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Grokking the Coding Interview: Patterns for Coding Questions

Fast track your coding interview prep by learning coding patterns. Act smartly, and follow the coding patterns.

Level:

Intermediate

Study Time:

90h

Lessons:

671

Playgrounds:

721

Updated

Today

4.6

(64,266 ratings)

192,798 learners

Created byArslan Ahmad

Ex FAANG Manager, Expert Behind Grokking the Coding Interview: Patterns for Coding Questions

Course Overview

Coding interviews are becoming increasingly challenging. A few years back, brushing up on key data structures and going through 50 to 75 coding interview questions was more than enough prep for an interview. Today, everyone has access to massive collections of coding problems, and these problems have become increasingly difficult to account for. The process has gotten more competitive. When our team sat together to brainstorm ideas to make the interview process easier for candidates, we quickly realized that one skill helped us the most when preparing for coding interviews: "the ability to map a new problem to an already known problem." To help candidates with this, we have compiled a list of 31 common and 11 advanced coding patterns to help solve coding questions. The idea is that once you are familiar with a pattern, you'll be able to solve dozens of problems with it. The techniques taught in this course have helped developers land jobs at top companies like Google, Meta, Amazon, Oracle, OpenAI, and Microsoft.

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What you'll learn in Grokking Coding Interview: Patterns for Coding Questions

How to recognise the pattern behind a coding question, so one technique unlocks a whole family of problems instead of one answer you happened to memorise.
More than 300 hand-picked interview problems, each with a problem statement, an in-browser editor to attempt it yourself first, and a full worked solution.
Time and space complexity reasoning for every solution, which is what interviewers ask about once the code already works.
Tree and graph work done properly: breadth first and depth first search, level order traversal, matrix islands, topological sort, and union find.
Advanced patterns most courses leave out: segment trees, binary indexed trees, meet in the middle, articulation points and bridges, and prefix sums.

All 41 coding patterns, from Two Pointers and Sliding Window through Topological Sort and Union Find to Segment Trees and Binary Indexed Trees.
Solutions in Python, Java, C++, JavaScript, Go, and C#, so you can prepare in the language you will actually interview in.
The highest-yield array patterns first: Two Pointers, Fast and Slow Pointers, Sliding Window, and Merge Intervals, which between them account for a large share of real interview questions.
Dynamic programming split into families you can actually recognise, including 0/1 Knapsack, Fibonacci numbers, and palindromic subsequences, rather than one intimidating topic.
34 Test Your Knowledge problems across easy, medium, and hard, where nothing tells you which pattern applies, which is the only honest rehearsal for the real thing.

Course Content

• 49 Chapters • 671 Lessons

Introduction

3 lessons

Who Should Take This Course?

Course Overview

How to Use This Course

Warmup

17 lessons

Why warmup?

Contains Duplicate (easy)

Pangram (easy)

Reverse Vowels (easy)

Valid Palindrome (easy)

Valid Anagram (easy)

Shortest Word Distance (easy)

Number of Good Pairs (easy)

Sqrt (medium)

Pattern: Two Pointers

21 lessons

Introduction to Two Pointers Pattern

Pair with Target Sum (easy)

Find Non-Duplicate Number Instances (easy)

Squaring a Sorted Array (easy)

Triplet Sum to Zero (medium)

Triplet Sum Close to Target (medium)

Triplets with Smaller Sum (medium)

Dutch National Flag Problem (medium)

Problem Challenge 1: Quadruple Sum to Target (medium)

Problem Challenge 2: Comparing Strings containing Backspaces (medium)

Problem Challenge 3: Minimum Window Sort (medium)

Pattern: Fast & Slow Pointers

15 lessons

Introduction to Fast & Slow Pointers Pattern

LinkedList Cycle (easy)

Middle of the LinkedList (easy)

Start of LinkedList Cycle (medium)

Happy Number (medium)

Problem Challenge 1: Palindrome LinkedList (medium)

Problem Challenge 2: Rearrange a LinkedList (medium)

Problem Challenge 3: Cycle in a Circular Array (hard)

Pattern: Sliding Window

25 lessons

Introduction to Sliding Window Pattern

Maximum Sum Subarray of Size K (easy)

Smallest Subarray With a Greater Sum (easy)

Longest Substring with K Distinct Characters (medium)

Fruits into Baskets (medium)

Longest Substring with Same Letters after Replacement (hard)

