The programming profession has experienced an exponential growth in the last decades, with an increasing demand for technical skills, with very attractive salaries and benefits for those who have experience especially in all web and mobile technologies. For example, today it is difficult to find professionals with experience and technical level to perform as fullstack programmers in .NET Core and Angular, among others.
However, with the rapid advances in the field of artificial intelligence (AI), it is crucial to examine how this technology is impacting and transforming the profession. Companies, due to the shortage of supply and rising salaries are also looking for their “essence” to make the most of these profiles and maximize their investments.
These are some of the lines of influence of AI
1. Task automation: AI automates routine and repetitive tasks. Code generation tools, automated testing and AI-assisted debugging are just a few examples of how AI can streamline and simplify the software development process. This implies that the programmer can and should focus on providing much more value in their performance and this requires a greater intellectual effort and deployment of capacity to deal with much more complex problems.
2. Software development assistance: AI is being used to assist programmers in software development, in the coding of programs. By analyzing large data sets and machine learning, AI can provide recommendations and suggestions to improve the design, functionality and performance of applications, as well as apply best practices in coding, migrate legacy code or evolve software that is still developed in old, inefficient or graphically limited languages. AI-based virtual assistants and chatbots can also provide quick answers to common questions during the development process.
3. Changes in required skills: As AI continues to advance, programmers will need to acquire new skills to adapt to this transformation. In addition to mastering traditional programming languages and frameworks, knowledge in machine learning, natural language processing, data analytics and other AI-related disciplines will be essential. Programmers will also need to be able to collaborate effectively with AI systems and leverage their capabilities in their projects.
4. Ethics and responsibility: With the advancement of artificial intelligence, programmers will also face new ethical and responsibility challenges. They will be responsible for ensuring that AI systems are fair, transparent and unbiased, avoiding discrimination and ensuring data privacy. In addition, they will need to address the social and ethical implications arising from the use of AI in software development.
5. Adaptation and collaboration: Instead of viewing AI as a threat, programmers can seize it as an opportunity to improve their work and collaborate with AI systems. The ability to work together with artificial intelligence can lead to greater efficiency and productivity in software development, allowing programmers to focus on more complex and creative tasks.
While the exact impact of AI on the profession remains to be seen, it is clear that this technology will have a significant impact on the labor market. Those professionals who adapt, acquire new skills and collaborate effectively with AI will be better prepared to meet challenges and seize opportunities, as well as maintain their competitive edge and continue to enjoy extraordinary market conditions in some cases.
What do you think? Will it complement, replace or reinvent the profession?
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