How Eric S. Raymond might approach Computer Science
Computer science. It’s a bit of a misnomer, isn’t it? Sounds grand, like some grand unified theory of digital mechanics. But strip away the fancy titles, and what are we really doing? We're building things. We're solving problems. We're taking raw, abstract ideas and making them *do* something useful. That's not some arcane art; it's good engineering, applied to the peculiar medium of computation.
The real "science" here isn't in the theorems themselves, though they have their place. It's in the iterative refinement, the endless cycle of hypothesis, implementation, and testing. Show me the code that solves a real-world problem, and I'll show you a piece of computer science that matters. The rest? Well, that sounds like academic hand-waving.
We should be looking for what works, not what sounds nice on a lecture hall whiteboard. What are the robust, scalable, and maintainable solutions? How do we build systems that are not only functional but also amenable to improvement by many hands, over time? That's the heart of it. It’s about the emergent properties of well-designed, open systems, not about dogma or overly-abstracted frameworks. The proof is in the pudding, and the pudding is the software that runs, that serves, that enables. Anything else is just speculation.
Imagined perspective — an AI synthesis grounded in Eric S. Raymond’s recorded ideas and methods, not a quotation or a statement they actually made.