
    if (!stock.IsAvailable)
        return Result<Order>.Failure(
            $"Insufficient stock: {stock.Available} available, {request.Quantity} requested",
            "INSUFFICIENT_STOCK");

    // Create order
    var order = await _repository.CreateAsync(request.ToEntity(), ct);

    return Result<Order>.Success(order);
}

// Usage in controller/endpoint
app.MapPost("/orders", async (
    CreateOrderRequest request,
    IOrderService orderService,
    CancellationToken ct) =>
{
    var result = await orderService.CreateOrderAsync(request, ct);

    return result.IsSuccess
        ? Results.Created($"/orders/{result.Value!.Id}", result.Value)
        : Results.BadRequest(new { error = result.Error, code = result.ErrorCode });
});

Data Access Patterns

Entity Framework Core

// DbContext configuration
public class AppDbContext : DbContext
{
    public DbSet<Product> Products => Set<Product>();
    public DbSet<Order> Orders => Set<Order>();

    protected override void OnModelCreating(ModelBuilder modelBuilder)
    {
        // Apply all configurations from assembly
        modelBuilder.ApplyConfigurationsFromAssembly(typeof(AppDbContext).Assembly);

        // Global query filters
        modelBuilder.Entity<Product>().HasQueryFilter(p => !p.IsDeleted);
    }
}

// Entity configuration
public class ProductConfiguration : IEntityTypeConfiguration<Product>
{
    public void Configure(EntityTypeBuilder<Product> builder)
    {
        builder.ToTable("Products");

        builder.HasKey(p => p.Id);
        builder.Property(p => p.Id).HasMaxLength(40);
        builder.Property(p => p.Name).HasMaxLength(200).IsRequired();
        builder.Property(p => p.Price).HasPrecision(18, 2);

        builder.HasIndex(p => p.Sku).IsUnique();
        builder.HasIndex(p => new { p.CategoryId, p.Name });

        builder.HasMany(p => p.OrderItems)
            .WithOne(oi => oi.Product)
            .HasForeignKey(oi => oi.ProductId);
    }
}

// Repository with EF Core
public class ProductRepository : IProductRepository
{
    private readonly AppDbContext _context;

    public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
    {
        return await _context.Products
            .AsNoTracking()
            .FirstOrDefaultAsync(p => p.Id == id, ct);
    }

    public async Task<IReadOnlyList<Product>> SearchAsync(
        ProductSearchCriteria criteria,
        CancellationToken ct = default)
    {
        var query = _context.Products.AsNoTracking();

        if (!string.IsNullOrWhiteSpace(criteria.SearchTerm))
            query = query.Where(p => EF.Functions.Like(p.Name, $"%{criteria.SearchTerm}%"));

        if (criteria.CategoryId.HasValue)
            query = query.Where(p => p.CategoryId == criteria.CategoryId);

        if (criteria.MinPrice.HasValue)
            query = query.Where(p => p.Price >= criteria.MinPrice);

        if (criteria.MaxPrice.HasValue)
            query = query.Where(p => p.Price <= criteria.MaxPrice);

        return await query
            .OrderBy(p => p.Name)
            .Skip((criteria.Page - 1) * criteria.PageSize)
            .Take(criteria.PageSize)
            .ToListAsync(ct);
    }
}

Dapper for Performance

public class DapperProductRepository : IProductRepository
{
    private readonly IDbConnection _connection;

    public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
    {
        const string sql = """
            SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt
            FROM Products
            WHERE Id = @Id AND IsDeleted = 0
            """;

        return await _connection.QueryFirstOrDefaultAsync<Product>(
            new CommandDefinition(sql, new { Id = id }, cancellationToken: ct));
    }

    public async Task<IReadOnlyList<Product>> SearchAsync(
        ProductSearchCriteria criteria,
        CancellationToken ct = default)
    {
        var sql = new StringBuilder("""
            SELECT Id, Name, Sku, Price, CategoryId, Stock, CreatedAt
            FROM Products
            WHERE IsDeleted = 0
            """);

        var parameters = new DynamicParameters();

        if (!string.IsNullOrWhiteSpace(criteria.SearchTerm))
        {
            sql.Append(" AND Name LIKE @SearchTerm");
            parameters.Add("SearchTerm", $"%{criteria.SearchTerm}%");
        }