Longest Subarray with Ones after Replacement (hard)

Problem Challenge 1: Permutation in a String (hard)

Problem Challenge 2: String Anagrams (hard)

Problem Challenge 3: Smallest Window containing Substring (hard)

Problem Challenge 4: Words Concatenation (hard)

Problem Challenge 5: Counting Subarrays with Product Less than a Target (hard)

Problem Challenge 6: Subarrays with Product Less than a Target (hard)

Pattern: Merge Intervals

15 lessons

Introduction to Merge Intervals Pattern

Merge Intervals (medium)

Insert Interval (medium)

Intervals Intersection (medium)

Conflicting Appointments (medium)

Problem Challenge 1: Minimum Meeting Rooms (hard)

Problem Challenge 2: Maximum CPU Load (hard)

Problem Challenge 3: Employee Free Time (hard)

Pattern: Cyclic Sort

17 lessons

Introduction to Cyclic Sort Pattern

Cyclic Sort (easy)

Find the Missing Number (easy)

Find all Missing Numbers (easy)

Find the Duplicate Number (easy)

Find all Duplicate Numbers (easy)

Problem Challenge 1: Find the Corrupt Pair (easy)

Problem Challenge 2: Find the Smallest Missing Positive Number (medium)

Problem Challenge 3: Find the First K Missing Positive Numbers (hard)

Pattern: In-place Reversal of a Linked List

11 lessons

Introduction to In-place Reversal of a Linked List Pattern

Reverse a LinkedList (easy)

Reverse a Sub-list (medium)

Reverse every K-element Sub-list (medium)

Problem Challenge 1: Reverse alternating K-element Sub-list (medium)

Problem Challenge 2: Rotate a LinkedList (medium)

Pattern: Stacks

17 lessons

Introduction to Stack

Implementing Stack Data Structure

Using Built-in Stack in Different Programming Languages

Applications of Stack

Introduction to Stack Pattern

Problem 1: Balanced Parentheses (easy)

Problem 2: Reverse a String (easy)

Problem 3: Decimal to Binary Conversion (medium)

Problem 4: Next Greater Element (easy)

Problem 5: Sorting a Stack (easy)

Problem 6: Simplify Path (medium)

10.

Pattern: Monotonic Stack

15 lessons

Introduction to Monotonic Stack

Remove Nodes From Linked List (easy)

Remove All Adjacent Duplicates In String (easy)

Next Greater Element (easy)

Daily Temperatures (easy)

Remove All Adjacent Duplicates in String II (medium)

Sum of Subarray Minimums (medium)

Remove K Digits (hard)

11.

Pattern: Hash Maps

14 lessons

Introduction to Hash Tables

Hashing, Collisions, Overflow, and Resizing in Hashtables

Using Hashtable in Different Programming Languages

Introduction to Hash Map Pattern

Problem 1: First Non-repeating Character (easy)

Problem 2: Largest Unique Number (easy)

Problem 3: Maximum Number of Balloons (easy)

Problem 4: Longest Palindrome (easy)

Problem 5: Ransom Note (easy)

12.

Pattern: Tree Level Order Traversal

29 lessons

Introduction to Tree Level Order Traversal Pattern

Binary Tree Level Order Traversal (easy)

Reverse Level Order Traversal (easy)

Zigzag Traversal (medium)

Level Averages in a Binary Tree (easy)

Find Largest Value in Each Tree Row (medium)

Maximum Level Sum of a Binary Tree (medium)

Even Odd Tree (medium)

Minimum Depth of a Binary Tree (easy)

Level Order Successor (easy)

Connect Level Order Siblings (medium)

Maximum Width of Binary Tree (medium)

N-ary Tree Level Order Traversal (hard)

Problem Challenge 1: Connect All Level Order Siblings (medium)

Problem Challenge 2: Right View of a Binary Tree (easy)

13.

Pattern: Tree Depth First Search

15 lessons

Introduction to Tree Depth First Search Pattern

Binary Tree Path Sum (easy)

All Paths for a Sum (medium)

Sum of Path Numbers (medium)

Path With Given Sequence (medium)

Count Paths for a Sum (medium)

Problem Challenge 1: Tree Diameter (medium)

Problem Challenge 2: Path with Maximum Sum (hard)

14.

