Build Problem-Solving Skills With Daily Coding

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Summary

Building problem-solving skills with daily coding means regularly practicing programming challenges to improve your ability to analyze, break down, and solve complex issues. This habit helps you become a better thinker and coder by encouraging hands-on learning and active engagement rather than passive observation.

  • Commit to consistency: Set aside dedicated time each day to tackle coding problems, focusing on steady progress and gradual skill improvement.
  • Break problems down: Approach each challenge by dividing it into smaller steps, which makes tough problems easier to manage and understand.
  • Reflect and repeat: After solving a problem, take a moment to review your process and identify patterns so you can approach future challenges with greater confidence.
Summarized by AI based on LinkedIn member posts
  • View profile for Naveen chandrawanshi

    Software engineer @TCS | Ex-Cognizant | software developer | Microservices | Api Design | Cloud Integrations | system design | Python | Open for collaboration

    19,092 followers

    The DSA Prep Strategy That Actually Works Most engineers struggle with Data Structures & Algorithms (DSA) because they approach it the wrong way. They: ❌ Jump into LeetCode without a plan ❌ Memorize solutions instead of understanding patterns ❌ Get stuck in tutorial hell, never applying what they learn Here’s the truth: DSA isn’t about solving random problems it’s about recognizing patterns and applying them efficiently. If you want to crack coding interviews (FAANG, startups, or top tech firms), use this structured approach: 1️⃣ Learn the Fundamentals (Don’t Skip This!) Before jumping into problem solving, build a strong foundation in: ✅ Time & Space Complexity (Big O) ✅ Arrays, Linked Lists, Stacks, Queues ✅ Trees, Graphs, HashMaps, Heaps ✅ Recursion & Dynamic Programming 2️⃣ Master the Core Patterns (Instead of Solving 500+ Questions) Instead of grinding random problems, focus on these 14 must know patterns: 📌 Sliding Window 📌 Two Pointers 📌 Fast & Slow Pointers 📌 Merge Intervals 📌 Cyclic Sort 📌 Topological Sorting 📌 Subsets (Backtracking) 📌 Two Heaps 📌 Binary Search 📌 BFS/DFS 📌 Dynamic Programming 📌 Trie & String Manipulation 📌 Graph Traversal 📌 Bit Manipulation 3️⃣ The 3-Step Problem Solving Framework 🚀 Step 1: Understand the Problem Deeply 🔸 Rephrase the problem in your own words. 🔸 Identify constraints and edge cases. 🚀 Step 2: Identify the Pattern & Plan a Solution 🔸 Recognize which DSA technique applies. 🔸 Start with a brute-force approach, then optimize. 🚀 Step 3: Implement & Debug Like a Pro 🔸 Write clean, modular code with proper variable names. 🔸 Dry run with test cases before submitting. 4️⃣ Be Consistent: The 2-Hour Rule ⏳ Daily Routine (2 Hours/Day): ✅ 30 min – Review a concept/pattern. ✅ 60 min – Solve 2-3 problems (easy → medium → hard). ✅ 30 min – Revisit mistakes & optimize solutions. 5️⃣ Mock Interviews: The Game Changer Most candidates fail not because they lack knowledge, but because they struggle with pressure & communication. ✅ Do mock interviews with peers or on platforms like Pramp, Interviewing.io. ✅ Think out loud explain your approach before coding. ✅ After every session, analyze what went well & what to improve. Final Thought: It’s Not About Memorization, It’s About Problem Solving DSA isn’t just for interviews it makes you a better engineer. Learn patterns, practice smart, and focus on real understanding. What’s your go to DSA prep strategy? Drop it in the comments! 

  • View profile for Sadia Anjum

    AI / ML Engineer | LLM Researcher | Product Developer | Technical Writer

    2,030 followers

    Stuck on a coding problem? Here’s how top engineers actually solve them. Whether you’re prepping for interviews or building real-world systems, it’s not just about writing code — it’s about solving problems intelligently. Here’s a 10-step mindset that transforms debugging into breakthroughs: 1. Understand the problem Restate it in your own words. Clarity first, code later. 2. Work through examples by hand Manual tracing helps uncover hidden logic. 3. Break it down Small steps → Simple code → Fewer bugs. 4. Pick the right approach Map it to known algorithms or problem patterns (greedy, sliding window, recursion, etc.) 5. Write pseudocode first Your thinking should be clear before your syntax is. 6. Code in chunks Build incrementally and test as you go. It’s okay, the random print statements are always going to help (just comment them out after ;)) 7. Test edge cases Empty inputs, large datasets, invalid values — test for chaos. 8. Optimize after it works First, get it working. Then, make it elegant and efficient. 9. Stay calm when stuck Take a break. Talk it out LOUD. Google concepts, not answers. Still doesn’t work? Try to get at least one test case. 10. Reflect after solving Ask: What did I learn? What pattern was this? Could I solve it faster next time? ⸻ 💬 Real talk: Being a good coder isn’t about avoiding bugs but about knowing how to find your way out of them.

