In the world of programming, especially competitive coding or technical interviews, there's always one big question: Should I solve hundreds of problems, or focus on fewer but more insightful ones?

Quantity Teaches Patterns Solving a lot of problems exposes you to a variety of problem types, tricks, and edge cases. It builds intuition over time. You start recognizing patterns faster, and brute force becomes your debugging tool rather than your go-to strategy.

But here's the catch: if you’re solving 50 easy problems the same way without understanding why the solution works or fails, you’re just spinning your wheels.

Quality Builds Depth On the other hand, solving fewer but quality problems forces you to go deep. These are the problems that make you think, get stuck, revisit your approach, and finally understand the core concept behind them. One well-understood dynamic programming or graph problem can teach you more than 20 surface-level ones.

This is the type of learning that sticks and scales — the kind that makes the difference in a real interview or a timed contest.

The Ideal Strategy? Start with quantity, especially when you're a beginner. Get your hands dirty, get used to problem statements, and build your stamina. But once you're comfortable with the basics:

Switch to quality. Choose problems that challenge you, break your mental model, and leave you with “Aha!” moments.

And always reflect after solving:

Could you optimize it?

Did you find multiple approaches?

What did you learn that can be reused?