Building observability tools that let AI agents help run production systems
Original: How we built our agent-native observability stack
Source: x.com ↗
Who: Posted by @raunak (identity not further confirmed from available information), writing about infrastructure work at Reducto, an AI company.
What's new: Reducto built what they call an — a way to let an AI agent monitor and help operate their production software system, rather than simply letting humans chat with a log-search tool.
How it works: Instead of the typical approach of pointing a chatbot at raw logs, Reducto structured their system so that an could understand the state of their well enough to reason about it and help operate it.
Caveats: The source article is truncated and does not provide specific implementation details, architecture choices, metrics, or comparisons to existing tools, so the full technical picture cannot be assessed from what is publicly available.