RunLLM @RunLLM

The AI SRE for mission-critical systems that provides transparent investigations, evidence-backed root cause analysis, and continuous runbook improvements. runllm.com Joined April 2022

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RunLLM @RunLLM

7 hours ago

🎬 AI Hot Take: @joe_hellerstein, UC Berkeley Professor “The right way to prioritize AI? Just get your feet in the water.” Joe says companies should begin with low-stakes use cases, replacing “soft” human processes. Once you build fluency and trust, you can move toward…

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RunLLM @RunLLM

a day ago

🎬 AI Hot Take: @profjoeyg, UC Berkeley Professor & Director of the Sky Computing Lab “Better serving technology is the engine in AI, but its not the product. In the next five years, we’re going to see a lot of centralization.” Joey says the real value won’t come from every…

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Vikram Sreekanti @vsreekanti

a day ago

As AI applications work their way into more complex use cases, @profjoeyg and I are seeing two archetypes emerge in how applications are built: Artistry 🎨 vs. Engineering 🤖. AI Artist agents are given creative freedom to solve problems but freedom can sometimes lead to bad…

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RunLLM @RunLLM

3 days ago

Your on-call feed isn’t just noisy. It’s untrustworthy. Here’s how an AI SRE restores trust without black-box AI. The "haystack" is large: ⏰ Google SRE: target ≤2 actionable pages per shift; many teams exceed it ⏰ Atlassian: 60% of responders say floods bury the real signals…

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RunLLM @RunLLM

6 days ago

🎬 AI Hot Take: @vsreekanti, Co-founder & CEO of RunLLM “Easier AI coding has led to a glut of low-quality AI apps.” Vikram warns that while it’s never been easier to spin up a demo, building thoughtful applications that stand the test of time is what really matters. 👀 Full…

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Vikram Sreekanti @vsreekanti

a week ago

Whether you like GPT-5 as a consumer or not, its usage in AI applications is distinctly different from previous flagship model releases. @profjoeyg and I have been thinking about why, and it's clear that there's an emerging tension between what's good for OpenAI's consumer…

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RunLLM @RunLLM

a week ago

🎬 AI Hot Take: @shirshanka, Co-founder & CTO of @DataHubCloud “We’re entering a world that’s a lot more machine-oriented, a lot more machine-scale.” Shirshanka says we’re headed toward AI agents that don’t just query data — they can autonomously discover it, transform it,…

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RunLLM @RunLLM

2 weeks ago

MTTR is the ER metric for SRE. It shows how fast you stop the bleeding when systems fail. But elite teams don’t just measure speed — they build readiness. With AI, they cut MTTR and strengthen resilience. 👉 Read more here → bit.ly/4n4QVUH #SRE #DevOps…

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RunLLM @RunLLM

2 weeks ago

🎬 AI Hot Take: @dpatil, Former U.S. Chief Data Scientist “When you’re early, you’re putting principal in the bank. The ability to learn compounds — and that’s essential.” DJ says the earlier you start working with AI, the more your learning compounds over time. The…

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RunLLM @RunLLM

2 weeks ago

🗓️ ICYMI. Run of the Week | Aug 24, 2025 RunLLM insights, updates, and product drops from the past week — all in one place. Now with a whole lot more! 📌 The AI Frontier: Do you have too many AI products? 🤖 We've quickly reached the "I have too many products!" stage of AI. So…