Reasons Why Declarative Programming is the Future

Are you tired of writing code that is difficult to read, debug, and maintain? Do you want to write software that is easier to reason about and less prone to errors? If so, then declarative programming may be the future for you.

Declarative programming is a programming paradigm that focuses on describing what you want your program to do, rather than how to do it. In other words, you declare the desired outcome, and the program figures out how to achieve it. This approach is in contrast to imperative programming, where you tell the program how to do something step-by-step.

In this article, we will explore the reasons why declarative programming is the future and why you should consider using it for your next project.

Declarative Programming is Easier to Read and Understand

One of the biggest advantages of declarative programming is that it is easier to read and understand. Declarative code is often more concise and expressive than imperative code, which makes it easier to reason about. When you read declarative code, you can quickly understand what the code is trying to achieve without getting bogged down in the details of how it is doing it.

For example, consider the following imperative code that calculates the sum of all even numbers in a list:

def sum_even_numbers(numbers):
    total = 0
    for number in numbers:
        if number % 2 == 0:
            total += number
    return total

Now, compare it to the following declarative code that achieves the same result:

def sum_even_numbers(numbers):
    return sum(filter(lambda x: x % 2 == 0, numbers))

The declarative code is much shorter and more expressive than the imperative code. It is also easier to read and understand because it clearly declares what it is trying to achieve.

Declarative Programming is More Modular and Reusable

Another advantage of declarative programming is that it is more modular and reusable than imperative programming. Declarative code is often written in terms of small, composable functions or modules that can be combined to achieve complex behavior.

This modularity makes it easier to reuse code across different parts of your program or even across different programs. You can create a library of declarative functions that can be used in different contexts, which can save you time and effort in the long run.

Declarative Programming is More Resilient to Change

One of the biggest challenges of software development is dealing with change. As your program evolves, you may need to add new features, fix bugs, or optimize performance. These changes can be difficult to make in imperative code because the code is tightly coupled and interdependent.

Declarative programming, on the other hand, is more resilient to change because it separates the what from the how. When you make a change to a declarative program, you only need to modify the declarations, and the program will figure out how to implement the changes.

For example, consider a declarative program that describes a user interface. If you want to change the layout of the interface, you only need to modify the declarations that describe the layout. The program will automatically update the interface to reflect the changes.

Declarative Programming is More Expressive

Declarative programming is more expressive than imperative programming because it allows you to describe complex behavior in a concise and intuitive way. Declarative code is often written in a domain-specific language (DSL) that is tailored to the problem domain.

This DSL makes it easier to express complex behavior in a way that is natural and intuitive for the problem domain. For example, a DSL for describing user interfaces might include declarations for buttons, text boxes, and labels. These declarations can be combined to create complex layouts that are easy to read and understand.

Declarative Programming is More Scalable

Declarative programming is more scalable than imperative programming because it allows you to describe behavior at a higher level of abstraction. This higher level of abstraction makes it easier to reason about large-scale systems and to manage complexity.

For example, consider a declarative program that describes a distributed system. The program can describe the behavior of the system at a high level of abstraction, such as how data is replicated across nodes or how requests are load-balanced. This high-level description makes it easier to reason about the behavior of the system as a whole and to manage the complexity of the system.

Declarative Programming is More Testable

Declarative programming is more testable than imperative programming because it separates the what from the how. When you write tests for a declarative program, you can focus on testing the declarations rather than the implementation details.

This separation of concerns makes it easier to write tests that are more focused and more robust. You can test the behavior of the program without worrying about the details of how the program achieves that behavior.


Declarative programming is the future of software development. It is easier to read and understand, more modular and reusable, more resilient to change, more expressive, more scalable, and more testable than imperative programming.

If you want to write software that is easier to reason about, less prone to errors, and more maintainable, then declarative programming is the way to go. So, why not give it a try on your next project? You might be surprised at how much easier it is to write and maintain declarative code.

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Written by AI researcher, Haskell Ruska, PhD ( Scientific Journal of AI 2023, Peer Reviewed