Why Good Coders Fail Coding Interviews (Even With DSA Knowledge) скачать в хорошем качестве

Why Good Coders Fail Coding Interviews (Even With DSA Knowledge)

Most coding interviews are not failed because of lack of knowledge. They’re failed because of how you think under pressure. In this video, I’ll show you five very common mistakes that good coders make in interviews — And I am not talking about beginners — I am talking about good coders. These are mistakes where: Your solution is correct Your code passes sample tests And yet… the interviewer says “Let’s move on.” We’ll look at real interview-style code examples, subtle edge cases, and the thinking traps that quietly eliminate strong candidates. If you’ve ever thought: “I knew this problem” “My logic was right” “I’ve solved harder questions before” 👉 This video is for you. Watch till the end — the last section explains what interviewers are actually testing, and how to align your thinking with it. ⏱ TIMESTAMPS 00:00 – Welcome & Reality Check Why good coders still fail interviews 00:40 – The Interview Myth “Knowing DSA ≠ Clearing Interviews” 00:56 – Mistake #1: Choosing the Wrong Approach (BFS vs DFS) Why a correct solution still gets rejected 22:41 – Mistake #2: Missing the Base Case (Recursion Trap) The infinite-call problem interviewers love 28:00 – Mistake #3: Passing Sample Tests Means Nothing Hidden cases that expose shallow thinking 33:25 – Mistake #4: Integer Overflow (The Silent Killer) When correct logic gives wrong answers 37:47 – Mistake #5: Parallel ≠ Faster (Performance Assumptions) Why “optimization” backfires in interviews 55:12 – What Interviewers Are Actually Testing Signals they look for beyond code 55:50 – Final Advice + Call to Action To understand the binary search better, please follow this video 👉 Binary Search Pattern – From Brute to Best:    • Binary Search Pattern – From Brute to Best   #CodingInterviews #DSA #SoftwareEngineer #InterviewPreparation #ProgrammingMistakes #LeetCode #TechCareers #ProblemSolving #MindAndMachine