Posts

The Silent Killer of Technical Content You know that moment when you stumble upon a documentation page, start reading, and by paragraph three your eyes glaze over? You’re not alone. Somewhere in a Slack channel right now, a developer is typing: “Has anyone read this docs? I’m so lost.” The brutal truth: most technical content fails not because it’s incorrect, but because it forgets that humans—actual, tired, impatient humans—will be reading it....

We’ve all been there. It’s 2 AM, your deadline is in 6 hours, and you need to parse a JSON response in a way that’s just slightly off from what Google tells you is standard. You open Stack Overflow in a new tab, find exactly what you need, copy-paste it into your codebase, and move on with your life. Fifteen developers in your company do the same thing every week. Then, five years later, during due diligence for a funding round—or worse, a lawsuit threat—someone discovers that the code snippet you borrowed from Stack Overflow is actually derivative work from a GPL-licensed project....

If you’ve ever built a web application that needed to send emails, process images, or generate reports without hanging your users’ browsers, you’ve encountered the background job problem. And if you haven’t yet—congratulations, you’re still in the honeymoon phase of web development. The truth is, background job processing is one of those unsexy infrastructure problems that separates hobby projects from production systems. Get it right, and your users never notice. Get it wrong, and you’re at 3 AM debugging why all your scheduled reports vanished into the void after a deployment....

We love to talk about technical debt. It’s the monster under our bed, the thing we blame for slow sprints and frustrated developers. “We need to refactor,” we cry. “The codebase is a mess!” we protest in retrospectives. But here’s the uncomfortable truth that nobody at your last architecture meeting wanted to hear: sometimes the real culprit isn’t the quick fixes and shortcuts. Sometimes it’s the opposite—it’s the thing we built that’s too damn good for what it actually needed to do....

Why Your User Space Rate Limiter Is Probably Crying If you’ve ever tried to implement rate limiting in user space, you know the feeling. Packets arrive at the network interface, traverse through several kernel layers, bounce around in syscall overhead, and by the time your beautifully crafted rate limiting logic gets a chance to inspect them, you’ve already lost the performance battle. It’s like trying to stop a tsunami with a garden hose while wearing roller skates....