  • View profile for Arpita Upadhyay

    MERN Developer | CA @Google For Developers , Ex CA @GSSoC’25 | Research Scholar • AI & ML

    2,751 followers

    ✅ How I Made DSA a Daily Habit 💡📅 📍 When I first started, I struggled with consistency. But soon, I created a system that worked every single day. Here’s what helped me stay on track: 1️⃣ Set a fixed 30-min DSA slot daily — same time, no excuses. 2️⃣ Used a problem pattern tracker (like Leetcode patterns list). 3️⃣ Joined a small accountability group on WhatsApp. 4️⃣ Focused on quality > quantity — 1 problem deeply > 5 half-solved ones. 5️⃣ Spent more time debugging than coding — that’s where learning happens. 6️⃣ Celebrated small wins — solving a tricky question, identifying a pattern. 7️⃣ Took notes in my own words, not just copying solutions. 8️⃣ Revisited old problems weekly — spaced repetition works! 9️⃣ Practiced dry runs on paper — improved my logic thinking. 🔟 Watched explainer videos only after I attempted a question. 🎯 DSA isn’t a sprint. It’s a skill. Build it daily. 🧠 Consistency > Motivation #dsa #programming #fullstack

  • View profile for Sofiat Olaosebikan, PhD

    Inspiring belief, audacity, and action in students and young professionals || Speaker || Asst Professor at University of Glasgow || Founder, CSA Africa || UK Global Talent || Elevate Africa Fellow

    19,799 followers

    🤔 Why does it feel like I’m stuck after watching hours of coding tutorials? Here's the hard truth: Watching someone code is like watching someone swim. You'll never learn to float by sitting on the beach. 🧠 You don’t become a better programmer by watching. You become one by doing. → If you’re learning web development, are you building websites from scratch? → If you’re learning data science, are you playing with datasets? → If you’re learning software engineering, are you coding small tools? → If you’re learning the fundamentals, are you coding basic challenges? Not sure where to start? Here are some great platforms to find challenges for any programming path:  👩🏾💻LeetCode - For algorithm and coding challenges. https://leetcode.com/ 👩🏾💻 HackerRank - Solve problems and build domain skills. https://lnkd.in/es9Qb3Gc 👩🏾💻 freeCodeCamp - Build projects while learning. https://lnkd.in/euXPmkfx 👩🏾💻Frontend Mentor - Real-world web development challenges https://lnkd.in/eFH9qud6 👩🏾💻 Kaggle - Explore data science competitions. https://www.kaggle.com/ 👩🏾💻 Exercism - Great for language-specific practice https://exercism.org/ 👩🏾💻 Codewars - Fun, gamified learning. https://www.codewars.com/ 👩🏾💻 Edabit - Short, fun coding challenges. https://edabit.com/ Remember: Active learning is more effective than passive learning. A single hour of writing code teaches more than 10 hours of watching tutorials. Tackle challenges, no matter how small. 𝗖𝗼𝗱𝗲. 𝗠𝗮𝗸𝗲 𝗺𝗶𝘀𝘁𝗮𝗸𝗲𝘀. 𝗙𝗶𝘅 𝘁𝗵𝗲𝗺. 𝗥𝗲𝗽𝗲𝗮𝘁. What small project will you start coding today? 💻 What other coding platforms will you recommend? #Programming #Tech #Growth #LearnWithSofiat

  • View profile for Jaret André

    Data Career Coach | LinkedIn Top Voice 2024 & 2025 | I Help Mid/Sr Data Professionals land $100k-$300k roles | 90‑day guarantee | Placed 80+ In US/Canada since 2022

