Naresh Jain 测试 harness 对编码智能体的影响
Naresh Jain 实测发现给前沿模型套 harness 反而多花 token，弱模型却能明显变强，省钱思路很实用。
Naresh Jain 在 martinfowler.com 发文对比编码智能体有无 harness 的表现。
测试发现 harness 会让前沿模型消耗更多 token 而收益很小。但对更弱、更便宜的模型，harness 能明显提升其有效性。
结论是 harness 的价值取决于模型本身的强弱。
Naresh Jain compares coding agents with and without a harness. He found it made a frontier model more expensive in tokens for little gain, but make a weaker (and cheaper) model more effective. martinfowler.com/articles/are-h…📊 18 ⚡
This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include 智能体, 编程助手, MCP/工具.
Source attribution: curated from Martin Fowler (@martinfowler).
