Agent Observability with OpenTelemetry
This is the ninth and final article in the series about AI-friendly architecture. Throughout the series, we talked about context, documentation, system observability, skills, agents, tools, MCP, secur
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This is the ninth and final article in the series about AI-friendly architecture. Throughout the series, we talked about context, documentation, system observability, skills, agents, tools, MCP, secur
This is the eighth article in the series about AI-friendly architecture. In the previous articles, we talked about context, documentation, observability, skills, Context Skills, agents, tools, MCP, gu
This is the seventh article in the series about AI-friendly architecture. So far, we have talked about context, documentation, observability, skills, and breaking knowledge into Context Skills. Before
This is the sixth article in the series about AI-friendly architecture. We have already discussed how code, documentation, and observability help agents understand systems. We also saw how skills can
This is the fifth article in the series about AI-friendly architecture. We have already discussed how agents find context, use skills, and work with specialized knowledge. Now we need to answer two qu
This is the fourth article in a series about AI-friendly architecture. We have already talked about context, documentation, and observability. Now I want to talk about a way to organize knowledge and
This is the third article in a series about AI-friendly architecture. We have already talked about how AI is like a new person joining a company and how important it is to connect code, documentation,
This is the second article in a series about AI-friendly architecture. In the first article, I explained how AI is like a new person joining a company and trying to understand a system for the first t
This is the first article in a series about AI-friendly architecture, a way of thinking about systems, context, and tools so that AI agents can work more effectively with real-world software. Maybe th