Ideas, Experiments, and Lessons Learned
How It Started As a backend developer, I used to treat every side project like a potential unicorn startup. I’d spin up a microservice architecture, integrate a message broker, add caching layers, and set up CI/CD pipelines — for a project that might never see a production user. It wasn’t just excitement; it was a…
The Early Days of Over-Engineering When I first started building backend systems, I fell in love with architecture diagrams. Hexagonal design, CQRS, event sourcing—you name it, I tried to fit it into every project I touched. It made me feel like I was building something truly scalable and elegant. But in reality, I was creating…
I’ve been revisiting some of my older codebases lately, and something keeps hitting me: most of the problems I solved didn’t need to be solved at all. Looking back at thousands of lines I once thought were genius architecture, I now see complexity that actively hurt the systems I was building. The Engineering Ego Trap…
I’ve been revisiting some of my older codebases lately, and something keeps hitting me: most of the problems I solved didn’t need to be solved at all. Looking back at thousands of lines I once thought were genius architecture, I now see complexity that actively hurt the systems I was building. The Engineering Ego Trap…
Rethinking What ‘MVP’ Even Means For years, I bought into the traditional interpretation of an MVP — a quick, stripped-down version of the product meant to validate the idea. Build it fast, ship it, collect data, iterate. It sounds great in theory, but in practice, I found myself building things that looked like half-baked products…
How It All Started For years, I fell into the classic trap of over-engineering my backend APIs. Every project began with ambition: perfect abstractions, layered architecture, and all the design patterns I had recently read about. It looked stunning in theory, but in practice — the complexity became a nightmare. It wasn’t that these patterns…
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