For a long time, the standard advice for computer science students was simple:
Learn a programming language, practice Data Structures and Algorithms, solve LeetCode problems, and prepare for interviews.
While this advice is still valuable, the software industry has evolved significantly over the last few years.
Today, companies are building large-scale distributed systems, cloud-native applications, AI-powered products, and highly scalable platforms. As a result, the expectations from software engineers are changing as well.
DSA remains important because it teaches problem-solving, logical thinking, and helps in technical interviews. However, real-world software development involves much more than solving algorithmic problems.
