Reproduce Bug Locally Before Fixing

A simple habit that made me a better developer. Writing the test before fixing the bug. I used to fix bugs first, then write tests after. Sometimes I skipped the test entirely. Now I do it differently: 1. Find the bug. 2. Write a test that fails because of the bug. 3. Fix the bug. 4. Watch the test pass. Why this works: You prove the bug exists before touching code. You prove the fix actually works. You prevent the same bug from coming back. One small change in order. Big improvement in code quality. Takes 5 extra minutes. Saves hours of rework later. What habit improved your code quality? #Java #Programming #Testing #SoftwareDevelopment #CodeQuality

Most bugs don’t come from complex logic. They come from 𝘄𝗿𝗼𝗻𝗴 𝗮𝘀𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻𝘀. Conditional statements exist to make decisions explicit. When you write 𝒊𝒇, 𝒆𝒍𝒔𝒆, or 𝒔𝒘𝒊𝒕𝒄𝒉, you’re telling the program: 𝘰𝘯𝘭𝘺 𝘰𝘯𝘦 𝘰𝘧 𝘵𝘩𝘦𝘴𝘦 𝘱𝘢𝘵𝘩𝘴 𝘴𝘩𝘰𝘶𝘭𝘥 𝘳𝘶𝘯. The mistake beginners make is focusing on syntax instead of 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀. A condition is not a line of code. It’s a statement about reality. Poor conditions lead to: • Unreachable code • Unexpected branches • Logic that “works” until edge cases appear Java pushes clarity here. Conditions must be boolean. No hidden truthy or falsy values. No ambiguity. That strictness forces better thinking. Today was about: • Writing clear and precise conditions • Understanding how control flow changes execution • Why explicit branching reduces bugs Readable decisions create reliable software. #Java #ControlFlow #CleanCode #Programming #SoftwareEngineering #LearningInPublic

Quick Tip Stop writing try-catch blocks everywhere You know that feeling when you're dealing with null values and end up with nested try-catch blocks everywhere? Yeah, let's talk about a better way. Instead of catching exceptions left and right, try using Optional. It's a cleaner approach that makes your code more readable and safer. Here's the thing: Optional forces you to think about what happens when a value might not exist. You handle it explicitly, no surprises in production. A few benefits: - Less boilerplate code - Better null safety - Easier to test and maintain - Your future self will thank you So next time you're about to write another try-catch block, pause and ask: "Could Optional solve this more elegantly?" Your code will be cleaner, safer, and easier for your team to understand. What's your take on this? Do you use Optional in your projects? #Java #SoftwareDevelopment #CleanCode #Programming

When I need to prototype a snippet of Java logic on the fly, the ability to type a full block and have JShell wait for the closing brace before evaluating becomes a silent productivity engine that mirrors the iterative problem solving cycles we face in modern software projects. JShell’s multi line blocks let me treat the REPL as a sandboxed method body, preserving scope and imports while I experiment with control flow, exception handling, or API usage. That engineering mindset—building, testing, and refining in incremental steps—translates directly to larger system design, where early feedback reduces risk and accelerates delivery. What strategies have you adopted to turn REPL experimentation into reliable production patterns? I continue to embed rapid prototyping into my development rhythm, positioning myself as a catalyst for agile, high quality software delivery. #JShell #Java #RapidPrototyping #SoftwareEngineering #Productivity

Debugging isn’t just part of the job. It’s detective work. 🕵️♂️ You have suspects (recent code changes), clues (logs and stack traces), and that moment when you stare at the code thinking: “Okay… which one of you is lying?” 😅 After a few years with Java, I’ve learned this: debugging isn’t about randomly dropping breakpoints and hoping for luck. It’s about placing the right breakpoints, following the flow calmly, and keeping focus when the bug is hiding somewhere between an if statement and “but it worked yesterday”. And yes — sometimes you spend an hour just to find one wrong character. Annoying? Absolutely. But those moments teach you how to think, not just how to code. 💻 So what is debugging for you — detective work, meditation, or a horror movie? 👇 Would love to hear your stories. #Java #Debugging #CodingLife #SoftwareDevelopment #TechCommunity

Just shipped upkeep - a CLI for JS/TS project maintenance Tired of: - `npm outdated` returning 50 packages - `npm audit` with no context on what matters - Projects slowly rotting while you ship features upkeep gives you: - Single command health check (`upkeep quality`) - Risk assessment before upgrades (`upkeep risk lodash`) - AST-based import analysis (`upkeep imports react`) And if you use Claude Code, there are skills that turn maintenance into an AI-assisted conversation. Would love feedback! #ClaudeCode #Programming #TypeScript