Pattern: Graphs

16 lessons

Introduction to Graph

Types of Graph

Graph Representations

Graph Traversal - Depth First Search(DFS)

Graph Traversal - Breadth First Search (BFS)

Introduction to Graph Pattern

Find if Path Exists in Graph (easy)

Number of Provinces (medium)

Find Eventual Safe States (medium)

Minimum Number of Vertices to Reach All Nodes (medium)

Bus Routes (hard)

15.

Pattern: Island (Matrix Traversal)

15 lessons

Introduction to Island Pattern

Number of Islands (easy)

Biggest Island (easy)

Flood Fill (easy)

Number of Closed Islands (easy)

Problem Challenge 1 (easy)

Problem Challenge 2 (medium)

Problem Challenge 3 (medium)

16.

Pattern: Two Heaps

9 lessons

Introduction to Two Heaps Pattern

Find the Median of a Number Stream (medium)

Sliding Window Median (hard)

Maximize Capital (hard)

Problem Challenge 1: Next Interval (hard)

17.

Pattern: Subsets

19 lessons

Introduction to Subsets Pattern

Subsets (easy)

Subsets With Duplicates (easy)

Permutations (medium)

String Permutations by changing case (medium)

Balanced Parentheses (hard)

Unique Generalized Abbreviations (hard)

Problem Challenge 1: Evaluate Expression (hard)

Problem Challenge 2: Structurally Unique Binary Search Trees (hard)

Problem Challenge 3: Count of Structurally Unique Binary Search Trees (hard)

18.

Pattern: Modified Binary Search

21 lessons

Introduction to Modified Binary Search Pattern

Order-agnostic Binary Search (easy)

Ceiling of a Number (medium)

Next Letter (medium)

Number Range (medium)

Search in a Sorted Infinite Array (medium)

Minimum Difference Element (medium)

Bitonic Array Maximum (easy)

Problem Challenge 1: Search Bitonic Array (medium)

Problem Challenge 2: Search in Rotated Array (medium)

Problem Challenge 3: Rotation Count (medium)

19.

Pattern: Bitwise XOR

9 lessons

Introduction to Bitwise XOR Pattern

Single Number (easy)

Two Single Numbers (medium)

Complement of Base 10 Number (medium)

Problem Challenge 1: Flip and Invert an Image (hard)

20.

Pattern: Top 'K' Elements

29 lessons

Introduction to Top 'K' Elements Pattern

Top 'K' Numbers (easy)

Kth Smallest Number (easy)

'K' Closest Points to the Origin (easy)

Connect Ropes (easy)

Top 'K' Frequent Numbers (medium)

Frequency Sort (medium)

Kth Largest Number in a Stream (medium)

'K' Closest Numbers (medium)

Maximum Distinct Elements (medium)

Sum of Elements (medium)

Rearrange String (hard)

Problem Challenge 1: Rearrange String K Distance Apart (hard)

Problem Challenge 2: Scheduling Tasks (hard)

Problem Challenge 3: Frequency Stack (hard)

21.

Pattern: K-way Merge

11 lessons

Introduction to K-way Merge Pattern

Merge K Sorted Lists (medium)

Kth Smallest Number in M Sorted Lists (medium)

Kth Smallest Number in a Sorted Matrix (hard)

Smallest Number Range (hard)

Problem Challenge 1: K Pairs with Largest Sums (hard)

22.

Pattern: Greedy Algorithms

13 lessons

Introduction to Greedy Algorithm

Valid Palindrome II (easy)

Maximum Length of Pair Chain (medium)

Minimum Add to Make Parentheses Valid (medium)

Remove Duplicate Letters (medium)

Largest Palindromic Number (medium)

Removing Minimum and Maximum From Array (medium)

23.

Pattern: 0/1 Knapsack (Dynamic Programming)

14 lessons

What is Dynamic Programming?

Introduction to 0/1 Knapsack Pattern

0/1 Knapsack (medium)

Equal Subset Sum Partition (medium)

Subset Sum (medium)

Minimum Subset Sum Difference (hard)

Problem Challenge 1: Count of Subset Sum (hard)

Problem Challenge 2: Target Sum (hard)

24.

Fibonacci Numbers (Dynamic Programming)

New

13 lessons

Introduction to Fibonacci Numbers Pattern

Fibonacci numbers

Staircase

Number factors

Minimum jumps to reach the end

Minimum jumps with fee

House thief

25.

