Writing Rust code that's fast by asking agents to make the code faster

The article discusses a technique for optimizing Rust code by using agents to iteratively suggest improvements. The author, Ben Eadie, proposes a system called 'agentic iteration' that utilizes a meta-optimizer to analyze and optimize code. This approach involves creating a 'meta-agent' that observes the code's execution and generates suggestions for improvement. The agent can then be trained on the code's performance metrics to refine its suggestions. The author presents a simple example of how this approach can be applied to a Rust program, demonstrating a 2x speedup with minimal code changes.