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Hindley-Milner Type Inference & AST Lowering in Rust

🛠️ Compiler Construction & Cranelift JIT (The Vitalis Architecture)18 min140 BASE XP⌨ HANDS-ON LAB

The Architecture of Vitalis

The Vitalis compiler is a high-performance self-hosting compiler written from scratch in Rust. It compiles domain logic into native machine code 100x to 6,750x faster than Python. At the core of Vitalis is an implementation of Algorithm W (Hindley-Milner type inference), allowing developers to write clean, untyped code that the compiler strictly proves at compile time without runtime checks.

Unification Algorithm in Rust

#[derive(Clone, Debug, PartialEq, Eq)]
pub enum Type {
    Int64,
    Float32,
    Boolean,
    Var(usize),
    Function(Box, Box),
}

pub struct TypeInferenceContext {
    substitutions: std::collections::HashMap,
}

impl TypeInferenceContext {
    pub fn unify(&mut self, t1: &Type, t2: &Type) -> Result<(), String> {
        let t1 = self.resolve(t1);
        let t2 = self.resolve(t2);

        match (t1, t2) {
            (Type::Int64, Type::Int64) => Ok(()),
            (Type::Float32, Type::Float32) => Ok(()),
            (Type::Boolean, Type::Boolean) => Ok(()),
            (Type::Var(id), other) | (other, Type::Var(id)) => {
                self.substitutions.insert(id, other);
                Ok(())
            }
            (Type::Function(a1, r1), Type::Function(a2, r2)) => {
                self.unify(&a1, &a2)?;
                self.unify(&r1, &r2)
            }
            (a, b) => Err(format!("Type mismatch: cannot unify {:?} with {:?}", a, b)),
        }
    }

    fn resolve(&self, t: &Type) -> Type {
        match t {
            Type::Var(id) => self.substitutions.get(id).cloned().unwrap_or_else(|| t.clone()),
            _ => t.clone(),
        }
    }
}
⌨ HANDS-ON LABCompile AST to Cranelift SSA IR and Execute JIT Machine Code
⭐ +160 XP

Lower a typed AST into Cranelift intermediate representation (CLIF) and execute native machine code in executable memory.

1Compile and run the Vitalis Hindley-Milner type inference tests.
2Emit Cranelift SSA Intermediate Representation (CLIF) for an arithmetic AST.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 2 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 1
What is the primary advantage of Hindley-Milner type inference in compiler design?
It mathematically computes the most general type for all expressions without requiring manual developer type annotations
It converts all recursive functions into iterative loops automatically
It eliminates all heap memory allocations at the syntax stage
It compiles ASTs directly to WebAssembly bytecode without an intermediate representation