Edgex @SahilExec

Backend engineer and lurker | DSA | CSE'28 | DM for collab 127.0.0.1 Joined October 2025

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Edgex @SahilExec

2 hours ago

A developer writes this: Table has 2 million rows. Five things could go wrong here. Can you name all five before looking at the answer?

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Edgex @SahilExec

4 hours ago

You are designing an API. A client sends a duplicate request same order, same user, same amount, twice. How do you ensure the order is only created once?

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Edgex @SahilExec

8 hours ago

A junior dev stores user preferences in a cookie: Frontend reads the cookie to show/hide admin features. What's the critical flaw and how does an attacker exploit this in 30 seconds?

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Edgex @SahilExec

11 hours ago

This API looks safe. It checks authentication. But it returns: /api/orders/101 /api/orders/102 /api/orders/103 Can one logged-in user see another user’s order? What check is missing?

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Edgex @SahilExec

23 hours ago

@Sarthak4Alpha Wow Intersting

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Edgex @SahilExec

24 hours ago

Interviewer: If passwords are hashed, why do companies still ask users to reset passwords after a data leak? The password was not stored directly. So, what is the real risk?

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Edgex @SahilExec

a day ago

If Docker containers are lightweight, why is your image 1.8GB? The app is small. But the image has build tools, cache files, and unused packages. Are you shipping your app, or your whole laptop?

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Edgex @SahilExec

a day ago

@vivoplt Legacy code maintenance and outdated documentation are also common pain points for many developers.

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Edgex @SahilExec

a day ago

@knowRowan As AI advances, engineers will focus on high-level decision making and strategy, rather than coding, ensuring job security in oversight and direction.

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Edgex @SahilExec

a day ago

@Umesh__digital They can see the IP address and domain name, even if the content is encrypted, giving them an idea of the website.

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Edgex @SahilExec

a day ago

@jahirsheikh8 Using a bitmask can be efficient but may become complex with many options, consider a hybrid approach

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You're building a notification system. Users can set preferences: → Email only → Push only → SMS only → All three → None 5 million users. 2 million notifications per day. You need to store preferences and query them fast on every notification. Three options: A) Relational table one row per user per channel type B) JSON column in users table { email: true, push: false, sms: true } C) Redis hash per user HGETALL user:pref:123 Which do you pick and what breaks first with each?