February 20, 2026 · 2 min read

Why I Started Learning Zig (and You Should Too)

#zig#systems-programming#low-level

Why I Started Learning Zig

As someone who spends most of their professional time in TypeScript and Angular, picking up a systems programming language like Zig might seem like a detour. But it's been one of the most rewarding learning experiences of my career.

The Appeal

Zig sits in an interesting space — it's not trying to be C++, and it's not trying to be Rust. It aims to be a better C: a simple, predictable language with no hidden control flow, no hidden allocations, and clear error handling.

What drew me in:

  • No hidden allocators — you always know where memory comes from
  • Comptime — compile-time code execution that replaces macros and generics
  • C interop — you can import C headers directly, no FFI bindings needed
  • Clear error handling — errors are values, not exceptions

A Simple Example

Here's a taste of Zig's clarity:

const std = @import("std");

pub fn main() !void {
    const stdout = std.io.getStdOut().writer();
    try stdout.print("Hello from Zig!\n", .{});
}

No implicit allocations. No garbage collector. Just predictable, auditable code.

How It Changed My Thinking

Learning Zig has made me a better JavaScript/TypeScript developer. Understanding what happens below the abstractions — how memory is laid out, how the event loop actually works, why certain patterns are expensive — gives you an edge when writing high-performance front-end code.

When you know why a closure captures variables the way it does, or why an array method creates intermediate allocations, you write more intentional code.

Getting Started

If you're curious about Zig:

  1. Start with the official Zig documentation
  2. Try the Ziglings exercises
  3. Build something small — a CLI tool, a file parser, a simple HTTP server

The community is welcoming, and the language is still evolving — which means your feedback actually matters.

Closing Thoughts

You don't need to write Zig professionally to benefit from learning it. The mental model it builds — thinking about memory, ownership, and explicit control flow — transfers directly to every other language you use.

"The best way to understand high-level abstractions is to build without them."

Give it a try.