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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 this introductory talk, we will explore what it means to "Ratatuify" the Rust package manager, Cargo.
What if we took Rust... on-chain? 🦀
As Rust projects grow, managing private crates becomes a real headache. Teams struggle with inconsistent versioning, fragile dependencies, and cumbersome workflows that slow down development. In this talk, I’ll walk through how these challenges can be solved with Rust and CrabHub.
