15 Tips for Technical Interviews That Actually Work
Practical, battle-tested advice for acing coding interviews. From problem-solving strategies to communication tips that impress interviewers.
15 Tips for Technical Interviews That Actually Work
After conducting hundreds of interviews and coaching dozens of candidates, I've distilled the most impactful advice into these 15 tips. These aren't theoretical—they're battle-tested strategies that actually work.
Before the Interview
1. Practice Out Loud
Solving problems silently is different from explaining your thought process while coding. Practice talking through your solutions as if someone is watching. This feels awkward at first but becomes natural with practice.
# Instead of silently writing:
def two_sum(nums, target):
seen = {}
for i, num in enumerate(nums):
if target - num in seen:
return [seen[target - num], i]
seen[num] = i
# Practice saying:
# "I'm going to use a hash map to store numbers I've seen.
# For each number, I check if its complement exists in the map.
# If it does, I've found my pair. If not, I add the current number."2. Prepare Your Environment
3. Review Your Resume
Be ready to discuss anything on your resume in depth. If you listed a technology or project, expect questions about it.
4. Research the Company
Understand what the company does, their tech stack, and recent news. This shows genuine interest and helps you ask better questions.
During Problem Solving
5. Clarify Before Coding
Never start coding immediately. Ask questions:
6. Start with Examples
Work through 2-3 examples by hand before writing code. This helps you understand the problem and often reveals edge cases.
7. Explain Your Approach First
Before coding, describe your algorithm in plain English. Get the interviewer's buy-in before investing time in implementation.
> "I'm thinking of using a hash map to store seen values, giving us O(n) time complexity. Does that sound reasonable?"
8. Write Clean Code
Even under pressure, write readable code:
# Bad:
def f(a, t):
d = {}
for i, x in enumerate(a):
if t - x in d:
return [d[t - x], i]
d[x] = i
# Good:
def two_sum(nums, target):
seen_indices = {} # Maps value -> index
for i, num in enumerate(nums):
complement = target - num
if complement in seen_indices:
return [seen_indices[complement], i]
seen_indices[num] = i9. Test Your Code
Walk through your code with a simple example. This catches bugs and shows attention to detail.
10. Handle Edge Cases
Always consider:
Communication Tips
11. Think Out Loud
The interviewer can't read your mind. Verbalize your thinking, even when you're stuck. Saying "I'm considering a hash map approach but concerned about space..." is better than silence.
12. Admit What You Don't Know
If you're unfamiliar with something, say so honestly. Then explain how you'd figure it out. Pretending to know something you don't is easily spotted.
13. Ask for Hints Gracefully
If you're stuck, it's okay to ask for direction:
> "I'm torn between two approaches. Could you give me a hint about which direction to explore?"
14. Accept Feedback Positively
When the interviewer suggests an optimization or correction, don't get defensive. Say "That's a great point" and incorporate the feedback.
15. Prepare Questions for Them
At the end, ask thoughtful questions:
The Mental Game
Handling Nervousness
Nervousness is normal. Reframe it as excitement. Take deep breaths. Remember: the interviewer wants you to succeed—they need to hire someone!
Dealing with Failure
Not every interview goes well. Treat each one as practice. After a rejection, analyze what went wrong and address those gaps.
Building Confidence
Confidence comes from preparation. The more problems you solve, the more patterns you recognize, and the more confident you become.
Your Action Plan
Technical interviews are a skill that improves with practice. Start preparing today on [AlgoArena](/practice) and build the confidence you need to land your dream job.