Rust

TinyLua: a zero-VM Lua native compiler written in Rust. Compiles Lua source directly to AVR/ARM machine code for Arduino bare-metal — no interpreter, no GC, no runtime. Scripting language performance at C level.

Async Rust is powerful but frustrating. From ecosystem fragmentation and Pin/Unpin to cancellation safety and performance traps, this article breaks down the real pain points with visual diagrams and practical analogies.

Master Rust smart pointers: Box, Rc, RefCell, and the powerful Rc<RefCell> combo. Learn heap allocation, reference counting, and interior mutability through vivid analogies. Beginner to intermediate level.

The tokio::select! macro has always been a blind spot for rustfmt. better_tokio_select uses match syntax to fix this, so your async Rust code can finally be auto-formatted.

Oxide Computer released OxiCUDA, a pure Rust implementation of the complete NVIDIA CUDA software stack. 239K lines of safe Rust code, 28 crates, zero C toolchain. This is production-ready code, not a proof of concept.

Rust #[must_use] attribute explained: put it on structs, functions, or traits to force callers to handle critical return values. Compile-time warnings prevent transactions and payments from being silently dropped.

Behind the benchmark numbers are three competing models: GC pauses, JIT warmup, and AOT compilation. Here’s the data-driven breakdown of when to use Rust versus when Quarkus Native Image is the smarter choice.

CPU was fine, memory was stable, no recent deploys — but error rates hit 3.4%. After comparing 6 outage reports across Node.js, Go, and Java, we finally understood how async systems actually fail, and where Rust+Tokio’s compiler draws the line.

Rust enums are far more than a set of constants. They carry data, drive state machines, replace null, and unify error handling. This guide walks you from basics to recursive enums with real code examples.

Build a spam classifier neural network with Rust and Hugging Face’s Candle framework in just 500 lines of code. From tokenizer to embedding to Softmax, every step explained like a cooking recipe. No GPU, no Python, runs on any laptop.