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SKSudhin Karkitechgigsudhin20.hashnode.dev8h ago · 41 min read

Theoretical Computer Science

Theoretical computer science is not mainly about writing code. It is about understanding the fundamental nature of computation. It asks questions such as: What exactly is an algorithm? How do we kno

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AAnnethtml-portfolio.hashnode.devJul 18 · 5 min read

Codeforces Journey #3: Learning Arrays Through Beginner-Friendly Problems

After solving my first 20 Codeforces problems, I decided to focus on one of the most fundamental topics in Data Structures—Arrays. Instead of randomly solving problems, I chose problems that helped me

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PGPrakhar Guptaprakhargupta.hashnode.devJul 9 · 33 min read

DP on Strings: A Competitive Programmer's Guide

String DP is one of the most frequently tested Dynamic Programming topics in Competitive Programming. Although the problems may look different most of them are built on a small number of recurring pat

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AAnnethtml-portfolio.hashnode.devJul 6 · 8 min read

🧠 Solving My Next 10 Codeforces Problems | Codeforces Journey #2

After completing my first 10 Codeforces problems, I continued solving another set of beginner-friendly implementation problems. These problems strengthened my understanding of Python and helped me thi

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KVKunal Vermadiariesofkunal.hashnode.devJun 30 · 20 min read

From a Frustration to a Full-Stack AI Platform: The Unfiltered Story of CodeLensX

Have you ever opened three browser tabs at the same time? One showing your GitHub contribution graph with its beautiful green squares. One showing your LeetCode solved problem count. And one showing y

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RRSrsdev.hashnode.devJun 12 · 8 min read

Competitive Programming Series — Session 2: Recursion and Backtracking

After covering the foundational building blocks in Session 1, the next step is one of the most important problem-solving techniques in all of programming: recursion. And once recursion feels comfortab

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RRSrsdev.hashnode.devJun 12 · 9 min read

Competitive Programming Series - Session 1: The Foundations You Need Before Solving Problems

Competitive programming often looks like a race to write code as fast as possible. But the real secret is simpler: the best competitive programmers are not just faster typists — they are better at cho

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SRSundram Raiforkspace.hashnode.devApr 30 · 9 min read

LLMs are terrible at generating correct test cases. Here's the architecture that actually works.

I want to start with the mistake, because that's where the real lesson is. When I first added hidden test generation to ForkSpace — my real-time collaborative DSA practice platform — the obvious appro

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FCFelipe Castilloopencodex.hashnode.devApr 4 · 9 min read

How to Solve Your First LeetCode Problem: A Beginner's Guide

How to Solve Your First LeetCode Problem: A Beginner's Guide LeetCode has become the favorite playground for developers preparing for technical interviews. With over 3,500 problems ranging from "easy"

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ASAshdeep Singhinventory-login.hashnode.devMar 30 · 8 min read

From 900 → 1200: I wasn’t stuck because CP is hard. I was stuck because I was doing it productively wrong.

“Convenience is the fastest way to stay weak.” This is not a clean “how to reach 1200” guide. It’s not motivation either. This is just me looking back at what actually changed between being stuck aro

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Trending tags this week

Theoretical Computer Science

Codeforces Journey #3: Learning Arrays Through Beginner-Friendly Problems

DP on Strings: A Competitive Programmer's Guide

🧠 Solving My Next 10 Codeforces Problems | Codeforces Journey #2

From a Frustration to a Full-Stack AI Platform: The Unfiltered Story of CodeLensX

Competitive Programming Series — Session 2: Recursion and Backtracking

Competitive Programming Series - Session 1: The Foundations You Need Before Solving Problems

LLMs are terrible at generating correct test cases. Here's the architecture that actually works.

How to Solve Your First LeetCode Problem: A Beginner's Guide

From 900 → 1200: I wasn’t stuck because CP is hard. I was stuck because I was doing it productively wrong.