3 𝐇𝐚𝐫𝐝 𝐓𝐫𝐮𝐭𝐡𝐬 𝐈 𝐋𝐞𝐚𝐫𝐧𝐞𝐝 𝐭𝐡𝐞 𝐇𝐚𝐫𝐝 𝐖𝐚𝐲 𝐢𝐧 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 🏆 Lately, I have been identifying the mistakes that were holding back my progress in competitive programming, and I want to share my solutions to help you avoid the same traps. When I first started CP, I thought speed was everything, but I quickly learned that clear thinking is far more important than fast typing. After facing many frustrating "Wrong Answer" verdicts, I realized my entire approach needed an overhaul to focus on better logic and problem analysis. Here are 3 mistakes I’ve stopped making: 1. 𝐓𝐡𝐢𝐧𝐤 𝐨𝐧 𝐩𝐚𝐩𝐞𝐫 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐭𝐚𝐫𝐭𝐢𝐧𝐠 𝐭𝐲𝐩𝐞. I used to jump straight into coding after a quick mental scan. Usually, my logic failed halfway through. Now, I don't start the coding part until I’ve dry-run the logic on paper. Thinking on paper builds a visual intuition that a screen just can't provide. 2. 𝐂𝐡𝐚𝐬𝐢𝐧𝐠 "𝐒𝐡𝐢𝐧𝐲 𝐎𝐛𝐣𝐞𝐜𝐭" 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 I spent too much time trying to learn advanced, niche topics instead of mastering the fundamentals commonly used in my rank range. Solving 100 problems using BFS, DFS, or greedy is infinitely more valuable than a complex algorithm you'll rarely use in a Div. 2 contest. 3. 𝐓𝐫𝐞𝐚𝐭𝐢𝐧𝐠 "𝐮𝐩𝐬𝐨𝐥𝐯𝐢𝐧𝐠" 𝐚𝐬 𝐚𝐧 𝐚𝐟𝐭𝐞𝐫𝐭𝐡𝐨𝐮𝐠𝐡𝐭 I used to say, "I will solve these problems later," but "later" never came. Now, I try to up-solve within a few hours of the contest. The problem is still fresh in my mind, and it is much easier to see exactly where my logic went wrong. CP isn't just about the rating. It's about the discipline of problem-solving. 𝐓𝐨 𝐦𝐲 𝐟𝐞𝐥𝐥𝐨𝐰 𝐜𝐨𝐝𝐞𝐫𝐬: 𝐖𝐡𝐚𝐭’𝐬 𝐨𝐧𝐞 𝐦𝐢𝐬𝐭𝐚𝐤𝐞 𝐲𝐨𝐮 𝐦𝐚𝐝𝐞 𝐞𝐚𝐫𝐥𝐲 𝐨𝐧 𝐭𝐡𝐚𝐭 𝐲𝐨𝐮’𝐫𝐞 𝐠𝐥𝐚𝐝 𝐲𝐨𝐮 𝐟𝐢𝐱𝐞𝐝? . . . #CompetitiveProgramming #Codeforces #Programming #CP #SoftwareEngineering #LearningJourney #AIUB #ProblemSolving
3 Hard Truths I Learned in Competitive Programming
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🚀 One Habit That Improved My Problem Solving: DRY RUN + PATTERN FINDING While solving DSA problems on LeetCode, I realized something simple but powerful 👇 👉 Don’t jump straight to code. 👉 First, dry run the problem manually. 🔍 Step 1: Dry Run Take a small example and simulate it step-by-step. What is happening at each step? What values are changing? Where is the decision being made? This builds clarity. 💡 Step 2: Find the Pattern Once you dry run 2–3 examples, patterns start appearing: Repeating calculations Overlapping subproblems Greedy choices or sequences 👉 That’s where optimization begins. 🔥 Real Learning Most of the time, the solution is not in writing more code… It’s in understanding the pattern behind the problem. 🎯 My Rule Now: “If I can’t dry run it, I don’t understand it.” 💬 Try this approach in your next problem and see the difference. Clarity → Pattern → Optimization 🚀 #DSA #Coding #ProblemSolving #LeetCode #Programming #Tech #Learning #InterviewPrep
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Every developer runs into this phase. You write the code. Everything looks perfect. You press Run. And suddenly… nothing works. Early on, I believed programming was just about getting the syntax right. Reality hit fast — real growth starts when things break. Bugs don’t just test your code. They test your: • Patience • Problem-solving • Focus • Mental strength Debugging forces you to slow down. Re-read your logic. Understand how the system actually behaves. Think in new directions. As a student or beginner, this part feels exhausting.But this struggle is doing the real teaching. Because the same errors that frustrate you today will build your confidence tomorrow. Still learning. Still fixing bugs. Still moving forward. #Programming #CodingLife #DeveloperJourney #Debugging #SoftwareEngineering #LearnToCode
