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Steve Yegge

Steve Yegge

@steve-yegge · 29 positions · On ppll ↗

Software engineer of four decades who spent years at Amazon and Google, wrote the Stevey's Blog Rants essays, and co-authored the book Vibe Coding with Gene Kim.

Steve Yegge did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

2 of Steve Yegge's claims fit 2 mental models. Most often: Bottlenecks, Exponential growth.

Models we see in what they say

Our reading: their claim applies the idea without naming it. The claim is theirs; filing it here is ours.

Bottlenecks

A system moves only as fast as its narrowest point; speed up anything else and nothing changes.

Used by 89 others

AI's business results are lagging because organisations have a low tolerance for non-determinism, not because the models are not good enough.

  1. Steve Yegge Software engineer of four decades who spent years at Amazon and Google My my feeling is that probably people have a low tolerance for non-determinism. And these things are fundamentally non-deterministic. So, they can't just go replace customer call center software because they they could be wrong. From IDEs to AI Agents with Steve Yeggeyoutube.com · 11 Mar 2026 · 0:55:33 into the videoAll korrents from this video
    My my feeling is that probably people have a low tolerance for non-determinism. And these things are fundamentally non-deterministic. So, they can't just go replace customer call center software because they they could be wrong.

    Watch from 0:55:33 plays here

    ↗From IDEs to AI Agents with Steve Yeggeyoutube.com

    11 Mar 2026 · video · 1h 32m · spoken · machine transcript

Exponential growth

Growth that doubles looks like nothing for a long time and then like everything; intuition is linear and gets it wrong.

Used by 13 others

The scaling curve really is S-shaped, but there are at least two cycles left in it, which means models sixteen times smarter and all knowledge work subsumed.

  1. Steve Yegge Software engineer of four decades who spent years at Amazon and Google But, I can tell you that there are at least two more cycles left in this, and that means they will be at least 16 times smarter than they are today, and that is going to cause all of knowledge work to be subsumed by this stuff. From IDEs to AI Agents with Steve Yeggeyoutube.com · 11 Mar 2026 · 1:06:57 into the videoAll korrents from this video
    But, I can tell you that there are at least two more cycles left in this, and that means they will be at least 16 times smarter than they are today, and that is going to cause all of knowledge work to be subsumed by this stuff.

    Watch from 1:06:57 plays here

    ↗From IDEs to AI Agents with Steve Yeggeyoutube.com

    11 Mar 2026 · video · 1h 32m · spoken · machine transcript