📌 Do you need algorithms in the era of frameworks?

Many young developers think "knowing React or Next.js is enough". But frameworks come and go, while algorithmic thinking stays. Searching a list, sorting data, finding duplicates — these are all algorithmic problems you meet in everyday work.

Choosing the right data structure can change your program's speed hundreds of times over. Using a Set or Map instead of searching an array — a small change with a big impact.

What is enough to know? 💡

For practice, this is enough: understand how arrays, objects (hash maps), sets, stacks and queues work; be able to roughly estimate your code's speed with Big O notation; know the ideas behind classic algorithms such as sorting and binary search.

That's exactly what interviews ask about. Big companies use algorithmic questions to check whether a candidate can break a problem into parts and solve it — not to hear memorized answers.

How to practice? 🚀

Make it a habit to solve 2-3 problems a week on LeetCode or Codewars. Most importantly — don't copy the solution, think it through yourself first. Even if you fail, 20-30 minutes of trying trains your brain to think algorithmically.