Why Rust is different, with Alice Ryhl

2026-05-13 · Source: The Pragmatic Engineer · Field: Technology & Digital — Software Development & Engineering, Cybersecurity & Data Privacy · Depth: Intermediate, extended

Summary

Alice Ryhl, a software engineer on Google's Android Rust team and a core maintainer of Tokyo, explains Rust's distinct advantages for building reliable and performant applications. She highlights how Rust's type system, ownership model, and borrow checker prevent common bugs like null pointer exceptions and memory safety vulnerabilities, a critical concern for C++ developers. Rust's error handling, documentation tests, and match statements also enhance reliability, catching issues at compile time. Ryhl notes Rust's growing popularity, surpassing PHP and Go on the Taiobi index, and its increasing adoption in backend services, command-line tools, and embedded systems, including the Linux kernel, where it is no longer experimental. The language's unique combination of no garbage collector and low-level control makes it suitable for high-performance contexts. She also touches on Rust's decentralized governance via teams and an RFC process, and how AI tools are being explored for code review and automating development tasks.

Key takeaway

For Software Engineers or Security Engineers building high-performance, reliable systems, consider Rust to drastically reduce common bugs and security vulnerabilities. Its compile-time checks, memory safety, and explicit error handling prevent issues like null pointer exceptions and off-by-one errors that plague C++ and can lead to security exploits. Prioritize Rust for new backend services, embedded projects, or kernel-level contributions to leverage its unique blend of performance and reliability, ensuring fewer production incidents and a more secure codebase.

Key insights

Rust's unique combination of memory safety, performance, and compile-time error prevention makes it exceptionally reliable.

Principles

• Reliability stems from preventing common programmer mistakes at compile time.
• Memory safety eliminates a critical class of security vulnerabilities.
• Explicit error handling and type-driven design reduce runtime bugs.

Method

Rust's RFC process involves detailed proposals with "guide-level" and "reference-level" explanations, followed by a Final Comment Period (FCP) for team consensus and stabilization reports for feature release.

In practice

• Design data structures as trees or DAGs to avoid cyclic object issues.
• Use Arc for shared ownership when a single owner is not feasible.
• Encapsulate "unsafe" code within safe APIs for low-level control.

Topics

• Rust Programming
• Memory Safety
• Asynchronous Runtimes
• Language Governance
• Linux Kernel Integration
• Software Reliability

Best for: CTO, VP of Engineering/Data, AI Architect, Software Engineer, Security Engineer, DevOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Pragmatic Engineer.