𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗜𝘀 𝗮 𝗦𝘂𝗽𝗲𝗿𝗽𝗼𝘄𝗲𝗿 Most developers want to write new features. Senior developers know how to debug. Anyone can write code when things work. Real skill shows when things break. 🔹 Debugging teaches you: • How your code actually runs • How memory behaves • How threads interact • How APIs really respond • How databases execute queries When you debug deeply, you stop guessing and start understanding. 𝗪𝗲𝗮𝗸 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘀𝗮𝘆: It’s not working. 𝗦𝘁𝗿𝗼𝗻𝗴 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘀𝗮𝘆: Let’s find out why. Stack traces are not errors. They are clues. Logs are not noise. They are signals. If you want to grow faster as a developer, spend more time debugging than watching tutorials. That’s where real learning happens. What was the hardest bug you ever fixed? 👇 #Programming #Debugging #SoftwareEngineering #Java #BackendDevelopment #DeveloperMindset #Coding
Debugging Teaches Real Skills
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As in software development, here are 5 things I’ve learned: 1️⃣ Clean code matters more than clever code 2️⃣ System design is more important than syntax 3️⃣ Performance issues appear in production, not in development 4️⃣ Debugging is a key skill every developer should master 5️⃣ Learning never stops in tech Still growing. Still learning. What’s one lesson you learned as a developer? #SoftwareEngineering #Java #Learning #TechCareers
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200+ LeetCode problems solved. And he couldn't build a basic API. I met a student today who is technically "top tier" on paper. He’s spent months grinding algorithms and mastering dynamic programming. But when I asked about deployment? Blank stare. When I asked about debugging a production error? Silence. We have a massive problem in tech right now. We’re teaching students how to pass an interview, but not how to do the job. We’re churning out competitive programmers, not software engineers. There’s a huge difference between: → Solving a contained logic puzzle in a browser. → Managing a messy, scaling codebase in the real world. If you can invert a binary tree but can’t Git commit without breaking the main branch... The 200 problems don't matter. 🥲 The reality of the "now" market: The bar has shifted. Companies aren't just looking for "smart" anymore—they’re looking for "useful." Mastering the syntax is the floor. Building, shipping, and maintaining is the ceiling. ⚡ Are we over-indexing on LeetCode and losing the craft of engineering? If you're a student: keep practicing logic, but please... build something that someone actually uses. #SoftwareEngineering #Coding #CareerAdvice #TechIndustry #Programming
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💡 Strong Logic Comes From Strong Fundamentals Sometimes the problem in programming is not writing code, but building the right logic. And for building good logic, we need strong programming fundamentals. Many developers make one common mistake: They jump directly into frameworks without understanding the basics. But the truth is: Every framework is built on fundamental programming concepts. If we focus on learning fundamentals like: ✔ Data structures ✔ Core programming concepts ✔ Problem-solving logic Then understanding any framework becomes much easier. 🚀 Frameworks may change, but fundamentals stay forever. So instead of chasing every new framework, invest time in strengthening your fundamentals. That is what makes a strong developer. #Programming #Java #DeveloperMindset #SoftwareEngineering #Coding #LearnToCode
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Most beginner developers focus on learning new frameworks. Senior engineers focus on something else: Debugging. Because in real production systems, most of your time isn't spent writing new code. It's spent figuring out why something broke. A slow API. A failing deployment. A strange edge case no one expected. The developers who grow fastest aren't the ones who know the most tools. They're the ones who can: • read logs • trace bugs • understand systems Frameworks change every few years. But debugging skills last an entire career. Curious — what's your go-to debugging method? Logs? Breakpoints? Print statements? 😄 #SoftwareEngineering #Python #Debugging #BackendDevelopment #DeveloperLife
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A mistake I see junior developers make(I did also): They try to memorize everything. Languages. Framework APIs. Syntax. Great developers don’t memorize. They understand patterns. 🧩 Once you understand patterns, tools become interchangeable. That’s the real skill. #CodingTips #Programming #DeveloperMindset #TechCareers
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Most developers believe that nested loops are unavoidable. However, they are actually a design mistake. When your code includes: - A loop inside another loop - Repeated scanning - O(n²) complexity You are not solving the problem efficiently; you are simply adhering to a habit. In my research, I explored: - Why nested loops occur - The underlying root causes - How indexing can reduce complexity from O(n²) to O(n) The most significant realization? Performance is determined before writing code, based on how data is structured. Nested loops are not merely a coding issue; they are a problem of thinking. I have shared the full research as a document and would appreciate your thoughts. How frequently do you encounter nested loops in production code #SoftwareEngineering #Performance #CleanCode #Java #Backend #SystemDesign #Developers #TechInsights #JavaDevelopment #NestedLoops #CodeOptimization #SoftwareEngineering #ProgrammingTips #JavaTips #PerformanceTuning #EfficientCoding #TechInsights #DeveloperCommunity #CodingBestPractices #SoftwareDevelopment #JavaProgramming #TechOptimization #DevLife
