Assertion certainty 4/5 debate potential 1/5

Truell: Cursor processes over 500 million daily model calls on custom inference

Michael Truell · Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters · Y Combinator · Jun 11, 2025 · at 19:43

Michael Truell, CEO of Anysphere (the company behind Cursor), discusses the scale of Cursor's internal AI inference infrastructure with Garry Tan.

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“Now in Cursor, we do over half a billion model calls per day on our own inference.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Michael Truell

Disclosure
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“Yeah, the goal with the company is to replace coding with something that's much better.”
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Prediction Not checkable as stated
Truell: Software creation will move to higher abstraction levels within a decade
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Opinion
Truell: 'Vibe coding' doesn't work for large professional codebases
“I think that the whole idea of kind of vibe coding or coding without really looking at the code and understanding it doesn't really work. There are lots of end order effects. You know, if you're dealing with millions of lines of code and dozens or hundreds of …”
Michael Truell Jun 11, 2025 ▶ 2:31 Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters · Y Combinator
Prediction Not checkable as stated
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“And I think that the game in the next six months to a year is to make both of those, you know, an order of magnitude more useful.”
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Insight
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“And then, you know, one thing I will note kind of harkening back to a last response is that even if you had something you could talk to that was human level at coding, Or faster and better, better than a human at coding, you know, sort of the skill of an entir…”
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Assertion Not checkable as stated
Truell: Major AI labs are currently bottlenecked by software engineering capacity
“The next AI model, which, you know, if you talk to the labs, largely they're bottlenecked on engineering capacity.”
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