AI Software development is changing because of artificial intelligence. AI is constantly improving and assisting in discovering a new paradigm for technological invention, from coding to deployment.
Algorithm-based machine learning accelerates the augmented software development lifecycle, and AI assists engineers in optimizing software workflow at every process stage.
The global AI market is expected to reach USD 93.5 billion in 2021 and grow at a 38.1% annual rate by 2030.
According to reports, 80 percent of companies invest in artificial intelligence research and development. Furthermore, 47% of firms actively incorporate AI into their operational strategies. The value of businesses is expected to skyrocket shortly due to AI.
AI software development has the potential to automate complex processes, improve software application accuracy, and improve overall software development quality. AI is no longer just a buzzword in the technology industry; it is a necessary component of the future of software development. This article will discuss How AI Augmented Software Development Works and Makes the Right Choice for Your Web Development Company in California.
What Is AI-Augmented Software Development?
Augmented intelligence is a subset of AI machine learning that seeks to augment rather than replace human intelligence. Its goal is to improve human decision-making and, by extension, actions taken in response to better decisions.
The concept of augmented intelligence is applied to software development, maintenance, and improvement in AI-augmented software engineering. In practice, the term refers to a software engineering method that relies on close collaboration between human developers and AI-enabled tools and platforms designed to augment and extend (rather than replace) human capabilities.
The IEEE report uses the example of a clinical study aimed at detecting lymph node cancer cells to emphasize the importance of the collaborative aspect of augmented intelligence. The AI system used in that study had a detection error rate of 7.5 percent. Human pathologists had a 3.5 percent error rate. When human pathologists and the AI system collaborated, the error rate was only 0.5 percent.
You May Like to Read: How AI is Transforming Mobile App Production?
Why is AI-augmented software development a trend that will shape business in 2025?
AI-augmented software development will remain relevant in the coming years, expanding its reach and transforming how web development companies in California accelerate digital transformation efforts. Let’s take a look at the main factors driving increased AI-augmented adoption:
- First, AI-augmented software development is a constantly changing and evolving field. As more businesses use artificial intelligence to improve their products and services, their processes must evolve to keep up with the latest advancements in the field.
- Second, AI-augmented software development will disrupt the IT industry in 2025 because it makes specific tasks easier than ever for businesses. For example, if your company needs a new website, you must hire people to do most of the work. A business can now mostly create a website independently with little human assistance, thanks to the AI-augmented software development process. This saves the company time and money, resulting in lower costs and more savings.
- Third, artificial intelligence-augmented software development has already transformed industries such as marketing, product management, and digital commerce by making quick decisions easier.
Role of AI Augmented in Software Development
Well-established SaaS companies, such as Netflix, Spotify, Amazon Prime, and YouTube, use AI extensively on their platforms to cater to customer needs and provide satisfactory service to their users. AI is unquestionably the future of software development, and there has been a growing shift towards AI in software development.
Here are some ways artificial intelligence can help you in creating your next ‘wow’ software product:
1. Increased speed of development
Deep learning and machine learning techniques can help DevOp reduce the number of software testing steps. AI would automatically test your software at each stage, eliminating the need for quality assurance analysts to test it manually. Fintech firms are automating their book trades with AI-powered trading bots.
2. Decision-Making and Time Estimation
AI’s capability includes the ability to make decisions. Given the constraints and criteria, the machine can make the most appropriate and accurate decision. When trained on previous project timelines and cost estimates, different regression models can help predict the current project’s cost estimation and estimated time frame. The supervised and unsupervised learning algorithms can greatly help a web development company in California with advanced services.
3. Recommender system
Integrating a recommender system into your software would improve user experience and retention if your product is a video streaming service or a podcast/music streaming service. The recommender system understands users’ interests and predicts their next best option.
Companies such as Netflix and Facebook heavily curate user content with the assistance of AI.
4. Increased user experience
Every software must provide a platform for users to communicate their problems and receive solutions. A platform isn’t everything, but an AI-powered platform (AI Chatbots) that instantly responds to every query and provides users with a high-quality experience is.
Almost every customer service website, including BookMyShow, MakeMyTrip, and IRCTC uses AI chatbots to assist customers. Alexa, powered by AI, and other intelligent voice assistants have assisted users with various tasks at the tip of their tongues.
You May Like to Read: Exploring the World of Augmented Reality
5. Error Elimination
AI can help diagnose and treat errors without human intervention, lowering maintenance costs. AI can use reinforcement learning to deal with errors using the concept of reward and punishment. The data is then retrained to avoid repeating the same errors. This ensures that an error dealt with is a permanent error.
6. Enhanced Security and Privacy
Deep learning models that are more powerful can classify and identify nearly everything in a frame. As a result, AI can improve security by granting access only to identified and verified individuals while maintaining user privacy by granting different access to different users based on the administrator’s preferences. Banking applications use AI exclusively to secure their customers’ data.
Conclusion
The use of AI in software development is extensive, and the list includes applications such as automated UI design, automated coding, and so on. As a result, it is estimated that 80% of businesses are investing in AI, with roughly half already developing AI strategies.
The SoftCircles platform is specifically designed to apply AI augmentation to legacy application modernization, transforming a complex, risky, time-consuming, and expensive process when done manually.
SoftCircles’ advanced AI capabilities enable it to analyze massive monolithic codebases automatically and significantly automate refactoring them into microservices.
You May Like to Read: Five Key Use Cases of AI Accelerators
