Deleted 2000 lines of Java code, improved performance by 40%

𝗖𝗼𝗱𝗲 𝗶𝘀 𝗲𝗮𝘀𝘆, 𝗰𝗹𝗮𝗿𝗶𝘁𝘆 𝗶𝘀 𝗵𝗮𝗿𝗱: As I grow in my software journey, I’m realizing — writing code is the simplest part of the job. The real challenge? * Understanding the why behind every line. Every bug, every review, every architecture discussion teaches me that clean code isn’t just about syntax — it’s about clarity, collaboration, and scalability. My focus now is not just solving problems, but solving them the right way — with intent, patterns, and purpose. • Clean code is not written faster — it lasts longer. #SoftwareEngineering #Java #CleanCode #CareerGrowth #SystemDesign

🚀 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗦𝗢𝗟𝗜𝗗 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮 – 𝗔 𝗦𝘁𝗲𝗽 𝗧𝗼𝘄𝗮𝗿𝗱 𝗖𝗹𝗲𝗮𝗻, 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗖𝗼𝗱𝗲 As developers, we often focus on what our code does — but great engineering is also about how our code evolves*. That’s where SOLID principles come in — guiding us to write cleaner, more maintainable, and extensible Java applications. 💡 In my latest resource (📄 attached below), I’ve summarized each of the SOLID principles with simple Java examples and practical takeaways: 1️⃣ 𝗦 – 𝗦𝗶𝗻𝗴𝗹𝗲 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Every class should have one and only one reason to change. 2️⃣ 𝗢 – 𝗢𝗽𝗲𝗻/𝗖𝗹𝗼𝘀𝗲𝗱 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Code should be open for extension but closed for modification. 3️⃣ 𝗟 – 𝗟𝗶𝘀𝗸𝗼𝘃 𝗦𝘂𝗯𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Subtypes should be substitutable for their base types. 4️⃣ 𝗜 – 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗦𝗲𝗴𝗿𝗲𝗴𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Don’t force clients to depend on interfaces they don’t use. 5️⃣ 𝗗 – 𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗜𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Depend on abstractions, not concretions. #Java #SOLID #CleanCode #SoftwareEngineering #OOP #DesignPrinciples #CodingBestPractices

🤯 Controversial Take: The Private Field is a Lie, and It's Killing Your Tests. 🧪 If you are a serious C# or Java developer, you were taught to use the private keyword for encapsulation—to hide data and protect the internal state of a class. But here is the brutal truth that separates textbook code from real-world, highly testable code: Blind adherence to private fields is an anti-pattern. The Encapsulation Misinterpretation 🔒 Encapsulation's goal is to protect the object's invariants (its rules and structural integrity), not to hide every single piece of data from the rest of the application. When you make a field private, you gain nothing but pain when it comes time for unit testing: 1. Test Fragility: You are forced to test the internal state by only interacting with public methods. If those public methods are complex, your tests become complex and brittle. 2. Unnecessary Complexity: Developers create awkward, unnecessary public methods (SetInternalStateForTesting()) or use reflection (a hack!) just to check a private field's value after an action. 3. No Isolation: Your test is no longer a simple unit test; it becomes an integration test because you have to run through the entire public API to observe a single internal change. The "Testable" Alternative: Internal or Protected 💡 For logic that must be tested but shouldn't be exposed to the public API of the assembly, internal (or protected for inheritance) is often the superior choice. By exposing fields to your separate Test Assembly (using InternalsVisibleTo in C#), you enable: • Atomic Unit Tests: You can directly assert that a single action correctly modified a single internal field, making your tests precise, fast, and stable. • Faster Development Cycle: You waste zero time writing wrapper methods solely for testing purposes. The GC is your best friend, but you have to write code that allows it to work efficiently. Poorly managed references are the single biggest bottleneck that modern garbage-collected languages face. Agree or Disagree? Is the textbook definition of private ruining developer productivity, or is exposing internal fields a reckless path to chaos? Let the debate begin. 👇 #OOP #Csharp #Java #UnitTesting #CleanCode #SoftwareArchitecture

#CleanCode #SoftwareCraftsmanship #Java #BestPractices Part 14: The Code Quality Ecosystem #14 Clean Code in Practice: Tools and Techniques Clean code isn't just a philosophy—it's a practice backed by tools and processes that ensure maintainability and reduce technical debt. 🛠️ Code Quality Automation: · Static Analysis: SonarQube, Checkstyle, PMD, and SpotBugs integration · Code Formatting: Google Java Format and pre-commit hooks · Dependency Analysis: Maven/Gradle dependency updates and security scanning · Architecture Enforcement: ArchUnit for architectural rule testing 📈 Technical Debt Management: · Debt Tracking: Identifying and quantifying technical debt · Refactoring Strategy: Boy Scout Rule and dedicated refactoring sprints · Code Review Culture: Effective pull request practices and checklists · Knowledge Sharing: Pair programming and mob programming sessions 🎯 Maintainability Metrics: · Cyclomatic Complexity: Keeping methods simple and focused · Testability Indicators: Dependency injection and single responsibility · Documentation Quality: README-driven development and living documentation · Onboarding Time: How quickly can new developers contribute? Code quality isn't a luxury—it's the foundation that allows teams to move fast without breaking things. #CleanCode #SoftwareCraftsmanship #Java #BestPractices

