Stephanie is back with a book recommendation: "Thinking in Systems" by Donella Meadows. This book has helped to bolster her understanding of complex systems in environmental, organizational, and software contexts, particularly through user interactions and system changes. Joël describes his transformative experience watching last week's total solar eclipse.
Together, they explore how systems thinking influences software development and team dynamics by delving into practical applications in writing and reading code, suggesting that understanding complex systems can aid developers in navigating and optimizing codebases and team interactions.
Transcript:
 JOËL: Hello and welcome to another episode of The Bike Shed, a weekly podcast from your friends at thoughtbot about developing great software. I'm Joël Quenneville.
STEPHANIE: And I'm Stephanie Minn, and together, we're here to share a bit of what we've learned along the way.
JOËL: So, Stephanie, what's new in your world?
STEPHANIE: I have a book recommendation today [laughs].
JOËL: Oh, I love book recommendations.
STEPHANIE: It's been a little while, so I wanted to share what I've been reading that I think might be interesting to this audience. I'm reading Thinking in Systems by Donella Meadows. Joël, are you familiar with systems thinking theory at all?
JOËL: Very superficially. Hearing people talk about it on, I guess, X, now Twitter.
STEPHANIE: Yeah. Well, what I like about this book is the subtitle is A Primer on Thinking in Systems [chuckles], which is perfect for me as someone who also just kind of understood it very loosely, as just like, oh, like, I dunno, you look at things holistically and look at the stuff, not just its parts but from a higher perspective.
JOËL: Yeah. Is that accurate sort of your pre-book reading overview? Or do you think there's a bigger thing, a bigger idea there that the book unpacks?
STEPHANIE: Yeah. I think I'm only, like, a third of the way through so far. But what I have enjoyed about it is that, you know, in some ways, like, intuitively, that makes a lot of sense about, like, oh yeah, you want to make sure that you see the forest for the trees, right?
But one thing I've been surprised by is how it's also teaching me more technical language to talk about complex systems. And, in this case, she is talking about, essentially, living systems or systems that change over time where things are happening. I think that can be a little bit confusing when we also are, you know, talking about computer systems, but, in this case, you know, systems like environments, or communities, or even, you know, companies or organizations, which is actually where I'm finding a lot of the content really valuable.
But some of the language that I've learned that I am now trying to integrate a little bit more into how I view a lot of just, like, daily problems or experiences involve things like feedback loops that might be reinforcing or balancing and different, like, inputs and output flows and what is driving those things. So, I've appreciated just having more precise language for things that I think I kind of intuited but didn't exactly know how to, like, wrap up in a way to communicate to someone.
JOËL: Do you think the idea of thinking in terms of things like self-balancing versus sort of diverging input loops is something that's useful when actually writing code? Or do you think of it a little bit more in terms of, like, teams and how they organize general problem-solving approaches, things like that?
STEPHANIE: I think the answer is both. I actually gave this quite a bit of thought because I was trying to wrap my head around her definition of a system and how we talk about systems sometimes, like, a codebase, for example. And the conclusion I came to is that, really, it's not just the code static by itself that we care about. It's how it gets exercised, how users use it, how developers change it, how we interact with it when we, like, run tests, for example.
So,