🔍 𝐌𝐲 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨 𝐝𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐡𝐚𝐫𝐝 𝐛𝐮𝐠𝐬 When I’m completely stuck, this is what I do: • Reproduce the bug first — no guesses • Look at logs & data, not assumptions • Trace the flow like I didn’t write the code • Check edge cases & async behavior • Change one thing at a time • Fix it — then add tests so it never comes back 💡 Biggest lesson: Debugging isn’t about being smart. It’s about being patient and systematic. What’s your go-to debugging trick? 👇 #SoftwareDeveloper #Debugging #SoftwareEngineering #ProblemSolving #TechCareers
Debugging Tricks for Software Developers
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Debugging gets easier when you follow a simple routine. Start by reproducing the issue. If you cannot see the problem again, fixing it becomes guesswork. Check the logs early. Most answers are already written there. Break the problem into smaller steps. Find the exact stage where things start going wrong. Test with small data first. It helps you move faster and spot issues clearly. Write down what you learn. The same bug often comes back in a new form. Debugging is less about luck and more about a repeatable process. What is the first thing you do when something breaks? #DataEngineering #Debugging #ETL #CareerGrowth
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Debugging feels like a black hole of time, a relentless pursuit of tiny errors. The common advice to "just be more methodical" often misses the mark; we are methodical, but inefficiently so. Insight: Stop guessing what the bug might be and focus on what you know*. The Fix: Before diving into code, write down what you expect to happen, what actually* happened, and the minimal input that triggers it. This focused observation is your most powerful tool. #SoftwareEngineering #Debugging
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Same codebase. Same bug. But sometimes it takes 5 minutes, sometimes 5 hours. Over time, I’ve realized that bug complexity is not the real problem. The real difference comes from: -How well you understand the system -How quickly you trace logs -How clearly you isolate the root cause Writing code is easy. Debugging exposes how deeply you actually understand the application. Experience is built in debugging, not in writing more lines of code. 👉 What usually slows you down the most while debugging? #SoftwareEngineering #Debugging #DeveloperExperience #ProblemSolving
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🛠 Debugging Truth Every Developer Should Know Here’s the hard truth: 99% of production issues come from assumptions, not syntax errors. Over the years, I’ve learned that the most effective way to prevent hidden bugs is to: 🔹 Ask questions early and often 🔹 Log extensively at every step 🔹 Validate inputs rigorously These small habits save hours (sometimes days) of firefighting later. 💬 I’m curious—what’s the trick you swear by for catching hidden bugs before they become production nightmares? Let’s exchange ideas! #SoftwareEngineering #FullStackDevelopment #CodingTips #TechCareers
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𝗧𝗵𝗲 𝗳𝗮𝘀𝘁𝗲𝘀𝘁 𝗳𝗶𝘅 𝘄𝗲 𝘀𝗵𝗶𝗽𝗽𝗲𝗱 𝘄𝗮𝘀 𝗱𝗲𝗹𝗲𝘁𝗶𝗻𝗴 𝗰𝗼𝗱𝗲. We had a bug that refused to die. Weeks of debugging. Logs everywhere. Retries on retries. Every “fix” made the system 𝗺𝗼𝗿𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅… and somehow worse. Then one day, someone asked a simple question: “𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗰𝗼𝗱𝗲 𝗲𝘃𝗲𝗻 𝗲𝘅𝗶𝘀𝘁?” Silence. That piece of logic was added months ago to handle a case that 𝗻𝗲𝘃𝗲𝗿 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱. We removed it. No refactor. No rewrite. No new framework. The bug disappeared. Lesson learned the hard way: Most systems don’t fail because they’re too simple. They fail because they’re 𝗼𝘃𝗲𝗿-𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱. Sometimes the best optimization isn’t adding code. It’s having the courage to delete it. Less code. Fewer assumptions. More stability. #SoftwareEngineering #BackendEngineering #SystemDesign #Debugging #DeveloperLife #TechLessons
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Changing code doesn’t always reveal why something behaves the way it does Debugging is often assumed to be an active process. Something feels off, so you change the code. You add a condition. You adjust a flow. You wait for the behavior to change and hope the system explains itself in response. But systems don’t always work that way. Sometimes nothing is crashing. Nothing is clearly broken. The behavior is just unexpected. And changing code only adds more movement without adding clarity. Understanding, in those moments, doesn’t come from intervention. It comes from observation. Watching how requests move through the system. Noticing what tends to happen before things feel off. Paying attention to timing, ordering, and repetition. The behavior stays consistent long enough for patterns to surface, if you let it. That’s usually when logs start to matter in a different way. Not as something you add in panic, but as something that quietly shows what the system has been doing all along. Ordinary lines. Repeated flows. Small gaps that only stand out once you stop trying to fix them away. Changing code can alter behavior. But understanding often comes from watching it first. Read here: https://lnkd.in/gNC9yeSw #Debugging #SoftwareEngineering #SystemsThinking #Observability #LearningInPublic
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One small mistake taught me a big lesson. Last week, an API issue looked like a partner problem. Later, we found the real cause — a missing configuration in our own production setup. The API was fine. Our setup wasn’t. It reminded me that in real projects, debugging is not only about code. It’s about environment, configs and assumptions we make. Have you ever chased a bug that wasn’t actually in the code?
