"SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness"
This is a AI post classified by Jev as AI coding agents (research), kept by the AI Radar because it carries real work, not commentary.
"SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness" This paper lets coding agents recursively optimize their own harness instead of hand-designing it. Across diverse coding environments, it discovers four mechanisms that compress context, observations, reading, and actions. The result is comparable performance with 44.7-49% less token traffic and roughly one-third lower API cost. https://www.alphaxiv.org/abs/2609.20519
Posted by alphaXiv (55.9k followers) 1 h ago · 27 likes · 1.3k views · view the original post on X. Kept by the AI Radar as AI coding agents. Tools mentioned: alphaXiv.
More AI work like this
- 文科生有救了,妈妈再也不怕我的localhost:8888别人访问不了了! — @mylifcc
- Teaches how to engineer reliable AI coding agents through environment, state management,… — @tom_doerr
- Codex 在家里的 Mac 上跑着一个长任务,人出门了,跑到要审批的那一步就停在那儿等,回来才发现半天没动。 — @GitHub_Daily
- Bend2がすごく気になってる。 — @gimu_ai
- Added Jev as a review gate to http://rakazo.com. — @elie2222
- Claude Code finally supports AGENTS.md. — @davidarngar
- I'm using MiniMax Code/CLI running full local GLM 5.3 EXL3 to build and optimize the… — @u1tra_instinct
- Website comparison between old tasteskill and new Design Agent beta — @LexnLin
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 34.1k posts from 4.8k X accounts over the last 14 days, 1.4k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-20 08:52 UTC. Full method.