Is the end of software development with the arrival of AI?
Much has been said and discussed lately about whether software developers are about to become an endangered species thanks to advances in artificial intelligence (AI). Spoiler: I don’t think so. But, yes, a gigantic change is coming in how we understand programming today, similar to the technological revolutions that have marked the history of software.
A look at the past: from assembly languages to nocode
In its beginnings, programming was anything but simple. The first developers programmed by connecting physical circuits. Later, instructions in binary code and assembly languages arrived. Over time, we moved up a couple of levels on the abstraction ladder, to languages like Fortran, COBOL, C, and Java. Each leap in abstraction made programming more accessible and faster, although it also decreed the obsolescence of certain skills.
Remember when BASIC was a toy, but then it became essential? Later, frontend and backend frameworks and countless APIs arrived that simplified previously complex processes. But the important thing is this: each new technological wave did not extinguish programmers, it multiplied them! Each technological leap made software development a little more democratized, but also required new skills.
AI is not the end, but the beginning of a professional reinvention
Today, advanced models such as ChatGPT or GitHub Copilot are leading a new revolution in software development. That now you can simply “talk” to an AI to generate code? It’s true. This new paradigm called “Chat-Oriented Programming” suggests that programming will be more conversational and accessible. However, does this mean that human programmers will be irrelevant? Not at all.
As expert Steve Yegge points out, this transition will affect those clinging to old methodologies more than developers willing to learn and adopt AI-based tools. In other words: adaptability will be the new superpower.
The AI paradox: more automation, more jobs
La historia nos enseña que cuando la tecnología avanza y automatizamos tareas, lejos de reducirse las oportunidades laborales, las funciones humanas tienden a diversificarse. Según el concepto de “Paradoja de Jevons”, cuando algo se vuelve más eficiente (en este caso, la generación de código), el consumo y necesidad de ese recurso tienden a dispararse, creando nuevas oportunidades.
For example, today AI can do the “boring part” of the job, such as code scaffolding or basic prototyping. However, human developers are responsible for understanding specific needs, debugging, and monitoring more complex solutions. And that complexity will only increase.
The shadow of AI: unauthorized uses in the corporate environment
Now, while companies are still playing catch-up, many employees have chosen to use AI tools independently and “unofficially” within their jobs, known as shadow AI. This trend reflects not only gaps in corporate policies, but also the urgency of officially incorporating AI into work environments.
An example cited is the use of tools such as ChatGPT or Cursor without authorization from IT departments. The reason? According to an anonymous engineer, enterprise options are often limited or cumbersome to implement. There is a clear lesson here for companies: improve the flexibility and updating of your tools, rather than dampening the enthusiasm of your employees.
The dangers of shadow AI: control and privacy
A critical aspect is the risk of exposing sensitive corporate information in unregulated tools. Some apps store data entered by users as part of their training, which opens the door to potential security breaches. However, experts such as the CEO of Harmonic Security believe that the real problem is not in direct exposure, but in the lack of control over where that data ends up.
The new programming: more human, no less essential
A key lesson from all of this is that programming is not disappearing, but it is evolving into something closer to human thinking: solving problems, contextualizing, and understanding how to use these new tools to create innovative solutions.
Furthermore, according to Simon Haighton-Williams, CEO of Adaptavist, AI democratizes analytical and creative capabilities. A junior developer can be incredibly empowered by using AI, but the differential value will continue to be the experience and judgment of the professional.
Conclusion: adapt or fall behind
The time is now. AI will change not only how we program, but how we design and think about digital products. However, far from supplanting the human being, it is enhancing our capabilities to take on more challenges. So, for both companies and individual developers, the key is to embrace change, take advantage of the new technological wave and become the leaders of the future.
Because, at the end of the day, programming doesn’t die: it just reinvents itself.