A DSA (Data Structures & Algorithms) approach is most useful when the problem involves efficiency, scalability, or optimization. If you’re dealing with large inputs, need to minimize time/space complexity, or want a reusable, structured way to solve a class of problems (like graph traversal, searching, sorting, or dynamic programming), that’s where DSA really shines.

For everyday coding tasks or small projects, you might not need a full DSA-heavy solution — but for interviews, competitive programming, or systems where performance matters, it’s almost always worth applying.

I’ve also been exploring some customization resources at :

that touch on structured approaches and problem-solving.