🚀 CLEAN CODE REMINDER: COMMENTS THAT COUNT “Comment the why, not the obvious what—getters, setters, constructors don’t need notes.” When code is self-explanatory, extra comments add noise. Save comments for intent, trade-offs, and surprising decisions: ✅ Explain why a rule exists, a constraint, or a workaround. ✅ Capture domain knowledge, edge cases, and assumptions. ❌ Don’t narrate trivial code (e.g., getters/setters/constructors). Keep it crisp. Let code show the what. Use comments to preserve the why. ✍️ #CleanCode #Java #SpringBoot #Readability #CodeQuality #SoftwareEngineering #DevBestPractices #Refactoring #Comments #Maintainability

Hey everyone 👋 Layers or Domains — Where’s the Sweet Spot? 🤔 Lately, I keep seeing discussions about how to structure a Java project the right way. The classic setup looks like this: controller/ service/ repository/ model/ And it makes sense — everything’s organized, clean, easy to follow. It works great for smaller projects or when you’re just getting things off the ground. But more and more people say: “Don’t separate technically, separate by domain.” So instead of splitting the code by technical layers, you group everything by feature: user/ ┣━ UserController ┣━ UserService ┗━ UserRepository order/ ┣━ OrderController ┣━ OrderService ┗━ OrderRepository This domain-based structure starts to shine in bigger projects. Each module becomes more independent, easier to understand, test, and develop without touching the whole codebase. ⚖️ The Sweet Spot? As always — it depends. Layered architecture is great for clarity and smaller apps. Domain-based makes more sense once things get bigger and you want your code to reflect real business logic. 💬 How about you? Do you stick to layers, domains, or something in between? #Java #SpringBoot #CleanCode #Architecture #DDD #SoftwareDevelopment #Programming

🧹 Writing Clean Code - The Power of Clarity Recently, I’ve been revisiting Clean Code by Robert C. Martin, and it’s been a great reminder of how much craftsmanship goes into writing truly good software. Clean code isn’t just about fewer lines or clever tricks; it’s about writing code that’s readable, maintainable, and intentional. Small habits like using meaningful names, keeping functions focused, and avoiding unnecessary complexity can make a huge difference over time. “If a name requires a comment, then the name does not reveal its intent.” - Uncle Bob I’ve started paying extra attention to these details in my daily work with C#, Java, and TypeScript. Whether it’s choosing clear variable names like customerOrderList instead of data, or breaking a large function into smaller, single-purpose methods, these small improvements make the codebase much easier to work with for everyone on the team. At the end of the day, clean code is about respect for your future self, for your teammates, and for the craft of software development itself. 💡 Curious: What Clean Code principle or habit do you try to apply most in your projects? 👇 #CleanCode #SoftwareCraftsmanship #FullStackDevelopment #Java #C# #CodeQuality #BestPractices

