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Rethinking Software Development in the AI Era

Businesses are adopting every possible trend that could enhance their productivity levels and improve their customer management area.

To gain an edge over the competition, the software development company and businesses are speeding up to try machine learning algorithms and neural networks in their services and offerings. These aspects cover the area of artificial intelligence which is one of the most popular trends right now.

Gartner has estimated that AI-enabled tools will generate $2.9 trillion in business value by 2024.

Improving its presence across the world through the Pokémon game app, AI has started a buzz that is impressing not only users but also businesses across the globe. Now, who wouldn’t want to utilize the plethora of opportunities provided by AI trend? While most businesses have started already, few are in the line to explore the opportunity.

Let’s have a look at how AI has been transforming the software development industries and developing AI-based apps evolving the lives of users. Visit this site for AI Course

1. Decision Making

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Strategic decision making is one aspect of software application development that shapes the future and success of the business. Unless a defined and accurate decision is made by the leaders, they cannot align the employees to work accordingly and gain control over the competition. With the AI trend, the businesses are supported with machine learning that gives an insight into what could be fruitful and what could lead to failure.

A software development company that develops apps using AI imbibes machine learning abilities and gathers data and information from previous records to ascertain the decision made by the leaders. It helps them to fasten the process, estimate accurate delivery timelines, and increase revenue within a short span.

2. Testing

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Testing has always been considered the most critical game in the software development process. Without rigorous testing, the company could never guarantee the successful running of the app no matter how efficiently it is built. Testing eliminates errors, bugs from the app and power its smooth functioning.

With AI enablement in the software development process, developers can easily create test information, explore information legitimacy, progression and scrutiny of the scope. Testers can be freed from the manual and monotonous process of testing by enabling AI into the testing process by introducing autonomous software tests with cultured features.

For instance – SapFix is an AI Hybrid testing tool that is deployed by Facebook which automatically generates bug fixes for specific bugs identified by ‘Sapienza’.

3. Programming Assistants

Coding, programming is one of the most critical aspects of software application development companies like Finoit Technologies. It decides the functioning of the software app. The requirement of talented programmers makes the app functioning fruitful and successful. However, coding is not an easy task. It takes a lot of effort in ensuring that codes written are accurate and function as per the demand.

Inviting an AI programming assistant could reduce the workload to a great extent. Developers are utilizing the AI trend by developing systems that can write code. This solves the issue of time and money for the software development company. However, they need to ensure that there are no chances of ambiguity in it.

4. Timelines Estimation

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Delivering solutions well on time is a challenge for software development companies. The delivery impacts the success of the company and that of the business as well. Thus, they cannot ignore the timelines set and need to target their activities in such a way that delivery is completed efficiently.

To cater to this challenge, a custom software development company analyzed that AI is the best mode to accurately estimate the delivery timelines of the project. It is designed to define a timeline that meets the user requirement in available resources even in case of any alterations in the project. AI-based analytics and machine learning combined can effectively analyze a lot of data for similar types of projects.

5. Code Compilation

Another defined task in software application development is code compiling. A compiler converts the code written in a high-level programming language into machine language or explicit instructions for the hardware to follow.

AI makes the compiling easier as it can easily complete the task of regenerating code for the hardware in a few hours instead of months. An intelligent compiler with AI capabilities does not need the source code hence making the process faster and easier for developers to process.


Summing up, the need for AI is not something that is an option, but it has solely become a necessity for businesses and software development companies. The users, on the other hand, are equally enthused to use the app.

The software development process is a defined process that is time taking and takes a lot of effort from all the people involved. To make the development process easier, a software development company utilizes the potential of AI trends. There are no second thoughts on choosing AI as it has proved to build benefits for the software development companies.

About Suzan Vega