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As AI continues to assume more and more new competitions, junior coding, as we knew it, is quickly becoming a thing of the past. The tasks that used to be bread and butter for Junior developers, such as repetitive command sequences, HTML design or simple devote configurations, are now being managed reliably by assistants of AI such as Chatgpt, Github Copilot and Amazon Codewhisperer.
This is not just an update at speed and efficiency, we are seeing a serious structural change here. So where does that leave the developers of entry level? And, speaking more widely, where does the software industry leave as a whole?
The level of beginner that will go to the avant -garde
For decades, software engineering as a field had a fairly predictable way: start with the basics, build some destination pages, write test cases, solve minor problems. As their skills grow, they can move towards architectural thinking and product ownership.
But now the AI is greatly changing how the lower end of that staircase works, since most junior level tasks can be done alone.
As a result, beginners who enter the industry are requested more and more to contribute to a level that used to require years of experience. It is no longer just writing code: it is about understanding systems, structuring problems and working with AI as a team member. That is a difficult task. That said, I think there is a path to follow. Start changing the way we learn.
If you are just beginning, avoid trusting AI to do things. He is tempting, of course, but in the long run, he is also harmful. If you omit manual practice, the creation of a deeper understanding of how software really works is being lost. That understanding is essential if you want to become the type of developer you can lead, architect and guide AI instead of being replaced by it.
The way I see it, in the near future, the most valuable people of technology will not be those who write a perfect code. They will be those who know what should be built, why it matters and how to obtain an AI system to do most of the work in a clean and efficient way. In other words, the Coder of Tomorrow is more like a product manager with a solid technical experience.
The teams are also changing
According to everything we cover before, I also feel the need to point out that it is not just people who need to rethink their roles. The entire teams are changing. Where we once had clearly defined roles (Front-End developer, Back-End specialist, Devops engineer, quality control tester, we will soon see a developer who manages a complete pipe with the help of AI.
Ai-AI developers will replace large teams that used to be necessary to advance a project. In terms of efficiency, there is much to celebrate on this change: reduced communication time, faster results and higher bars for what a person can realistically achieve.
But, of course, this does not mean that the teams disappear completely. It’s just that the structure will change. The collaboration will focus more on strategic decisions, product alignment and assurance that AI tools are used in a responsibility and effectively. Human entry will be less about implementation and more about direction.
AI is creating a new professional career
If we look five or seven ahead, I suspect that the idea of a “developer” as we know it today will have changed something completely. We are likely to see more hybrid roles: parts developer, partial designer, product thinker in part. As already mentioned, the central part of the work will not be to write code, but to shape ideas in the work software using AI as its main creation tool. Or maybe, even as a cooker.
Being technically fluid will continue to be a crucial requirement, but it will not be enough to simply know how to code. You must understand product thinking, user needs and how to manage the production of AI. It will be more about system design and strategic vision.
For some, this may sound intimidating, but for others, it will also open many doors. People with creativity and a special ability to solve problems will have great opportunities ahead.
The landscape is changing, yes, we must not escape that fact. But for those willing to adapt, one could argue that he is changing in his favor. The end of junior coding is not the end of learning. It is a sign that we need to reconsider what type of talents we cultivate, how we structure the teams and what makes someone a great developer.
In my opinion, instead of crying the loss of basic tasks, the industry as a whole must focus on developing the skills that cannot be automated. At least not yet. That means implementing a hybrid approach and learning to work with the partner instead of a competitor.
Roman eoshvili is the founder of Fulfill control.
