<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Sdk on CuraDevOps</title><link>https://curadevops.metacog.co.kr/tags/ai-sdk/</link><description>Recent content in Ai-Sdk on CuraDevOps</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 26 Aug 2026 11:21:00 +0000</lastBuildDate><atom:link href="https://curadevops.metacog.co.kr/tags/ai-sdk/index.xml" rel="self" type="application/rss+xml"/><item><title>Grafana open-sources internal Go SDK for building AI/LLM features</title><link>https://curadevops.metacog.co.kr/insights/2026-08-26-the-grafana-ai-sdk-for-go-a-shared-foundation-for-building-a/</link><pubDate>Wed, 26 Aug 2026 11:21:00 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-08-26-the-grafana-ai-sdk-for-go-a-shared-foundation-for-building-a/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Grafana&amp;rsquo;s experience — multiple teams independently reinventing LLM client abstractions before centralizing into a shared SDK — is a recognizable pattern for any org beginning to scale AI feature development; no near-term tooling decision follows from this, but it&amp;rsquo;s a useful reference for how to govern internal AI adoption.&lt;/li>
&lt;/ul></description></item></channel></rss>