Nvidia's SoL-Pi automates harness optimization, cutting coding-agent token use nearly in half
Nvidia researchers introduce SoL-Pi, a system that automatically proposes and tests changes to the control layer (harness) of coding agents. On the EdgeBench tasks the most efficient SoL-Pi variant used 44.7–49% fewer tokens while reaching about 93.7% of Pi harness performance; the system was optimized on GPT-5.6 Sol and also applied to Opus 5 with similar cost savings but reduced mechanism activation, and the paper estimates hourly API savings versus native Codex/Claude Code and versus Pi.