Prioritize System Design and Clean Code Over Frameworks

Debugging in Java taught me something unexpected: 👉 The issue is rarely where you think it is. Early on, I used to focus only on the line where the error appeared. But in real-world systems, especially microservices, the root cause is often somewhere else. It could be: ✔ A delayed API response ✔ A misconfigured environment variable ✔ A hidden edge case in another service Now, whenever I debug, I ask: “What chain of events led here?” 💡 Insight: Great developers don’t just fix errors — they trace systems. #Java #Debugging #SoftwareEngineering #BackendDevelopment #Microservices

I once thought writing code was my job. Then I faced my first production issue. The API was working fine locally. But in production, it started failing randomly. - No syntax error. - No obvious bug. - Just failures. That day I learned: Writing code is easy. Understanding failures is engineering. Now I focus more on: - Logs - Monitoring - Edge cases Because real systems don’t fail in IDEs. They fail in production. #Java #BackendDevelopment #SoftwareEngineering #Production #Learning

What happens when you're tasked with debugging a legacy codebase that's been untouched for years? I still remember my first encounter with such a project, it was like trying to decipher a puzzle written in a language I barely understood. My team and I were assigned to refactor a massive Java application that had been built over a decade ago. The code was a mess of nested if-else statements, obscure variable names, and outdated libraries. It was overwhelming, to say the least. One particular issue that had me stumped was a tricky null pointer exception that would occur only under certain conditions. I spent hours poring over the code, trying to identify the culprit, until I stumbled upon a hidden gem of a method that was the root cause of the problem. The fix was relatively simple, just a few lines of code: ```java if (object == null) { return Optional.empty(); } else { return Optional.of(object); } ``` This experience taught me the importance of patience, persistence, and attention to detail when working with legacy code. What's the most challenging debugging experience you've had, and how did you overcome it? #DebuggingWarStories #LegacyCode #Java #Refactoring #CodeQuality #SoftwareDevelopment #ProgrammingChallenges #TechJourney

Topic: Importance of Naming in Code Good naming is one of the simplest ways to improve code quality. Poor naming leads to: • Confusion • Misunderstanding of logic • Slower development • Harder maintenance Good naming should be: • Clear and descriptive • Consistent across the codebase • Reflective of intent Examples: Bad: data, temp, x Good: userAccountBalance, paymentStatus, orderList Naming is not just a small detail. It directly impacts how easily others understand your code. Because code is read more often than it is written. What naming conventions do you follow in your projects? #CleanCode #SoftwareEngineering #Java #BackendDevelopment #Coding

Most backend bugs in production aren't caused by bad code. They arise from assumptions that were never questioned during development. Common assumptions include: - "This API will always return data." - "The network will always be stable." - "No one will hit this endpoint 1000 times a minute." Defensive programming isn't pessimism; it's simply experience wearing a helmet. #BackendDevelopment #SoftwareEngineering #Java #LessonsLearned

When I look at a Java codebase for the first time, I don't start with the business logic. Here's exactly what I check in the first 30 minutes — and what it tells me about the team that built it. ─── MINUTE 0–5: The build file ─── How many dependencies are there? Are versions pinned or floating? Is there anything in there that shouldn't exist? A bloated pom.xml tells me the team added without ever removing. Technical debt starts here. ─── MINUTE 5–10: The package structure ─── Is it organised by layer (controller/service/repo)? Or by feature (orders/users/payments)? Neither is wrong. But inconsistency tells me nobody agreed — and that means nobody was leading. ─── MINUTE 10–15: Exception handling ─── Are exceptions caught and swallowed silently? Are there empty catch blocks? Is there a global exception handler? Empty catch blocks are where bugs go to hide forever. ─── MINUTE 15–20: The tests ─── What's the coverage? (Not the number — the quality) Are they testing behaviour or implementation? Do they have meaningful names? A test named test1() tells me everything I need to know. ─── MINUTE 20–25: Logging ─── Is there enough to debug a production issue? Is there too much (log noise)? Are sensitive fields being logged? (Passwords, tokens, PII) ─── MINUTE 25–30: @Transactional usage ─── Is it applied correctly? Is it on private methods? (Silently ignored) Is it on everything? (Misunderstood) By the time I'm done, I know the team's level, their communication habits, and where the bodies are buried. What's the first thing YOU look at in a new codebase? 👇 #Java #CodeReview #SpringBoot #BackendDevelopment #SoftwareEngineering #JavaDeveloper #CleanCode #Programming

🚀 What happens inside Spring Framework when your application starts? From bootstrapping to dependency injection, here’s a complete step-by-step flow of how Spring works internally. Understanding this flow helps developers write better and optimized applications. #Java #SpringBoot #BackendDevelopment #SoftwareEngineering

🧠 Clean Code is Not About Fancy Code… Earlier, I used to think writing complex logic = good developer. But I was wrong. Now I follow one simple rule: 👉 “If a junior can’t understand it, it’s not clean code.” ✔ Meaningful variable names ✔ Small methods ✔ Less complexity Clean code saves hours of debugging later. Do you write code for machines or for humans? 👇 #CleanCode #Java #Developers #SoftwareEngineering

Stop treating Thread states as a mystery. 🔍 We often talk about multithreading in Java, but how often do we really visualize the Thread lifecycle? When you understand the transition from NEW to TERMINATED, you’re not just memorizing states—you’re learning how to: ✅ Diagnose thread contention. ✅ Debug deadlocks effectively. ✅ Build more performant backend systems. In our latest "Backend Simplified" video, we break down the entire lifecycle. No fluff—just the core architecture you need to write production-grade concurrent code. If you are a student prepping for interviews or a dev looking to refine your concurrency skills, this one is for you. Watch it here: 👉 https://lnkd.in/gTQJVPRK What’s the most frustrating thread-state issue you’ve had to debug recently? Let’s discuss below! 👇 #Java #Concurrency #MultiThreading #BackendDevelopment #SoftwareEngineering #CareerGrowth #BackendSimplified

Day 2 of #LeetCodeDailyChallenge Showing up again — because consistency builds confidence. Today’s problem: Add Two Numbers 📌 Topic: Linked List ⚡ Difficulty: Medium What I focused on today: Traversing two linked lists together step-by-step Managing carry without breaking the flow Creating a result list dynamically while iterating Handling tricky edge cases (unequal lengths & leftover carry) This problem really helped me understand how small details (like carry) can impact the overall logic. Every day isn’t about solving something big — sometimes it's about understanding something better than yesterday. #DSA #LeetCode #Java #LinkedList #ProblemSolving #Consistency #LearningInPublic