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Since the first computer was developed in the mid-20th century and Apple’s first iPhone was released in 2007, technology and the software development that has accompanied it have revolutionized our world and our daily lives.
And the challenges of the global pandemic and its aftermath have accelerated the need for these technology solutions at an unprecedented pace.
As demand increases, software development has become an enormous challenge; in some ways we’ve come to the end of the do-it-yourself architecture on which it was built. The Great Retirement has hit this industry hard.
For example, in India — a major source of global tech talent — turnover rates soared to over 30% in 2021, while wages rose more than 50%. At the same time, the war in Ukraine cut off essentially 450,000 workers in Russia and Belarus from Western economies.
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So where do we go from here?
Customizable systems and processes
This accelerated technological pace combined with major socio-economic and political changes dictate that we not only build differently, but also build smart. We need more systems and processes that can adapt, learn, and apply these insights to meet the changing needs of businesses and consumers—not just today, but tomorrow.
Artificial intelligence (AI) has already become a key driver of new technologies, from big data to robotics and IoT. Based on user history, experiences and current usage patterns, AI can quickly and efficiently respond to the needs of multiple users and usages based on learning principles and natural language processing (NLP) techniques.
This technology enables systems to access and deliver vast amounts of data and processes without the need for extensive human intervention. And the more intelligence is built, the better AI can achieve better results, but also predict and plan future implementation.
Today, AI continues to transform the field of software development, making it easy for companies of all sizes to build. Therefore, AI opens up more opportunities for both small businesses and corporations to develop software faster and more efficiently, and ultimately grow and engage through intelligence.
But how?
intelligence and decision-making
Information is gathered and decision-making is driven through an AI-powered assembly line. Much like a traditional assembly line works, technology development can benefit from what came before.
This new assembly line brings together insights from commonly used capabilities to build lower-cost software and applications at speed and scale. Coupled with human talent, software can be deployed at 6x the speed and a quarter of the cost.
The functionality of AI is further amplified in coding, a process where even a missing parenthesis or semicolon can cause a fatal error. AI systems can be trained to automatically detect these errors (and more serious ones!) and suggest replacements, saving hours of human time that would otherwise be spent troubleshooting. Those are hours people can spend doing what we do best: thinking creatively about how to solve problems.
This reimagined assembly line has emerged as the most strategic way to automate development tasks that otherwise require layers of human intervention and can drastically impact ROI.
intelligence and efficiency
Every software developer knows that countless maintenance hours and dollars are spent managing redundant functions in the backend. But AI can reference data from multiple sources to identify these redundancies, streamlining ongoing maintenance while saving man hours and limiting expenses.
For example, AI can predict the code a developer will write, which can reduce keystrokes by up to 70%. AI code reuse can save companies significant time and money.
AI takes testing to the next level in terms of accuracy and speed, catching most bugs before the software enters the testing phase. By running more variable tests, problems that may arise when programs are fully functional are more likely to be detected.
Intelligence and the human touch
Many software projects are scrapped before they even see the light of day because user requirements are not met. Development platforms are under pressure due to high demand, rising costs and a lack of competent developers.
The process of collecting, tracking, and validating user requirements is labor intensive. With AI, developers don’t need to sift through pages of analytics and lines of code to be more effective. AI can help represent user behavior and needs, making it easier for developers to meet those needs.
But the human touch remains essential. Ultimately, machines are built to serve the purposes of humanity. AI’s ability to understand human intentions and translate them into software instructions will make the next generation of no-code software development a possibility.
When AI manages the vast swaths of repetitive and often mundane workflows associated with app development, humans are then free to create, innovate, and problem-solve.
Sachin Dev Duggal is the CEO and co-founder of Builder.ai
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