Arvid Kahl
speaker
22,801 appearances
96 recordings
1 series
first heard Aug 2024
last heard 3 Apr
Arvid Kahl’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 23 in all, peaking in Jan 2026 with 5.
Appearances
That's actually one of the reasons that I initially went with Miley Search.
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It had more kind of an HTTP request style of search instead of this deep nested JSON object stuff.
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But what I found was that now we have very capable agenti coding agents out there.
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And I could just tell the agent what I want the query to do and what I want the result to look like.
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And the agent, having been trained on millions of documents, millions of lines of code containing Elasticsearch in open search queries, well, that agent understands what they do and what the results should look like, and that is so much more capable than I am.
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Crafting not just the right query, I'll get there at some point, but also building the logic that would compose such a query reliably and testably.
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And this has been the game changer for me.
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I've been a big fan of agentic coding.
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Just listen to the last.
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10 or 30 or 40 episodes of this podcast, if you want any evidence of that.
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But the quality of these systems isn't just the code they write, it's also in the code I don't have to write.
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And maybe more importantly, the actual value is in the code I would never have written or could never have written or never would have wanted to write, but they can.
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And this particular hindrance of mine, where I wouldn't even have touched Elasticsearch, would have kept me from building the
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system that is now running extremely smoothly, extremely reliably, is highly customizable, and powers not only search, but now also internal reporting and analysis across the platform.
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I just would not have done it if I hadn't been able to tell the agent to do it for me.
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So big, big margin improvement over what the years before would have made impossible for me to build.
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Migration also gave me a reason to rework the filter and search interface of Podscan, which has been received very positively.
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It's more of a professional tool now than a quick lookup tool, because I was trying to kind of throw this submillisecond query speed thing into like a professional search mask, and that never really worked well.
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So if I ever wanted to build a simpler quick lookup experience.
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Experience, I can then layer this on top with a simple query and a solid caching system, which is very nice at this point.
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Showing 841–860 of 22,801 · page 43 of 1141
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