Arena.ai· @arena · X·· 2 天前AI 评分50
AI 导读
Arena 发布视频，UC Berkeley Sky Computing Lab 博士生、前 Arena 实习生 @melissapan 对比 Claude Code、Codex 与 Pi 三个编码智能体，探讨模型周围的系统如何影响成本和性能。她报告了三个发现，其中一个是 harness 的选择对成本的影响大于对准确率的影响，完整视频见 https://youtu.be/4R8qZGtEnAE。
正文
Claude Code vs Codex vs Pi: which coding agent wins?
@melissapan, PhD candidate at UC Berkeley’s Sky Computing Lab and previous @arena intern, explored the hidden “harness tax”: how the system surrounding an AI model affects its cost and performance.
She reports three surprising findings. One: harness choice impacts cost more than accuracy.
To learn about all three findings, and what they mean for building useful coding agents on realistic budgets, check out the full video here: https://youtu.be/4R8qZGtEnAE
来源：Arena.ai · x.com