Why AI increases the demand for senior developers.

AI increases the demand for senior developers because, while AI can write code, it cannot judge whether that code is correct. As AI takes over the execution of programming work, value shifts to the people who can direct, check, and correct AI. That is the work of a senior developer.

The concern among developers is present, and it is understandable. Three-quarters of adult Dutch citizens believe that AI will cause jobs to disappear, according to research by the CBS. But labor economist Anna Salomons from Utrecht University points to an important distinction: technology automates tasks, not jobs. AI takes over repetitive work. Judgment and responsibility remain with humans.

In this article, you will read about how AI is changing the work of developers, why AI is not replacing experienced developers, and why your seniority is becoming more valuable.

How does AI change the work of developers?

AI primarily changes how code is created. When programming with AI, tools like GitHub Copilot generate entire blocks of code, write tests, and suggest standard solutions. As a result, the execution-based, repetitive part of the work becomes faster.

For many developers, this means that typing code becomes a smaller part of the day. AI supplements routine functions, sets up boilerplate, and solves familiar problems using patterns it has seen before. Work that is predictable goes faster.

But there is a limit. AI operates based on what it has seen before and generates what is statistically probable. It does not know if a solution fits your system, whether a choice is sustainable in the long term, or if a seemingly working solution will soon become a problem. That remains for the developer to determine.

Why doesn't AI replace senior developers?

AI does not replace senior developers because, although AI can generate code, it cannot judge whether that code is good. A senior developer sees whether a solution fits with the rest of the system, if it is secure, and whether it won't become a problem in a year. That judgment is what AI lacks.

An AI tool delivers an answer that looks good, but it does not know the context of your organization. It does not know which technical choices were made previously, what dependencies are at play, or why a certain approach does not work in your situation. An experienced developer always weighs these factors because they have experienced them before.

Additionally, someone must verify the output of AI. Code generated by AI can contain bugs, introduce security vulnerabilities, or deviate from team standards. Anyone who does not recognize this unwittingly introduces risk. Recognizing these risks requires experience, and you only build that through years of real work.

As a result, the work of a senior is shifting. Less time spent writing code yourself, more time directing, reviewing, and correcting what AI and less experienced developers produce. This role becomes more important as AI generates more code.

Why are senior developers becoming more important?

Senior developers are becoming more important because AI takes over entry-level work, while work that requires oversight and judgment increases. Someone must direct and check the output of AI. Only someone with enough experience to see what is correct and what is not can do that.

At the same time, the roles where developers used to start are under pressure. AI takes over the simple, repetitive work traditionally assigned to juniors. This makes it harder for beginners to enter the field and build experience, while the more complex roles remain. This makes experienced developers scarcer and more valuable. You can read about which technical roles are changing and which are staying in our article about which tech jobs will disappear in 2026.

Those who hire fewer juniors today because AI does their work will have fewer seniors in a few years, because seniority grows out of years of experience. That makes it complicated. However, organizations that realize this place higher value on the experienced people they already have.

For you as a senior developer, this means a stronger position. You use AI to work faster, and your judgment becomes the differentiating part of your work.

What does this mean for you as an experienced developer?

Your value is shifting from writing code to evaluating it. Typing is faster with AI, but determining what is good, what fits, and what remains sustainable becomes more important. That is where your advantage lies.

It helps to see AI as a tool that accelerates your work. Those who learn to use AI well will deliver faster and free up time for the challenges that truly matter. The developers who remain most in demand use AI and, at the same time, know where it falls short.

So, you do not need to reinvent your profession. Your experience is what AI lacks. Combine that experience with the speed of AI, and you become more valuable.

What is Koodin's view on this?

At Koodin, we work with senior professionals who have at least seven years of experience. In a market where AI takes over execution-based work, that experience becomes more important. Our developers write code, but their true value lies in the judgment behind it: knowing what works, what fits, and what is sustainable in the long term.

Would you like to know what it is like to work as a senior developer at Koodin? Have a look at working at Koodin.

Are you an experienced developer looking for a place where your seniority is valued among other seniors? Get in touch with Noni.

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