Recently dubbed Asia-Pacific’s fastest-growing coding community, Singapore stands as a steadfast digital hub with its impressive digital literacy rate, where one-sixth of its population – the highest globally – is actively engaged in coding. Recognizing how integral digital technology is to its societal fabric, the country is pouring large investments into upskilling and bolstering its digital workforce, particularly in emerging technologies such as Artificial Intelligence (AI), which is essential to fuel its digital future. But how will the integration of AI support one of the most essential skills for shaping digital infrastructure – software development?

With the mounting tech skills shortage, AI will be instrumental in helping organizations bridge the talent gap by reducing the workload of technical teams. This is especially relevant in software development, where AI can unlock new levels of efficiency and productivity. As such, it is imperative to foster a deeper understanding of the following ways AI is revolutionizing enterprise software, and what lies on the horizon for this promising technology.

Enhancing software quality with automation and speed

Software development has traditionally been a labor-intensive process requiring meticulous planning, coding, testing, and deployment. However, with the rise of AI technology, software developers can now leverage advanced tools to automate time-consuming tasks, identify bugs, and optimize code performance.

For instance, AI-based code review systems have the capability to analyze code snippets to identify potential errors or inefficiencies and suggest optimizations in real time, leading to cleaner and more efficient codes. This effectively speeds up the software development process while simultaneously enhancing overall software quality, enabling developers to divert their focus on the strategic and creative aspects of their work.

Bolstering DevOps practices

Coined over a decade ago, DevOps, a combination of software development (Dev) and IT operations (Ops), transformed the field of software development and paved the way for collaborative and streamlined software development processes commonly adopted today. This has enabled faster responses to market changes and customer feedback, driving business agility and innovation. And now, with the integration of AI, it presents yet another pivotal shift in software development.

AI-powered DevOps tools can automate various tasks like testing, deployment, and monitoring, resulting in faster, more reliable, and less error-prone continuous integration and continuous delivery (CI/CD) pipelines. This allows teams to roll out software updates and new features more smoothly, reducing downtime and enhancing the user experience. Moreover, AI-driven software development platforms can also interpret everyday conversational language, simplifying the creation of documentation, user manuals, and communication with stakeholders during each software release.

The capabilities of AI also extend to security. When incorporating security into DevOps environments, AI-powered tools can help detect unusual patterns and respond to cyber threats in real time by monitoring system logs, user interactions, and performance metrics. This proactive approach significantly improves overall software security.

Cost and time savings with GenAI

There is no doubt that GenAI is the up-and-coming technology that has caught the eye of many businesses – and for good reason.

For software developers, GenAI offers the ability to automatically generate complex code, code snippets, design patterns, and algorithms. This not only reduces the manual effort involved in repetitive tasks but also accelerates the overall development process. According to a McKinsey study, GenAI can double the speed of both developer tasks and code functionality documentation, attesting to its capability to supercharge efficiency and productivity. Furthermore, the study findings delineated that with GenAI, writing new code can be done in half the usual time, while code optimization can be completed in about two-thirds of the time typically required.

AI’s rapid evolution is reshaping the software landscape, and the adoption of AI-powered tools is poised for significant growth within the next few years. Gartner predicts that by 2027, a staggering 70 percent of professional developers are expected to leverage AI-driven coding tools, a massive jump from today’s usage, which is less than 10 percent.

Glimpsing through the AI crystal ball

The transformative opportunities of AI are vast, especially when it comes to addressing the challenges developers face. However, it is crucial to recognize that embracing AI in enterprise ecosystems is not just about enhancing current processes – it also incites a rethinking of the way businesses function in a constantly evolving digital world.

AI has the ability to power innovation, create new business models, boost autonomous processes, and enhance security – all of which are crucial factors for businesses striving to set themselves apart from their competitors and maintain a positive bottom line. The potential applications of AI in software development are limitless, and far-sighted business leaders must embrace its potential to set the essential groundwork to thrive in an increasingly saturated market.

By taking an AI-first approach to software development, organizations can unlock new levels of human potential, driving progress and breakthroughs across the board.

Leonard Tan is the Regional Director for Singapore and Greater China Region at OutSystems. Leonard has over 9 years of experience working with enterprise customers in the APAC region, focusing mainly on the IT industry. As a thought leader in leveraging technologies to drive deep culture change in organizations, he takes pride in ensuring he tailors a solution that is relevant and crucial to all clients to help them achieve their business goals. As an advocator in relationship selling, he believes in nurture rather than touch, and empathy rather than apathy.

He is currently the Regional Director for Singapore and the Greater China Region, where he has helmed projects to drive the adoption of OutSystems in the ecosystem, whilst ensuring he penetrates into the market to ensure customers understand the value of how low code can truly help lower barrier to entry, cost and deployment times and set organizations free from maintenance burdens.

How generative AI will fuel value for businesses if effectively implemented