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The 90 DSA Patterns That Cover 99% Coding Interviews


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You might have solved over 200 LeetCode questions, yet your confidence drops the moment the interview starts.

The truth is, interviewers rarely invent new problems; they adapt known logical structures.

These organizations rely on pattern-based questions to assess how fast you adapt familiar logic to new contexts.

By learning 90 carefully chosen DSA patterns, you’ll unlock solutions to 99% of interview problems instantly.

What You’ll Learn


You’ll explore 15 foundational categories containing 90 powerful coding patterns.

You’ll also discover how to practice these patterns interactively with AI feedback using Thita.ai.

Why Random LeetCode Grinding Doesn’t Work


Without pattern-based learning, random LeetCode practice fails to build adaptability.

Once recognized, a pattern turns complex problems into familiar exercises.

Example mappings include:
– Sorted Array + Target Sum ? Two Pointers (Converging)
– Longest Substring Without Repeats ? Sliding Window (Variable Size)
– Cycle in Linked List ? Fast & Slow Pointers.

Elite developers rely on pattern familiarity, not brute-force memorization.



The 15 Core DSA Pattern Families


These pattern families cover the foundational structures behind most coding interview challenges.

1. Two Pointer Patterns (7 Patterns)


Applied in problems where two indices move strategically across data structures.

Key Patterns: Converging pointers, Fast & Slow pointers, Fixed separation, In-place modification, Expand from center, String reversal, and Backspace comparison.

? Pro Tip: Check if the data is sorted or relationships exist between index pairs.

2. Sliding Window Patterns (4 Patterns)


Use Case: Optimize subarray or substring challenges dynamically.

Key Patterns: Fixed-size window, Variable-size window, Monotonic queue, Character frequency matching.

? Hint: Balance expansion and contraction logic to optimize results.

3. Tree Traversal Patterns (7 Patterns)


Used for recursive and iterative traversals across hierarchical structures.

4. Graph Traversal Patterns (8 Patterns)


Applied in DFS, BFS, shortest paths, and union-find logic.

5. Dynamic Programming Patterns (11 Patterns)


Covers problems like Knapsack, LIS, Edit Distance, and Interval DP.

6. Heap (Priority Queue) Patterns (4 Patterns)


Use Case: Ranking, median finding, and scheduling challenges.

7. Backtracking Patterns (7 Patterns)


Use Case: Recursive search and exhaustive solution exploration.

8. Greedy Patterns (6 Patterns)


Use Case: Achieving global optima through local choices.

9. Binary Search Patterns (5 Patterns)


Core to logarithmic time optimizations.

10. Stack Patterns (6 Patterns)


Great for parentheses matching, evaluation, and next greater element logic.

11. Bit Manipulation Patterns (5 Patterns)


Used for detecting duplicates, toggling bits, and subset enumeration.

12. Linked List Patterns (5 Patterns)


Includes reversal, merging, and cycle detection problems.

13. Array & Matrix Patterns (8 Patterns)


Covers spiral traversals, rotations, and prefix/suffix computations.

14. String Manipulation Patterns (7 Patterns)


Use Case: Parsing, validation, and frequency analysis in strings.

15. Design Patterns (Meta Category)


Represents higher-order algorithmic design and data structure construction.

How to Practice Effectively on Thita.ai


Knowledge without practice falls short — Thita.ai helps bridge that gap with interactive learning.

Start) by reviewing the official 90 DSA pattern sheet on Thita.ai.

Next, select any pattern and explore associated real-world problems.

Step 3: Solve with AI Coaching ? Receive real-time hints, feedback, and explanations.

Get personalized progress tracking and adaptive recommendations.

The Smart Way to Prepare


Stop random practice; focus on mastering logic templates instead.

Use Thita.ai’s roadmap to learn, practice, and refine through intelligent feedback.

Why Choose Thita.ai?


Thita.ai empowers learners to:

– Master 90 reusable DSA Product Management roadmap patterns
– Practice interactively with AI feedback
– Experience realistic mock interviews
– Prepare for FAANG and top-tier interviews
– Build a personalized, AI-guided learning path.

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