As a best-selling author, I invite you to explore my books on Amazon. Don’t forget to follow me on Medium and show your support. Thank you! Your support means the world!

I want to talk about why I think Rust is becoming a serious choice for building games and game engines. If you’ve ever spent a late night chasing down a crash that only happens when a specific enemy type dies near a particular wall, you know the frustration. A lot of that pain comes from how memory is managed, or mismanaged, in traditional languages. Rust offers a different path—one where the computer helps you prevent those problems before they ever happen.

Traditional game engines are often built with C++. It’s a powerful language that gives you direct control over the hardware. This control is necessary for squeezing out every bit of performance to hit a steady 60 or 120 frames per second. But this power comes with a significant cost. You are responsible for managing the memory you use. Forgetting to free it causes leaks. Freeing it too early causes crashes. Accessing it from multiple threads incorrectly causes data races, leading to glitches that are incredibly hard to reproduce.

Rust tackles this problem head-on with a concept called ownership. It’s the core idea of the language. Every piece of data has a single owner at a time. When the owner goes out of scope, the data is cleaned up automatically. This eliminates memory leaks without needing a garbage collector that might pause your game at an inopportune moment. You can’t have a dangling pointer because the language won’t let you keep a reference to data that has been freed.

Let’s look at how this works with something simple, like a texture handle. In a less strict language, you might load a texture, store a pointer to it, and then later unload it while something else still thinks it can use that pointer.

struct Texture {
id: u32,
// other texture data...
}

impl Drop for Texture {
fn drop(&mut self) {
println!("GPU Resource {} freed.", self.id);
}
}

fn load_texture() -> Texture {
println!("Loading texture into GPU...");
Texture { id: 1 }
}

fn use_texture(texture: &Texture) {
println!("Using texture {}.", texture.id);
}

fn main() {
let player_texture = load_texture(); // player_texture owns the Texture
use_texture(&player_texture); // We lend it to the function

// When player_texture goes out of scope at the end of main(),
// its `drop` method is called automatically. We can't forget.
}

The borrow checker is Rust’s compile-time police force for these ownership rules. It ensures all your references are valid. It stops you from having two threads mutate the same health variable simultaneously, which would cause a data race. This might feel restrictive at first—you’ll fight with the compiler. But that fight happens while you’re writing the code, not when a player is about to beat the final boss. The errors you get are guides to writing safer, more correct code from the start.

Performance is non-negotiable in games. The good news is that Rust’s safety features are "zero-cost abstractions." This means that the checks the borrow checker does happen at compile time. By the time your game is running, the generated machine code is as efficient as if you had written careful, manual memory management in C++. There’s no runtime overhead for the safety guarantees.

Where does this actually help in a game? Everywhere. Game state is complex: characters, items, physics objects, particles, UI elements. They all interact in unpredictable ways. A Rust game engine can structure this using an Entity Component System, or ECS. This is a data-oriented architecture that plays to Rust’s strengths.

In an ECS, an Entity is just a unique ID. A Component is a bundle of data (like Position, Velocity, Health). A System is logic that operates on entities with specific components. This design is cache-friendly and works beautifully with Rust’s ownership model for parallel execution.

Here’s a conceptual look using a simple ECS pattern, inspired by engines like Bevy:

// Simple Component definitions
struct Position {
x: f32,
y: f32,
}

struct Velocity {
dx: f32,
dy: f32,
}

struct Renderable {
glyph: char,
}

// A system as a function
fn movement_system(positions: &mut Vec<Position>, velocities: &Vec<Velocity>) {
for (pos, vel) in positions.iter_mut().zip(velocities.iter()) {
pos.x += vel.dx;
pos.y += vel.dy;
}
}

// Another system
fn render_system(positions: &Vec<Position>, renderables: &Vec<Renderable>) {
for (pos, render) in positions.iter().zip(renderables.iter()) {
println!("Draw '{}' at ({}, {})", render.glyph, pos.x, pos.y);
}
}

fn main() {
// Create some entity data
let mut positions = vec![Position { x: 0.0, y: 0.0 }, Position { x: 5.0, y: 5.0 }];
let velocities = vec![Velocity { dx: 1.0, dy: 0.5 }, Velocity { dx: -0.5, dy: 1.0 }];
let renderables = vec![Renderable { glyph: '@' }, Renderable { glyph: '#' }];