Palindromic Subsequence (Dynamic Programming)

New

11 lessons

Introduction to Palindromic Subsequence Pattern

Longest Palindromic Subsequence

Longest Palindromic Substring

Count of Palindromic Substrings

Minimum Deletions in a String to make it a Palindrome

Palindromic Partitioning

26.

Pattern: Backtracking

11 lessons

Introduction to Backtracking Pattern

Combination Sum (medium)

Word Search (medium)

Factor Combinations (medium)

Split a String Into the Max Number of Unique Substrings (medium)

Sudoku Solver (hard)

27.

Pattern: Trie

12 lessons

Introduction to Trie

Introduction to Trie Pattern

Implement Trie (Prefix Tree) (medium)

Index Pairs of a String (easy)

Design Add and Search Words Data Structure (medium)

Extra Characters in a String (medium)

Search Suggestions System (medium)

28.

Pattern: Topological Sort (Graph)

15 lessons

Introduction to Topological Sort

Topological Sort (medium)

Tasks Scheduling (medium)

Tasks Scheduling Order (medium)

All Tasks Scheduling Orders (hard)

Alien Dictionary (hard)

Problem Challenge 1: Reconstructing a Sequence (hard)

Problem Challenge 2: Minimum Height Trees (hard)

29.

Pattern: Union Find

New

9 lessons

Introduction to Union Find Pattern

Redundant Connection (medium)

Number of Provinces (medium)

Is Graph Bipartite? (medium)

Path With Minimum Effort (medium)

30.

Pattern: Ordered Set

New

9 lessons

Introduction to Ordered Set Pattern

Merge Similar Items (easy)

132 Pattern (medium)

My Calendar I (medium)

Longest Continuous Subarray (medium)

31.

Pattern: Prefix Sum

New

15 lessons

Introduction Prefix Sum Pattern

Find the Middle Index in Array (easy)

Left and Right Sum Differences (easy)

Maximum Size Subarray Sum Equals k (medium)

Binary Subarrays With Sum (medium)

Subarray Sums Divisible by K (medium)

Sum of Absolute Differences in a Sorted Array (medium)

Subarray Sum Equals K (medium)

32.

Pattern: Multi-threaded

New

7 lessons

Introduction to Multi-threaded Pattern

Same Tree (medium)

Invert Binary Tree (medium)

Binary Search Tree Iterator (medium)

33.

Counting Pattern (easy)

13 lessons

Introduction to Counting Pattern

Count Elements With Maximum Frequency (easy)

Maximum Population Year (easy)

Hidden Document

34.

Monotonic Queue Pattern (easy)

11 lessons

Introduction to Monotonic Queue Pattern

Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit (medium)

Minimum Number of Coins for Fruits (medium)

Hidden Document

35.

Simulation Pattern (easy)

13 lessons

Introduction to Simulation Pattern

Array Transformation (easy)

Water Bottles (easy)

Hidden Document

36.

Linear Sorting Algorithm Pattern (easy)

16 lessons

Introduction to Linear Sorting Algorithms

Counting Sort Algorithm

Radix Sort Algorithm

Bucket Sort Algorithm

Relative Sort Array (easy)

Height Checker (easy)

Hidden Document

37.

Meet in the Middle Pattern (medium)

New

11 lessons

Introduction to Meet in the Middle

Subset Sum Equal to Target (medium)

Subsets having Sum between A and B (hard)

Hidden Document

38.

MO’s Algorithm Pattern (medium)

New

9 lessons

Introduction to MO’s Algorithm Pattern

XOR Queries of a Subarray (medium)

Hidden Document

39.

Serialize and Deserialize Pattern (medium)

New

11 lessons

Introduction to Serialize and Deserialize Pattern

Encode and Decode Strings (medium)

Hidden Document

Serialize and Deserialize N-ary Tree (hard)

Hidden Document

40.

Clone Pattern (medium)

New

9 lessons

Introduction to Clone Pattern

Copy List with Random Pointer (medium)

Hidden Document

Clone N-ary Tree (hard)

Hidden Document

41.

Articulation Points and Bridges Pattern (hard)

New

9 lessons

Introduction to Articulation Points and Bridges Pattern

Minimum Number of Days to Disconnect Island (hard)

Hidden Document

42.

Segment Tree Pattern (hard)

New

10 lessons

Introduction to Segment Tree Pattern

Operations on Segment Tree

Range Minimum Query (easy)

Hidden Document

43.

