- Software Engineering Interview Prep Introduction
- The Software Engineering Interview Process
- Interviews By Level
- Coding Interviews
- Coding Interviews Overview
- Big O – Time and Space Complexity
- Dynamic Programming
- Dynamic Programming (DP)
- DP on Arrays
- DP on Strings
- DP on Grids
- DP on Trees
- DP Knapsack Problem
- Greedy Approach
- Longest Increasing Subsequence - Challenge
- Coin Change - Challenge
- Edit Distance - Challenge
- House Robber - Challenge
- House Robber III - Challenge
- Jump Game - Challenge
- 0/1 Knapsack - Challenge
- Unique Paths - Challenge
- Math
- System Design Interviews
- System Design Interview Resource
- How to Approach System Design Interviews
- Consistency, Availability, Partition Tolerance
- What’s: Load Balancer
- What’s: Consistent Hashing
- What’s: Proxy
- What’s: Indexes
- What’s: Caching
- What’s: Partitioning
- What’s: Distributed Queue
- Client Server Communications
- What’s: Redundancy and Replication
- What’s: SQL and NoSQL
- Real-time Communication
- Building Search System
- Building Chat App
- Building Video Sharing Platform
- Building a Newsfeed
- Building Pinterest
- Building a Text Sharing Platform
- Building a URL Shortening Service
- How to Fill Your Interview Pipeline
Software Engineering Interview Prep
Land software engineering roles at top tech companies like Google, Amazon, Microsoft, Meta, Apple, and more. This guide breaks down exactly what it takes to get into companies with sub-1% acceptance rates—and stay competitive at the cutting edge of the industry.
Most candidates prepare the wrong way for interviews. Learn from someone who's been through the process and succeeded. You'll get a clear, no-nonsense breakdown of what actually matters, what to prioritize, and what's a complete waste of time
"Provided everything I needed to land an amazing offer. I increased my total compensation by 30%. Thank you!"
— Henry
