System design interviews No Further a Mystery, the Revealed Answer

The Comprehensive Set of 90 DSA Patterns That Cover Almost All Coding Interviews


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Many candidates solve 200+ LeetCode challenges but still blank out during actual technical rounds.

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

Major companies prefer problem templates that measure reasoning, not rote memory.

Master these 90 essential DSA patterns, and you’ll instantly recognize nearly every coding problem you encounter.

What You’ll Learn


The guide maps all 90 DSA patterns into 15 logical families — the same framework elite engineers use to master FAANG interviews.

Learn how to train smarter through real-time AI-assisted exercises on 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.

Success in interviews comes from recognizing underlying DSA themes, not recalling exact problems.



The 15 Core DSA Pattern Families


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

1. Two Pointer Patterns (7 Patterns)


Ideal for array manipulation and pointer-based optimization problems.

Includes logic for in-place edits, fixed gaps, and center-based expansion techniques.

? Hint: Look for sorted input or pairwise relationships between indices.

2. Sliding Window Patterns (4 Patterns)


Used to handle range-based optimizations in arrays and strings.

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

? Tip: Efficiency lies in the ability to manage window size dynamically.

3. Tree Traversal Patterns (7 Patterns)


Applicable in computing paths, depths, and relationships within trees.

4. Graph Traversal Patterns (8 Patterns)


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

5. Dynamic Programming Patterns (11 Patterns)


Use Case: Optimization with overlapping subproblems and state transitions.

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


Used for stream processing and efficient order maintenance.

7. Backtracking Patterns (7 Patterns)


Use Case: Recursive search and exhaustive solution exploration.

8. Greedy Patterns (6 Patterns)


Great for problems solvable with stepwise optimization.

9. Binary Search Patterns (5 Patterns)


Use Case: Efficient searching over sorted data or answer ranges.

10. Stack Patterns (6 Patterns)


Enables structured data management through stack logic.

11. Bit Manipulation Patterns (5 Patterns)


Applied in optimization and binary arithmetic problems.

12. Linked List Patterns (5 Patterns)


Focuses on optimizing node traversal and transformation. AI resume analyzer

13. Array & Matrix Patterns (8 Patterns)


Use Case: Handling multidimensional data, rotations, and prefix operations.

14. String Manipulation Patterns (7 Patterns)


Includes palindrome checking, encoding/decoding, and pattern validation.

15. Design Patterns (Meta Category)


Represents higher-order algorithmic design and data structure construction.

How to Practice Effectively on Thita.ai


Understanding these 90 templates is the first step; applying them strategically ensures interview success.

Begin by opening the full Thita.ai DSA pattern catalog.

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

Solve questions while the AI gives contextual hints, code feedback, and performance tips.

Track your improvement and focus on weak areas using detailed reports.

The Smart Way to Prepare


Success in coding interviews is built on pattern familiarity, not repetition.

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

Why Choose Thita.ai?


On Thita.ai, you’ll:
– Learn efficiently using pattern recognition
– Get intelligent problem-solving assistance
– Access mock environments for FAANG-style practice
– Refine strategies through AI-curated guidance
– Build confidence and precision for real interviews.

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