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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.
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.
What if we took Rust... on-chain? 🦀
In my session, I will present the https://hotpath.rs crate and explain how it compares to other profiling tools available.
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.
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.
