Researchers at NVIDIA, NTU, and MIT developed SoL-Pi, a system that optimizes coding agents through recursive auto-research loops across diverse environments. SoL-Pi reduces token usage by 44.7-49.0% and API costs by approximately one third while maintaining performance comparable to existing systems on the 51-task EdgeBench evaluation.