// Run game loop systems
movement_system(&mut positions, &velocities);
render_system(&positions, &renderables);
}

In a full engine, these systems can often run in parallel because Rust can prove that movement_system (which mutates Position) and render_system (which only reads Position) don’t conflict. This safe concurrency is a game-changer for utilizing multiple CPU cores effectively, which is critical for modern games.

Let’s consider asset management. Games load tons of resources: models, sounds, textures, scripts. In C++, managing the lifetime of these assets is a chore. In Rust, you can use smart pointers to make this intuitive. An Rc (Reference Counted) pointer can be used when multiple parts of the game need to read from the same texture. An Arc (Atomically Reference Counted) is used for the same purpose across threads.

use std::rc::Rc;
use std::collections::HashMap;

struct TextureData {
pixels: Vec<u32>,
width: u32,
height: u32,
}

struct AssetCache {
textures: HashMap<String, Rc<TextureData>>,
}

impl AssetCache {
fn load(&mut self, path: &str) -> Rc<TextureData> {
// Check if it's already loaded
if let Some(texture) = self.textures.get(path) {
return Rc::clone(texture); // Cheap clone of the pointer, not the data
}

// Simulate loading
println!("Loading texture from: {}", path);
let new_texture = Rc::new(TextureData {
pixels: vec![0; 100 * 100],
width: 100,
height: 100,
});

self.textures.insert(path.to_string(), Rc::clone(&new_texture));
new_texture
}
}

fn main() {
let mut cache = AssetCache { textures: HashMap::new() };

let player_tex = cache.load("player.png");
let bullet_tex = cache.load("bullet.png");
let another_player_tex_ref = cache.load("player.png"); // Doesn't reload

// Both `player_tex` and `another_player_tex_ref` point to the same data.
// The data will be freed only after the last Rc is dropped.
}

This pattern gives you efficient, shared asset management with clear lifetime rules. The texture data is automatically freed when the last part of the game stops using it. There’s no manual delete call you can get wrong.

For low-level graphics, the wgpu crate provides a safe, cross-platform interface to modern graphics APIs like Vulkan, Metal, and DirectX 12. It manages the complex, unsafe underlying API calls for you, wrapping them in a Rust-safe interface. This prevents a huge category of graphic driver crashes and graphical glitches related to incorrect API usage.

// A very simplified wgpu setup sketch
use wgpu;

async fn create_render_pipeline(device: &wgpu::Device, layout: &wgpu::PipelineLayout, shader: &wgpu::ShaderModule) -> wgpu::RenderPipeline {
device.create_render_pipeline(&wgpu::RenderPipelineDescriptor {
label: Some("Render Pipeline"),
layout: Some(layout),
vertex: wgpu::VertexState {
module: shader,
entry_point: "vs_main",
buffers: &[],
},
fragment: Some(wgpu::FragmentState {
module: shader,
entry_point: "fs_main",
targets: &[Some(wgpu::ColorTargetState { /* ... */ })],
}),
// ... other fields
})
}

The compiler ensures you can’t, for example, use a texture after you’ve told the GPU you’re done with it in that frame. This kind of safety is incredibly valuable when dealing with the asynchronous nature of GPU commands.

