All of the software enterprises are adopting the most emerging technologies for software development in order to stay abreast of the competition. It is forecasted that the use of artificial intelligence in software development will definitely improve the overall software development process.

Artificial intelligence is poised to change the nature of software development in fundamental ways, perhaps for the first time since the invention of FORTRAN and LISP. It presents the first real challenge to our decades-old paradigms for programming. What will these changes mean for the millions of people who are now practicing software development? Will we see job losses and layoffs, or will see programming evolve into something different—perhaps even something more focused on satisfying users? Let us try and assess the impact that AI will have on software development as a whole by taking a look at various aspects of the process.

Requirement Gathering

It is the fundamental phase of SDLC and the one where maximum human intervention is required. AI offers a broad range of tools and techniques such as Google ML Kit and Infosys Nia for automating certain processes in order to minimize the human efforts up to a certain extent. Having some percentage of automation in this phase helps detection of loopholes before moving to the design phase.

There’s an AI technique called natural language processing (NLP) that helps machines understand the user requirements in natural language by driving the high-level of software models on an automatic basis. Though this approach has a great scope of improvement and refinement, it remains one of the most researched topics in AI.


Project planning and designing requires personnel with specialized learning and experience to propose a definitive solution. Settling on the right design for each stage is an error-prone task. Retracts and forward investigating plan forces dynamic changes to the design until the client reaches the desired solution. By automating a few complex procedures using artificial intelligence tools, you are allowed to enable the most capable methods in order to protect the designs.

For instance, by using AIDA (Artificial Intelligence Design Assistant), designers can understand the needs as well as the desires of the client and use that knowledge to design the appropriate project. AIDA is a website building platform that examines various combinations of software design and presents an appropriately customized design as per the client’s requirements.

Automated Code Generation

It is a well-known fact that taking a business idea and writing the code for that huge project is not only time-consuming but also labour-intensive. In order to save time and money, developers are now trying out the approach to opt for a solution that helps to writes code before starting the actual development. However, the approach is not good as it comes with uncertainties around the aim of the target code aims as collecting these details takes away precious time which can be used in writing code from scratch.

An intelligent programming assistance with AI will reduce the load by a certain extent by automating the code generation and detecting the bugs from the code. Simply put, if you take an instance of a project where your idea is in your natural language, your system can understand it by converting it into executable code.

AI-Oriented Testing

One of the most crucial phases of software development is testing that helps to ensure product quality. If a certain software testing is done on a repeated basis then the source code needs to be changed by repeating the same tests which are more time-consuming and also expensive.

There is a wide range of software testing tools that employ AI for creating test-cases and performing regression testing. All of these AI tools help automate the process in order to ensure error-free testing. For instance,, Functionalize, and Appvance are a few of the artificial intelligence and machine learning-oriented testing platforms.

Deployment Control

In the software development paradigm, the deployment phase is the stage where developers often upgrade the programs or apps to newer versions. If developers fail to execute a process correctly during upgradation, there will be a high risk in executing the software. AI can prevent developers from such vulnerabilities during upgradation and reduce the risk of failure in deployment. Another impact of artificial intelligence is, it enables the developers to monitor the deployment process with machine learning algorithms.

Benefits of AI in Software Development

Traditional software development is not going anywhere but AI is givin it a modern touch. Here’s how SDLC can benefit from the AI approach:

Enhanced Data Security: Software security can’t be overlooked during its development. The system generally collects data from network sensors and software installed on the customer end. AI enables you to investigate the data using machine learning to distinguish irregularities from normal behavior. Further Software Development Companies adopting AI in their development process can also avoid the delayed warning, false notifications, and alerts.

Bugs & Error Identification: Integration of AI tools makes coding better and enhanced. Due to this developers and testers don’t need to struggle with examining the multiple executable files loaded with bugs & errors. It is easier for them to find bugs instantly and correct them.

Strategic Decision-Making: Machine learning solutions have the ability to learn from past development projects as well as analysis of the performance of existing projects. AI in software development not only makes development easy but also results in better applications.

Accurate Estimation: It is seen that often the software development overflows the pre-decided budget and deadlines. To cope with this and to get accurate estimates requires expertise, context understanding and being familiar with the implementation team. Machine learning helps to train the data from past projects be it user stories, feature definitions, and estimates for predicting the effort and budget.

In general, artificial intelligence seems to have a significantly positive impact on the software development process and will prove to be a game changer in the years to come. We at AppleTech have the knowhow and experience in building AI empowered custom software which will not only be a backbone of your business but a catalyst for its growth. Start your success journey by reaching out to us!