Knowing algorithms is necessary but not sufficient. You must code correctly under time pressure while explaining your thinking out loud. Day 4 practices both skills.
Interviewers are evaluating your thinking process, not just your code. A candidate who writes a perfect solution silently scores lower than one who talks through their approach, identifies edge cases, and explains their reasoning. If you are silent, you are invisible.
Simulate a coding interview. Give me a problem and
play the role of a Google/Meta/Amazon interviewer.
Level: [Entry / Mid / Senior]
Topic: [arrays / trees / dynamic programming / etc.]
Ground rules:
- I will think out loud and explain my approach before coding
- You will respond as an interviewer would: nod, probe, or hint
- After 25 minutes, stop me and give feedback on:
1. Did I communicate well?
2. Did I handle edge cases?
3. Was my approach optimal?
4. What would I score on your rubric? (1-4 scale)
Start by giving me the problem statement.Before writing a single line of code, spend 5 minutes on:
My code is not passing this test case:
Problem: [describe]
Test case: [input] → expected [output], got [actual]
My code:
[PASTE YOUR CODE]
Walk me through debugging this as a pair:
1. What is my code actually doing on this input?
2. At what line does it diverge from expected?
3. Ask me questions to help me find the bug myself
(don't just tell me the fix)