Many C# developers unintentionally introduce inefficiencies and bugs into their code without realizing the long-term impact. Writing clean and maintainable code is key to building robust applications that are easier to debug, extend, and optimize.
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Here are 10 common coding mistakes you should fix today, along with examples and best practices.
1. Avoid Magic Strings and Numbers
Problem: Hard-coded values scattered throughout your code make maintenance a nightmare. Changing one value means hunting through the entire code base to update it, risking inconsistency and errors.
Example — Bad Practice
if (userRole == "Admin")
{
// Perform admin-specific tasks
}
Why it’s bad: “Admin” is a magic string here — no context, no validation, and error-prone if misspelled.
Better Approach: Use constants or enums to centralize these values.
public static class UserRoles
{
public const string Admin = "Admin";
public const string User = "User";
}
if (userRole == UserRoles.Admin)
{
// Perform admin-specific tasks
}
2. Excessive Comments
Problem: If your code needs too many comments to be understood, the code itself might be unclear or poorly written.
Example — Bad Practice
// Set i to 0
int i = 0;
// Increment i by 1
i++;
// Check if i is greater than 10
if (i > 10) {
// Print i
Console.WriteLine(i);
}
Why it’s bad: Comments should explain why something is done, not what, which should be clear from the code.
Better Approach: Write self-explanatory code using meaningful variable/method names.
// Instead of:
int i = 0;
i++;
// Better:
int currentUserCount = 0;
currentUserCount++;
if (currentUserCount > 10) {
Console.WriteLine(currentUserCount);
}
Use comments sparingly for explaining complex logic, not trivial lines.
3. Manual String Concatenation in Loops
Problem: Using + to concatenate strings repeatedly creates many temporary string objects, hurting performance, especially in loops.
Example — Bad Practice
string result = "";
for (int i = 0; i < 1000; i++)
{
result += i.ToString() + ", ";
}
Better Approach: Use StringBuilder for efficient concatenation in loops.
var sb = new StringBuilder();
for (int i = 0; i < 1000; i++)
{
sb.Append(i);
sb.Append(", ");
}
string result = sb.ToString();
4. Empty Catch Blocks
Problem: Empty catch blocks swallow exceptions silently, making it very hard to find bugs.
Example — Bad Practice
try
{
// some code
}
catch (Exception)
{
// Do nothing
}
Why it’s bad: You lose error information, and the program may fail silently or behave unexpectedly. Empty catch Blocks hide errors and cause silent failures, so exceptions should always be logged or rethrown to make issues visible and traceable.
Better Approach: At least log the exception or re-throw it if it can’t be handled.
try
{
// Some risky code
}
catch (Exception ex)
{
Console.Error.WriteLine($"Error: {ex.Message}");
throw; // Rethrow so higher layers know something failed
}
When catching exceptions, you should either handle them (e.g., retry or fallback), log them so issues are traceable, or re-throw them to let higher layers decide, ensuring errors are never silently ignored.
5. Tightly Coupled Code
Problem: When classes or modules depend heavily on concrete implementations, it becomes difficult to refactor or replace parts of your system.
Example — Bad Practice
public class OrderProcessor
{
private EmailService emailService = new EmailService();
public void Process(Order order)
{
// processing
emailService.SendConfirmation(order);
}
}
Why it’s bad: Tightly coupled code is bad because it locks classes to specific implementations, making them hard to change, difficult to test, inflexible, and violating the Dependency Inversion Principle; as a result, the system becomes rigid, less reusable, and harder to maintain or extend.
Better Approach: Use Dependency Injection and program against abstractions (interfaces).
public interface INotificationService
{
void SendConfirmation(Order order);
}
public class EmailService : INotificationService
{
public void SendConfirmation(Order order)
{
Console.WriteLine($"Email sent to {order.CustomerEmail}");
}
}
public class OrderProcessor
{
private readonly INotificationService _notificationService;
public OrderProcessor(INotificationService notificationService)
{
_notificationService = notificationService;
}
public void Process(Order order)
{
// processing
_notificationService.SendConfirmation(order);
}
}
Using abstractions instead of concrete classes makes code flexible, easier to test, and more maintainable.
6. Bloated Methods Handling Too Many Tasks
Problem: Functions that do multiple things become hard to understand, maintain, and test.
