RunLLM
@RunLLM
The AI SRE for mission-critical systems that provides transparent investigations, evidence-backed root cause analysis, and continuous runbook improvements.
You might like
Trillion dollar data center buildouts are all the rage. Why is all of this kicking off at once? The infrastructure investment we're seeing tells us a lot about the future of inference and the economics of intelligence. @profjoeyg and I break down why intelligence might not be…
"Build opinionated products" is not new advice, but it's more important than ever. If you're not careful, your agents can be everything to everyone. That might sound wonderful at first, but it's going to cause you headaches later. Here's why 👇
🗓️ ICYMI: Run of the Week | Oct 27, 2025 AI Tech Debt + AI Code vs Reliability + AI for AI 📌 Can AI Agents Clean Up Our Tech Debt? As soon as we learn to build better software, we create debt. And not only in code, but also knowledge, processes, and communication. Vikram…
For the most part, everyone's use of AI today is synchronous and interactive... but it doesn't have to be that. As agents proliferate, we'll see more and more agents working in the background, doing things for us that we didn't want to bother doing ourselves. The most obvious…
What happens when your customers aren’t people, but other AI? The next generation of successful software won’t just use AI. It will serve it. In Ep 48 of LLMs on the Run, @profjoeyg (Joey) looks at what happens when AI becomes both the provider and the customer — and how that…
Your SRE team is about to go bankrupt—and AI coding tools are why. Every CTO celebrates the productivity gains: 2× throughput, 50% faster development. But AI-generated code enters production with zero ownership. Reading code is not the same as writing it. The hidden costs: ✅…
🗓️ ICYMI: Run of the Week | Oct 20, 2025 AI with depth + AI finds outages before customers do + Humans slow AI Down ⚖️ Are Narrowly Scoped Agents More Valuable Than Generic Ones? @profjoeyg and @vsreekanti argue that general-purpose agents like meeting notetakers may be sliding…
What happens when people become the bottleneck holding AI back? In Ep 47 of LLMs on the Run, @profjoeyg (Joey) explores a future where AI agents like Cursor write code, debug issues, and even file support tickets when they hit a wall — and where human-run systems can’t keep up.…
Over the last year, AI companies have either moved towards building broader products or narrower ones. Which one's better? @profjoeyg and I have some opinions: The post this week explores why narrowly-scoped agents are beginning to deliver more value than generic platforms 👇
🙀 You know what sucks worse than having an outage? When your customers have to tell you it’s happening. Dashboards are green. No alerts are firing. And yet your customers — and your colleagues — are lighting you up. Can AI-powered detection systems catch what everyone else…
🗓️ ICYMI: Run of the Week | Oct 13, 2025 OpenAI vs Anthropic + Tribal Knowledge + Dumb questions 🛍️ The AI Frontier: Is OpenAI a Consumer Company Now? @profjoeyg and @vsreekanti observe that a year ago, OpenAI seemed built for developers while Anthropic focused on end users.…
Most “AI support bots” stop at reading your docs. What if your AI could actually read your logs, inspect your backend, and help fix the issue? That’s the idea @profjoeyg (Joey) explores in Ep 46 of LLMs on the Run. He explains why the next wave of support AI won’t just answer…
What if people weren’t afraid to ask “dumb” questions? AI might finally make that possible. In Ep 45 of LLMs on the Run, @profjoeyg (Joey) looks at how AI-powered support changes the relationship between people and technology. When users interact with an AI support engineer,…
Every SRE team has a few engineers who just know. They seem to spot root causes before they even open a dashboard. But when they leave, the know-how leaves with them. That’s why teams build runbooks and documentation—but keeping them current is a Sisyphean task. As systems…
🗓️ ICYMI: Run of the Week | Oct 6, 2025 AI Predictions + Incident Intelligence + Celebrating 100 Posts 🎉 The AI Frontier: Our 100th Post Makes Bold AI Predictions After 100 posts, @profjoeyg and @vsreekanti have earned the right to speculate. Enterprise adoption, platform…
United States Trends
- 1. Max B 10.6K posts
- 2. Alec Pierce 1,873 posts
- 3. Kyle Pitts 1,016 posts
- 4. Bijan 2,164 posts
- 5. Penix 1,719 posts
- 6. Badgley N/A
- 7. #Colts 2,215 posts
- 8. Zac Robinson N/A
- 9. #ForTheShoe 1,317 posts
- 10. #Talus_Labs N/A
- 11. $LMT $450.50 Lockheed F-35 N/A
- 12. $SENS $0.70 Senseonics CGM N/A
- 13. Good Sunday 74K posts
- 14. #Falcons 1,189 posts
- 15. Tyler Allgeier N/A
- 16. Dee Alford N/A
- 17. $APDN $0.20 Applied DNA N/A
- 18. #AskFFT N/A
- 19. JD Bertrand N/A
- 20. Cam Bynum N/A
You might like
-
Joey Gonzalez
@profjoeyg -
Robert Nishihara
@robertnishihara -
Woosuk Kwon
@woosuk_k -
Zhuohan Li
@zhuohan123 -
ray
@raydistributed -
Jonathan Frankle
@jefrankle -
Andy Pavlo (@andypavlo.bsky.social)
@andy_pavlo -
MLflow
@MLflow -
Conor Power
@conor_power23 -
Jignesh Patel
@pateljm -
Romil Bhardwaj
@bromil101 -
Vikram Sreekanti
@vsreekanti -
Zhanghao Wu
@Michaelvll1 -
Natacha Crooks
@siobhcroo -
Daniel Chesley
@DanielChesley
Something went wrong.
Something went wrong.