        if (criteria.CategoryId.HasValue)
        {
            sql.Append(" AND CategoryId = @CategoryId");
            parameters.Add("CategoryId", criteria.CategoryId);
        }

        if (criteria.MinPrice.HasValue)
        {
            sql.Append(" AND Price >= @MinPrice");
            parameters.Add("MinPrice", criteria.MinPrice);
        }

        if (criteria.MaxPrice.HasValue)
        {
            sql.Append(" AND Price <= @MaxPrice");
            parameters.Add("MaxPrice", criteria.MaxPrice);
        }

        sql.Append(" ORDER BY Name OFFSET @Offset ROWS FETCH NEXT @PageSize ROWS ONLY");
        parameters.Add("Offset", (criteria.Page - 1) * criteria.PageSize);
        parameters.Add("PageSize", criteria.PageSize);

        var results = await _connection.QueryAsync<Product>(
            new CommandDefinition(sql.ToString(), parameters, cancellationToken: ct));

        return results.ToList();
    }

    // Multi-mapping for related data
    public async Task<Order?> GetOrderWithItemsAsync(int orderId, CancellationToken ct = default)
    {
        const string sql = """
            SELECT o.*, oi.*, p.*
            FROM Orders o
            LEFT JOIN OrderItems oi ON o.Id = oi.OrderId
            LEFT JOIN Products p ON oi.ProductId = p.Id
            WHERE o.Id = @OrderId
            """;

        var orderDictionary = new Dictionary<int, Order>();

        await _connection.QueryAsync<Order, OrderItem, Product, Order>(
            new CommandDefinition(sql, new { OrderId = orderId }, cancellationToken: ct),
            (order, item, product) =>
            {
                if (!orderDictionary.TryGetValue(order.Id, out var existingOrder))
                {
                    existingOrder = order;
                    existingOrder.Items = new List<OrderItem>();
                    orderDictionary.Add(order.Id, existingOrder);
                }

                if (item != null)
                {
                    item.Product = product;
                    existingOrder.Items.Add(item);
                }

                return existingOrder;
            },
            splitOn: "Id,Id");

        return orderDictionary.Values.FirstOrDefault();
    }
}

Caching Patterns

Multi-Level Cache with Redis

public class CachedProductService : IProductService
{
    private readonly IProductRepository _repository;
    private readonly IMemoryCache _memoryCache;
    private readonly IDistributedCache _distributedCache;
    private readonly ILogger<CachedProductService> _logger;

    private static readonly TimeSpan MemoryCacheDuration = TimeSpan.FromMinutes(1);
    private static readonly TimeSpan DistributedCacheDuration = TimeSpan.FromMinutes(15);

    public async Task<Product?> GetByIdAsync(string id, CancellationToken ct = default)
    {
        var cacheKey = $"product:{id}";

        // L1: Memory cache (in-process, fastest)
        if (_memoryCache.TryGetValue(cacheKey, out Product? cached))
        {
            _logger.LogDebug("L1 cache hit for {CacheKey}", cacheKey);
            return cached;
        }

        // L2: Distributed cache (Redis)
        var distributed = await _distributedCache.GetStringAsync(cacheKey, ct);
        if (distributed != null)
        {
            _logger.LogDebug("L2 cache hit for {CacheKey}", cacheKey);
            var product = JsonSerializer.Deserialize<Product>(distributed);

            // Populate L1
            _memoryCache.Set(cacheKey, product, MemoryCacheDuration);
            return product;
        }

        // L3: Database
        _logger.LogDebug("Cache miss for {CacheKey}, fetching from database", cacheKey);
        var fromDb = await _repository.GetByIdAsync(id, ct);

        if (fromDb != null)
        {
            var serialized = JsonSerializer.Serialize(fromDb);

            // Populate both caches
            await _distributedCache.SetStringAsync(
                cacheKey,
                serialized,
                new DistributedCacheEntryOptions
                {
                    AbsoluteExpirationRelativeToNow = DistributedCacheDuration
                },
                ct);

            _memoryCache.Set(cacheKey, fromDb, MemoryCacheDuration);
        }

        return fromDb;
    }

    public async Task InvalidateAsync(string id, CancellationToken ct = default)
    {
        var cacheKey = $"product:{id}";

        _memoryCache.Remove(cacheKey);
        await _distributedCache.RemoveAsync(cacheKey, ct);

