I spoke at LoopConf 2018 on software complexity and how to manage it. This is the companion article that I wrote for it. If you’re just looking for the slides, click here. You can also find a recording of the talk here.
As developers, we spend a lot of time writing code. But we spend even more time maintaining that code. How often do we go back find that that code has become this tangled mess that we almost can’t understand? It’s probably more often than we want to admit!
We wonder, “How did this happen? How did this code get so messy?” Well, the most likely culprit is software complexity. Our code became so complex that it became hard to know what it did.
Now, software complexity isn’t a topic that developers are often familiar with when they start coding. We have other things to worry about. We’re trying to learn a new programming language or a new framework.
We don’t stop and think that software complexity could be making that job harder for us. But it is doing precisely that. We’re creating code that works, but that’s also hard to maintain and understand. That’s why we often come back and ask ourselves, “What was I thinking!? This makes no sense.”
That’s why learning about software complexity is important. It’ll help you increase the quality of your code so that these situations don’t happen as often. And this also has the added benefit of making your code less prone to bugs. (That’s a good thing even if debugging is a great learning tool!)