<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: zigapotocnik</title><link>https://news.ycombinator.com/user?id=zigapotocnik</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 08 Jul 2026 20:11:25 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=zigapotocnik" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by zigapotocnik in "Ask HN: What are tools you have made for yourself since the advent of AI?"]]></title><description><![CDATA[
<p>The "expose it as MCP so AI can query it" pattern is one I keep seeing work really well in practice. We did something similar for business metrics in Databox - the interesting design question was whether to expose raw data or pre-aggregated metrics. We ended up with metrics (with dimension breakdowns) because agents hallucinate less when they don't have to decide how to aggregate themselves. Curious if you ran into anything similar with the sqlite summaries - do you find the AI-generated summaries more useful than raw command history?</p>
]]></description><pubDate>Tue, 09 Jun 2026 11:35:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=48459736</link><dc:creator>zigapotocnik</dc:creator><comments>https://news.ycombinator.com/item?id=48459736</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48459736</guid></item></channel></rss>