        _logger.LogInformation("Invalidated cache for {CacheKey}", cacheKey);
    }
}

// Stale-while-revalidate pattern
public class StaleWhileRevalidateCache<T>
{
    private readonly IDistributedCache _cache;
    private readonly TimeSpan _freshDuration;
    private readonly TimeSpan _staleDuration;

    public async Task<T?> GetOrCreateAsync(
        string key,
        Func<CancellationToken, Task<T>> factory,
        CancellationToken ct = default)
    {
        var cached = await _cache.GetStringAsync(key, ct);

        if (cached != null)
        {
            var entry = JsonSerializer.Deserialize<CacheEntry<T>>(cached)!;

            if (entry.IsStale && !entry.IsExpired)
            {
                // Return stale data immediately, refresh in background
                _ = Task.Run(async () =>
                {
                    var fresh = await factory(CancellationToken.None);
                    await SetAsync(key, fresh, CancellationToken.None);
                });
            }

            if (!entry.IsExpired)
                return entry.Value;
        }

        // Cache miss or expired
        var value = await factory(ct);
        await SetAsync(key, value, ct);
        return value;
    }

    private record CacheEntry<TValue>(TValue Value, DateTime CreatedAt)
    {
        public bool IsStale => DateTime.UtcNow - CreatedAt > _freshDuration;
        public bool IsExpired => DateTime.UtcNow - CreatedAt > _staleDuration;
    }
}

Testing Patterns

Unit Tests with xUnit and Moq

public class OrderServiceTests
{
    private readonly Mock<IOrderRepository> _mockRepository;
    private readonly Mock<IStockService> _mockStockService;
    private readonly Mock<IValidator<CreateOrderRequest>> _mockValidator;
    private readonly OrderService _sut; // System Under Test

    public OrderServiceTests()
    {
        _mockRepository = new Mock<IOrderRepository>();
        _mockStockService = new Mock<IStockService>();
        _mockValidator = new Mock<IValidator<CreateOrderRequest>>();

        // Default: validation passes
        _mockValidator
            .Setup(v => v.ValidateAsync(It.IsAny<CreateOrderRequest>(), It.IsAny<CancellationToken>()))
            .ReturnsAsync(new ValidationResult());

        _sut = new OrderService(
            _mockRepository.Object,
            _mockStockService.Object,
            _mockValidator.Object);
    }

    [Fact]
    public async Task CreateOrderAsync_WithValidRequest_ReturnsSuccess()
    {
        // Arrange
        var request = new CreateOrderRequest
        {
            ProductId = "PROD-001",
            Quantity = 5,
            CustomerOrderCode = "ORD-2024-001"
        };

        _mockStockService
            .Setup(s => s.CheckAsync("PROD-001", 5, It.IsAny<CancellationToken>()))
            .ReturnsAsync(new StockResult { IsAvailable = true, Available = 10 });

        _mockRepository
            .Setup(r => r.CreateAsync(It.IsAny<Order>(), It.IsAny<CancellationToken>()))
            .ReturnsAsync(new Order { Id = 1, CustomerOrderCode = "ORD-2024-001" });

        // Act
        var result = await _sut.CreateOrderAsync(request);

        // Assert
        Assert.True(result.IsSuccess);
        Assert.NotNull(result.Value);
        Assert.Equal(1, result.Value.Id);

        _mockRepository.Verify(
            r => r.CreateAsync(It.Is<Order>(o => o.CustomerOrderCode == "ORD-2024-001"),
            It.IsAny<CancellationToken>()),
            Times.Once);
    }

    [Fact]
    public async Task CreateOrderAsync_WithInsufficientStock_ReturnsFailure()
    {
        // Arrange
        var request = new CreateOrderRequest { ProductId = "PROD-001", Quantity = 100 };

        _mockStockService
            .Setup(s => s.CheckAsync(It.IsAny<string>(), It.IsAny<int>(), It.IsAny<CancellationToken>()))
            .ReturnsAsync(new StockResult { IsAvailable = false, Available = 5 });

        // Act
        var result = await _sut.CreateOrderAsync(request);

        // Assert
        Assert.False(result.IsSuccess);
        Assert.Equal("INSUFFICIENT_STOCK", result.ErrorCode);
        Assert.Contains("5 available", result.Error);

