Without realizing, artificial intelligence is already transforming the economy and many industries worldwide. From banking to journalism, through customer service, education and, of course, software development.
The advances are so fast that what seemed impossible yesterday, today is integrated into the most daily work routines. Chatbots manage procedures that previously required human attention, text generators automate complete reports and systems capable of writing code are becoming usual assistants for developers.
In this new scenario, The impact on the role of programmers is disturbingdue to the fact that some fear being left without work, while others, on the other hand, claim that they had never worked so much.
It is important to mention that this is the new dividing line that has caused generative tools such as Chatgpt or Gemini, programmers that will be displaced by this technology, and others that have more work precisely to adopt it.
Two types of programmers that the AI has created
It should be noted that not all The profiles of the sector are adapting to the same pacesince a significant part of developers continues to see artificial intelligence with distrust. They question their reliability, criticize their mistakes and feel more and more remote to the creative process.
What was previously an activity that required logic, experience, as well as decision making, now begins with an instruction to a model that generates several lines of code, often inaccurate, which then must be reviewed and correct. For many, that is not programming. Is to correct a machine.
This rejection not only relies on technical arguments, but also on the emotional, where writing code was part of your professional identity and delegating all the work to an AI represents a loss of control, autonomy and satisfaction for well done work.
However, companies are not waiting, in which more and more managers value the ability to adapt to the new workflow and prioritize efficiency.
Programmers who resist using tools such as Github Co -cilot or smart editors face a reality: The positions that were already occupied are already being replaced by profiles more open to human-machine collaboration, And this is alarming.
Faced with this situation, another profile emerges that assumes change naturally. They are programmers who have understood that AI is not an enemybut a tool that must be learned to handle. Instead of writing the entire code from scratch, its function has moved to more strategic tasks, such as reviewing, adapting and validating the work generated by algorithms.
It is no less complex, on the contrary, it demands more criteria, more experience and more analysis capacity. These developers no longer see AI as a threat, but as a resource to save time in repetitive tasks, generate rapid prototypes or structure ideas.
True effort moves to what cannot be easily automated, where system architecture, safety, scalability and design of custom solutions. Many compare this new function with that of a code editor. And, like every editor, his work is to ensure that the final result makes sense, although he has not written it completely.
It does not mean that everything works without errors, and that is to check code generated by AI can be frustrating. There are functions that do not exist, little efficient solutions and difficult problems to detectr.
But the market no longer asks if you prefer to write or review, but require rapid and well -made results. In addition, the tools driven by artificial intelligence, however imperfect, are helping to finish the work faster.
The future: programmers teaching machines
Everything indicates that this trend will not stop, since The tools will continue to evolve, but they will also need more and more supervision. The AI may generate code, yes, but without deep understanding of the context or judgment.
There comes the new role of the programmer, which is to become a supervisor. The developer of the future will be someone who understands how AI works, who knows how to integrate it into complex processes and that, if necessary, can correct their deviations with knowledge.
It will not be a slave of the prompt, but someone capable of designing workflows where collaboration with automated systems is productive. The more you train in this new scenario, the more relevant your role will be, but the more ignore it, the more likely it is.
Know How we work in NoticiasVE.
Tags: Artificial intelligence, developers