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Debugging used to frustrate me. Over time, I realized it teaches something deeper than syntax: 👉 Patience and clarity of thought Every bug forced me to: * Question assumptions * Slow down * Understand the system better Fixing bugs isn’t a setback—it’s part of growth. What has debugging taught you? 👇 #Debugging #DeveloperJourney #LearningInPublic #SoftwareDeveloper
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One simple rule can save hours of pointless debugging. I once spent hours debugging code that was never broken - the environment was. I should have followed a simple rule: If a test fails, re-run it once. Not to ignore the failure. Not to force a green build. But to classify the problem. If it fails again → it’s a real issue. Fix it. If it passes → you’ve uncovered flakiness or infra instability. Fix that. Blind debugging wastes time. Blind trust in tests wastes even more. So don’t blindly chase failures. First, understand what kind of failure it is. #SoftwareEngineering #Testing #EngineeringLessons
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𝗦𝘁𝗼𝗽 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗿𝗮𝗻𝗱𝗼𝗺 𝗹𝗶𝗻𝗲𝘀 𝗼𝗳 𝗰𝗼𝗱𝗲 𝗵𝗼𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗯𝘂𝗴 𝗱𝗶𝘀𝗮𝗽𝗽𝗲𝗮𝗿𝘀. 𝗧𝗵𝗮𝘁 𝗶𝘀𝗻’𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴. I once spent 4 hours fixing a “simple” bug. I was panic-coding. Changed a variable. Refresh. Didn’t work. Added a console.log. Refresh. Didn’t work. Rewrote the function. Refresh. Crashed. That’s when I realized I was using the 𝗦𝗵𝗼𝘁𝗴𝘂𝗻 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 — firing everywhere and hoping something hits. Good debugging requires being a Sniper, not a gambler. Here’s the 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝗲𝗮𝗿𝗰𝗵 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 I now follow:🚀 ✅ 𝗥𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗲 𝗳𝗶𝗿𝘀𝘁, 𝗳𝗶𝘅 𝗹𝗮𝘁𝗲𝗿 If you can’t make the bug happen consistently, you can’t fix it. Find the exact sequence of actions that breaks the system. ✅ 𝗜𝘀𝗼𝗹𝗮𝘁𝗲 𝘁𝗵𝗲 𝗯𝗹𝗮𝘀𝘁 𝗿𝗮𝗱𝗶𝘂𝘀 Don’t read 500 lines of code. Comment out half the file. Bug still exists? → It’s in the remaining half. Bug gone? → It was in the code you hid. Repeat until you’re left with the 5 lines that actually matter. ✅ 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗲𝗿𝗿𝗼𝗿 (𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗿𝗲𝗮𝗱 𝗶𝘁) Most juniors see red text and jump to StackOverflow. Experienced engineers read the stack trace. The computer is literally telling you what’s wrong: 𝗖𝗮𝗻𝗻𝗼𝘁 𝗿𝗲𝗮𝗱 𝗽𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗼𝗳 𝘂𝗻𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝘛𝘳𝘶𝘴𝘵 𝘵𝘩𝘦 𝘭𝘰𝘨𝘴. 𝘋𝘦𝘣𝘶𝘨𝘨𝘪𝘯𝘨 𝘪𝘴 10% 𝘴𝘺𝘯𝘵𝘢𝘹 𝘢𝘯𝘥 90% 𝘴𝘵𝘢𝘺𝘪𝘯𝘨 𝘤𝘢𝘭𝘮. 𝘋𝘰𝘯’𝘵 𝘭𝘦𝘵 𝘵𝘩𝘦 𝘣𝘶𝘨 𝘱𝘢𝘯𝘪𝘤 𝘺𝘰𝘶. 𝘐𝘴𝘰𝘭𝘢𝘵𝘦 𝘪𝘵. 𝘛𝘳𝘢𝘱 𝘪𝘵. 𝘚𝘲𝘶𝘢𝘴𝘩 𝘪𝘵. Building things that matter! Pranjal Agarwal #Engineering #Debugging #SDE #Mindset #CareerGrowth #Programming #Productivity
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