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Every developer runs into this phase. You write the code. Everything looks perfect. You press Run. And suddenly… nothing works. Early on, I believed programming was just about getting the syntax right. Reality hit fast — real growth starts when things break. Bugs don’t just test your code. They test your: • Patience • Problem-solving • Focus • Mental strength Debugging forces you to slow down. Re-read your logic. Understand how the system actually behaves. Think in new directions. As a student or beginner, this part feels exhausting.But this struggle is doing the real teaching. Because the same errors that frustrate you today will build your confidence tomorrow. Still learning. Still fixing bugs. Still moving forward. #Programming #CodingLife #DeveloperJourney #Debugging #SoftwareEngineering #LearnToCode
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💡𝙂𝙧𝙚𝙖𝙩 𝙨𝙤𝙛𝙩𝙬𝙖𝙧𝙚 𝙨𝙩𝙖𝙧𝙩𝙨 𝙬𝙞𝙩𝙝 𝙨𝙤𝙡𝙫𝙞𝙣𝙜 𝙥𝙧𝙤𝙗𝙡𝙚𝙢𝙨, 𝙣𝙤𝙩 𝙟𝙪𝙨𝙩 𝙬𝙧𝙞𝙩𝙞𝙣𝙜 𝙘𝙤𝙙𝙚. Many people think programming means typing lines of syntax on a keyboard. But the truth is the real work happens in the mind before the code is written. ✨ Coding is about thinking. ✨ Coding is about solving problems. ✨ Coding is about turning ideas into solutions. Every challenge forces you to think deeper. Every bug teaches you patience. Every project strengthens your problem-solving mindset. Great developers are not just people who know a language or a framework. They are thinkers, builders, and problem solvers. So the next time you see someone coding, remember: 🚀 They are not just writing code. 🔥 They are designing solutions. 🧠 They are solving problems. #Coding #ProblemSolving #SoftwareDevelopment #Programming #TechMindset
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How I'm improving as a Software Engineer — Part 1 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐛𝐞𝐟𝐨𝐫𝐞 𝐰𝐫𝐢𝐭𝐢𝐧𝐠 𝐜𝐨𝐝𝐞. When I first started coding, my instinct was to immediately start typing code. But I noticed something interesting. Many bugs happen because the 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐰𝐚𝐬𝐧'𝐭 𝐟𝐮𝐥𝐥𝐲 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐨𝐨𝐝 𝐢𝐧 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐩𝐥𝐚𝐜𝐞. Now I try to follow a simple rule: Spend more time 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐭𝐡𝐚𝐧 𝐰𝐫𝐢𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧. Things that help me: • Rewriting the problem in my own words • Identifying inputs and expected outputs • Thinking about edge cases Often the solution becomes much clearer once the problem is properly understood. Part 2 tomorrow: Breaking problems into smaller pieces #softwareengineering #programming #coding #learninginpublic
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Implementing Core Linked List Operations in C : ⏩ Tried something a little different with this post.I usually don’t post simple program executions or small practice implementations here ,most of my posts are generally project-oriented where I share progress, ideas, small experiments, and things I’m building or exploring. But I thought it might be interesting to occasionally share some learning progress as well. Here’s a short demo of a Singly Linked List implementation in C, covering some of the core operations: Operations implemented: • Insert at beginning • Insert at middle • Insert at end • Delete a node • Search for a node • Sort the linked list It’s a simple program but there's always a certain satisfaction in learning a concept and then implementing it step by step until everything works as expected. Just a small progress update — more project updates, experiments, and ideas coming soon. #CProgramming #DataStructures #LinkedList #Coding #SoftwareDevelopment
