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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.
As autonomous AI agents move from prototypes to production, the gap between Python’s flexibility and the need for rigorous safety becomes a critical liability. This session introduces the "Iron Cage" architecture - a hybrid approach that utilizes Rust as a secure, high-performance runtime boundary for AI agents.
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. Through a real-world case study, the speaker demonstrates design patterns for wrapping unpredictable AI logic in a secure Rust environment. Attendees will learn how to transition from optional application-level validators to a system where safety and resource constraints are enforced by the runtime itself. The session provides a blueprint for building AI-native infrastructure that ensures production-grade reliability without sacrificing development velocity.
In my session, I will present the https://hotpath.rs crate and explain how it compares to other profiling tools available.
I'll share a few tricks to help you write cleaner, more powerful declarative macros. You'll also get a sneak peek at the nightly features to see what's coming next macro_rules! world.
We’ll take a deep dive into Rust channels — from synchronous channels to asynchronous channels — to explore how message passing enables reliable concurrent programming.
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.
In this talk, we'll dive deep into what makes concurrency coordination costly, and explore some pathways to mitigate that cost.
