How artificial intelligence is shaping the future of technology

Ever since the first computer was created in the mid-20th century and Apple’s first iPhone debuted in 2007, the technology and software development that goes with it has revolutionized our world and everyday life.

And the challenges of the global pandemic and its aftermath have accelerated the need for these technological solutions at a pace never seen before.

While the demand is growing, software development is becoming an extremely difficult task; in some respects we are within the limits of the cottage industry architecture upon which it was built. The Great Retirement hit the industry hard.

For example, in India – the world’s main source of technical talent – ​​the turnover rate in 2021 exceeded 30%, while wages rose by more than 50%. At the same time, the war in Ukraine effectively cut off 450,000 workers in Russia and Belarus from the Western economy.

So where do we go from here?

Adaptable systems and processes

This accelerating pace of technological development, coupled with major socio-economic and political shifts, requires us not only to build in a new way, but to build smarter. We need more systems and processes that can adapt, learn, and apply this knowledge to meet the changing needs of businesses and consumers—not just today, but tomorrow.

Artificial intelligence (AI) has already become the main driver of new technologies, from big data to robotics and the Internet of things. Based on user history, experience, and display of current usage patterns, AI can quickly and efficiently meet the needs of multiple users and usage patterns based on learning principles and natural language processing (NLP) techniques.

This technology allows systems to access and deploy vast amounts of data and processes without the need for active human intervention. And as more intelligence is created, AI can not only improve outcomes, but also predict and plan for future implementation.

Today, AI is further transforming the software development space and making software development easier for companies of all sizes. In this way, AI opens up more opportunities for both small businesses and enterprises to develop software faster and more efficiently and ultimately grow and interact with intelligence.

But how?

Intelligence and decision making

The collection of information and decision-making is carried out on a conveyor with artificial intelligence. In much the same way that a traditional assembly line works, advances in technology can benefit from what came before.

This new assembly line combines knowledge gained from frequently used features to create more accessible software and applications at speed and scale. Combined with human talent, software can ship six times faster and four times cheaper.

AI functionality is further enhanced in coding, where even the absence of a parenthesis or semicolon can lead to a serious error. AI systems can be trained to automatically detect these bugs (and more serious ones!) and suggest replacements, saving hours of human time that would otherwise be spent debugging. These are hours that people can spend doing what they do best: thinking creatively about how to solve problems.

This reimagined assembly line has become the most strategic way to automate development tasks that otherwise involve multiple levels of human intervention and can drastically impact ROI.

Intelligence and efficiency

Any software developer knows that managing redundant back-end features takes countless hours of maintenance and dollars. But AI can reference data from multiple sources to identify these redundancies, simplifying ongoing maintenance, saving labor time and limiting costs.

For example, AI can predict the code a developer is about to write, which can cut keystrokes by as much as 70%. AI-assisted code reuse can save companies a significant amount of time and money.

AI takes testing to the next level in terms of accuracy and speed by identifying most bugs before the software moves into the testing phase. By running more variable tests, you are more likely to find problems that can occur when the programs are fully running.

Intelligence and human touch

Many software projects are closed before they even see the light of day because user demands are not being met. Development platforms are under pressure due to high demand, rising costs, and a lack of qualified developers.

The process of collecting, tracking and verifying what users need is labor intensive. With AI, developers don’t have to look through pages of analytics and lines of code to become more efficient. AI can help demonstrate user behaviors and needs, making it easier for developers to meet them.

But the human touch remains important. After all, machines are made to serve the purposes of humanity. The ability of AI to understand and translate human intentions into instructions for software is what will make it possible to develop the next generation of software without code.

With AI managing the vast amount of repetitive and often mundane workflows involved in app development, people are free to create, innovate, and solve problems.

Sachin Dev Duggal is the CEO and co-founder of

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