exact mechanics of the 3624 receipt printer are amusing and the result of some
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The practical implementation involves thinking about the conversation your audience wants to have rather than the keywords they might type. What are they trying to accomplish? What confuses them? What decisions are they facing? What objections or concerns do they have? When you address these elements in natural, conversational language, you simultaneously create content that people find valuable and that AI models recognize as comprehensive answers to common questions.
It's versatile enough that it can be used for application and systems programming. It has the best tooling of any language I've seen. It has a fairly pleasant type system. And I think most importantly it does a great job in bringing higher level language features into an environment without a garbage collector. Rust has arguably set the bar for "fast languages that are also decently expressive".