SE Radio 719: Birol Yildiz on Building an Agentic AI SRE

SE Radio 719: Birol Yildiz on Building an Agentic AI SRE

Birol Yildiz, CEO and co-founder of iLert, joins host Kanchan Shringi to explore how iLert built an AI SRE — an autonomous agent for handling production incidents — and what the experience revealed about building AI agents in the real world. Birol explains why incident response is a fundamentally agentic problem, where the unpredictability of novel incidents makes rule-based runbooks insufficient and reasoning models essential. He describes how the AI SRE evolved from an early browser-based approach to its current architecture, built around two key ingredients: reasoning models and the Model Context Protocol.

The conversation examines the four layers of the AI SRE in depth: an orchestration layer that routes requests and abstracts model providers; a knowledge layer built on plain text memory and agentic search rather than vector databases; an evaluation framework based on recorded live investigations replayed against new model versions; and a human-in-the-loop constraint layer. The episode concludes with practical advice for teams building agents: own your context completely, avoid off-the-shelf frameworks that obscure what enters the model, and get out of the way of the reasoning model rather than over-prescribing its steps.

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Episoder(742)

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SE Radio 736: Sahil Walia on Apache Iceberg

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SE Radio 732: Jason Gorman on The Effective Use of AI For Software Development

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5 Aug 57min

SE Radio 731: Sonali Varde on AI and the Engineering Manager Role

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SE Radio 730: Birgitta Boeckeler on Harness Engineering for AI Agents

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