5 Debugging Techniques for Developers

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

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

One debugging habit that saves me hours. Reproduce the bug locally before touching any code. I used to jump straight into fixing. Read the error, guess the cause, start changing things. Sometimes it worked. Most times it made things worse. Now I follow a simple rule: If I can't reproduce it, I can't fix it properly. Steps I follow: 1. Get the exact input that caused the issue. 2. Run it locally with the same data. 3. Watch it fail with my own eyes. 4. Then start debugging. This one habit cut my debugging time in half. No more guessing. No more "works on my machine." The fix becomes obvious once you can see the problem happening. What debugging habit has saved you the most time? #Programming #Debugging #Java #SoftwareDevelopment #Developer

Small code style decisions matter more than we think. One habit I’ve consciously adopted in my backend work is avoiding wildcard imports and keeping imports explicit. Why it matters: - Improves readability for reviewers - Makes dependencies clear at a glance - Reduces accidental coupling - Avoids surprises during refactoring - Keeps diffs clean and predictable Tools help, such as IDEs and linters, but consistency is a team discipline. Over time, I’ve realized that senior engineering isn’t about writing more code; it’s about writing code that’s easier to understand, review, and maintain. #Java #BackendDevelopment #CleanCode #SoftwareEngineering #CodeQuality #EngineeringPractices #LearningInPublic

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

I experimented with vibe coding using Claude and built a small end-to-end SDET-style automation project. Simple BE + FE app → Docker Compose → Playwright in Docker → GitHub Actions CI. Video walkthrough: https://lnkd.in/guSY_8HM Repo: https://lnkd.in/g2Stt_Qm How I approached it: Described the target architecture + stack to the LLM (FastAPI, Python, SQLite, React) Asked it to generate an action plan Split the plan into modules Turned each module into a separate instruction file and implemented step by step You can follow it in two ways: Feed the module instruction files to an LLM (Claude Code works well) Or follow the instructions yourself and use the LLM only when you’re stuck (better for learning) Instruction files are available on Patreon (plan + Module1–Module7). https://lnkd.in/gUZ2YWUQ This is roughly how I see modern SDET-level automation evolving: less boilerplate, more system thinking, still owning CI, containers, and test strategy. Curious how others are using LLMs in real automation work. #SDET #QAAutomation #Playwright #Docker #GitHubActions #FastAPI #React #AIcoding #Claude

That 0ms runtime is a developer’s version of a perfect cup of coffee. I just tackled the Reverse Linked List challenge on LeetCode, and there’s something incredibly satisfying about hitting that 100% Beats mark. It’s not just about solving the problem; it’s about writing code that’s lean, efficient, and readable. In this case, a simple iterative approach with a three-pointer technique did the trick: * Time Complexity: O(n) — we visit each node exactly once. * Space Complexity: O(1) — no extra memory, just shifting pointers. It's a reminder that sometimes the most straightforward logic is the most powerful. How are your coding challenges going this week? Any "0ms" wins lately? Let’s connect and grow together! #LeetCode #Java #DataStructures #CodingLife #SoftwareEngineering #CleanCode

I just spent 3 hours debugging code that worked perfectly yesterday. The culprit? A single semicolon I deleted while "cleaning up" my code. Here's what I learned (the hard way): 🔹 "If it ain't broke, don't fix it" exists for a reason 🔹 Git commits are your best friend - commit early, commit often 🔹 Never trust "just a quick cleanup" before a deadline 🔹 Sometimes the smallest changes break everything The funny part? My error message was completely unhelpful. Stack Overflow had 47 different solutions. None of them worked. Then I did what every programmer eventually does... I stared at my screen for 20 minutes, questioned my life choices, and finally ran a diff check. One. Missing. Semicolon. 💡 Pro tip: Before you spend hours debugging, check if you accidentally deleted something during your last "improvement." Fellow developers - what's the smallest bug that's cost you the most time? #Programming #SoftwareDevelopment #CodingLife #DeveloperHumor #TechLife #LearnToCode

🚀 Day 54 of my #60DaysTechChallenge Why Debugging Skills Matter More Than Writing Perfect Code No code is perfect on the first try. What really matters is how quickly and clearly we can find and fix issues. 🔹 Bugs are part of real-world development 🔹 Debugging builds strong problem-solving skills 🔹 It helps understand code flow and logic deeply 🔹 Clean debugging saves time and reduces future errors Good developers don’t write error-free code every time. They know how to debug efficiently and improve their solutions. 📌 Writing code is important. Debugging makes it reliable. #Day54 #Debugging #SoftwareDevelopment #LearningByBuilding #FullStackDeveloper #Java #60DaysChallenge

Debugging: A Daily Reality for Developers “Debugging: Being the detective in a crime movie where you are also the murderer.” Every developer knows this feeling 😄 From HTML to JavaScript, from logic errors to server issues — debugging is not just a task, it’s a mindset. It teaches: ✔️ Patience ✔️ Problem-solving ✔️ Attention to detail ✔️ And humility (yes, the bug was yours 😅) Behind every smooth-running system is a long story of bugs fixed, coffee consumed, and lessons learned. To all developers, engineers, and problem-solvers — keep debugging, keep building. 🚀 #Debugging #ProgrammingLife #SoftwareDevelopment #WebDevelopment #Developers #TechHumor #CodingLife #ProblemSolving #ITLife