Binary Indexed Tree Pattern (hard)

New

14 lessons

Introduction to Binary Indexed Tree Pattern

Implementation of Binary Indexed Tree

Number of Longest Increasing Subsequence (medium)

Maximum Profitable Triplets With Increasing Prices I (medium)

Hidden Document

44.

Miscellaneous

2 lessons

Kth Smallest Number (hard)

45.

Revision

1 lesson

Coding Patterns: A Cheat Sheet

46.

Test Your Knowledge (Easy)

13 lessons

Introduction

Two Sum (easy)

Valid Perfect Square (easy)

Best Time to Buy and Sell (easy)

Valid Parentheses (easy)

Subtree of Another Tree (easy)

Design Parking System (easy)

47.

Test Your Knowledge (Medium)

52 lessons

Daily Temperatures (medium)

Group Anagrams (medium)

Decode String (medium)

Valid Sudoku (medium)

Product of Array Except Self (medium)

Maximum Product Subarray (medium)

Container With Most Water (medium)

Palindromic Substrings (medium)

Remove Nth Node From End of List (medium)

Find Minimum in Rotated Sorted Array (medium)

Pacific Atlantic Water Flow (medium)

Validate Binary Search Tree (medium)

Construct Binary Tree from Preorder and Inorder Traversal (medium)

Clone Graph (medium)

House Robber II (medium)

Decode Ways (medium)

Unique Paths (medium)

Word Break (medium)

Lowest Common Ancestor of a Binary Search Tree (medium)

Longest Consecutive Sequence (medium)

Meeting Rooms II (medium)

Encode and Decode Strings (medium)

Number of Connected Components in an Undirected Graph (medium)

Graph Valid Tree (medium)

Implement Trie (Prefix Tree) (medium)

Design Add and Search Words Data Structure (medium)

48.

Test Your Knowledge (Hard)

4 lessons

Longest Valid Parentheses (hard)

Serialize and Deserialize Binary Tree (hard)

49.

Conclusions

1 lesson

Where to Go from Here

What people say about our courses

Ashley Pean

Software Engineer

Check out Grokking the Coding Interview. Instead of trying out random Algos, they break down the patterns you need to solve them. Helps immensely with retention!

Simon Barker

Software Engineer

This is what I love about http://designgurus.io’s Grokking the coding interview course. They teach patterns rather than solutions.

Roger Cruz

Software Engineer

The world gets better inch by inch when you help someone else. If you haven't tried Grokking The Coding Interview, check it out, it's a great resource!

pikacodes

Software Engineer

I've tried every possible resource (Blind 75, Neetcode, YouTube, Cracking the Coding Interview, Udemy) and idk if it was just the right time or everything finally clicked but everything's been so easy to grasp recently with Grokking the Coding Interview!

Matzuk

Software Engineer

Algorithms can be daunting, but they're less so with the right guide. This course - https://www.designgurus.io/course/grokking-the-coding-interview, is a great starting point. It covers typical problems you might encounter in interviews.

Tonya Sims

Software Engineer

DesignGurus.io "Grokking the Coding Interview". One of the best resources I’ve found for learning the major patterns behind solving coding problems.

MO JAFRI

Software Engineer

The courses which have "grokking" before them, are exceptionally well put together! These courses magically condense 3 years of CS in short bite-size courses and lectures (I have tried Grokking System Design Interview, OODI, and Coding patterns). The Grokking courses are godsent, to be honest.

ABHISHEK GUPTA

Software Engineer

My offer from the top tech company would not have been possible without Grokking System Design. Many thanks!!

KAUSHIK JONNADULA

Software Engineer

Thanks for a great resource! You guys are a lifesaver. I struggled a lot in design interviews, and Grokking System Design gave me an organized process to handle a design problem. Please keep adding more questions.

About the Author

Arslan Ahmad

Design Gurus Founder

Ex-FAANG Manager

Industry Expertise & Leadership

Arslan Ahmad is the lead author of Grokking the Coding Interview: Patterns for Coding Questions. As the founder of Design Gurus and a former FAANG hiring manager, he has worked at industry giants like Facebook (now Meta) and Microsoft.

He has conducted hundreds of system design interviews, giving him unique insight into what top tech companies look for in candidates.

The course also incorporates expertise from senior engineers at Google, Meta, Amazon, Microsoft, and Uber, ensuring you learn system design best practices from professionals who have built and scaled real-world systems.

