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Your complete interview prep
toolkit

Everything you need to walk into your next interview prepared — questions to practice, tips that actually work, a pre-interview checklist, and the STAR method explained.

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Interview Questions

25 questions every software engineer candidate should be ready for.

25 questions · 4 categories

25 curated SWE interview questions

Real questions asked in software engineering loops — behavioral, system design, technical communication, and product sense. Each one links directly to an AI mock interview so you can practice on the spot.

Behavioral System Design Technical Comm. Product Sense
Browse all 25 questions →
01 Tell me about a time you failed and what you learned from it. → 11 Design a URL shortener like bit.ly. Walk me through your architecture. → 18 Walk me through exactly what happens when you type a URL into a browser. → 21 How would you improve Google Maps? →
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Interview Tips

18 actionable tips for before, during, and after the interview.

18 tips · 4 categories

18 tips that actually change outcomes

Practical advice for every stage: how to prepare the night before, what to do in the room when you don't know the answer, how to follow up after, and the mistakes that kill otherwise strong candidates.

Before During After Mistakes to Avoid
Read all 18 tips →
02 Practice the STAR method out loud — not in your head. → 04 Test your tech setup the day before — don't discover problems live. → 09 Control your pace — silence is not failure. Take the second to think. → 15 Don't ramble — edit while you speak. Long answers hide weak ones. →
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Pre-Interview Checklist

Run through this before every interview — morning of, not the night before.

10 items
✓
Research the company — what they do, their recent news, and their products. Interviewers can tell who didn't bother.
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Prepare 3–5 STAR stories from your resume. Map each one to: conflict, failure, leadership, cross-functional work.
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Test your tech setup — audio, video, internet connection. Do it the night before, not five minutes before the call.
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Know the job description cold. Identify the 2–3 skills they care most about and have a story for each.
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Prepare 3 questions to ask the interviewer. "What does success look like in the first 90 days?" beats "Do you have good culture?"
✓
Check the dress code. If unknown, default one level above what you think — overdressed is recoverable, underdressed isn't.
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Confirm the logistics — time, timezone, video link or address. Don't assume the info hasn't changed since the invite.
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Review your resume — know every line. Interviewers ask about specifics. "I'd have to check" is a red flag.
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Do a quick mock interview the night before. Even 15 minutes out loud is more useful than 2 hours of silent review.
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Get 7+ hours of sleep. Cognitive performance degrades significantly under 6. No last-minute cramming is worth a foggy interview.
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Quick Reference: STAR Method

The framework every interviewer expects you to use for behavioral questions.

S
Situation
Set the scene. Where were you, what was the context? Keep it brief — 2–3 sentences. The point is context, not backstory.
T
Task
What was your specific responsibility? Make it clear what you owned — not the team's goal, your piece of it.
A
Action
What did YOU do? Use "I" not "we." This is the longest part — walk through your specific decisions and why you made them.
R
Result
What happened? Quantify where possible. End with impact, not just what got done. "We shipped it" is not a result.
Example — "Tell me about a time you failed."
"Tell me about a time you failed and what you learned from it."
S
In my junior year internship, I was building a data pipeline that fed our team's weekly reports. The deadline was tied to a leadership review.
T
I was solely responsible for the ETL script and the data accuracy. My manager trusted me to own it without oversight.
A
I assumed the upstream data schema was stable and didn't add any validation. Two days before the review, a schema change upstream silently corrupted three weeks of data. I caught it, stayed late to rebuild the pipeline with validation and backfill the data, and flagged it to my manager proactively rather than hoping nobody noticed.
R
The report was ready on time. My manager appreciated the transparency and the fix. I introduced schema validation as a standard step for all pipelines on our team — it caught two more upstream issues before they caused problems.

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