Example — Bad Practice
public void ProcessOrder(Order order) {
// Validation
if (string.IsNullOrEmpty(order.CustomerName)) {
throw new Exception("Invalid order");
}
// Discount logic
if (order.TotalAmount > 1000) {
order.Discount = 0.1m;
}
// Save order
Database.Save(order);
// Notify customer
EmailService.Send(order.CustomerEmail, "Your order is confirmed!");
}
Why it’s bad: This method mixes validation, discount calculation, persistence, and communication.
Better Approach: Split responsibilities into separate methods or classes.
public class OrderProcessor
{
private readonly IOrderValidator _validator;
private readonly IDiscountService _discountService;
private readonly IOrderRepository _repository;
private readonly INotificationService _notification;
public OrderProcessor(IOrderValidator validator, IDiscountService discountService,
IOrderRepository repository, INotificationService notification) {
_validator = validator;
_discountService = discountService;
_repository = repository;
_notification = notification;
}
public void Process(Order order) {
_validator.Validate(order);
_discountService.ApplyDiscount(order);
_repository.Save(order);
_notification.Notify(order.CustomerEmail, "Your order is confirmed!");
}
}
By splitting responsibilities into separate classes like IOrderValidator, IDiscountService, IOrderRepository, and INotificationService, each concern is isolated and easier to manage, while the OrderProcessor simply coordinates the workflow; this makes the system more modular, allows each component to be reused, tested, and modified independently, and keeps the overall codebase cleaner and more maintainable.
7. Unnecessary Null Checks
Problem: Too many null checks clutter code and can hide deeper design issues, such as missing initializations.
Example — Bad Practice
if (user != null)
{
if (user.Address != null)
{
Console.WriteLine(user.Address.City);
}
}
Better Approach: Use null-conditional operators or ensure your objects are properly initialized.
Console.WriteLine(user?.Address?.City);
Or throw early on invalid state instead of scattered null checks.
8. Unused Variables
Problem: Variables declared but never used waste memory and reduce code readability.
Example — Bad Practice
public void ProcessOrder(Order order)
{
int discountRate = 10; // not used
string tempMessage = "Processing..."; // not used
Console.WriteLine($"Order for {order.CustomerName} is being processed.");
}
Here, discountRate and tempMessage serve no purpose. They add noise and distract from the actual logic.
Better Approach: Remove unused variables to keep code clean.
public void ProcessOrder(Order order)
{
Console.WriteLine($"Order for {order.CustomerName} is being processed.");
}
Now the method is simple, clear, and focused only on what matters.
9. Overly Complex Conditions
Problem: Deeply nested or compound conditions make code hard to read and debug.
Example — Bad Practice
if (order != null && order.TotalAmount > 100 && order.Customer != null
&& order.Customer.IsActive && order.Customer.HasValidEmail)
{
Console.WriteLine("Order is eligible for processing.");
}
Here, the conditions are cluttered, mixing order and customer checks all in one place.
Better Approach: Extract conditions into well-named boolean variables or methods.
bool IsValidCustomer(Customer customer) =>
customer != null && customer.IsActive && customer.HasValidEmail;
bool IsValidOrder(Order order) =>
order != null && order.TotalAmount > 100 && IsValidCustomer(order.Customer);
if (IsValidOrder(order))
{
Console.WriteLine("Order is eligible for processing.");
}
Now the condition is broken into small, reusable methods.
10. Avoid Async Void Methods
Problem: async void methods cannot be awaited, making error handling impossible and causing unpredictable behavior.
Example — Bad Practice
public async void LoadDataAsync()
{
await Task.Delay(1000);
// ...
}
Why it’s bad: Because it can’t be awaited, hides exceptions from the caller, causes unpredictable execution, and makes testing unreliable; instead, use async Task so the caller can await, handle errors, and control flow safely.
Better Approach: Use async Task instead and await calls properly.
public async Task LoadDataAsync()
{
await Task.Delay(1000);
// ...
}
Using async Task makes methods awaitable, allows proper error handling, ensures predictable execution, and makes testing easier.
Conclusion
Avoiding these common mistakes will make your C# code cleaner, more maintainable, and less error-prone. Clean code not only benefits you but also your team and future maintainers as well.