Modern CTO The AI SRE Hype and How to Get it Right with Yotam Yemini, CEO of Causely
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Oct 27, 2025 Yotam Yemini, CEO of Causely and expert in causal reasoning and analytics, dives deep into the AI SRE hype. He highlights the crucial differences between AI's actual capabilities and the overblown expectations. Yotam discusses how companies can leverage AI to enhance operations and improve developer productivity while stressing the importance of understanding language model limitations. He also shares insights into building a diverse team and the challenges organizations face in adopting AI solutions effectively.
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SRE Is Engineering Reliability Not Just On-Call
- Site Reliability Engineering (SRE) is about engineering reliability into systems, not just troubleshooting or being on-call.
- Yotam argues AI should be applied to that engineering mindset, not reduced to chatbots handling alerts.
LLMs Are Pattern Matchers, Not Miracle Workers
- Language models excel at pattern matching tasks like summarization and translating alerts.
- They are not magic and struggle with novel, emergent system behaviors that SREs face.
Apply LLMs Where Pattern Recognition Fits
- Use language models for appropriate SRE tasks like postmortem summarization and translating obscure alerts.
- Apply them where pattern recognition adds clear value, not as a standalone root-cause solver.