There was once a time when software development relied on rule-based code written by human, using logic that solved deterministic problems. That time has shifted to machine learning with the development of AI.
This has forever changed the software development programming and as a result, there are AI development services. These services offer software programming with AI that is no longer limited to ‘if-then-else’ cycles, rather a software helped developed with the help of AI has the ability to select the right data. The software is developed and trained for the neural network after selecting the right data and clan solve a given problem without the intervention of a human.
With the help of AI, the concept of software development has been revolutionized and accelerated as suggested by Release Runner. Many companies hire AI developers to help them with their software development. While this article will primarily focus on tips that can accelerate software development with the help of AI, we will also look into five areas of software development that AI is transforming. The reason that we will look into these five areas because understanding how they are augmenting the software development will help us to understand how AI can be utilized for the same.
AI Transforming 5 Software Development Areas
In software development there are quite a few areas that are being transformed by the AI and custom software development companies are taking into consideration each of these areas while working with AI for software development.
The 5 areas in concern are
- Software Design
- Software Testing
- GUI Testing
- Strategic Decision Making
- Automated Code Generation
Currently, the primary interest among those using AI in software development in the website development company is in the automated testing and use of tools for bug detection. However, there is a gradual shift of using AI in software designing precepts, strategies used in decision making and automating software deployment. Many companies who have hired AI developers have over the years demonstrated that using AI has not only made software development easier but also more reliable. As per the studies showed by Forrester Research report AI’s impact on software development will not only enhance the development process but also make the software more reliable, the cost-effective development cycle for the software, efficient and effective.
Tips on how AI can help in accelerating the software development
So if you are one of those who is thinking of getting the help of an AI for your software development it is time you consider it since it offers quite a few benefits. But when you are seeking such a service do consider looking for a custom software development company because they will know what you are looking for and cater to your needs. However, as a customer, it is also important that you should know how AI can help you in accelerating software development. Here are six tips on how AI can help your software development.
1. Less Time To Create Prototype: In the traditional software development process it took months to develop from planning to prepare then to jump-start a project. It took a significant time to do the programming even for the prototype level so that for the main software funding could be received. While it was daunting to get the programming right it was exhausting yet crucial for getting the resources. However, now with the AI this cycle of planning, preparing to jump-start the programming can be shortened. All you need to do is connect with any company that offers AI development services on software development and let them handle it. Since nowadays one requires just a few lines of codes or certain drag and drop to create a prototype and get the funding started.
2. Project Management: Past projects can be used to scale various markers in software development like common pitfalls, delivery times, estimated and possible delays, time take to get software developed, budget, etc. If all the data are stored correctly and an automated system can be trained to produce an estimate that is accurate it would make managing the software development project easy. So if you are a website development company or a customer thinking to hire AI developers to help you in software development ask if they have the deep learning algorithm for developing software.
3. Automatic Debugging: Deep learning process can identify not only in-depth errors and classify the error types they can flag it too thus speeding the debugging process. AI has the capacity to shadow a programmer and the knowledge to fix the errors in the process. This means a software developer/programmer has to spend less time in debugging and error fixing. I think you got the reason why hiring AI developer is not easy.
4. Automated Code Generation: As a software developer or a client for a new software one can seek the help of the AI system in getting automated code generation. AI system once again with the help of deep learning algorithm can put together a range of predefined modules and suggest code completion.
5. Automated Testing: One of the crucial and challenging aspects of software development is testing the product. It not only needs to run smoothly but also the programmer needs to create a comprehensive list of cases of various regular and extreme scenarios that can impact the performance of the software. This process of creating the list can be quite a time consuming and also not that effective. AI can help a programmer and the software by creating such a list even predict possible outcomes by going through the past logs and generating the list of cases. With the possible outcomes and pitfalls generated by the AI, one can focus on working out the problematic areas and save time.
6. Develop Your Strategy: One of the common and often plaguing concern while developing software is to decide which features to include, which to leave out, and the hierarchy of the features. AI can help in this situation as with it an AI developer can generate a simulation and get an output hierarchy of the features that best suit the programme to be successful. It does that by analyzing similar products, customer’s reaction, ratings, and reviews.
Conclusion:
Even though there are many decisions and tasks that are far too complex to be taught to computers or AI there are some aspects of software development that can be accelerated with the help of Artificial Intelligence. That is because the machine-learning model can help in reducing the data without involving a human being. This enables the software developer to focus on the other critical issues of the program. So while the models that AI can help within software development are still growing, at this juncture if AI is used with proper care and knowledge it can boost the software development to a new level.