The author demonstrates that modern agentic LLMs can iteratively optimize Rust code to outperform state-of-the-art libraries, achieving 2x-20x speedups depending on the domain. This follows up on a 2025 hypothesis about LLMs writing better code through iterative prompts, now confirmed with rigorous testing using models like Opus 4.5.
Background
Agentic coding has emerged as a significant trend in 2025-2026, with models like Claude and Opus becoming capable of multi-step coding tasks. Performance optimization remains a less commonly addressed capability in LLM-generated code.
- Source
- Lobsters
- Published
- Sep 23, 2026 at 01:03 AM
- Score
- 7.0 / 10