The search for innovation is a natural response to the complexities and challenges we face in our daily lives. Today, with the introduction of artificial intelligence (AI) into technological processes, we are not only improving our world, but also the human experience.

As AI becomes increasingly accessible and prevalent, it is beginning to influence a wide range of technologies, including Low Code. In recent years, we have seen a remarkable intersection between AI and development on Low Code platforms, which has represented a significant transformation in the design, development, testing and deployment of software. Low Code development platforms, recognized for their ability to significantly accelerate the creation of applications, have played a central role in this evolution. The recent rise of Generative Artificial Intelligence will now lead us into a new era in software development, where AI and Low Code technologies will advance synergistically.

Low Code platforms are widely known for automating and speeding up the software development process. They have enabled programmers and even individuals with different technical skills to create fully functional applications more efficiently, without compromising on quality or performance.

The search for greater precision in a shorter space of time is one of the most notable results of this convergence. Large Language Models (LLMs), such as ChatGPT, play a crucial role in this context, speeding up the software development process. Low Code platforms, together with AI, are also playing a vital role in democratizing the development process, enabling greater accessibility to AI-driven programming.

The strategic application of these technologies offers substantial improvements in efficiency and reduced development time, with surprising results, depending on the nature of the project and the specific application. Considering the return on investment already offered by Low Code platforms, integration with AI promises even more impressive results.

Some clear examples of this synergy include:

• Code generation: AI can suggest and generate code in real time, making the development process more fluid;
• Debugging and error identification: AI is a valuable tool in detecting problems and suggesting changes, going beyond correcting code errors to compliance with best practices in development and performance optimization;
• Analysis of vulnerabilities in the code: AI can be used to deepen security analysis in applications developed with Low Code platforms. For example, AI can perform source code analysis in search of vulnerabilities, identifying potential threats that may not be evident through manual review processes.
• Predictive analytics: AI allows companies to create predictive models that can anticipate market trends, optimize inventory management or predict customer behavior. These models produce valuable knowledge for strategic decision-making, helping companies to maintain a competitive edge.
• Technical support assistance: an interesting application of AI in conjunction with Low Code platforms is in improving technical support. For example, an AI-powered chatbot can be integrated into a Low Code application to provide instant support to users. This chatbot can answer common questions, solve problems and even forward more complex queries to the appropriate departments.
• Fraud detection: the use of AI, together with Low Code platforms, can be used to build fraud detection systems that examine patterns and irregularities in financial transactions. This way, organizations can minimize risks and safeguard their assets by identifying fraudulent activity in real time.

These are just a few examples, but they illustrate how the combination of Low Code and AI can significantly improve software development compared to traditional methods. AI also facilitates rapid prototyping and iterative processes, allowing feedback to be incorporated more quickly during the early stages of development.

In addition, the effort reduction of the IT teams is a notable consequence. Low Code + AI platforms offer user-friendly features, making development accessible to a variety of professionals, regardless of their level of experience. These tools also encourage innovation and experimentation since AI can generate suggestions and code components that stimulate creativity.

It is important for companies to be aware of different challenges, such as the need to retain and involve highly specialized professionals in complex projects involving AI, both in management and compliance in implementation and in the use of AI itself. By strategically adopting these technologies together, organizations can reap the benefits of a more agile and effective approach to developing their products and services.

We live in an era of intense technological transformation. The introduction of AI, and now its integration with other technologies (such as Low Code), is beginning to gain traction and revolutionize the way we design new products and solutions. Today’s generations are having the privilege of witnessing the fusion of human creativity with the potential of AI in creating a future where digital processes are more agile, effective and secure.

About Bruno Ferrão, Head of Managed Services & Nearshore.
Father of 3, a fan of classic Italian cars and cycling, I’m an Information Technology Manager with over 23 years’ experience in various roles in both the national and international markets. I’ve always had a passion for technology, particularly cybersecurity, and I enjoy good wine and family events. I’m a generation X vintage, who never fails to be motivated by the following generations, and who believes in sharing knowledge and constantly challenging the status quo.