    28,966 followers

    My client passed 8 out of his next 10 technical assessments in just 4 weeks of working together They went from failing every technical assessment, hating and blaming the system… But the truth is: You don't rise to the occasion. You fall to the level of your preparation. So I taught him what I teach all my clients: Don’t cram for interviews, train like an athlete, and practice like a professional. Here’s how I help clients prep for interviews without burning out or waiting until an assessment shows up in their inbox. We build coding prep like a habit stack. Each layer trains a real-world interview skill. 𝟭) 𝗟𝗲𝘃𝗲𝗹 𝟭: 𝗗𝗮𝗶𝗹𝘆 𝗰𝗼𝗱𝗶𝗻𝗴 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 (𝟯𝟬 𝗺𝗶𝗻𝘀) Daily coding practice on Platforms WHY? To start interview prep for the assessment and live coding rounds 𝟮) 𝗟𝗲𝘃𝗲𝗹 𝟮: 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 + 𝗽𝘂𝘀𝗵 𝘁𝗼 𝗚𝗶𝘁𝗛𝘂𝗯 Daily coding practice on Platforms + Git, committing progress\ WHY? To retain more information and be able to reflect on your progress 𝟯) 𝗟𝗲𝘃𝗲𝗹 𝟯: 𝗔𝗱𝗱 𝗰𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝗶𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 Daily coding practice on Platforms + Git, committing progress with good commit messages WHY? To practice clearly communicating to your team with git 𝟰) 𝗟𝗲𝘃𝗲𝗹 𝟰: 𝗧𝗿𝗮𝗰𝗸 𝘁𝗶𝗺𝗲 𝗶𝗻 𝗰𝗼𝗺𝗺𝗶𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 Daily coding practice on Platforms + Git, committing progress with good commit messages + Adding time, then adding how long it took in your commit message WHY? To practice like the interview (assessment or live coding) with a little more nervousness, so you can crush the interviews 𝟱) 𝗟𝗲𝘃𝗲𝗹 𝟱: 𝗧𝗮𝗹𝗸 𝗼𝘂𝘁 𝗹𝗼𝘂𝗱 𝘄𝗵𝗶𝗹𝗲 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 Daily coding practice on Platforms + Git committing progress with good commit messages + Adding time, then adding how long it took in your commit message + Talking aloud WHY? To practice like the interview (live coding, case study, system design) by communicating your actions and reasoning, so your practice is more like the real thing, and you can crush the interviews 𝟲)𝗟𝗲𝘃𝗲𝗹 𝟲: 𝗦𝗵𝗮𝗿𝗲 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 (𝗮𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁) Daily coding practice on Platforms + Git committing progress with good commit messages + Adding time, then adding how long it took in your commit message + Talking aloud + Creating a mini content WHY? To start building the habit of creating content from your learnings. The easiest way to create content is to document your life This method has helped my clients pass 80 %+ of coding rounds and land roles in data, analytics, and tech. Take a look at what stage you are on, then, when you are consistent, you can move to the next one. Let’s build the habit, not the panic. ♻️ Repost if you found this helpful

  • View profile for Karan Saxena

    Software Engineer @ Google | AI & Compute Infrastructure

    162,970 followers

    In my 2nd year of college, I almost gave up on DSA after struggling for months.  I was stuck, frustrated & unable to make any progress Until I understood this simple concept. This is how I 10X my DSA skills + got 2000+ ratings on both Codechef & Codeforces (profile links in my about section) 1. Start With Patterns, Not Chapters  DSA is not a book to be read cover to cover.   Don’t start page 1 of a 500-page PDF and hope it’ll magically click.   Instead, pick 1 pattern (say, sliding window) and solve 5–10 problems around it. Pattern > Random Topics  2. Set a 30–30 Rule  – 30 mins to solve a problem.   If you’re stuck, spend the next 30 mins understanding the solution.   Still stuck? No shame. Move on and revisit later. DSA is about efficiency, not ego.  3. Don’t Chase Fancy Languages  C++, Java, Python, use whatever you’re most comfortable with.   Companies don’t care about language.   They care about how well you think.  4. Use Flashcards for Revision  Can’t solve 100 problems daily?   No problem.   Make flashcards:   - Problem statement   - Which algorithm to use   - Why it works You’re training your brain to spot patterns instantly. 5. Build a Routine 1 hour daily > 5 hours once a week.   Do it first thing in the morning.   Before college. Before classes. Before distractions. Build memory. Build intuition. Build confidence. DSA alone won’t get you the job.   But it will build your problem-solving muscle and that's what makes you dangerous in tech interviews. You're not dumb.   You're just one system away from making it click. 

  • View profile for Bhuwan Saretia

    SDE Intern @ Amazon | Former SWE Intern @ Ciena | Expert @ CF | Knight @ LC | 4☆ @ CC | Amazon MLSS ’25 | Rank 64 Amazon ML Challenge ’25 | Meta Hacker Cup ’24 | Full-Stack Developer | ML Enthusiast | NIT DGP EE ’26

