Magic Systems and Operating Systems
Magic Systems and Operating Systems
If you look at the "Personal" section of this portfolio, you'll see I'm a huge fan of Brandon Sanderson (Mistborn, Stormlight Archive).
Usually, people see reading fantasy as an escape from logic—a break from the rigid structures of computer science. But with Sanderson, it's different. He is famous for his Three Laws of Magic, the first of which states:
"An author's ability to solve conflict with magic is DIRECTLY PROPORTIONAL to how well the reader understands said magic."
Hard Magic vs. Soft Magic
Sanderson writes "Hard Magic." It has rules. It has costs. It has physics. If a character pushes on metal, they are pushed back. Energy is conserved. It’s a system.
"Soft Magic" (like Lord of the Rings) is mysterious and unexplained. Gandalf does... things. We don't know the rules, so we can't predict the outcome.
Coding is Hard Magic
As a backend engineer, I realize that I love programming for the same reason I love these books: Coding is the ultimate Hard Magic system.
We write incantations (syntax) into a terminal. If the incantation is perfect, we summon a server, or transform data, or send a message across the world.
But if we miss a single semicolon? If our logic is flawed? The spell fails. The compiler screams. The system crashes.
The Engineer's Mindset
When I'm designing a distributed system or optimizing a data pipeline, I'm essentially building a magic system. I'm defining the constraints. I'm setting the costs (latency, memory, CPU). I'm ensuring that the users of my API understand the rules so they can use the "magic" to solve their conflicts.
So, next time you're debugging a race condition or tracing a memory leak, just remember: you aren't just typing text. You're a scholar of the arcane, figuring out why the laws of physics in your universe just broke.