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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.
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.
This talk explores building a complete self-hosted LLM stack in Rust: Paddler, a distributed load balancer for serving LLMs at scale, and Poet, a static site generator that consumes those LLMs for AI-powered content features.
For infrastructure engineers, SREs, platform teams, and Rust developers who've felt the pain of configuration drift, failed deployments, and infrastructure code that simply doesn't scale safely.
In this talk, we’ll re-create the core ideas of Karpathy’s micrograd, but entirely in Rust.
This session we will delve into the sometimes murky world of procedural macros - showing some of the great tooling available for understanding the code generated, such as cargo expand, and the key building blocks we will need for writing our own.
