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In this talk, we’ll explore battle-tested best practices for integrating Claude Code into a professional Axum development workflow without compromising on Rust’s core values: correctness, clarity, and maintainability.
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AI coding tools can accelerate Rust development—but only if we use them with intention, discipline, and a Rust-specific mindset. In this talk, we’ll explore battle-tested best practices for integrating Claude Code into a professional Axum development workflow without compromising on Rust’s core values: correctness, clarity, and maintainability.
We’ll discuss how to leverage Claude for the work it excels at—scaffolding new Axum services, generating typed data models, producing serde integrations, writing tests, and creating clean project structures—while keeping humans in control of the parts that truly matter in Rust: ownership, lifetimes, API design, error semantics, and crate ecosystem choices.
I'll share a few tricks to help you write cleaner, more powerful declarative macros. You'll also get a sneak peek at the nightly features to see what's coming next macro_rules! world.
During this talk we'll build a basic, working async runtime using nothing more than a standard library. The point? To see it's approachable for mere mortals.
I contributed LTO-related changes to many open-source projects, and had a lot of interesting discussions with their maintainers about LTO. In this talk, I want to share with you my experience.
This talk puts popular Rust rewrites to the test. We'll examine how these tools stack up against their battle-tested predecessors, looking at real-world performance, compilation times, binary sizes, feature completeness, and ecosystem maturity.
We’ll take a deep dive into Rust channels — from synchronous channels to asynchronous channels — to explore how message passing enables reliable concurrent programming.