🔁 Iteration to Traverse Collections 🔹 Iteration means accessing elements one by one without using indexes. 📌 Not all collections are index-based (like Set, Queue), so Java needed a common and safe way to traverse all collections. 👉 That’s why Iterator exists. 🧠 Why Iterator was introduced ✅ Safe traversal without indexes ✅ Allows safe removal while iterating ✅ Works uniformly across all collections ⚙️ How Iterator actually works (correct mental model) Cursor starts before the first element hasNext() → checks if an element exists ahead next() → moves cursor forward and returns the element 📌 Why ListIterator was introduced Because List is index-based and needed more power. 🚀 Extra capabilities of ListIterator 🔁 Traverse forward and backward 📍 Knows current index ➕ add() elements during iteration ✏️ set() (replace) elements ❌ remove() safely 👉 That’s why ListIterator exists only for List. ⚠️ Calling previous() when no previous element exists → ❌ NoSuchElementException 🧩 Final takeaway 👉 Iterator → safe traversal & removal without indexes 👉 ListIterator → bidirectional traversal + modification support for Lists 🔖Frontlines EduTech (FLM) #Java #CoreJava #Iterator #ListIterator #BackendDevelopment #Programming #CleanCode #ResourceManagement #AustraliaJobs #SwitzerlandJobs #NewZealandJobs #USJobs #CollectionsFramework

🔸 Things Every Developer Dislikes 1️⃣ Change requests right before production deployment 2️⃣ Too many tickets, unclear requirements, and constant follow-ups for updates 3️⃣ Random calls that break focus, especially when a simple message would do 4️⃣ Standup calls that go beyond 15 minutes 5️⃣ Solving a LeetCode Medium and people saying it should be labeled “Easy” 6️⃣ Rude or condescending PR comments #javascript #technology #softwaredevelopment #userexperience #developer #leetcode #programming #ig

Day 1/30 – Clean Code for Developers In development, code is rarely written once. It is read, debugged, extended and maintained for years. That’s why clean code is not optional, it’s essential. 🔹 Some clean code principles I follow: - Use meaningful class & method names (calculatePremium() > calc()) - Keep services focused on one responsibility - Avoid God classes with hundreds of lines - Prefer readability over clever one liners 💡 Clean code leads to: - Faster debugging - Easier onboarding for new developers - Fewer production bugs As Robert Martin says: “Clean code always looks like it was written by someone who cares.” Writing clean code today saves hours of pain tomorrow. What’s one clean code rule you never break? Do Comment below 👇 #Day1 #30DaysOfIdea #Developer #BackendDevelopment #CleanCode #SpringBoot #java #programming

One of the best things about Go is 𝗴𝗼 𝗯𝘂𝗶𝗹𝗱. You get a single, static binary that runs anywhere. No dependency hell, no "installing the JVM." But if it’s native machine code, why do we keep talking about the 𝗚𝗼 𝗥𝘂𝗻𝘁𝗶𝗺𝗲? Here is the secret: Go doesn't rely on an external runtime (like Java relies on the JVM installed on your OS). Instead, it embeds the runtime directly into your binary. Think of it like packing a mini-operating system inside your application. This invisible workhorse handles the heavy lifting so you don’t have to:   • 𝗚𝗮𝗿𝗯𝗮𝗴𝗲 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻: It automatically cleans up memory (unlike C/C++ where you manage every byte).   • 𝗚𝗼𝗿𝗼𝘂𝘁𝗶𝗻𝗲 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴: The runtime acts as a traffic cop, multiplexing thousands of lightweight Goroutines onto a handful of OS threads.   • 𝗦𝘁𝗮𝗰𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: It dynamically grows and shrinks stack sizes as needed. 𝗧𝗵𝗲 𝗧𝗿𝗮𝗱𝗲-𝗼𝗳𝗳? Your "Hello World" binary is larger than a C equivalent because it’s carrying this luggage. 𝗧𝗵𝗲 𝗪𝗶𝗻? You get the performance of compiled code with the developer experience of a dynamic language. The Go binary isn't just your code; it's your code plus the engine required to run it efficiently. Does your project require the control of manual memory management (Rust/C) or the ease of a runtime (Go/Java)? #Golang #SoftwareEngineering #BackendDevelopment #Programming #Tech