Intermediate

Is solving LeetCode problems or learning DSA a must?

📖 1 min read 📅 January 2025 🏷 Intermediate
Quick Answer

LeetCode-style problems are mainly a requirement for passing technical interviews at large tech companies (FAANG, etc.). For most software development jobs, practical project experience matters far more. Learning DSA is valuable for understanding how code works, but do not let it consume your entire learning journey.

Data Structures and Algorithms (DSA) and platforms like LeetCode have become synonymous with coding interviews, especially at large tech companies. But there is a big difference between being good at LeetCode and being a good software engineer.

If you are targeting jobs at companies like Google, Meta, or Amazon, yes — you will need to practice LeetCode-style problems. These companies use algorithmic interviews as a screening mechanism. You will need to understand arrays, linked lists, trees, graphs, dynamic programming, and time complexity analysis.

For the majority of software development jobs — especially at startups, agencies, and mid-size companies — your portfolio and experience matter more. Being able to build and ship real projects, write clean code, and collaborate with a team is far more important than solving binary tree problems on a whiteboard.

Learn DSA at a fundamental level. Understand big O notation, common data structures, and basic algorithms. But do not spend months grinding LeetCode at the expense of building real projects.