Abstraction in Action - Flutter

Abstraction in Action - Flutter

Abstraction in Action - Flutter. What is abstraction? Abstraction is the act of dealing with “ideas” or higher-level functionality without knowing what the implementation will be. In programming, this is commonly done by providing a public-facing interface that your code interacts with. This hides implementation details and leaves your code only “knowing” about the function itself and what’s expected from it.

What is abstraction? Abstraction is the act of dealing with “ideas” or higher-level functionality without knowing what the implementation will be. In programming, this is commonly done by providing a public-facing interface that your code interacts with. This hides implementation details and leaves your code only “knowing” about the function itself and what’s expected from it.

Why do we need an abstraction Abstraction is required when you want to decouple your implementation details from your application. Why would you want to decouple your application code from implementation details? Well, there are multiple reasons for that.

Long term maintenance is easier: Since your business logic is written against your interfaces, not the implementation, as long as the interfaces return the expected values you can change your implementations multiple times without having to worry about system-wide refactors. Easier to understand: Using abstraction is considered a declarative approach to programming. This means we take a high-level approach to tell the compiler what to do and leave the implementation details out. When you read declarative code you’re reading what the code is doing, not how it’s being done. This makes it easier to consume for any level of developer. You can focus on business logic and only go to the implementation details if it’s required. Easier to test: One way to make sure your implementation change didn’t bring in any bugs is by running your unit tests that confirm what’s supposed to happen given a request on an interface. If you have a level of abstraction that allows you to supply Mock versions of fake data versions you can write more robust unit tests that cover a wider range of functionality. You can swap out implementations anytime: This is something that I use to hear and argue against. Mostly because of the examples that were used. It was always the Database example. “Well if your code against an interface for a database service you can swap out the underlying database with whatever you want and the rest of your code won’t know”.

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