"What is Rust? Part 1: What is a Programming Language?"

Why this is in the vault

Part 1 of a Technically series that builds from first principles — what a programming language is — up through the memory safety tradeoff that motivated Rust's creation; useful context for understanding why Rust is increasingly present in the AI toolchain and data engineering stack.

The core argument

Programming languages are human-friendly abstraction layers over binary (1s and 0s) that each make different design tradeoffs. The foundational one is memory management: high-level languages like Python automate it (safe and forgiving, but slower), while low-level languages like C give manual control (fast, but error-prone and dangerous). Secondary tradeoffs include static vs. dynamic typing and compiled vs. interpreted execution.

The article positions memory as the "granddaddy" tradeoff — the question a developer must answer before starting any project: do you want it fast or do you want it safe? Rust is introduced as the language that attempts to answer "both," but Part 1 ends with the setup: Part 2 will explain why Mozilla's cracked engineer built a new language around solving this problem in the context of high-speed trading, AI, and online gaming.

Key historical grounding: from Grace Hopper/Ada Lovelace punching physical cards to FORTRAN as the first mainstream language. The "bug" etymology (1947 moth in Harvard Mark II) is included as a sidebar. The abstraction ladder — binary → assembly → higher-level languages — is laid out clearly.

Mapping against Ray Data Co

Weak-to-medium. The most direct connection is not Rust itself but why Rust keeps appearing in RDCO's toolchain perimeter: Polars (Python's fastest dataframe library) is written in Rust, Delta Lake has Rust bindings, and AI inference engines like Tokenizers and candle are Rust-based. When advising phData clients on performance-critical data workloads or evaluating the "why is Polars faster than pandas" question, this memory-management framing is the actual answer. Part 2 is where the AI/inference angle will land — that will be the more actionable installment for the phData DSA context.

Related

[[2026-04-30-alphasignal-warp-rust-codebase-followup]] — Warp's Rust-native terminal codebase, a concrete example of the memory-safety argument this article sets up [[2026-06-17-data-engineering-central-lakehouse-delta-lake-rust]] — Delta Lake's Rust reimplementation, RDCO-adjacent use case of the speed-vs-safety tradeoff introduced here