Loading video player...
What is an AI SRE? Production down at 3 AM? AI SREs are transforming incident response from hours to minutes. This video explains what makes a true AI Site Reliability Engineer different from basic ChatGPT integrations and why multi-agentic systems matter for production reliability. Justin Smith breaks down what an AI SRE actually is, why it requires more than an out-of-the-box LLM, and how agentic capabilities like hypothesis-driven reasoning and institutional knowledge integration are changing DevOps and SRE workflows. What You'll Learn: - What defines a true AI SRE vs. basic AI tooling - The 3 biggest problems with using raw LLMs in production - 4 key agentic capabilities that enable autonomous incident response - How AI SREs transform MTTR (Mean Time To Resolution) - Why this matters right now for reliability engineering Timestamps: 0:00 - Intro 0:22 - What is an AI SRE? 1:21 - Why is it hard to build an AI SRE? 2:45 - What makes an AI SRE agentic? 4:15 - How does an AI SRE transform your workflow? 4:47 - Why adopt an AI SRE now? Learn more about Resolve AI at https://resolve.ai and stay up to date: • Twitter/X: https://x.com/resolveai • LinkedIn: https://linkedin.com/company/resolveai/ • Blogs: https://resolve.ai/blog