The Importance of C# Records: Simplify Your Code with Examples

The Importance of C# Records: Simplify Your Code with Examples


Records have emerged as a game-changing feature in C# programming, significantly improving code readability and maintainability.

Introduced in C# 9.0, records provide a concise and efficient way to define data types, making them an essential addition to your programming toolbox.

In this blog post, we’ll explore why C# records are important and provide practical examples demonstrating their advantages.

What Are C# Records?

It is a lightweight and immutable data structure used to store and represent data.

It combines the benefits of value types and immutability, making it perfect for scenarios where you need to create and manipulate data objects without worrying about accidental modifications.

1. Immutability by Default

Immutability is a fundamental concept in modern software development, as it helps prevent unexpected side effects and bugs. Records promote immutability by default, ensuring that once you create an instance, its properties cannot be changed.

public record Point(int X, int Y);

var point = new Point(10, 20);
point = point with { X = 30 }; // This creates a new instance with the X property changed to 30.

The with keyword allows you to create a new record with specific property values modified while leaving the original instance unchanged. This immutability feature makes your code more predictable and easier to reason about.

2. Conciseness and Readability

C# records offer a concise syntax for defining data types, reducing boilerplate code and improving code readability. Compare the following code to define a simple Person type using a traditional class and a C# record:

// Traditional class
public class Person
    public string FirstName { get; }
    public string LastName { get; }

    public Person(string firstName, string lastName)
        FirstName = firstName;
        LastName = lastName;

// C# record
public record Person(string FirstName, string LastName);

With records, you can define the type and its properties in a single line, eliminating the need for explicit constructors and property declarations. This brevity enhances the clarity of your code.

3. Value-Based Equality

Equality comparisons are a common source of bugs in software development. C# records provide value-based equality comparisons out of the box, making it easy to compare record instances based on their content rather than their reference.

var person1 = new Person("John", "Doe");
var person2 = new Person("John", "Doe");

var areEqual = person1 == person2; // true, because their content is the same

This behaviour simplifies unit testing and debugging, as you don’t need to write custom equality logic for your data types.

4. Improved Pattern Matching

Pattern matching is a powerful feature in C# that allows you to destructure and match values in a concise and expressive way. C# records enhance pattern matching by providing deconstruction and property-based pattern matching support.

var person = new Person("Alice", "Smith");

var (firstName, lastName) = person; // Deconstruction
if (person is Person { FirstName: "Alice" } alice) // Property-based pattern matching
    Console.WriteLine($"Hello, {alice.LastName}!");

These capabilities simplify working with records, enabling you to extract and manipulate data more naturally.


C# records are an essential feature that brings simplicity and efficiency to your code.

They promote immutability, enhance code readability, provide value-based equality comparisons, and offer improved pattern-matching capabilities.

By using records in your C# projects, you can write cleaner, more maintainable code and reduce the risk of common programming errors.

Incorporate records into your development workflow, and you’ll experience firsthand the benefits they bring to your software projects.

I have written other posts on the same theme here: – What are C# Records and you can find the official documentation on records here: –


Hi, my name is Stephen Finchett. I have been a software engineer for over 30 years and worked on complex, business critical, multi-user systems for all of my career. For the last 15 years, I have been concentrating on web based solutions using the Microsoft Stack including ASP.Net, C#, TypeScript, SQL Server and running everything at scale within Kubernetes.