Nithin Mukka

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Nithin Mukka

Nithin Mukka

@CoderNithin

21 | Incoming Software Engineer @dell | CS'26 | Backend | DSA | Gym freak

Katılım Aralık 2025
113 Takip Edilen285 Takipçiler
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Vyom 👾
Vyom 👾@HelloVyom·
looking to connect people on X if you're into - building SaaS - vibe coding - Al tools - shipping in public - figuring it out as you go say Hi or drop what you're working on looking to follow active ones
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Nithin Mukka
Nithin Mukka@CoderNithin·
@Its_Nova1012 Package.json stores what packages and which versions you need. Package-lock.json locks those exact versions to ensure everyone uses the same versions on any machines when using cmds like npm install
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NOVA
NOVA@Its_Nova1012·
Software engineers: You use these files every day. - package.json - package-lock.json But do you actually know the difference?
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Dark Coder
Dark Coder@dark_coderz·
If AI builds everything for you, what’s your real job?
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Dark Coder
Dark Coder@dark_coderz·
Day 5 of trying to crack a 15+ LPA software job from a tier 3 college by 2027. Today's progress: → followers: 2,280 on X (+70) → revised DSA: • Merge Sort • Implemented Merge Sort from scratch • Dry run and recursion tree analysis • Solved stack problems: Valid Parentheses Minimum Add to Make Parentheses Valid The Celebrity Problem → practiced Low Level Design (LLD): • Designed a collaborative document editor (Google Docs type) • Identified core entities and relationships • Discussed system components and architecture still a long way to go. just focused on getting 1% better today. back again tomorrow. If you're preparing for placements or internships, what's one topic you're working on right now?
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Dark Coder@dark_coderz

Day 4 of trying to crack a 15+ LPA software job from a tier 3 college by 2027. Today's progress: → followers: 2,210 on X (+45) → practiced DSA @CoderArmy: • Min Heap & Max Heap • Heap implementation in C++ • Heapify • Heap Sort • Priority Queue using STL • Solved the Magician and Chocolates problem → started Low Level Design (LLD) @CoderArmy: • LLD fundamentals • Introduction to OOP • Encapsulation • Abstraction still a long way to go. just focused on getting 1% better today. back again tomorrow. If you're preparing for placements or internships, what's one topic you're struggling with right now?

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Neeraj
Neeraj@neerajjj6785·
I'm a backend dev, scare me with one word
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Nithin Mukka
Nithin Mukka@CoderNithin·
Just 1 to go for double century
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Nithin Mukka
Nithin Mukka@CoderNithin·
Reached both 100 and 200 followers on same day. Thank you everyone for building this tech community Gonna post consistently
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Nithin Mukka
Nithin Mukka@CoderNithin·
@adahstwt They might be doing that, but you can't see the output directly
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adah
adah@adahstwt·
maybe it's just me... but Why are vibe coders mostly web developers? I've almost never seen someone vibe code in Java or C++ 😭
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abhinav
abhinav@AbhinavXJ·
sup guyz? what's cooking how's the grind going
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Venkatesh
Venkatesh@venkateshdotdev·
@CoderNithin That was fast! Congrats bud🤝 Shall we connect?
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Nithin Mukka
Nithin Mukka@CoderNithin·
Just 1 to go for 50 followers 🥳
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Nithin Mukka
Nithin Mukka@CoderNithin·
@0xlelouch_ Thanks for these great resources. Understanding databases make you a better backend developer
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Abhishek Singh
Abhishek Singh@0xlelouch_·
Want to get better at databases without turning it into a PhD? 10 resources that actually help on the job: 1) Designing Data-Intensive Applications (Kleppmann) — systems view: replication, partitioning, consistency, real tradeoffs 2) Database Internals (Petrov) — how storage engines, B-trees/LSM, WAL, compaction work so you stop guessing 3) Use The Index, Luke! — practical indexing lessons; teaches you what the optimizer cares about 4) Postgres docs (esp. EXPLAIN, indexes, VACUUM, isolation) — best ROI if you run Postgres in prod 5) MySQL 8.0 Reference Manual + InnoDB docs — transactions, locks, MVCC, replication details you’ll hit in incidents 6) CMU 15-445/645 (Database Systems) — free lectures + projects; forces you to implement parts of a DB 7) Jepsen analyses — learn failure modes: split brain, stale reads, broken assumptions under partitions 8) High Scalability posts on real systems — how big teams use caches, sharding, queues, and where it hurts 9) practice: build a mini storage engine — write-ahead log + simple B-tree, then add crash recovery; you’ll never read DB docs the same way 10) practice: run a tiny “prod” DB at home — Postgres in Docker + pgbench + slow query log; add an index, tune autovacuum, measure before/after
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Dr. Dhruv Mundhra
Dr. Dhruv Mundhra@DhruvMundhraYT·
@CoderNithin All these types of posts, I see them at way higher than 49... Did you gain these many followers in a day? Has to be a bait😅
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