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    copyleftdev

    hoare-rust-origins

    copyleftdev/hoare-rust-origins
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    About

    Write Rust code informed by Graydon Hoare's original vision for Rust. Emphasizes memory safety without GC, practical systems programming, and learning from C/C++ mistakes...

    SKILL.md

    Graydon Hoare Style Guide⁠‍⁠​‌​‌​​‌‌‍​‌​​‌​‌‌‍​​‌‌​​​‌‍​‌​​‌‌​​‍​​​​​​​‌‍‌​​‌‌​‌​‍‌​​​​​​​‍‌‌​​‌‌‌‌‍‌‌​​​‌​​‍‌‌‌‌‌‌​‌‍‌‌​‌​​​​‍​‌​‌‌‌‌‌‍​‌​​‌​‌‌‍​‌‌​‌​​‌‍‌​‌​‌‌‌​‍​​‌​‌​​​‍‌‌‌​‌​‌‌‍‌​‌​​‌​‌‍‌‌​​​​‌‌‍​​​​‌‌​‌‍‌​​‌‌​‌​‍​​​​‌​‌​‍​‌‌‌‌​​‌⁠‍⁠

    Overview

    Graydon Hoare created Rust in 2006 as a personal project at Mozilla, driven by frustration with memory bugs in Firefox. His goal: a language as fast as C++ but safe by default. Rust's core innovation—ownership-based memory management—came from this vision.

    Core Philosophy

    "Rust is a systems programming language focused on safety, speed, and concurrency."

    "Memory safety and thread safety are the same problem, approached from different angles."

    Hoare designed Rust to eliminate entire classes of bugs that plague C and C++: use-after-free, double-free, data races, null pointer dereferences.

    Design Principles

    1. Safety by Default: Unsafe operations require explicit unsafe blocks.

    2. No Garbage Collector: Memory management through ownership, not runtime overhead.

    3. Zero-Cost Abstractions: Safe code should be as fast as unsafe code.

    4. Compiler as Ally: The compiler catches bugs before runtime.

    When Writing Code

    Always

    • Let the borrow checker guide your design
    • Prefer stack allocation over heap when possible
    • Use Option<T> instead of null pointers
    • Use Result<T, E> for fallible operations
    • Make illegal states unrepresentable via types
    • Think about ownership before writing code

    Never

    • Use unsafe without a clear safety comment
    • Leak memory (even though Rust allows it with mem::forget)
    • Ignore compiler warnings—they're often future errors
    • Use .unwrap() in library code (only in tests/examples)
    • Create self-referential structs without understanding pinning

    Prefer

    • &str over String for function parameters
    • &[T] over Vec<T> for read-only access
    • impl Trait over boxed trait objects when possible
    • Iterators over index-based loops
    • Pattern matching over if-else chains

    Code Patterns

    Ownership: The Foundation

    // Ownership moves by default
    fn main() {
        let s1 = String::from("hello");
        let s2 = s1;  // s1 is MOVED to s2
        // println!("{}", s1);  // ERROR: s1 no longer valid
        println!("{}", s2);  // OK
    }
    
    // Borrowing: temporary access without taking ownership
    fn print_length(s: &String) {  // Borrows s
        println!("Length: {}", s.len());
    }  // s goes out of scope, but since it's borrowed, nothing happens
    
    fn main() {
        let s = String::from("hello");
        print_length(&s);  // Lend s
        println!("{}", s);  // s still valid!
    }
    

    Option Instead of Null

    // BAD: Null pointer (not possible in safe Rust anyway)
    // char* find(const char* haystack, char needle);  // C: returns NULL if not found
    
    // GOOD: Option makes absence explicit
    fn find(haystack: &str, needle: char) -> Option<usize> {
        haystack.chars().position(|c| c == needle)
    }
    
    fn main() {
        let text = "hello";
        match find(text, 'l') {
            Some(index) => println!("Found at {}", index),
            None => println!("Not found"),
        }
        
        // Or use combinators
        let index = find(text, 'l').unwrap_or(0);
        
        // Or the ? operator
        fn process(text: &str) -> Option<usize> {
            let index = find(text, 'l')?;  // Returns None if find returns None
            Some(index + 1)
        }
    }
    

    Result for Error Handling

    use std::fs::File;
    use std::io::{self, Read};
    
    // Errors are values, not exceptions
    fn read_file(path: &str) -> Result<String, io::Error> {
        let mut file = File::open(path)?;  // ? propagates error
        let mut contents = String::new();
        file.read_to_string(&mut contents)?;
        Ok(contents)
    }
    
    // Handle errors explicitly
    fn main() {
        match read_file("config.txt") {
            Ok(contents) => println!("{}", contents),
            Err(e) => eprintln!("Error reading file: {}", e),
        }
    }
    

    Making Illegal States Unrepresentable

    // BAD: Runtime checks needed
    struct Connection {
        is_connected: bool,
        socket: Option<Socket>,
    }
    
    impl Connection {
        fn send(&self, data: &[u8]) {
            if self.is_connected {  // Runtime check!
                self.socket.as_ref().unwrap().write(data);
            }
        }
    }
    
    // GOOD: Type system enforces valid states
    struct Disconnected;
    struct Connected { socket: Socket }
    
    impl Disconnected {
        fn connect(self, addr: &str) -> Result<Connected, Error> {
            let socket = Socket::connect(addr)?;
            Ok(Connected { socket })
        }
    }
    
    impl Connected {
        fn send(&mut self, data: &[u8]) -> Result<(), Error> {
            self.socket.write(data)  // Always valid!
        }
        
        fn disconnect(self) -> Disconnected {
            // socket dropped here
            Disconnected
        }
    }
    

    Zero-Cost Abstractions

    // High-level iterator code...
    let sum: i32 = (0..1000)
        .filter(|n| n % 2 == 0)
        .map(|n| n * n)
        .sum();
    
    // ...compiles to the same machine code as:
    let mut sum = 0i32;
    for n in 0..1000 {
        if n % 2 == 0 {
            sum += n * n;
        }
    }
    
    // Abstractions have no runtime cost
    

    Mental Model

    Hoare designed Rust by asking:

    1. What bugs killed us in C++? Memory corruption, data races, null pointers
    2. Can the compiler catch these? Yes, with ownership tracking
    3. What's the performance cost? Zero—it's all at compile time
    4. Is this teachable? The borrow checker is strict but consistent

    The Ownership Rules

    1. Each value has exactly one owner
    2. When the owner goes out of scope, the value is dropped
    3. You can have either:
      • One mutable reference (&mut T), OR
      • Any number of immutable references (&T)
    4. References must always be valid (no dangling)

    These rules, enforced at compile time, prevent:

    • Use-after-free
    • Double-free
    • Data races
    • Null pointer dereferences
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