Senior iOS Engineer. Writing about mobile architecture, engineering trade-offs, AI tools, and the realities of building software in production.
Software Engineering
I recently got pulled into a project that was technically “finished.” The app worked, the flows worked, and the subscriptions worked. But the founder still didn’t feel safe releasing it, and honestly… I understood why almost immediately. The app had been built pretty quickly by a couple of junior
Software Engineering
A few years ago, writing code itself was one of the main bottlenecks in software development. Implementation took time. Boilerplate took time. Research took time. Even translating ideas into working code was expensive. Today, that’s changed. Generating code is easier than ever. You can scaffold features in minutes, generate
Software Engineering
One thing I’ve learned working on production systems over the years is that good engineering is rarely about following principles perfectly. Because real-world development constantly puts principles in conflict with each other. YAGNI. KISS. DRY. SOLID. They all make sense individually. Until deadlines, legacy systems, unstable requirements, production pressure,
Software Engineering
I used to think this was a binary choice. Either you ship fast or you do it right. In reality, it’s almost never that clean. Most real-world projects don’t give you the luxury of perfect decisions. You’re dealing with: * Deadlines that won’t move * Backend dependencies that
iOS
I’ve lost count of how many times I’ve joined a project and thought: “Okay… this is going to take a minute.” No docs. Weird naming. Logic scattered everywhere. And bugs that don’t make sense at first glance. And honestly… I’ve been on the other side of
iOS
Most decisions are not clean. You don’t always have time to design things properly. You don’t always get a stable backend. You don’t always get clear requirements. And still... you’re expected to ship. So the job is not to make perfect decisions. It’s to make
Artificial Intelligence
I started noticing something uncomfortable while using Cursor. I wasn’t just using AI tools, I was burning through tokens way faster than expected. At first, I justified it as part of the productivity boost, but once I looked at my usage stats, it was clear something was off. I