🚀 𝐇𝐢 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲! Have you ever wondered why we so often use the 𝐒𝐢𝐧𝐠𝐥𝐞𝐭𝐨𝐧 𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 in our day-to-day development — for things like managing a single 𝐃𝐁 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧, 𝐜𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐧𝐚𝐠𝐞𝐫, or 𝐥𝐨𝐠𝐠𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦? 🤔 But here’s the real question… 👉 Have you ever looked deep into why the final, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐒𝐢𝐧𝐠𝐥𝐞𝐭𝐨𝐧 looks the way it does — and how it evolved through years of optimization? Let’s take a quick journey 👇 ⚡ 𝐄𝐚𝐠𝐞𝐫 𝐈𝐧𝐢𝐭𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 → Simple but wastes memory 💤 𝐋𝐚𝐳𝐲 𝐈𝐧𝐢𝐭𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 → Efficient but not thread-safe 🔒 𝐓𝐡𝐫𝐞𝐚𝐝-𝐬𝐚𝐟𝐞 𝐒𝐢𝐧𝐠𝐥𝐞𝐭𝐨𝐧 → Safe, but slower due to synchronization 🔁 𝐃𝐨𝐮𝐛𝐥𝐞-𝐂𝐡𝐞𝐜𝐤𝐞𝐝 𝐋𝐨𝐜𝐤𝐢𝐧𝐠 → Better, yet vulnerable to reflection & serialization issues 🧩 𝐁𝐢𝐥𝐥 𝐏𝐮𝐠𝐡 𝐒𝐢𝐧𝐠𝐥𝐞𝐭𝐨𝐧 → Clean & efficient 🏆 𝐄𝐧𝐮𝐦 𝐒𝐢𝐧𝐠𝐥𝐞𝐭𝐨𝐧 → The final form — thread-safe, reflection-proof & serialization-safe Here’s the beauty of the final optimized code 👇 public enum EnumSingleton {   INSTANCE;       public void showMessage() {     System.out.println("Enum Singleton works!");   } } I broke down the complete evolution of the 𝐒𝐢𝐧𝐠𝐥𝐞𝐭𝐨𝐧 𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐚𝐭𝐭𝐞𝐫𝐧 — from basics to the JVM-level magic behind 𝐄𝐧𝐮𝐦 𝐒𝐢𝐧𝐠𝐥𝐞𝐭𝐨𝐧 — in my latest article. 📖 Read here: https://lnkd.in/gMfKMJeS If you love 𝐜𝐨𝐝𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬, 𝐝𝐞𝐬𝐢𝐠𝐧 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬, and 𝐝𝐞𝐞𝐩 𝐝𝐢𝐯𝐞𝐬 𝐢𝐧𝐭𝐨 𝐉𝐚𝐯𝐚 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥𝐬, don’t forget to follow — more tech breakdowns coming soon! 💡 #Java #DesignPatterns #SoftwareEngineering #BackendDevelopment #SpringBoot #CodeOptimization #Developers #Programming #TechCommunity

✅ Today I had an important learning experience while working with payloads in programming. While making a request to my backend, I noticed that the server wasn’t receiving the data as expected. The issue wasn’t the request itself, nor the server it was the payload: the structure of the data I was sending. A small detail made all the difference: The variable name on the frontend didn’t match the one the backend was expecting. This caused the payload to arrive “broken”, without triggering any clear error in the debugger a silent bug. And this reinforced something that many developers consider cliché, but is actually crucial in real-world development: The way we name variables, methods, and routes has a direct impact on the integrity of the payload and on how systems communicate with each other. Here are the takeaways from this experience: 🔹 Payloads are not just “data being sent” they are the language between frontend and backend 🔹 If the names don’t match, the backend simply can’t “understand” the message 🔹 Naming is not aesthetics it’s a contract between parts of the system 🔹 Experience + functional testing = engineering maturity Lesson learned: A well-structured payload begins with clear communication in the code. 🚀 #SpringBoot #Java #Backend #Programming #SoftwareDevelopment #ContinuousLearning

🚀 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗦𝗢𝗟𝗜𝗗 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 𝗶𝗻 𝗝𝗮𝘃𝗮 – 𝗔 𝗦𝘁𝗲𝗽 𝗧𝗼𝘄𝗮𝗿𝗱 𝗖𝗹𝗲𝗮𝗻, 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗖𝗼𝗱𝗲 As developers, we often focus on what our code does — but great engineering is also about how our code evolves*. That’s where SOLID principles come in — guiding us to write cleaner, more maintainable, and extensible Java applications. 💡 In my latest resource (📄 attached below), I’ve summarized each of the SOLID principles with simple Java examples and practical takeaways: 1️⃣ 𝗦 – 𝗦𝗶𝗻𝗴𝗹𝗲 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Every class should have one and only one reason to change. 2️⃣ 𝗢 – 𝗢𝗽𝗲𝗻/𝗖𝗹𝗼𝘀𝗲𝗱 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Code should be open for extension but closed for modification. 3️⃣ 𝗟 – 𝗟𝗶𝘀𝗸𝗼𝘃 𝗦𝘂𝗯𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Subtypes should be substitutable for their base types. 4️⃣ 𝗜 – 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗦𝗲𝗴𝗿𝗲𝗴𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Don’t force clients to depend on interfaces they don’t use. 5️⃣ 𝗗 – 𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗜𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 Depend on abstractions, not concretions. 💬 Whether you’re designing microservices or refining your OOP design, these principles remain the foundation of solid (pun intended 😄) software architecture. 👉 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲 𝗮𝘁𝘁𝗮𝗰𝗵𝗲𝗱 𝗣𝗗𝗙 𝗳𝗼𝗿 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀, 𝗱𝗶𝗮𝗴𝗿𝗮𝗺𝘀, 𝗮𝗻𝗱 𝗲𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗺𝗮𝗸𝗲 𝗲𝗮𝗰𝗵 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 𝗰𝗹𝗶𝗰𝗸. Would love to hear how you apply SOLID in your Java projects — share your thoughts in the comments! Follow Bhuvnesh Yadav for more such contents. #Java #SOLID #CleanCode #SoftwareEngineering #OOP #DesignPrinciples #CodingBestPractices