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Davy

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Why Software Engineers Still Need Computer Science Fundamentals in the AI Era

Why Software Engineers Still Need Computer Science Fundamentals in the AI Era

November 11, 2025 (1mo ago)

In an age where AI can churn out code in seconds, you might wonder if learning the fundamentals of computer science is still worth the effort. At Hackages, we believe the answer is a resounding yes. Even as AI-assisted coding tools become more powerful, having a strong foundation in computer science can give software engineers a unique edge. Here are five key advantages that highlight why those fundamentals are still crucial—and how Hackages can help you hone them.

Deeper Understanding of Code Quality

When you understand computer science fundamentals—things like data structures, algorithms, and computational complexity—you gain a deeper intuition for what makes code truly high-quality. You're not just looking at whether the AI's code works—you're looking at whether it works well. This makes you a more effective code reviewer, ensuring that AI-generated solutions are not only correct but also maintainable and efficient.

Ability to Spot AI Limitations and Errors

AI is impressive, but it's not perfect. Sometimes it produces code that's technically correct but not optimal, or misses edge cases that a trained human eye can catch. With a solid CS background, you can identify those limitations. You'll know when the AI's code is taking shortcuts or making assumptions that don't quite hold up, allowing you to step in and correct course.

Confidence in Customisation and Tweaking

When you understand the "why" behind the code, you're in a much better position to tweak and customise it. AI-generated code can be a great starting point, but real-world projects often need a human touch. Your foundational knowledge lets you confidently refine that code to meet your specific needs, ensuring that the final product is tailored and robust.

Stronger Problem-Solving Skills

Fundamental CS knowledge isn't just about understanding existing patterns; it's about developing a problem-solving mindset. AI can handle a lot, but there will always be unique challenges that require human creativity and insight. By grounding yourself in the fundamentals, you become a better problem solver who can tackle complex issues that AI might not fully grasp.

Long-Term Adaptability

Technology evolves, and new tools will continue to emerge. But a strong computer science foundation is timeless. It gives you the adaptability to learn new paradigms and tools as they arise. In other words, you're not just learning how to code for today—you're equipping yourself to thrive in the future.

Building Skills with Hackages

At Hackages, we're committed to helping you build these skills through our unique test-driven learning platform. We offer surgically designed exercises that target exactly the areas you need to grow. With our AI-driven tools, we don't just give you random exercises—we provide personalised, focused challenges that help you build a rock-solid foundation and become a more confident, adaptable engineer.

Conclusion

So yes, the fundamentals still matter—and at Hackages, we're here to make sure you master them for the AI era and beyond.

PS: Originally published here

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