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Problems with LeetCode

The Solution

What to Do Instead

Conclusion

Don't Just LeetCode: Why Grinding Problems Fails

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Arslan Ahmad
Grinding hundreds of LeetCode problems is slow and unreliable. Here is why volume alone does not work, and the approach that replaces it.
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Problems with LeetCode

The Solution

What to Do Instead

Conclusion

Coding Interviews are getting harder to pass. To prepare for coding interviews, you will need weeks, if not months of preparation.

No one really likes spending that much time preparing for the coding interviews. So is there a smarter solution?

First, let’s look at the problem.

Anyone preparing for coding interviews definitely knows LeetCode. It is probably the biggest online repository for coding interview questions. Let’s take a look at what problems people face when using LeetCode.

Problems with LeetCode

There are more than 2k problems in LeetCode. The biggest challenge with LeetCode is its lack of organization; it has a huge set of coding problems, and one isn’t sure where to start or what to focus on.

One wonders, is there an adequate number of questions one should go through to consider themselves prepared for the coding interview?

I would love to see a streamlined process that guides me and teaches me enough algorithmic techniques to feel confident for the interview. As a lazy person myself, I wouldn’t like to go through 500+ questions.

The Solution

One technique that people often follow is to solve questions related to the same data structure; for example, focusing on questions related to Arrays, then LinkedList, HashMap, Heap, Tree, or Trie, etc. Although this does provide some organization, it still lacks coherence. For example, many questions can be solved using HashMaps but still require different algorithmic techniques.

I would love to see question sets that follow not only the same data structure but also similar algorithmic techniques.

The best thing I came across was the problem-solving patterns like Sliding Window, Fast and Slow Pointers, Topological Sort, etc. Following these patterns helped me nurture my ability to ‘map a new problem to an already known problem’. This not only made this whole coding-interview-preparation process fun but also a lot more organized.

Coding patterns enhance our “ability to map a new problem to an already known problem.” For a list of coding patterns, check Grokking the Coding Interview.

What to Do Instead

Stop measuring progress in problems solved and start measuring it in patterns recognized. I have gathered around 20 of these problem-solving patterns, and once a pattern is familiar it unlocks dozens of problems at once.

The full catalog lives on its own page: all 20 coding interview patterns, each with a description, the situations it applies to, and example problems. For the LeetCode-framed view, meaning which patterns return the most against the actual distribution of LeetCode problems, see our guide to LeetCode patterns.

The coding courses are one track of a larger series. The Grokking course series page lists every course with the level it is written for and which one to take first.

Here is a short intro to each pattern with sample problems:

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Conclusion

Like it or not, LeetCode-type questions are part of almost every programming interview, so every software developer should practice them before an interview. Their only option is to prepare smartly and learn problem-solving by focusing on the underlying problem patterns.

Learn more about these patterns and sample problems in Grokking the Coding Interview and Grokking Dynamic Programming for Coding Interviews.

Here are some interesting readings on Coding and System Design interviews:


Choosing a problem list? See the honest comparison of Blind 75 vs NeetCode 150 vs Grokking 75, including which list fits which timeline.

The same 75 problems, grouped by the pattern that solves each one, with the tell for every pattern, are in Blind 75 Grouped by Pattern.

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