What about scripting? Game logic often needs to be dynamic. While Rust is compiled and static, you can embed scripting languages like Lua or Rhai (a Rust-native scripting language) safely. Rust’s ownership ensures the script engine can’t corrupt the main game state.

use rhai::Engine;

struct GameUnit {
health: i32,
}

fn main() {
let mut engine = Engine::new();

// Register a custom type and its API with the script engine
engine.register_type_with_name::<GameUnit>("GameUnit")
.register_get("health", |unit: &mut GameUnit| unit.health)
.register_set("health", |unit: &mut GameUnit, value: i32| unit.health = value)
.register_fn("take_damage", |unit: &mut GameUnit, damage: i32| {
unit.health -= damage;
println!("Unit took {} damage, health now: {}", damage, unit.health);
});

let mut my_unit = GameUnit { health: 100 };

// Run a safe script
let script = "unit.take_damage(25);";
engine.run_script_with_scope(&mut rhai::Scope::new(), script).unwrap();
}

This allows designers to write game logic without risking a null pointer crash that brings down the entire engine. The sandbox is robust.

Networking is another critical area. Multiplayer games are minefields of shared state and concurrent updates. Rust’s std::sync primitives, like Mutex and Arc, combined with the borrow checker, make it much harder to accidentally share connection state without proper locking. Crates like tokio provide a safe, asynchronous runtime for handling thousands of concurrent connections, which is ideal for game servers.

use std::sync::{Arc, Mutex};
use std::thread;
use std::time::Duration;

struct Player {
id: u32,
score: i32,
}

fn main() {
// Shared state protected by a Mutex inside an Arc for thread-safe sharing
let player = Arc::new(Mutex::new(Player { id: 1, score: 0 }));

let player_ref = Arc::clone(&player);
let handle = thread::spawn(move || {
for _ in 0..5 {
thread::sleep(Duration::from_millis(100));
let mut locked_player = player_ref.lock().unwrap(); // Compiler ensures we lock
locked_player.score += 10;
println!("Thread: Score is now {}", locked_player.score);
// Lock is automatically released here
}
});

// Main thread can also safely access
{
let mut locked_player = player.lock().unwrap();
locked_player.score = 50;
println!("Main: Set score to {}", locked_player.score);
}

handle.join().unwrap();
println!("Final score: {}", player.lock().unwrap().score);
}

The compiler enforces that you cannot access the shared player data without going through the Mutex. This eliminates a whole class of multiplayer de-sync and corruption bugs.

Is it all perfect? No. The learning curve is real. The fight with the borrow checker when you’re starting out is a rite of passage. The ecosystem for game development, while growing rapidly and full of high-quality crates, is younger and smaller than C++’s. You might miss the mature tooling of a decades-old engine like Unreal. For very large, existing teams, rewriting everything in Rust isn’t practical.

But for new projects, especially those where stability is as important as speed, Rust is a compelling choice. It’s excellent for engine components, tools, network servers, and of course, full game prototypes. The feeling of confidence it provides is significant. When your game compiles, you have a high degree of assurance that it won’t crash from a memory error or a data race. That lets you focus your debugging efforts on the actual game logic—the fun part.

You spend less time being a detective in a crash dump and more time creating the experience you imagine. In an industry where crunch and bug-fixing are notorious, a tool that systematically removes entire categories of problems is not just a technical improvement; it’s a quality-of-life improvement for developers. That, to me, is what makes Rust for game development so promising. It aligns the language’s rules with the goal of building solid, performant interactive experiences.

📘 Checkout my latest ebook for free on my channel!

Be sure to like, share, comment, and subscribe to the channel!

---

101 Books

101 Books is an AI-driven publishing company co-founded by author Aarav Joshi. By leveraging advanced AI technology, we keep our publishing costs incredibly low—some books are priced as low as $4—making quality knowledge accessible to everyone.

Check out our book Golang Clean Code available on Amazon.

Stay tuned for updates and exciting news. When shopping for books, search for Aarav Joshi to find more of our titles. Use the provided link to enjoy special discounts!

Our Creations

Be sure to check out our creations:

Investor Central | Investor Central Spanish | Investor Central German | Smart Living | Epochs & Echoes | Puzzling Mysteries | Hindutva | Elite Dev | Java Elite Dev | Golang Elite Dev | Python Elite Dev | JS Elite Dev | JS Schools

---

We are on Medium

Tech Koala Insights | Epochs & Echoes World | Investor Central Medium | Puzzling Mysteries Medium | Science & Epochs Medium | Modern Hindutva