📄 中文摘要
在Terminal Bench 2.0的评测中，我们的编码智能体从前30名提升至前5名，主要得益于对工具的改进。工具工程的目标是优化智能体的表现，通过自我验证和追踪等方法显著提高了智能体的效率和准确性。自我验证机制帮助智能体在执行任务时进行自我检查，从而减少错误率。追踪功能则使得智能体能够更好地理解和分析其决策过程，进而优化其行为。这些改进不仅提升了智能体的性能，也为未来的研究提供了新的思路和方向。
通过工具工程提升深度智能体的性能
出处: Improving Deep Agents with harness engineering
发布: 2026年2月17日
📄 English Summary
Improving Deep Agents with harness engineering
The coding agent improved its ranking from Top 30 to Top 5 on Terminal Bench 2.0, primarily due to enhancements in harness engineering. The goal of harness engineering is to optimize the performance of deep agents. Techniques such as self-verification and tracing have significantly increased the efficiency and accuracy of the agents. The self-verification mechanism allows agents to check their work during task execution, reducing error rates. Meanwhile, the tracing functionality enables agents to better understand and analyze their decision-making processes, leading to optimized behaviors. These improvements not only enhance agent performance but also provide new insights and directions for future research.