{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"SE Radio 719: Birol Yildiz on Building an Agentic AI SRE","description":"Birol Yildiz, CEO and co-founder of iLert, joins host Kanchan Shringi to explore how iLert built an AI SRE \u2014 an autonomous agent for handling production incidents \u2014 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. ","author_name":"Software Engineering Radio - the podcast for professional software developers","author_url":"https:\/\/www.se-radio.net","html":"