andreyka26_se
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Hey, I'm software engineer at Microsoft, with 8+ years of experience. Here we are talking about F(M)AANG big tech interviews: leetcode, system design and corpo life.

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Forwarded from Влад Тен
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I'm very surprised.
So imagine, some guy read the article, clicked on the "system design" category, found out that it does not work, found the repo for github pages, figured out what's not working, created fix PR, and it worked.
Then guy found me on instagram and pinged me to take a look.

Very nice surprise tbh, thanks @thisizaro.
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Daily (251/373 streak until LC cap)

Nice medium problem. Actually there is pattern, that solves this problem, I have seen it in other good problems, so I would recommend to solve this one.

https://leetcode.com/problems/minimum-absolute-distance-between-mirror-pairs/description/?envType=daily-question&envId=2026-04-17

#daily #medium
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Don't believe it can replace software engineers completely in cases like:
- company/project cares about reputation
- big not maintainable projects

===

In case of reputation - no company would ever trust AI doing highly important incidents mitigation, rollouts, etc. We are paid for taking responsibility and being able to act intelligently

For large projects, it is quite visible that it usually proposes bad approaches for bug fixes, and feature implementations that are either redundantly complicated or impossible at all.

Besides that, recently I needed to do some calculations about infra cost. This shit, that had access to all necessary info estimated it wrongly that was spotted by senior. So whenever there is a need for precise answers, like HOW MUCH it costs us, IS IT POSSIBLE TO DO X,Y,Z - AI cannot say for sure in large projects.

===

Market will be bad, there might be salary degradation and juniors might be out of market completely though
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It is quite interesting dynamic, that very often managers want to hear precise estimations in money, time for some feature, or is it possible to do some feature. The problem with AI that no engineer has ownership and mental model for that, and it is typical that now engineers spend 10x time to confirm some hypothesis, estimation, etc.

So apart from performance boost from NOT writing the code, we got performance degradation in understanding and making decisions. Time will show how bad it is.
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andreyka26_se
It is quite interesting dynamic, that very often managers want to hear precise estimations in money, time for some feature, or is it possible to do some feature. The problem with AI that no engineer has ownership and mental model for that, and it is typical…
For small projects, POCs, etc you don't even need understanding. I have built apps for myself (tools.andreyka26.com, syncsymptom.com) in vibecode mode except deploying it manually to my vm. I don't really know how it works, except some parts, like how auth is built, what are the frameworks, storages, and what is general basic architecture that I want.

But again, I can afford it, because I don't care, I'm the only customer, and it was quite a lot of times that it erased some feature, or broke some page, or something else. I just don't give a shit, but on the scale of Snowflake, Microsoft, Google -> they will lose millions because of that, if this is the approach.
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THE MOST FUCKING ANNOYING type of companies are US stock companies.

whatever you want to do extra - you fucking need to call them (an be charged by that). Change phone number? - call them, change address - call them, troubles with registration/auth - call them.

I fucking hate calling people in general. Humanity came up with email, messengers, sms, what is the purpose of calling are they just previous ERA or is it security? They don't know my voice, however I'm fucking stating the security codes and other shit outloud for everyone else who can hear me.

and specifically the "benefits" team works only business days, amazing. Sorry but I don't understand it at all.
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andreyka26_se
Rest day today
battlefield 1, in case you are interested what's the game.
Amazing, just very poor multiplayer implementation by EA, but the gameplay is amazing. Love playing sniper here.
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Daily (254/373 streak until LC cap)

Nice problem, not necessarily some pattern that I know about. But optimal way took me 5-10 mins to come up with and validate.

https://leetcode.com/problems/two-furthest-houses-with-different-colors/?envType=daily-question&envId=2026-04-20

#daily #easy
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Daily (255/373 streak until LC cap)

Amazing problem, definitely challenges some of the patterns. Should be marked as hard though IMO.

https://leetcode.com/problems/minimize-hamming-distance-after-swap-operations/description/?envType=daily-question&envId=2026-04-21

#daily #medium #pattern
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Okay, I like finder in mac, it is better for the most part than windows explorer, but, why the fuck I can create the folder, but cannot create file?????

I should now open terminal or vscode to create fucking file. Why then you allow creating folder there? Does not make sense at all to me.
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Daily (256/373 streak until LC cap)

I'm sorry for late notice, but this is amazing problem. Can be solved via bruteforce, but also has amazing pattern that I had during one of my real big tech interviews. Recommended definitely

https://leetcode.com/problems/words-within-two-edits-of-dictionary/description/?envType=daily-question&envId=2026-04-22

#daily #medium #recommend #pattern
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Daily (257/373 streak until LC cap)

Pretty solid question for prefix sum, however the intuition is not that easy.

https://leetcode.com/problems/sum-of-distances/description/?envType=daily-question&envId=2026-04-23

#daily #medium #pattern
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So, question from real prod investigation.

You are high load system, and you are checking metrics of where server sends requests to.

You see 99% of destination ports reported by some low level tool (bpf) equal to 47873.

Apparently this is not usual port, as most of the IPs are leading to cloud providers, eg azure, aws, etc.

What is the actual port?

Hint: small/big endian.

(Posting real answer with explanation in the evening)
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What is the actual port?
Anonymous Quiz
9%
47873
9%
444
54%
443
14%
80
8%
4000
5%
3000
3