Why Coding Fundamentals Matter More Than Ever in the Age of AI

Artificial Intelligence has rapidly changed the way students learn coding. From auto-generated code snippets to instant debugging suggestions, AI-powered tools have made programming feel faster and easier than ever. However, as these tools become more accessible, a crucial question emerges: are students still building strong coding fundamentals, or are they leaning too heavily on automation?

The risk of over-relying on AI in programming

AI tools can assist with syntax, logic suggestions and even entire code structures. While this can boost productivity, experts warn that excessive dependence may weaken a student’s problem-solving ability. Coding is not just about writing lines of code — it is about understanding logic, structure and flow. Without a solid foundation, students may struggle to debug errors, optimise performance or adapt to new programming environments.

For young engineers entering the workforce, this gap can become evident during real-world projects, where AI-generated solutions may not fully address complex system requirements.

Why fundamentals still form the backbone of tech careers

Programming basics such as data structures, algorithms, object-oriented concepts and database logic remain central to nearly every tech role. Whether a student is working on web development, backend systems or enterprise software, these fundamentals ensure long-term adaptability.

A young SAP backend developer, and recent Apeejay Stya University alumnus Anirudh Chauhan, working in the ERP domain shared a practical perspective, noting that AI tools are “only partially accurate” and often fail to deliver complete solutions for complex backend tasks. His experience highlights a key reality — AI can support learning, but it cannot replace the understanding that comes from writing and testing code independently.

Learning to code before learning to automate

Educators increasingly emphasise that students must first learn how and why code works before relying on intelligent tools. Writing logic from scratch builds analytical thinking, patience and confidence. Once these basics are in place, AI can then be used responsibly — as an assistant rather than a substitute.

Students who focus on fundamentals early often find it easier to transition across technologies. As programming languages and frameworks evolve, core logic remains constant, making foundational skills a long-term asset.