Article by Stelios Bourazanis, Technical and Innovations Director of  IDEAL Software Solutions. 

I truly enjoy mentoring young people who are beginning their journey in technology, starting my journey through initiatives like Job-Pairs. I spend a lot of time discussing career concerns with junior developers, and one topic consistently comes up: anxiety about AI. 

Here is my perspective for every junior developer out there. 

In 2023, the narrative was dramatic: AI would replace developers, junior roles would disappear, and learning to code would become irrelevant. It is 2026. Developers are still here. Engineering teams were not automated away. Software did not stop evolving. But, at the same time, something important has changed: the way we work. 

Even after coding professionally for decades, when AI first exploded, I had a small moment where I asked myself what AI really changes, and how it would affect my development teams’ workflow. Back in the early days my own coding workflow used to look very different. If something didn’t work, I would Google the error message, open ten Stack Overflow threads, and read half of each one. I would scroll through comments, maybe read a technical book, try three different solutions, and most probably break something else along the way. Sometimes I would spend one and a half days just fixing one small issue, and that … was normal. Today, I paste the error into my favorite coding agent. It explains what’s wrong, it suggests a fix, and it even writes the function. That is not replacement, that is multiplication. 

Now the obvious question: how does a junior developer gain experience if AI is doing so much?  

AI is very good at writing repetitive code, small helper functions, tests, refactoring, and simple features. It’s great at boilerplate. What used to be entry-level repetition is now automated in seconds.  

So where will a junior’s experience come from?  

It will come from: 

• understanding what the AI generates.  
• reviewing it critically.  
• breaking it on purpose.  
• asking why this solution works and what would happen if the constraints changed.  
• debugging when the generated code behaves unexpectedly in real conditions. 

But software engineering isn’t just about typing code, it’s about making decisions: 

• Where should this logic live? 
• How will this scale? 
• What happens under load? 
• What are the security implications? 
• How do we design for failure? 

AI can generate a feature that works in isolation. But production systems operate under constraints, traffic, and uncertainty. AI can suggest, but humans decide, and that part hasn’t changed, and I don’t see that changing anytime soon, to be honest. 

The real risk today is not job replacement. It is shallow understanding. 

The more experience you have, the more powerful AI becomes. Because you know what to accept, you know what to reject, you know when it’s wrong and when it’s right. That’s the key. If you let AI think for you, you will feel productive, but you will not grow. If you use AI to support your thinking, you will grow faster than ever before. That’s the difference. 

Junior hiring cycles will fluctuate, as they always have. Strong fundamentals, reasoning, problem solving and system thinking remain durable advantages. In fact, in this environment, they matter more. Use AI, but don’t outsource your brain. Let it make you faster, let it multiply your effort. But always understand what you’re building. 

We are not entering the era of effortless coding. We are entering the era of thoughtful engineering. 

Five years from now, AI will be better. That’s guaranteed. The only real question is: will you be better too?