500+

Interviews Conducted

10k+

Students Taught

Grokking Dynamic Programming Patterns for Coding Interviews in Python, Java, JavaScript, and C++. A complete guide to grokking dynamic programming.

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FAQs

What is Grokking the Coding Interview and who is it for?

Grokking the Coding Interview: Patterns for Coding Questions is an online course that teaches you how to solve coding interview problems using reusable patterns, instead of memorizing hundreds of individual questions. It's the original coding patterns course and it's rated 4.6 out of 5 by more than 62,000 learners. Whether you're a new grad facing your first coding round or a senior engineer brushing up before interviews, it gives you a clear, structured way to prepare so you can walk in confident.

What are coding patterns, and why does Grokking teach them?

Coding patterns are reusable problem-solving templates like Two Pointers, Sliding Window, Merge Intervals, and Topological Sort, and each one unlocks a whole family of interview questions. Instead of grinding through hundreds of unrelated problems, Grokking the Coding Interview organizes more than 300 problems around these patterns, so you learn the underlying approach once and start recognizing it everywhere. Once you can see the pattern behind a question, even unfamiliar problems feel approachable.

Who created Grokking the Coding Interview, and what are their credentials?

Grokking the Coding Interview was created by the team at Design Gurus, led by Arslan Ahmad, an ex-FAANG engineer and former hiring manager at Meta and Microsoft. Having sat on both sides of the interview table, he built the course around what interviewers actually look for. The pattern-based approach it introduced has since been used by hundreds of thousands of engineers preparing for coding interviews.

Is Grokking the Coding Interview suitable for beginners?

Yes, if you already know the basics. Every pattern is taught from the ground up, so you need no prior interview practice at all. The course starts with easy problems and builds toward harder ones gradually. What you do need first is a working knowledge of common data structures. That means arrays, linked lists, hash maps, stacks, queues, heaps, and graphs, plus Big-O notation and recursion. If any of those are new to you, start with Grokking Data Structures & Algorithms for Coding Interviews and come back.

How is Grokking the Coding Interview different from LeetCode?

LeetCode is a huge bank of problems you practice on your own, while Grokking the Coding Interview is a structured course that teaches you the patterns behind those problems. Rather than solving questions at random and hoping something sticks, you learn a focused set of coding patterns backed by more than 300 hand-picked problems. The result is that you start seeing the strategy behind a question instead of memorizing one-off solutions.

How many problems does Grokking the Coding Interview include, and how is it structured?

Grokking the Coding Interview includes more than 300 hand-picked coding problems, organized into pattern-based chapters that move from easy to hard. Each chapter centers on a single pattern and works through the problems that reinforce it, so you build real depth in one pattern before moving on to the next. By the end you've covered a wide range of patterns with plenty of practice in each.

Does Grokking the Coding Interview provide a certificate of completion?

Yes, Design Gurus gives you a certificate of completion once you finish all the modules, and you can add it to your LinkedIn profile or share it with employers.

Is Grokking the Coding Interview free?

You can start Grokking the Coding Interview for free on DesignGurus.io. The free tier lets you explore the introductory lessons and get a feel for how the course is structured before you commit. For full access to all the problems and their solutions, you can either buy lifetime access to this course or take an annual subscription that unlocks every Design Gurus course, and discounted regional pricing is available.

Which programming languages does Grokking the Coding Interview support?

Grokking the Coding Interview gives you solutions in Python, Java, C++, JavaScript, Go, and C#, so you can learn and practice in whatever language you'll actually use in your interview.

Is Grokking the Coding Interview the same on Educative and Design Gurus?

No, they're two different courses today. The official, continuously updated Grokking the Coding Interview lives only on DesignGurus.io, built and maintained by the original creators. An earlier text-only version was once hosted on the third-party platform Educative, but that edition is no longer maintained by the original authors, so for the authentic, up-to-date course, DesignGurus.io is the only place to find it.

Will Grokking the Coding Interview help me prepare for FAANG coding interviews?

Grokking the Coding Interview is built to prepare you for the coding round used at FAANG and other top tech companies, because it teaches the patterns behind the questions those interviews rely on. You'll practice exactly what interviewers evaluate: spotting the right pattern, writing a correct solution, and reasoning about time and space complexity. That mix is what helps you stay calm and structured when a tough problem shows up.