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Most people think developers spend their time writing code. But honestly… A lot of the time we spend reading code. Reading errors. Reading documentation. Reading other developers’ code. Reading stack traces. Reading logs at 2 AM. Sometimes the actual coding part is only 20% of the job. The rest is understanding why something broke. You open the console. You check the logs. You trace the request. You check the database. And suddenly you realize… The bug wasn’t complicated. It was just one missing line of code. That’s the strange beauty of programming. Hours of debugging for a one-line fix. But every bug solved makes you a little better developer. Because debugging is where real learning happens. What was the most frustrating bug you ever fixed? 😅 #BackendDevelopment #Debugging #SoftwareEngineering #WebDevelopment #Developers #SheryiansCodingSchool
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🚀 Master OOPs Like a Pro & Write Scalable Code! 💡🔥 Object-Oriented Programming isn’t just a concept — it’s a superpower for developers 🧠⚡ From Encapsulation 🔒 to Polymorphism 🎭, from Inheritance 🧬 to SOLID Principles 🏆 — mastering OOP helps you: ✅ Write clean & maintainable code ✅ Build scalable applications 🚀 ✅ Think like a software architect 🧠 ✅ Crack interviews with confidence 💼 💡 Pro Tip: Great developers don’t just write code… they design systems! 👉 Start thinking in Objects, not just functions. 👉 Follow DRY, KISS & YAGNI principles. 👉 Prefer Composition over Inheritance. 🔥 The difference between a beginner and a pro? Code that works vs Code that scales! Let’s level up together 💪🚀 Medium - https://lnkd.in/g4xnbMs9 Google Blogs - https://lnkd.in/gwZ6Twub Personal Site - https://lnkd.in/gX7vyv64 Medium - https://lnkd.in/g4xnbMs9 #OOP #Programming #SoftwareDevelopment #CleanCode #SOLID #Developers #CodingLife #Tech #FullStackDeveloper #RubyOnRails #100DaysOfCode #DevCommunity
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🚀 Back to Basics: Why Every Developer Needs a "Fundamentals Refresher" I’ve been spending some time recently revisiting the core pillars of computer programming. Even as we move into more complex frameworks, there’s something incredibly grounding about stripping away the abstractions and looking at the "why" behind our code. Here’s a quick recap of my recent deep-dive revision: 🏗️ The Infrastructure: LLL vs. HLL It’s easy to take High-Level Languages (HLL) for granted. While we enjoy the readability of Java or Python, I took a moment to appreciate the efficiency of Low-Level Languages (LLL) that speak directly to the hardware. Understanding that bridge is key to writing optimized code. ☕ Java: More Than Just "Write Once, Run Anywhere" Revisiting the Java ecosystem reminded me why it remains a powerhouse. It’s not just about the syntax; it’s about the machinery under the hood: JDK: The toolkit we build with. JRE: The environment that allows it to run. JVM: The magic that provides platform independence. JIT Compiler: The silent hero turning bytecode into peak-performance machine code. 🛠️ The Workspace: Evolution of Tools I looked back at the spectrum of Text Editors vs. Code Editors vs. IDEs. While a simple text editor is great for a "Hello World," the refactoring power of a full IDE (like IntelliJ or Eclipse) is indispensable for enterprise-scale logic. 🧠 The Strategy: DSA is a Mindset Data Structures and Algorithms (DSA) isn't just about passing interviews—it’s about efficiency and problem-solving patterns. The Approach: I’ve been refining my "Right Way" to solve problems: Understand → Brainstorm (Brute Force) → Optimize (Time/Space Complexity) → Code → Test. The takeaway? You can't build a skyscraper on a weak foundation. Whether you’re a senior dev or just starting, never be afraid to go back to the basics. What’s one "basic" concept you’ve revisited lately that changed how you think about your current projects? Let’s discuss below! 👇 #Java #Programming #SoftwareEngineering #DSA #CodingLife #LearningDaily #TechCommunity AccioJob
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🚨 Not every crash in your application is your fault. But most developers treat it like it is. That’s where they go wrong. 🧠 Let me explain this in a way you’ll never forget: Imagine you're driving a car 🚗 🟢 Exception = Flat Tire • Something went wrong • You didn’t expect it • But you can fix it 👉 You stop, repair, and continue your journey. 🔴 Error = Engine Explosion • System failure • Nothing you can control • Game over 👉 You’re not fixing it on the road. That’s exactly how Java sees it. ⚡ Exception • Happens in your code • You should handle it • You can recover 👉 try-catch exists for a reason 💥 Error • Happens in JVM/system • You cannot handle it • You should not try 👉 OutOfMemoryError 👉 StackOverflowError 🔥 Here’s the truth most tutorials won’t tell you: Good developers write code that works. Great developers write code that fails gracefully. 💡 Golden Rule: Handle Exceptions. Respect Errors. 🚫 Biggest mistakes I’ve seen: ❌ Catching everything blindly ❌ Ignoring exceptions ❌ Trying to handle Errors ✅ What professionals do: ✔ Handle only what they understand ✔ Log everything important ✔ Let the system fail safely when needed 🧠 Real-world mindset shift: Stop asking: 👉 “How do I fix this error?” Start asking: 👉 “Is this even meant to be handled?” 📌 Because in production… Not every failure is yours to solve. Some are signals to redesign the system. 💬 Let’s talk real experience: What’s the most confusing exception or error you’ve faced? #Java #ExceptionHandling #SoftwareEngineering #BackendDevelopment #Programming #Developers #TechLearning #Debugging #Coding #SystemDesign #JavaDeveloper #LearnToCode
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Rightly said, my whole approach towards bugs has been changed after knowing how to use Debugger.