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Technical Interview Guide

How to Pass a Technical Interview

The complete guide to every type of technical interview: coding, system design, take-home, and pair programming. Know what to expect and how to ace it.

4 Types of Technical Interviews

Most Common

DSA / Coding Interview

You solve 1-2 algorithm and data structure problems in 45-60 minutes. Used by Google, Amazon, Meta, Apple, and most top tech companies.

Google, Amazon, Meta, Apple, Microsoft
Senior Roles

System Design Interview

You design a large-scale distributed system from scratch. Tests your ability to think about scalability, reliability, and trade-offs.

All FAANG companies for L5+
Startups

Take-Home Project

Build a small project over 3-7 days and submit it for review. Common at startups and mid-size companies.

Startups, Series A-C companies
Growing

Pair Programming

You code alongside a company engineer on a real or simulated problem. Tests collaboration, communication, and coding style.

Stripe, Shopify, Thoughtworks

6 DSA Patterns You Must Know

80% of coding interview questions follow one of these six patterns. Master them and you can solve most problems you'll encounter.

Two Pointers

Use two indices moving through a data structure. Often replaces O(n²) brute force with O(n).

Two Sum, Container With Most Water, Trapping Rain Water
Sliding Window

Maintain a window of elements as you move through an array or string. Great for substring and subarray problems.

Longest Substring Without Repeating Characters, Maximum Sum Subarray
BFS / DFS

Breadth-first and depth-first search for trees and graphs. BFS for shortest paths, DFS for connectivity and cycles.

Number of Islands, Word Ladder, Clone Graph
Binary Search

Divide and conquer on sorted data. O(log n) time. Goes beyond simple search — applies to rotated arrays, search spaces.

Search in Rotated Array, Find Minimum in Rotated Array, Koko Eating Bananas
Dynamic Programming

Break problems into subproblems and cache results. Optimal for optimization and counting problems.

Fibonacci, Coin Change, Longest Common Subsequence
Heap / Priority Queue

Efficiently find min/max elements. Use for top-K problems, merge sorted lists, and scheduling.

K Largest Elements, Merge K Sorted Lists, Top K Frequent Elements

The 5-Step Live Coding Approach

Follow this in every live coding interview. It demonstrates structured thinking, which is what interviewers actually evaluate.

01

Clarify the Problem

Ask 2-3 clarifying questions before writing any code. Confirm input format, edge cases, and constraints. Shows you think before you act.

02

Think Out Loud

Narrate your thought process. Say what approaches you're considering and why. Interviewers grade your thinking, not just your output.

03

Start with Brute Force

Propose a brute force solution first and state its time complexity. Then ask if you should optimize. Shows you can solve the problem first.

04

Optimize with a Pattern

Identify which pattern applies: sliding window, two pointers, BFS/DFS, etc. Explain why this optimization works.

05

Test with Examples

Walk through 2-3 test cases manually after writing your solution. Include an edge case. Fix bugs out loud.

5 Mistakes That Kill Your Chances

X

Jumping Straight to Code

The biggest mistake. Interviewers want to see how you think. Spend 5 minutes clarifying and planning before writing a single line.

X

Staying Silent

Silent coding is unreadable to interviewers. They can't help you if they don't know where you're stuck. Narrate everything.

X

Ignoring Edge Cases

Empty arrays, null inputs, integer overflow. Mention edge cases even if you don't handle them all. It shows thoroughness.

X

Not Knowing Big-O

You will be asked about time and space complexity for every solution. Practice calculating and explaining Big-O until it's automatic.

X

Giving Up Under Pressure

If you're stuck, say so and ask for a hint. Most interviewers will give you one. Getting unstuck gracefully is better than freezing.

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