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SDA / The future of programming: trends and forecasts

The future of programming: trends and forecasts

Programming is an essential part of modern life. Technology continues to evolve rapidly and the future of programming is a fascinating and interesting topic to explore in depth. In this article, we take a look at some of the future trends and forecasts for programming.

Artificial intelligence and machine learning

Artificial Intelligence (AI) and Machine Learning (ML) are two of the most important trends in programming today, and their influence will continue to grow in the future. As AI and ML become increasingly sophisticated, they will transform the way we interact with technology, from chatbots and virtual assistants to self-driving cars and personalised healthcare.
To keep pace with these developments, programmers need to familiarise themselves with new programming languages and frameworks designed specifically for AI and ML applications, such as TensorFlow, PyTorch and Keras. In addition, programmers will need to work closely with data scientists and other experts to develop and deploy AI and ML models efficiently.

Internet of things (IoT)

The Internet of Things (IoT) is another trend that will influence programming in the future. The IoT refers to a network of devices, sensors and other objects connected to the internet, allowing them to communicate with each other and collect and share data.
In order to develop IoT applications, programmers need a deep knowledge of embedded systems programming and real-time operating systems, as well as experience with IoT-specific languages and protocols such as MQTT, CoAP and Zigbee. They also need to be skilled in data analysis and visualisation, as IoT devices produce large amounts of data that need to be processed and interpreted.

Quantum computing

Quantum computing is an emerging field that promises to revolutionise computing technology by using quantum bits to perform computations. As quantum computers can solve complex problems much faster than traditional computing, they have the potential to transform many industries, from healthcare to finance and logistics.
However, quantum computing requires a new approach to programming. Programmers need to learn new programming languages and tools designed for quantum computing, such as Q#, Cirq and Qiskit. They also need to develop a thorough knowledge of quantum mechanics and algorithms to create efficient quantum programs.

Low-code and no-code platforms

Low-code and no-code platforms are a trend that is gaining popularity due to their ability to simplify programming and make it accessible to non-technical users. These platforms use visual interfaces and drag-and-drop tools to allow users to create applications without writing code by hand.

While low-code and no-code platforms will not fully replace traditional programming, they will become increasingly common in the future. Programmers will need to adapt, learn how to work with these platforms and understand how they can be integrated with traditional programming methods.


The future of programming is exciting as new technologies and trends are constantly emerging. As artificial intelligence, the Internet of Things, quantum computing, and low-code and no-code platforms become more prevalent, programmers will need to adapt and develop new skills and knowledge to keep pace with these developments. By staying abreast of the latest trends and continuously learning and expanding their knowledge, programmers can help shape the future of technology and programming.

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