💡 Good problem solving is more about thinking than coding. Most coding problems follow common patterns like: Brute Force Greedy Divide & Conquer Dynamic Programming Backtracking Now my approach is: Understand the problem Write simple logic Implement brute force Then optimize This mindset has really improved my confidence in interviews and projects. #DeveloperLife #Coding #ProblemSolving #DSA #Growth
Effective Problem Solving Strategies for Developers
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Ever wondered what sets coding apart from programming? 🤔 Here’s a quick breakdown that’ll level up your tech vocab: Coding = Writing syntax✍️: It’s all about mastering the language rules to write clean code. Programming = Solving problems🧩: It’s the bigger picture of using logic to build solutions. Coding focuses on language specifics. Programming focuses on logic and architecture. Master the logic and the language will follow naturally 👏. 💡 Bottom line: Coding is the craft of writing code, while programming is the art of designing solutions. Focus on sharpening your logical thinking, and the syntax will fall into place! #Programming #Coding #TechSkills #SoftwareDevelopment #LearnToCode #ProblemSolving 🚀
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💡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐯𝐬. 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐨𝐥𝐯𝐢𝐧𝐠 You can master syntax, memorize libraries, and learn multiple languages… but if you can’t approach a problem effectively, none of that matters. That’s why I believe 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐬𝐨𝐥𝐯𝐢𝐧𝐠 𝐢𝐬 𝐟𝐚𝐫 𝐦𝐨𝐫𝐞 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐭𝐡𝐚𝐧 𝐩𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐢𝐭𝐬𝐞𝐥𝐟. Because at the end of the day, the end user only cares about the issue resolution not the complexity of the code behind it. 🔹 My personal experience: Work on improving problem solving skill more via several platforms like (HackerRank, LeetCode, Codewars, GeeksforGeeks, etc) as strong problem solvers adapt to any language, any framework, and any challenge. Programming is just the tool while problem solving is the mindset. What do you think? does problem solving outweigh programming in your journey or not? #problem #problemsolving #programming #program #opinion #python #programmer
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🚀 LeetCode Problem 12 – Integer to Roman | DSA Practice Today I solved and explained the "Integer to Roman" problem using a greedy approach. 🔹 Key Concept: Mapping integer values to Roman symbols Using parallel arrays for values and symbols Iteratively subtracting the largest possible value Time Complexity: O(1) (since Roman numerals are bounded) This problem strengthened my understanding of: ✔ Greedy algorithms ✔ String manipulation ✔ Clean implementation logic Consistency in DSA is the key to cracking coding interviews 💪 #LeetCode #DSA #Coding #ProblemSolving #Cplusplus #Programming #100DaysOfCode #SoftwareEngineering #InterviewPreparation
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High-level languages help you build fast, but low-level programming teaches you how things break. When you understand memory, pointers, and the stack, you stop believing in "magic" and start seeing the logic. This knowledge transforms debugging from blind guesswork into precision engineering. You don't need to write C daily, but thinking in it makes you a better problem solver in any language. To build higher, you have to dig deeper. 🚀 #SoftwareEngineering #ComputerScience #LowLevelProgramming #CodingSkills #ProblemSolving
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Why learning syntax is the least important part of coding Novice programmers often obsess over the syntax of a specific language, but Sebesta argues that true mastery comes from understanding the underlying design philosophy. Instead of just memorizing keywords, you should analyze the trade-offs designers made between readability, writability, and reliability. For instance, understanding why a language restricts pointer arithmetic reveals its stance on safety versus efficiency. By studying these architectural decisions, you stop seeing languages as isolated tools and start seeing them as variations of the same fundamental concepts. This perspective allows you to learn new languages in days rather than months, effectively 'future-proofing' your career. —Concepts of Programming Languages https://lnkd.in/gADmfnge #BookReview #Eblite #ProgrammingLanguages #ComputerScience #LanguageDesign #ProgrammingParadigms
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Bit Manipulation for Competitive Programming Bit Manipulation is an important topic in competitive programming, but understanding it properly requires strong fundamentals and structured learning. At CodeHurdle, we have covered Bit Manipulation from basic to advanced concepts in a 3-video series, focused on practical usage in competitive programming. 📌 Watch the complete series here: • Video 1 (Basics): https://lnkd.in/gDcvw-7v • Video 2 (Intermediate Concepts): https://lnkd.in/gy3ctcJw • Video 3 (Advanced Applications): https://lnkd.in/gCTU5qYk The series covers: • Clear explanation of core concepts • Common patterns and techniques used in CP • Efficient problem-solving approaches This series is helpful for students preparing for competitive programming and coding interviews. Follow CodeHurdle for more structured and high-quality competitive programming content. #CodeHurdle #CompetitiveProgramming #BitManipulation #DSA #ProblemSolving #Coding
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That’s what engineering programs should feel like. Not just theory, but learning new tools, new languages, and new ways to think. From Python to C#, from Scratch to visual programming, this is what hands-on engineering looks like. Real skills. Real projects. Real-world problem solving from day one. #eVTOLStudentTeam #futuremadeinAustralia #ManufacturingExcellenceForum #MEFSC #MEF
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Vibe coding just wasn't cutting it for me. Developers think in code, not paragraphs! So I invented Shadow Coding! 🚀 Compared to vibe coding, Shadow Coding gives a higher-quality output using fewer input tokens, all while using a free open-source model! 🤯 How does it achieve this? Easy... Shadow Coding let's you prompt with code instead of plain English! Check it out: - Watch The YouTube Video: https://lnkd.in/dkZBwd4i - GitHub Link: https://lnkd.in/db5UJVNA #ai #vibecoding #coding #claude #claudecode #vscode #programming #aicoding #cursor #dev
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Mastery in One Language vs Learning Multiple: A Programming Reality In the software development world, depth of knowledge is more valuable than breadth without clarity. Mastering a single programming language enables developers to: build strong problem-solving skills understand core programming concepts write clean, maintainable code debug and scale real-world applications effectively In contrast, attempting to learn multiple languages simultaneously often leads to shallow understanding and reduced practical impact. The reality is simple: Organizations value capability and execution, not the number of languages listed on a résumé. A strong foundation in one language makes adapting to others significantly easier and faster over time. Focus on mastery first. Growth will follow. #SoftwareEngineering #Programming #DeveloperSkills #TechCareers #SoftwareDevelopment #LearningPath #EngineeringMindset #CareerGrowth #ProgrammingBestPractices
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Most people think programming is about knowing a language. It’s not. It’s about knowing how to think. Anyone can memorize syntax. Very few can break a problem down, question assumptions, and design a solution that actually scales. That’s where real developers stand out. Good code runs. Great code lasts. And the best programmers? They’re always learning, unlearning, and rebuilding. Tech doesn’t reward noise. It rewards clarity. What skill do you think separates an average developer from a great one?For more insights and updates, you can follow me on: shoaibamin.com medium.com/@shoaibsivany x.com/theshoaibamin github.com/shoaibamin-dev #Programming #SoftwareDevelopment #ProblemSolving #TechMindset #LearningInPublic
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