Show HN: Fuse – statically typed functional programming language

Fuse编程语言正式发布，这可能是写给未来开发者的“代码新语言”。它的最大亮点是结合了纯函数式编程与高性能原生编译，既保证程序逻辑严谨，又能生成运行飞快的可执行文件。咱们用大白话说，编程语言就像盖楼的图纸规范。Fuse这样的“函数式语言”主张每根钢筋水泥都标得清清楚楚，不允许有“大概在这层”的模糊地带。好处是设计师画图时就能发现错误，不用等楼盖好再砸墙。Fuse还自带智能“翻译官”，能把复杂代码自动优化成计算机最省力的指令，让最终软件跑得又快又顺。这件事对普通人的影响，本质是“软件质量的隐形升级”。未来用这类语言开发的App，闪退和卡顿会更少，因为程序员在敲键盘阶段就避开了隐患。虽然大家可能永远不会亲手写Fuse代码，但打开手机时，那丝滑的体验背后，或许就有它的功劳。对技术圈而言，它提供了一种新选择，让写代码这件事变得更像搭积木一样简洁、可靠。

Get Started Overview GitHubfuseFuse is a statically typed, purely functional language with higher-kinded types and ad-hoc polymorphism. It compiles to the GRIN whole-program optimizer, producing LLVM-generated native code.Overview Get Startedtrait Functor[A]: fun map[B](self, f: A -> B) -> Self[B]; impl List[A]: fun fold[A, B](l: List[A], z: B, f: (B, A) -> B) -> B match l: Cons(h, t) => List::fold(t, f(z, h), f) Nil => z fun sum(l: List[i32]) -> i32 List::fold(l, 0, (a, b) => a + b) impl Functor[A] for List[A]: fun map[B](self, f: A -> B) -> List[B] List::fold(self, Nil[B], (t, h) => Cons(f(h), t)) fun fmap[A, B, F: Functor](f: A -> B, x: F[A]) -> F[B] x.map(f) fun main() -> IO[Unit] let l = Cons(1, Cons(2, Cons(3, Nil))) let l2 = fmap(x => x * 2, l) print(int_to_str(List::sum(l2)))FeaturesStatically typedType system based on System F with higher-order polymorphism. Algebraic data types, generics, and traits give you powerful tools to model your domain.Purely functionalEvery function in Fuse is a pure function. Pattern matching, higher-order functions, and do notation let you write expressive, composable code.Type inferenceBidirectional type checking with support for higher-order types. Only function type signatures are required, for readability and verbosity. Everything else is inferred.Clean syntaxDrawing inspiration from Rust, Python, Scala, and Haskell to bring a readable syntax to purely functional programming. Indentation-based blocks, lambda expressions, and ML-like syntax keep code clean and approachable.Compiles to GRINWhole-program optimization through GRIN and code generation via LLVM produces fast, small native binaries with zero-cost abstractions.Install FuseGet the Fuse toolchain on Linux (x86_64) or macOS (ARM64).curl -fsSL https://fuselang.github.io/fuse/fuseup | sh Overview Get Started GitHubLicensed under MIT · © 2026 Stevan Milić