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Design better software
Stand out in the age of AI. Develop the high-level thinking and design skills that set real developers apart.
In a world where AI is getting better at writing basic code, knowing how to really solve complex problems is more valuable than ever.
Whether you’re building web apps or working with machine learning models in Python, understanding software design is what sets great developers—and data scientists—apart.
Knowing how to use libraries like pandas, scikit-learn, or Django is not enough. If you rely only on frameworks, tutorials, or whatever AI spits out, you’ll hit a ceiling. Your code works, but it’s fragile, hard to extend, and even harder to debug. Eventually, it gets in the way.
Have you noticed how your code becomes harder and harder to maintain as your projects grow in complexity? Bad design decisions tend to multiply and quickly lead to code that’s incredibly hard to work on. AI coding tools likely make things even worse as the code is being generated without taking the context into account, and it’s typically based on outdated training data, leading to technical debt from the get-go.
The ship needs a captain.
Someone who understands the big picture. Someone who thinks in patterns and principles and turns that into design decisions that make software simple and easy to maintain. Someone who has a long-term mindset. This is who you need to become to stand out.
Especially when AI and automation handle more of the routine work, your ability to think clearly and design well becomes your superpower.
But just like any other skill, it doesn’t just pop up out of thin air. You need to train and develop it, using the right methods.
