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SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness

94 upvotes · 17 SEP 2026 · Haozhe Liu, Tian Ye, Sensen Gao et al.

This paper develops a method to efficiently scale agent research loops, allowing for more effective self-improvement and reusable improvements across diverse environments. Practitioners might care about this research because it could lead to significant cost savings and improved performance in automated code completion and generation tasks.

continual learningauto-researchrecursive self-improvementagent harnesstoken efficiencybenchmarking