Creating apps with minimal coding in the ever-demanding digital world is a great way to speed up the software development process. From mobile apps, governance and legacy upgrades, to enterprise services and customer portals, components such as graphical interfaces, pre-built templates and drag-and-drop streamline the creation process. This is particularly beneficial for developers and business users to generate apps rapidly.
With the growing demand for agile and efficient software, the integration of Artificial Intelligence (AI) will prove to be a boon, especially for low-code developers. According to a white paper on generative AI disruption in software by McKinsey, equipping low-code developers with AI can boost productivity by as much as 45%, something which can lower code development costs considerably. The paper further notes that by 2027, spending on technology could reach between $175 billion and $250 billion, contributing an additional two to six percentage points of growth for the software sector.
Let’s take a deep dive into how AI-led solutions for low-code developers can be a force to be reckoned with:
- Better Speed: A key advantage of low-code platforms is their capability to steer the process of software development. With the help of AI, mundane tasks like creating code snippets and recommending improvements can be performed easily. For instance, AI-powered tools can evaluate an existing code and suggest methods to optimise it, allowing developers to dwell on aspects that require thinking. This saves time and meets the needs of businesses promptly.
- Enhanced Accessibility: Solutions led by AI in low-code development can make app creation universal, especially for users with non-technical backgrounds. With easier user interfaces and natural language processing capabilities, AI can direct users through the process of development, enabling them to create apps with ease. Often referred to as ‘citizen developers’, these individuals can contribute to the workforce through their digital transformation efforts.
- Advanced Data Management: Proper data management is critical for any successful application. With AI, this can be enhanced in low-code environments via well-developed analytics and insights. To exemplify, Machine Learning algorithms can recognise patterns in user behaviour and preferences, empowering developers to create more personalised and effective apps. Moreover, AI can cleanse data, integrate processes and reduce the risk of fallacies, thus improving the overall quality of data.
- Greater User Experience: Since user experience is an important factor in any app, AI can help low-code developers forge strategic interfaces. By evaluating user interactions on the platform, AI can predict usability issues and suggest design changes. This ensures that apps become engaging and easy to use, retaining a high amount of users regularly.
- Quicker Decision-Making: Integrating AI into low-code platforms ensures faster real-time data analysis and decision-making capabilities for companies. AI can process vast amounts of data within minutes, allowing developers to build apps that can quickly adapt to changing conditions and user needs. This is particularly beneficial in industries such as finance, healthcare, and e-commerce, where timely insights can significantly impact business outcomes.
- Regular Learning and Improvement: AI’s ability to adapt over time means that low-code platforms have a chance to improve continuously.By analysing user feedback and application performance, AI can help developers identify areas for enhancement and suggest new features. This iterative approach allows apps to have a competitive edge in the ever-evolving market.
- More Creativity: AI-led cognitive services, such as image and voice recognition, can be impeccably integrated into low-code apps. This allows developers to create apps with advanced capabilities such as facial recognition, chatbots, and voice-controlled interfaces without having to create all these AI components from scratch. Low-code platforms can simplify the integration of AI services that rely on APIs becoming an intermediary, veiling the complexity involved.
To conclude, AI can empower low-code developers to create high-impact apps while ensuring high quality. As the AI revolution continues to reach various industries, Gartner’s research shows that by this year, three-quarters of large enterprises will adopt low-code app development. Ultimately, intersecting AI with low-code development will be essential for companies striving to thrive in the digital era.
