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[Fix] add patches to the Anyshift blog
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_posts/2026-03-11-ace-in-production.md

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title: "Agentic Context Engineering in Production: How AI Agents Build Institutional Expertise"
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title: "Deploying ACE in Anyshift’s SRE Pipeline: Evolving Agents for Faster and Better Root Cause Analysis"
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thumbnail-img: /assets/img/anyshift_io_logo.jpeg
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share-img: /assets/img/anyshift_io_logo.jpeg
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author: Ghazi Felhi (Anyshift) and the ACE team (Stanford / Berkeley / SambaNova)
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author: Ghazi Felhi (Anyshift) and the ACE team (Stanford / SambaNova / Berkeley)
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image: /assets/img/anyshift_io_logo.jpeg
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✍️ **TLDR: ACE has been running in production at Anyshift since Oct. 2025, enabling agent-driven root-cause analysis to run 30% faster while significantly improving tool selection, correctness, and impact analysis.**
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**[[💡 About Anyshift]](https://www.anyshift.io/)   [[💻 ACE Source code]](https://github.com/ace-agent/ace)   [[📚 ACE Paper]](https://arxiv.org/pdf/2510.04618)**
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Your AI agent just made the same mistake for the third time.
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An alert fires. Your AI SRE agent spins up, queries the monitoring stack, pulls logs, traces dependencies. Fifteen minutes later, it delivers a root cause analysis. Not bad. Except it spent the first three minutes querying a metric that doesn't exist under that name in this environment. And it didn’t begin by checking the database connection patterns that a human SRE would validate immediately, because they’ve seen this exact failure mode before.
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*ACE (Agentic Context Engineering) was developed by researchers at Stanford University and SambaNova Systems. The paper was accepted at ICLR 2026. Anyshift has been running ACE in production since October 2025.*
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*ACE (Agentic Context Engineering) was developed by researchers at Stanford University, SambaNova Systems, and UC Berkeley. The paper was accepted at ICLR 2026. Anyshift has been running ACE in production since October 2025.*

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