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.
In my session, I want to present hotpath and channels-console libraries and explain how they compare to other profiling tools available.
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.
The talk explores how Rust’s type system and memory safety can be leveraged to enforce mandatory guardrails at the infrastructure level, where traditional frameworks often fall short.
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.