    14,430 followers

    The Right Way to Solve a DSA Problem! I’ve been solving at least one DSA problem on LeetCode almost every day for more than a year... hardly a day goes by when I don’t. And during this time, I realized there’s one common mistake that almost everyone (including me) makes. You start solving a problem. You get stuck. You check the first hint... then the second... then the discussion section. Still can’t figure it out. Finally, you open the solution and boom, it looks so simple. You copy it, submit it, feel great for a moment… and move on. But here’s the problem a month later, you see the same question again and get stuck in the exact same place. You vaguely remember the approach but can’t recall the logic. You open the solution again, try to memorize it again… and the same cycle repeats. Welcome to the DSA Trap... where you think you understood the problem, but can’t solve it on your own. 💡 How to Break Out of it! Start by reading the problem statement properly... understand what’s being asked and what the expected output is. Then, give it time. Think through multiple approaches and always begin with the brute force method. It builds confidence and ensures you’ve understood the problem correctly. Write pseudocode before you code. Pseudocode helps you visualize the logic and exposes the pattern behind the solution. If you still can’t solve it, look at others’ solutions, but don’t just memorize. Understand why the solution works. If it’s still unclear, watch a tutorial (I personally recommend this youtube channel @codestorywithMIK). After you understand the concept, immediately solve 2-3 similar problems. This is how you lock the pattern into your brain. One more practical tip: keep an Excel/Notion sheet or a notebook of problems you couldn’t solve on the first try. Revisit it weekly. Once you can solve a problem on your own, remove it. Over time, the list shrinks and your confidence grows. ✨ Hope this adds some value to your DSA journey! #DSA #ProblemSolving #Coding #LeetCode #Learning #Consistency #Programming

  • View profile for Sumit L.

    Software Engineering | Amazon | Java | Full-Stack | Ex-Apple

    53,394 followers

    6 things about learning DSA & problem solving I know now after spending 13+ years as a Software engineer, I wish I knew in my 20s:  [1] Problem-solving isn’t memorization. It’s pattern recognition. - You don’t need to invent solutions from scratch. - The best developers quickly recognize patterns by connecting new problems to old ones. - Tip: Train your mind to spot familiar structures in new questions.  [2] Develop Your "Fast Brain" - Our brain has two modes: Fast (intuitive) and Slow (analytical). - Your fast brain quickly points you in the right direction (e.g., "This feels like a binary search!"). - Tip: Solve varied problems repeatedly so your intuition instantly kicks in during interviews.  [3] Verify Solutions With Your "Slow Brain" - Your fast brain isn't always right. - Use your analytical brain to logically verify solutions step-by-step. - Tip: Always pause and double-check your intuition—don’t rush.  [3] Build Your Personal "Pattern Library" - Problems aren’t random, they follow common patterns. - Examples: Sliding Window, Two-Pointers, Backtracking. - Tip: After each problem, note down the core components and approach, building your own mental library.  [4] Just Solving Problems Isn’t Enough - Simply solving problems without analyzing them won’t build intuition. - Tip: Break problems down, identify core components, and deeply understand why certain solutions work.  [5] Intuition Comes from Deliberate Practice - Memorizing solutions won't help in new situations. - Repeated, intentional practice of problems, especially challenging ones, trains your intuition to "see" solutions quickly. - Tip: Practice intentionally, focusing on identifying patterns rather than just solving fast.  [6] Accept That Mastery Takes Time - You won’t build intuition overnight. Be patient. - Regular, thoughtful practice compounds, your skill improves gradually. - Tip: Trust the process and keep practicing consistently. If you feel stuck right now, remember:   Every great engineer you admire once struggled with the basics too. Keep practicing, keep growing, you'll get there. – P.S: If you're preparing for a SWE role, do check out my guide on behavioral interviews. If you want to break into big tech, startups, or MAANG companies, you must ace the behavioral round. This guide will help you do it → https://lnkd.in/drnsTNhU (230+ engineers are already using this!)

  • View profile for Alisha Surabhi

    Data Scientist & Senior Analyst | American Express | McCombs School of Business, UT Austin | IIM Calcutta (Top 3 MBA)

    38,249 followers

    🚀 Cracking coding interviews is not about solving 1000 random problems. It’s about following a structured roadmap with consistency and pattern recognition. Recently explored the “Ultimate Guide to Mastering DSA” by Bosscoder Academy and one thing stood out clearly: The sheet is designed to build problem-solving ability step by step instead of overwhelming learners with unnecessary questions. Some key highlights from the roadmap: ✅ Structured progression from Arrays → Graphs → Dynamic Programming ✅ Focus on pattern-based learning instead of memorization ✅ Covers essential concepts like Sliding Window, Binary Search, Trees, Heaps, Graphs, DP, Backtracking, and more ✅ Includes interview-relevant problems from platforms like LeetCode and GeeksforGeeks ✅ Emphasizes solving first before checking solutions — the real way to grow as a developer What I liked most is the balance between: 📌 Fundamentals 📌 Interview preparation 📌 Real problem-solving mindset For students preparing for placements or aiming for product-based companies, consistency with a roadmap like this can make a huge difference. Remember: DSA is not learned in one week. It compounds with daily practice, pattern recognition, and patience. The best investment for your tech career is building strong fundamentals. 💡 #DSA #Programming #CodingInterview #SoftwareEngineering #LeetCode #DataStructures #Algorithms #TechCareers #PlacementPreparation #Developers

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