What should you do first in a coding interview?

Before writing any code: ask clarifying questions (input size, data types, edge cases like empty input), state your initial approach out loud, get sign-off from the interviewer that you understand the problem correctly, and confirm the expected time/space complexity. Jumping straight into code without this context is one of the most common mistakes.

How long do coding interview rounds last?

Standard coding rounds at FAANG are 45-60 minutes. In that time you typically solve 1-2 problems. A 60-minute round usually includes: 5 minutes of introductions, 35-40 minutes of problem solving, and 5-10 minutes of candidate questions. Some companies (Google, Meta) prefer one medium-hard problem over two easy problems.

How do you communicate your thinking in a coding interview?

Think out loud throughout. When you are considering an approach, say it. When you write a loop, say what it does. When you discover a bug, say you see it before silently fixing it. Interviewers want to follow your reasoning, not just see the output. Silent coding even with correct solutions often scores lower than vocal coding with minor bugs.

What do interviewers look for in coding interviews?

Beyond correctness: clear problem decomposition, communication of approach before coding, correct complexity analysis, proactive edge case identification, clean code structure (meaningful variable names, no deeply nested conditionals), and how you handle hints or corrections. A clean solution with good communication beats a brilliant solution coded silently.

Coding Round Guide 2026

How to perform consistently in live coding rounds: the communication framework, problem-solving protocol, what interviewers actually score, and the most common ways strong candidates fail.

Quick Answer

In coding interviews, always clarify the problem before writing code, state your approach and get confirmation, then code while thinking out loud. Standard rounds are 45-60 minutes for 1-2 problems. Interviewers evaluate: communication, problem decomposition, complexity analysis, edge case handling, and code cleanliness, not just whether the code runs.

What Interviewers Actually Score

Most FAANG companies use a structured scoring rubric with 4-5 dimensions. The specific labels vary, but they cover: problem solving (did you find a correct approach?), code quality (is the code clean and readable?), communication (did you think out loud?), optimization (did you discuss complexity and improve your solution?), and testing (did you verify edge cases?).

The insight most candidates miss: communication and testing are worth as much as correctness in this rubric. A clean, narrated solution to a medium problem scores higher than a silent optimal solution. Practice talking while coding, not after.

The Problem-Solving Protocol

Follow this sequence for every coding problem in a live round:

1. Clarify requirements

Ask about input constraints, edge cases, and expected output format. 1-2 minutes. Never skip this.

2. State your approach

Explain your approach out loud before writing any code. Confirm with the interviewer that it is the right direction.

3. Start with brute force

If the optimal solution is not obvious, state the brute-force approach and its complexity, then say you will optimize.

4. Code with narration

Write code while explaining each step. Do not code in silence for more than 15-20 seconds.

5. Test with examples

After coding, walk through 1-2 examples manually. Include an edge case (empty input, single element, etc.)

6. Discuss optimization

If time allows, discuss how you could optimize further and what the tradeoffs would be.

Communicating While Coding

The hardest skill to develop is narrating while coding. Most people either code silently or stop coding to talk. The goal is doing both simultaneously. This requires practice, not just knowing it is important.

Practical exercises: solve LeetCode problems out loud on video. Record yourself. The recording reveals how much dead silence exists. Aim for no silent gaps longer than 10-15 seconds. If you are stuck and thinking, say "I'm thinking about whether a hashmap would help here" rather than going silent.

Common Ways Strong Candidates Fail

The most common failure modes in coding rounds based on interviewer feedback:

▸Jumping to code before clarifying requirements, then realizing midway that the problem is different than assumed.
▸Coding silently for the first 10 minutes, leaving the interviewer with nothing to score on communication.
▸Getting stuck and freezing instead of asking for a hint. Asking for help is not a penalty, staying silent and stuck is.
▸Not testing the solution. Interviewers explicitly score whether you verify your code works.
▸Rushing to an optimal solution and producing buggy code. A correct O(n^2) beats an incorrect O(n log n).

What to Practice

Volume of problems matters less than quality of practice. 50 problems solved with full narration, edge case testing, and complexity analysis beat 300 problems solved silently. Focus on: arrays/hashmaps (most common), trees/graphs (second most common), dynamic programming (high-signal when solved correctly), and binary search (appears in many non-obvious forms).

Track your problem pattern recognition, not just your solve rate. After each problem ask: what pattern was this? (two pointer, sliding window, BFS, memoized recursion, etc.) Recognizing the pattern in the first 2-3 minutes saves enough time to attempt a follow-up question.

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