Arena.ai· @arena · X·· 9 小时前AI 评分47
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UC Berkeley Sky Computing Lab 的 @melissapan 对比了 Claude Code、Codex 和 Pi 三款编程智能体，研究模型外围系统带来的"harness 税"如何影响成本与性能。她发现 harness 选择对成本的影响大于对准确率的影响，并共报告三项意外发现。完整视频探讨了如何在现实预算下构建实用的编程智能体。
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