        _mockRepository.Verify(
            r => r.CreateAsync(It.IsAny<Order>(), It.IsAny<CancellationToken>()),
            Times.Never);
    }

    [Theory]
    [InlineData(0)]
    [InlineData(-1)]
    [InlineData(-100)]
    public async Task CreateOrderAsync_WithInvalidQuantity_ReturnsValidationError(int quantity)
    {
        // Arrange
        var request = new CreateOrderRequest { ProductId = "PROD-001", Quantity = quantity };

        _mockValidator
            .Setup(v => v.ValidateAsync(request, It.IsAny<CancellationToken>()))
            .ReturnsAsync(new ValidationResult(new[]
            {
                new ValidationFailure("Quantity", "Quantity must be greater than 0")
            }));

        // Act
        var result = await _sut.CreateOrderAsync(request);

        // Assert
        Assert.False(result.IsSuccess);
        Assert.Equal("VALIDATION_ERROR", result.ErrorCode);
    }
}

Integration Tests with WebApplicationFactory

public class ProductsApiTests : IClassFixture<WebApplicationFactory<Program>>
{
    private readonly WebApplicationFactory<Program> _factory;
    private readonly HttpClient _client;

    public ProductsApiTests(WebApplicationFactory<Program> factory)
    {
        _factory = factory.WithWebHostBuilder(builder =>
        {
            builder.ConfigureServices(services =>
            {
                // Replace real database with in-memory
                services.RemoveAll<DbContextOptions<AppDbContext>>();
                services.AddDbContext<AppDbContext>(options =>
                    options.UseInMemoryDatabase("TestDb"));

                // Replace Redis with memory cache
                services.RemoveAll<IDistributedCache>();
                services.AddDistributedMemoryCache();
            });
        });

        _client = _factory.CreateClient();
    }

    [Fact]
    public async Task GetProduct_WithValidId_ReturnsProduct()
    {
        // Arrange
        using var scope = _factory.Services.CreateScope();
        var context = scope.ServiceProvider.GetRequiredService<AppDbContext>();

        context.Products.Add(new Product
        {
            Id = "TEST-001",
            Name = "Test Product",
            Price = 99.99m
        });
        await context.SaveChangesAsync();

        // Act
        var response = await _client.GetAsync("/api/products/TEST-001");

        // Assert
        response.EnsureSuccessStatusCode();
        var product = await response.Content.ReadFromJsonAsync<Product>();
        Assert.Equal("Test Product", product!.Name);
    }

    [Fact]
    public async Task GetProduct_WithInvalidId_Returns404()
    {
        // Act
        var response = await _client.GetAsync("/api/products/NONEXISTENT");

        // Assert
        Assert.Equal(HttpStatusCode.NotFound, response.StatusCode);
    }
}

Best Practices

DO

  1. Use async/await all the way through the call stack
  2. Inject dependencies through constructor injection
  3. Use IOptions for typed configuration
  4. Return Result types instead of throwing exceptions for business logic
  5. Use CancellationToken in all async methods
  6. Prefer Dapper for read-heavy, performance-critical queries
  7. Use EF Core for complex domain models with change tracking
  8. Cache aggressively with proper invalidation strategies
  9. Write unit tests for business logic, integration tests for APIs
  10. Use record types for DTOs and immutable data

DON'T

  1. Don't block on async with .Result or .Wait()
  2. Don't use async void except for event handlers
  3. Don't catch generic Exception without re-throwing or logging
  4. Don't hardcode configuration values
  5. Don't expose EF entities directly in APIs (use DTOs)
  6. Don't forget AsNoTracking() for read-only queries
  7. Don't ignore CancellationToken parameters
  8. Don't create new HttpClient() manually (use IHttpClientFactory)
  9. Don't mix sync and async code unnecessarily
  10. Don't skip validation at API boundaries

Common Pitfalls

  • N+1 Queries: Use .Include() or explicit joins
  • Memory Leaks: Dispose IDisposable resources, use using
  • Deadlocks: Don't mix sync and async, use ConfigureAwait(false) in libraries
  • Over-fetching: Select only needed columns, use projections
  • Missing Indexes: Check query plans, add indexes for common filters
  • Timeout Issues: Configure appropriate timeouts for HTTP clients
  • Cache Stampede: Use distributed locks for cache population

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