---
format: "aidr-story-markdown/v1"
id: "58e167770f5901f70d1cbb44b94b5666e14713cb5c73ce9da6cc5f4c37c5e8a8"
canonical_url: "https://aidr.today/58e16777?lang=en"
title: "Trust, but benchmark: How we let an AI agent optimize Elasticsearch"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
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published_at: "2026-09-17T13:52:53.000Z"
category: "Models"
topics: ["anthropic","claude","multi-agent","open-source"]
source_urls: ["https://lobste.rs/s/iul1vv/trust_benchmark_how_we_let_ai_agent"]
summary: "How we built an AI code optimization agent for Elasticsearch, and the harness that only lets a change through when the numbers hold up."
---

# Trust, but benchmark: How we let an AI agent optimize Elasticsearch

> [Open the canonical story](<https://aidr.today/58e16777?lang=en>)

**Published:** 2026-09-17T13:52:53.000Z
**Category:** Models
**Topics:** anthropic, claude, multi\-agent, open\-source

## Summary

How we built an AI code optimization agent for Elasticsearch, and the harness that only lets a change through when the numbers hold up\.

## Sources

- [Discussion](<https://lobste.rs/s/iul1vv/trust_benchmark_how_we_let_ai_agent>)