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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.
This talk explores what it means to write scientific software that lives up to the standards we expect of science itself.
What if we took Rust... on-chain? 🦀
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.
