My Big Mistake When Starting in Development: Over-engineering
Hello everyone! Roberto here. Today I want to sit down for a bit and chat about something that's been on my mind lately, and it's a mistake that, honestly, I think many of us have made, especially when starting out. I'm talking about that urge to over-solve problems, to build solutions that are more complex than necessary. Yes, I'm talking about the dreaded over-engineering. When I started in this web development world, I was truly full of ideas, eager to learn, and above all, with an insatiable thirst to prove I could do 'pro' stuff.
The Dream of Perfect Architecture
I vividly remember my first forays into real projects, or well, what I considered 'real projects' back then. I had this mindset that to be a good developer, you had to create impeccable code, robust architectures, and design patterns that would make even the most experienced engineers tip their hats. Ha! How naive I was. I saw design patterns everywhere, trying to apply them left and right, even when the problem was trivial. If I had to create a simple to-do list, my mind was already spinning on how to implement an observer pattern, dependency injection, and maybe even a dedicated microservice for managing list change notifications. Total nonsense!
My head was buzzing with concepts like SOLID, DRY, KISS, and while I understood them in theory, my practical application was more of a disaster. I thought the more abstract and modular my code was, the better it would be. I spent hours thinking about the 'future scalability' of a function that would only be called once. I believed that the inherent complexity in code was a sign of intelligence and mastery, when in reality, I was creating a monster that was hard to maintain, debug, and, most importantly, hard for me to understand just weeks later.
The First Alarm Bells
The first time I realized something wasn't right was when I had to work on a project that I myself had 'over-engineered' a few months prior. Trying to remember why I had made certain decisions, why I had created that abstract class for something so simple, or why I had separated the business logic into three distinct layers for a page that just displayed a form... it was a nightmare. I felt like an archaeologist trying to decipher Egyptian hieroglyphs, except the hieroglyphs were my own code.
On top of that, development time skyrocketed. What should have been a few hours turned into days, or even weeks, because I was too busy 'designing the perfect solution' instead of 'solving the problem.' And the worst part was when I had to collaborate with others. Explaining my code became a monumental task, and the initial feedback was usually a mix of confusion and questions like: 'Why is this so complicated?' or 'Couldn't we do this more simply?' At first, I took it as a criticism of my 'genius' (yes, again, very naive), but over time, I started to realize they were right.
The Epiphany of Simplicity and Pragmatism
The real revelation came gradually, through various experiences and, above all, by observing more experienced developers. I realized that true mastery isn't in complexity, but in simplicity. Elegant code isn't necessarily the most abstract or the one that uses the most exotic design patterns, but the one that is easy to understand, maintain, test, and extend when it's truly necessary. The KISS principle (Keep It Simple, Stupid) isn't just a catchy phrase; it's a life philosophy in development.
I started questioning myself more and more whenever I found myself thinking about 'how could this be more complicated.' I'd ask myself: 'What's the simplest way to solve this problem NOW?' And if a simple solution worked well, I forced myself to leave it be. I didn't allow myself to fall into the temptation of 'adding more layers' just in case. The key was to be pragmatic. Pragmatism in development means making decisions based on the current needs of the project, considering the costs (in time, effort, and complexity) and the real benefits, rather than relying on speculations about an uncertain future.
This doesn't mean that design patterns or complex architectures don't have their place. Of course, they do! When the project grows, when needs become more complex, that's when these tools become valuable. But the mistake is introducing them prematurely or without a clear, demonstrated need. It's like building a highway for a neighborhood road; it creates more work, more maintenance, and in the end, doesn't necessarily get you where you need to go faster.
What I've Learned (and Am Still Learning)
Today, my approach is much more humble and, I believe, more effective. I strive to understand the problem thoroughly before thinking about the solution. I look for the simplest solution that meets current requirements and doesn't create significant obstacles for future expansions (if they ever become necessary). I prioritize readability and maintainability over abstract 'elegance.' If my code can be understood by another developer (or by my future self) without having to get a Ph.D. in computer science, then I think I'm on the right track.
I've learned to trust the natural evolution of projects. It's better to have a simple solution that works and can be refactored or improved later, than a 'perfect' and complex solution that never gets finished or is impossible to maintain. Over-engineering is a trap for ambitious developers, but with time and experience, one learns to recognize and avoid it. It's a path of constant learning, and I'm sure I'll keep finding new ways to mess up, but also to learn.
Final Thoughts
So, if you're just starting out or if you feel your projects are becoming unnecessarily complicated, take a breather. Ask yourself if you really need every layer, every abstraction, every design pattern you're considering. Often, the answer is no. Simplicity isn't a weakness; it's a strength. Well-written code is code that solves the problem efficiently and is easy to use and maintain. Over-engineering is tempting, especially when you want to show off your skills, but in the long run, it's a path that leads to frustration and unmanageable code. Let's learn to love simplicity, to be pragmatic, and to build solutions that, above all, work and are understandable. See you in the next post!