“Our intelligence is what makes us human, and AI is an extension of that quality” stated Yann LeCun Professor at New York University.
Artificial Intelligence or AI technology is probably one of the most notable scientific inventions in the 21st century that benefits devices that read, write, edit, and scan almost everything. It’s time to make some tweaks to the above-mentioned phrase- Now, AI is completely altering every phase of software development. Artificial intelligence is modifying the field of software development. From coding to deploying the software, AI is gradually expanding its grip and supporting us to explore a new paradigm of inventions. Algorithm-based machine learning is used to stimulate the software development lifecycle, and AI is supporting software engineers to more suitable software workflow at each stage of the development process.
The concept behind AI technology is primarily to expedite human thinking & intelligence with the assistance of a device. The AI-enabled tools are usually created to process the available data and information in a particular way, which helps in providing the desired outcomes.
Let’s have a look at a few jaw-dropping stats about AI:
- As per Deloitte, “the global market of custom software development is forecast to rise more than 61 billion US Dollars in 2023 as compared to o 47 billion US Dollars in 2018.”
- According to a report published in Statista, “it is forecasted that the global artificial intelligence software market will reach around 126 billion U.S. dollars by 2025 as it is expanding so quickly.”
- PwC stated, “by 2030, AI contributes 15.7 trillion dollars to the world’s GDP that will ultimately boost it by 14%.”
Till now, it is quite evident that AI is everywhere in the software development life cycle.
How AI Affects Software Development?
AI technology is redefining the landscape of software development. It is already gaining huge popularity in different stages of software development like productivity, speed, and quality. AI can improve everything from project planning to project deployment.
Automated & More-Accurate Project Budgeting
The cost estimation in software development always remains a challenging task as at the start, it is quite difficult to predict what hurdles we might face during different stages and how much these obstacles push back the deadline.
AI can benefit you by gathering all the data from the past and multiple other factors that you wish to add for determining far cost-accurate estimation.
Automated Code Generation
Despite replacing the software developers, AI is more like a tool for software developers to gain knowledge, streamline different tasks and eventually write better code. Nowadays, AI-enabled coding apps like Deep TabNine, Tara, etc are a buzzword in the field of AI software development. They improve the accuracy and speed of the coding process.
Quick & Efficient Testing
Earlier, quality assurance work took a lot of time and manual tasks were more vulnerable to error. However, with the rise of AI-enabled automated software testing, we have seen fast, accurate software testing that enhances the complete process to an extent where bugs are fixed before the deployment of the software.
Real-Time Customer Feedback
Real-time data from AI-enabled development tools will help in enhanced functionality through continuous feedback from the users. It will also assist you in designing smooth and more accessible software.
Predictive analytics utilises statistical algorithms blended with data to anticipate future trends, which facilitates businesses to enhance inventory, improve delivery times, boost sales and finally, results in reducing operational charges. When predictive analytics is joined with artificial intelligence (AI), the insights gathered from these advanced practices are the core to adding reliable and up-to-date forecasting going forward.
AI has immense capability to reshape the future of the software development field. The availability of AI-enabled software solutions empowers software companies to offer customer-driven experiences by presenting application tactics according to business requirements. The emerging need for the use of AI is to have a significant impact on software design and its creation. Adoption of potential benefits the AI provides will change the way the softwares is developed and companies have to adopt AI.