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In my session, I will present the https://hotpath.rs crate and explain how it compares to other profiling tools available.
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.
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.
In this talk, we’ll re-create the core ideas of Karpathy’s micrograd, but entirely in Rust.
I'll initiate you in the art of 'CAN bus sniffing': Connecting to the central nervous system of a modern car, interpreting the data, and seeing what we can build as enthousiastic amateurs.
