Low-code development platforms are designed to simplify the app creation process by reducing the need for extensive coding. At the recent Roundtable: Unleash The Power of Artificial Intelligence, jointly hosted with Outsystems, our technology partner, we discuss the fusion of low-code development and generative AI in ushering in a new era in application development. This innovative approach is set to redefine how we build applications, opening doors to unparalleled efficiency and innovation in the world of software development.
The Low-Code Evolution
Low-code development platforms have gained immense popularity in recent years. Their promise is simple but powerful: to enable individuals with varying levels of technical expertise to create applications using visual interfaces and minimal coding. This democratisation of app development empowers business analysts and IT professionals to collaborate seamlessly and bring innovative ideas to life.
The Rise of Generative AI
Generative AI, often referred to as "Generative Adversarial Networks" (GANs) or simply "Generative AI," is an exciting subfield of artificial intelligence. These AI models are capable of generating content by learning patterns and structures from vast datasets. They've been used to create text, images, music, and even code. Generative AI is the force behind AI art, deepfakes, and more.
The Synergy Unleashed
Combining low-code platforms with generative AI has the potential to streamline and automate application development even further. Here's how this synergy works:
Rapid Prototyping: Low-code platforms enable users to create a visual prototype of the application. Generative AI can then analyse this prototype and suggest code snippets or even generate basic code components.
Code Augmentation: Generative AI can assist developers by offering code suggestions as they build applications on low-code platforms. This real-time support can help ensure best practices are followed and enhance code quality.
Complex Logic Simplification: For more complex applications, generative AI can help simplify intricate logic by suggesting optimised code structures, saving developers time and effort.
Enhanced Testing: Generative AI can help in generating test cases and even performing automated testing of low-code applications, ensuring reliability and robustness.
Predictive Maintenance: Post-deployment, generative AI can be employed for predictive maintenance, automatically identifying and fixing issues within the application.
OutSystems, a global leader in high-performance application development, announced new AI features - including the general availability of its new connector for Azure OpenAI, built jointly with Microsoft - and its roadmap for a new suite of generative AI capabilities, codenamed “Project Morpheus.”
The new offerings are the latest output of OutSystems dedicated AI research center and draw on its multiple patents and deep expertise in large language models and graph neural networks. OutSystems’ use of AI delivers dramatic improvements in code quality, overall development performance, and essential security and governance oversight.
Challenges on the Horizon
While the prospects are promising, several challenges must be addressed as we embrace the fusion of low-code development and generative AI:
Data and Model Training: Generative AI models demand extensive data and meticulous training to achieve effectiveness. This process can be resource-intensive and time-consuming.
Security and Ethical Considerations: The generation of code by AI introduces potential vulnerabilities and ethical concerns. Ensuring the security and integrity of AI-generated code is of paramount importance.
User Adoption: Developers and organisations need to adapt to this innovative way of working. Building trust in AI-driven code generation and embracing new development paradigms may pose a cultural and educational shift.
The successful navigation of these challenges will be crucial in harnessing the full potential of this revolutionary approach to application development.
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