There’s a special kind of satisfaction in fixing a problem properly. Not: - hiding it - postponing it - patching it for now - seeing it return two sprints later I mean the kind of fix where: - the root cause is understood - the system is improved - the edge case is covered - the logs make sense - the issue stays gone That’s the real flex. Some wins are loud. This one is quiet - but every engineer knows how good it feels. Share this if you’ve ever fixed something once and watched it disappear for good. #DevMeme #EngineeringLife #SoftwareEngineering #DevLife #CleanFixes
Lukenge Benard’s Post
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One thing I’m learning from working on production issues: Fixing the problem is not enough. Recently worked on an issue where the immediate fix solved it—but the root cause was deeper in how the system was handling edge cases. What changed for me: → Started focusing more on root cause, not just quick fixes → Paying attention to how different components interact → Thinking about long-term stability, not just immediate resolution Still improving, but this shift in thinking is already changing how I approach problems. Curious how others approach debugging beyond the obvious fix. #LovelyOnTech
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Most formal verification tools stop at "proof generated." The hard part — compiling that proof into production code — gets left as an exercise for the reader. Today we shipped async task tracking for proof compilation jobs. You can now monitor long-running formal verification builds in real time instead of waiting blind. We also added persistent caching to the build pipeline. Cold starts hit faster. The proof export path for C, Rust, and WebAssembly runs cleaner with better queueing and progress monitoring. Individually, small changes. Together, they close the gap between "mathematically verified" and "actually running in production." #FormalVerification #AgentPMT #DevUpdate#FormalVerification #AgentPMT #DevUpdate
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Every developer knows the feeling: something works perfectly in your environment but fails elsewhere. Enter cache invalidation, the silent disruptor that can turn a smooth deployment into a debugging nightmare. This meme reminds us that while 'It works on my machine' is a common refrain, it’s not always the full story. Cache issues can lurk beneath the surface, affecting performance and user experience. Let’s embrace this as a reminder to test thoroughly across environments and consider cache management early in our development process. When cache invalidation joins your meeting—software's version of 'It works on my machine.' #DevLife #SoftwareDevelopment #CacheManagement #Debugging #TechMemes #EngineeringHumor
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Remember the time someone glued their CTRL key back on and held it down during the process? It’s a classic example of how quick fixes can lead to unexpected consequences. In engineering and development, it’s crucial to consider all potential impacts before implementing solutions. Whether it’s hardware or software, always ensure your actions don’t inadvertently alter functionality. This meme serves as a reminder to test thoroughly and avoid assumptions when dealing with system changes. When you think superglue is the solution, but it’s not just the key that’s stuck. #EngineeringHumor #TechMemes #SoftwareDevelopment #HardwareIssues #TestingBestPractices #DevLife
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Stop overcomplicating Debugging production issues — systematic approaches that work. I've reviewed hundreds of implementations. The best ones? Dead simple. The pattern: - Start with the boring solution - Measure actual bottlenecks - Only then add complexity Premature optimization is real, and it kills projects. What's the simplest solution you've shipped that just worked? #SoftwareEngineering #CodingLife #TechLeadership
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Everyone keeps telling founders: stay out of engineering. Your job is strategy. If you're in the code — you're micromanaging. I mostly agree. It's not my domain. But I have a specific problem with "that's too complex" when there's no explanation of why. We've been working on observability for our platform. The feedback I keep getting: detailed logging will hurt the orchestrator under load. Fair point. But somehow that turns into — let's just build something smaller than what we actually need. Not a workaround. Just smaller ambitions. Different story with MCP Server for our platform. I didn't ask anyone. Spent a few evenings with Claude Code, built it on our team's stack from scratch, brought a repo and a working demo. They're integrating it now. I know what this isn't. It's not architecture. It's not production-ready security. It's not a replacement for engineers who actually know what they're doing. But sometimes the blocker isn't technical. It's the assumption that something is hard before anyone tried. I'm still not sure where exactly the line is. Probably closer than I'd like on some things. When was the last time you built something just to prove it could work? #RPA #FounderLife #ProductDevelopment #EngineeringCulture #Automation
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What’s the longest you’ve spent debugging a production issue that ended up being a one-line fix? For me, it was 4 hours. A missing *await* in an async function caused an issue that didn’t show up until 6 services downstream. It felt like chasing a ghost through the system! Moments like these are both humbling and educational. They remind us: • How small oversights can ripple through complex architectures • The importance of clear error handling and logging • Why a calm, methodical approach saves the day We’ve all been there—those moments when you finally spot the fix and can’t decide whether to laugh or cry. What’s *your* most memorable debugging story? Let’s hear it! 🛠️ #SoftwareEngineering #Debugging #TechStories #DevTools #APM #production
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Refactoring the Mind. 💻✨ In engineering, we spend hours optimizing code and clearing technical debt. But how often do we apply that same logic to our own mental processes? "The most difficult cleaning" is clearing out the old patterns, doubts, and mental clutter to make room for new logic and fresh perspectives. Taking the time to reset isn't a distraction from the work; it is the work. Don't forget to clear your internal cache today. 🧹🧠 #SoftwareEngineering #GrowthMindset #MentalClarity #TechLife #Refactoring #CareerDevelopment
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Studies show that the cost of fixing a bug in Production can be up to 100 times higher than catching it during the coding phase. When facing tight deadlines, it’s always tempting to skip writing tests. As long as the feature works and the client demo goes smoothly, it feels "good enough." But as a project scales and business logic gets more complex, a codebase without test coverage quickly turns into massive technical debt. In reality, the greatest value of testing isn't just finding bugs. It’s the safety net that allows engineers to confidently refactor code without the fear of breaking existing features. It's the foundation that lets the entire team sleep well before a major deployment. Saving a few hours on testing today can easily burn thousands of dollars tomorrow in maintenance costs. In our latest blog post at Linnoedge, we break down this cost of defect and discuss why a solid testing culture is a matter of survival for scaling systems. Read the full article in the comment below and let us know your thoughts! 👇 #SoftwareEngineering #SoftwareTesting #TechDebt #CleanCode #Linnoedge #TechLeadership
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Last Fall, I added a stride scheduler to the xv6 operating system, to get a better understanding of scheduling disciplines. While testing, I found a condition that led to an apparent system hang at startup. I implemented an unsatisfying workaround at the time because I was focused on something a bit different. I decided I'd get back to it later. And, I finally did! A few days ago, I spent some time digging into the issue, and then I wrote up what I found in a blog post. Like a lot of fun problems, the fix was quite simple in the end. If you're interested in some of the interesting challenges of debugging code that doesn't follow the usual top-to-bottom execution flow of synchronous code, you might enjoy the post. https://lnkd.in/ejVaUxWa
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