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OceanBase launches Data In The Loop agent optimization series

AI summary

OceanBase Community’s “老纪的技术唠嗑局” has launched the Data In The Loop series to examine how agent run records, evaluations, and human feedback can guide optimization. The article proposes tracking failures and related context across development, testing, deployment, monitoring, and real-world use, with the aim of reusing debugging experience in later iterations. The series is also developing related tools, but the announcement provides no released tool or validated results.

In-depth insight

The series offers a concrete framework for connecting agent observability and evaluation with subsequent development decisions, although its practical claims remain based on a first-party announcement.

Before you disturb the system in any way, watch how it behaves.

观其行,究其理,而后改之。

——多内拉·梅多斯,《Dancing With Systems(与系统共舞)》[1]

楔子

今天,我们会在“老纪的技术唠嗑局”里,开设一个新的系列专题,名字叫做 Data In The Loop。

这个系列专题,来自一个很实际的愿望:当你花时间调试一个 Agent,应该能够看清楚自己究竟改好了什么,也能够把这一次的经验带到下一次开发和优化里。

#OceanBase#Data In The Loop#LangChain#Agent Development Lifecycle

Original · 7 min readRead the original
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