Astra
Native performance. Modern ergonomics. Enterprise-grade reliability.
Astra is a modern systems programming language built on an LLVM backend for native performance, combining the safety and expressiveness that enterprise software demands with the ergonomics developers expect.
It is a language designed not for academic experiments but for the real constraints of production systems: predictable performance, deep type safety, and the compositional features that make large codebases maintainable.
Language Features
Generics
First-class generic types with constraint-based bounds. Write once, use across the full type space — without runtime overhead.
Async / Await
Structured concurrency built into the language, not bolted on. Async functions compose naturally with synchronous code.
Advanced Type System
Algebraic data types, pattern matching, dependent types for invariant encoding. If it compiles, it is correct by construction.
LLVM Backend
Native code generation through LLVM — the same infrastructure behind Clang and Rust. Performance comparable to C, ergonomics far beyond it.
Memory Safety
Ownership model and borrow-checked references without a garbage collector. Deterministic resource management with zero-cost abstractions.
Enterprise Ready
Module system designed for large codebases. Explicit interfaces. Versioned packages. Built for teams, not just individuals.
A Taste of Astra
// Generic Result type with pattern matching
type Result<T, E> =
| Ok(value: T)
| Err(error: E)
// Async function with structured error handling
async fn fetch_user(id: UserId) -> Result<User, ApiError> {
let response = await http.get("/users/\(id)")
match response.status {
200 => Ok(User.decode(response.body))
404 => Err(ApiError.NotFound(id))
_ => Err(ApiError.Unexpected(response.status))
}
}
// Generic constraint syntax
fn max<T: Comparable>(a: T, b: T) -> T {
if a > b { a } else { b }
}