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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.
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 2024, I added the `Option::as_slice` and `Option::as_mut_slice` methods to libcore. This talk is about what motivated the addition, and looks into the no less than 4 different implementations that made up the methods. It also shows that even without a deep understanding of all compiler internals, it is possible to add changes both to the compiler and standard library.
In this talk, we'll explore the current state of AI development in Rust, highlighting key crates, frameworks, and tools. Covering the essentials from ML and NLP to integrating LLMs and agent-based automation.
This talk explains how Rust debugging actually works: how compiler-generated debuginfo (DWARF/PDB) maps binaries back to source, and how LLDB/GDB interpret that data in practice.
I’ll share what the Rust job market really looks like in 2025 — where companies are hiring, which skills stand out, and how the recruitment process actually works behind the scenes.
