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Day 04 Advanced Topics

Coding Under Pressure: Speed, Communication, and Debugging

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.

~1 hour Hands-on Precision AI Academy

Today’s Objective

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.

Interview Simulation Prompt
INTERVIEW SIMULATION PROMPT
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.

The 5-Minute Problem Breakdown Before Coding

Before writing a single line of code, spend 5 minutes on:

  1. Restate the problem in your own words
  2. Identify edge cases — empty input, single element, all duplicates, negative numbers
  3. Write test cases — at least 2-3, including edge cases
  4. State your approach — "I'm thinking two pointers because..."
  5. Ask about constraints — can I use extra space? Is the input sorted?
The 5-minute investment: Spending 5 minutes planning before coding saves 15 minutes of debugging. Most candidates who fail coding interviews do so because they code the wrong approach. Talking first forces you to validate the approach before committing to it.

Live Debugging with AI

Debugging Practice Prompt
DEBUGGING PRACTICE PROMPT
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)
Day 4 ExerciseTimed Interview Simulation
  1. Set a 30-minute timer and run the interview simulation prompt.
  2. Before coding: restate the problem, write test cases, explain your approach out loud.
  3. Code the solution while continuing to talk through your thinking.
  4. After the session: read the interviewer feedback. What surprised you?
  5. Repeat tomorrow with a different topic. Do 10 simulations total before your real interview.
Next →
Day 5: Mock Interviews
→

Supporting Resources

Go deeper with these references.

LeetCode
LeetCode Problem Set The primary platform for algorithm interview practice with company-specific lists.
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GitHub
Tech Interview Handbook Curated guide to the technical interview process with tips for every phase.
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NeetCode
NeetCode 150 Roadmap Structured 150-problem curriculum organized by pattern for systematic preparation.
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Day 4 Checkpoint

Before moving on, make sure you can answer these without looking:

Continue To Day 5
Mock Interview Simulation: Full Practice with Detailed Feedback
→