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Ever feel like the world of programming is an endless ocean of acronyms and paradigms? 🌊 In my experience as a lecturer, I’ve found that whether you are just starting your coding journey or you're a seasoned developer, having a solid grasp of the core fundamentals is what separates a good coder from a great engineer. I’ve put together this latest edition of Bassam Notes to serve as a comprehensive "cheat sheet" for the essentials. This guide breaks down the complexities into a single, digestible snapshot: The Paradigms: Understanding the "How" (Imperative) vs. the "What" (Declarative). Level Comparison: Why we trade the execution speed of Low-Level code for the productivity of High-Level languages. The Development Lifecycle: From Problem Request to Deployment—reminding us that it’s never just about writing code! Performance Factors: Why Algorithm Efficiency (O-notation) and data structures still rule the backend. My goal with these notes is to simplify the learning curve and provide a visual roadmap for the next generation of tech talent. Which programming paradigm do you find yourself working in most often? Functional, OOP, or a mix of both? Let’s discuss in the comments! 👇 #Programming #SoftwareEngineering #WebDevelopment #CodingTips #TechEducation #BassamNotes #ComputerScience #ITLecturer
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When I first started coding, I honestly underestimated pattern-building problems. I used to think, “Why am I printing stars and numbers? How is this even useful?” But once I actually sat down and worked through them, things started to change. I began noticing how much I was struggling—not with big concepts—but with basic syntax and structuring logic. Simple things like where to place loops, how conditions flow, or why my output wasn’t matching the pattern I had in mind. Pattern problems forced me to slow down and think. I wasn’t just writing code anymore—I was visualizing it. Line by line. Loop by loop. That’s when I realized: Understanding syntax is one thing, but building logic is a completely different game, and these small problems quietly train both. After spending time on them: • My loop control improved a lot • I made fewer silly syntax mistakes • I could break down problems more clearly • Even slightly complex questions started feeling manageable Looking back, those “simple” problems were actually doing the heavy lifting. If you’re starting out and feel stuck, don’t skip this phase like I almost did. It might feel basic, but it builds the mindset you’ll need for everything ahead. #CodingJourney #Programming #LearningToCode #DeveloperMindset #ProblemSolving #BufferBytesTechnologies #Dockode
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As part of my learning journey in Design Principles, I’m excited to share my first article! 📖 Mastering SOLID Principles: The Foundation of Clean and Scalable Code In this article, I break down the fundamentals of SOLID principles in a simple and practical way—focusing on how they help us write cleaner, more maintainable, and scalable code. 💡 Here’s what you’ll learn: Why design principles matter in real-world development A beginner-friendly introduction to SOLID Common mistakes in code design and how to fix them Simple examples to understand better coding practices 🔗 Read the full article here: https://lnkd.in/gsxGaGyS This is just the beginning—I’ll be sharing more insights and deep dives as I continue exploring software design and clean code. 🔗 Would love your feedback and thoughts! #SoftwareEngineering #CleanCode #SOLIDPrinciples #LearningInPublic #Programming #Tech
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I've always believed the best developers never stop learning — and some of my biggest breakthroughs have come not from a course or a tutorial, but from a great book. 📖 I'm on the hunt for my next great software engineering read. Whether it's a deep dive into architecture, a guide to writing cleaner code, or a must-read from an author who changed your perspective — I want to hear about it. What book do you keep recommending to other developers? Drop it below! 👇 #SoftwareEngineering #BookRecommendations #SoftwareCraft #Programming #TechCommunity #AlwaysLearning
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