codeintuition.io

@codeintuitionio

Learn difficult topics in computer science easily by building intuition

codeintuition.io

Joined March 2022

codeintuition.io
@codeintuitionio
May 12
A subtle prep mistake: Optimizing for "FAANG" instead of optimizing for the company you're actually interviewing with. Pattern distributions differ more than most candidates expect.
Prakhar Srivastava
@prakhar_srv
May 12
One FAANG prep mistake: Treating every company like they test the same thing. They don't. Amazon tends to test much broader pattern coverage. Google leans harder into binary search variants. Meta clusters tighter around common patterns. "FAANG prep" isn't one thing. #faang
codeintuition.io
@codeintuitionio
May 11
An Amazon Bar Raiser interview mistake: Treating followup questions like a completely new problem. Strong candidates adapt the existing reasoning instead of restarting. #LeetCode #Amazon
Prakhar Srivastava
@prakhar_srv
May 11
Most people prepare for the wrong part of Amazon coding interviews. The first solution usually isn't the hard part. The hard part starts after you've solved it. When the interviewer says: "Ok… now let's change one constraint."
codeintuition.io
@codeintuitionio
May 10
This misunderstanding comes up surprisingly often during interview prep. The hidden qualifier matters more than the Big-O table itself.
Prakhar Srivastava
@prakhar_srv
May 10
One of the biggest DSA misconceptions: "Linked lists are good for insertion." Only half true. Linked list insertion is O(1) if you already have the pointer. Most interview problems? You don't. So first you traverse. Now it's O(n).
codeintuition.io
@codeintuitionio
May 9
Most people measure interview readiness with feelings: "I think I'm close." A better signal: Can you solve unfamiliar problems under interview conditions?
Prakhar Srivastava
@prakhar_srv
May 9
You've solved 250 LeetCode mediums. Some take 12 minutes. Then one unfamiliar medium shows up and you freeze for 40. And suddenly: "Am I even ready for FAANG?" Here's the mistake most people make:
codeintuition.io
@codeintuitionio
May 7
Most candidates don't struggle because they haven't solved enough problems. They struggle because they haven't trained pattern recognition under interview conditions.
Prakhar Srivastava
@prakhar_srv
May 7
You've solved 200 LeetCode problems. Then a medium shows up in an interview and you still freeze on: "What kind of problem even is this?" At some point, the bottleneck stops being solving more problems. The bottleneck becomes pattern recognition.