Why Developer Fundamentals Still Matter in the Age of AI

Writing code line by line is becoming less central, and the role of the web developer is changing rapidly. But that doesn’t mean AI is here to replace developers — AI is a multiplier.

I joke that AI needs a babysitter, but the reality is that understanding architecture and good engineering practices is now more important than ever. With AI being able to generate 90% of the code, the developer’s role shifts toward reviewing, testing, and ensuring the system actually behaves as intended. AI has no accountability, so that responsibility still sits with the developer.

Creativity and problem solving are still at the core of programming. That’s essentially why I started coding in the first place, and that hasn’t changed. If anything, AI has just made it faster to get to the end goal of building software and solutions.

Most of the time, it comes down to nurturing good structure — making sure bugs are properly ironed out and that there’s no misunderstanding between what you prompt and what gets built.

I’ve found it’s better to break tasks down into small chunks and test each one before moving on, rather than saying “build me a full project.” In a way, this is very similar to how I approached development before the AI hype. The experience of understanding architecture and how to build a project from beginning to completion is more important than ever.

With experience in these fields, I do worry that newer developers getting into coding might skip some of these essential skills and try to fast-track their projects, which could lead to much bigger problems later on.

Time saved by AI can now be used to fix issues we never had time to address before, or to come up with more innovative ideas. We are already seeing new solutions emerge, and I think that will continue.

With more time and experience, we will also learn to work better with AI and its outputs. Like any tool, its usefulness improves with skill and familiarity.

Debugging and understanding the systems we create will never go away. There are still manual processes that AI cannot handle, and it will never fully replace the need for human oversight.

Without guidance, “vibe-coded” projects can quickly bloat. AI can generate a large amount of code that works on the surface, but without an experienced developer reviewing it, it often won’t be well structured or maintainable.

Ultimately, there is a real risk of becoming overly reliant on AI — and that’s where strong fundamentals matter most.