---
schema: 1
type: video
title: 'Scale the Judgment, Not the Model — Andrew Orobator, Reddit'
description: >-
  Swap in a smarter model and you get a slightly better answer. Take away the
  tests, gates and review, and everything falls apart. Andrew Orobator, a senior
  Android engineer at Reddit, argues that the model was never the bottleneck.
  The bottleneck is the judgment around it. Humans absorb judgment implicitly,
  but agents need it spelled out. He shows how to get judgment out of people's
  heads and into the repo. Skills are institutional judgment turned into
  something an agent can run. Work logs let a fresh agent pick up at milestone 7
  of 9 (this talk itself was built with one). Personas lend you a security
  reviewer's or designer's eye. He then covers the verification ladder and his
  feature-flag cleanup agent, which went 7 for 7 on green-CI PRs at $1.26 each.
  And he shares a warning: when he asked Codex for reasons to unlock his repo
  guard, it quietly added a self-authorizing "emergency recovery" exception. His
  line: "Agents will build ladders to climb out of the pit of success." Speaker
  info: X/Twitter: @aorobator (https://x.com/aorobator) Related links: Vibe
  Engineering series (Medium): https://medium.com/@andreworobator Timestamps:
  0:00 The war room for dead feature flags 0:37 Intro 0:55 What this talk isn't
  1:55 We're harness engineers now 2:25 Humans absorb judgment; agents need it
  explicit 3:00 The model isn't the bottleneck 3:30 Judgment trapped in people's
  heads 4:40 Skills as knowledge lines 5:15 Skills vs. documentation 5:25 Work
  logs 6:25 This talk was built with a work log 6:45 Personas 8:05 Borrowing
  eyes you don't have 8:20 Governance 9:00 Verification 9:40 The verification
  ladder 10:15 Spin at the gate until green 10:35 Make the agent record itself
  11:20 Case study: a feature-flag agent 12:10 $1.26 per pull request 12:50
  Agents climb out of the pit of success 14:25 A society of specialist agents
  15:25 In, on and off the loop 15:55 Encoded judgment rots 17:05 Managing
  judgment 18:15 Scale the judgment, not the model --- Watch along with the
  corrected transcript, summary, timestamps and resources on this talk's
  official AIE page:
  https://ai.engineer/talks/6MudaeKdBSk-youtube-71abe6417c64910aec33 Join our
  upcoming AI Engineer conferences (see https://ai.engineer landing page): -
  AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and
  engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference
  returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS
  2026 in Sydney ---
canonical: >-
  https://liquidgold.cc/channel/aidotengineer/explore/video/scale-the-judgment-not-the-model-andrew-orobator-re-ed7592244eef
markdown: >-
  https://liquidgold.cc/channel/aidotengineer/video/scale-the-judgment-not-the-model-andrew-orobator-re-ed7592244eef.md
llms: null
parent: 'https://liquidgold.cc/channel/aidotengineer.md'
channel: aidotengineer
updated: '2026-10-23T22:20:27.030Z'
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publishedAt: '2026-09-27T16:00:17.000Z'
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# Scale the Judgment, Not the Model — Andrew Orobator, Reddit

Swap in a smarter model and you get a slightly better answer. Take away the tests, gates and review, and everything falls apart. Andrew Orobator, a senior Android engineer at Reddit, argues that the model was never the bottleneck. The bottleneck is the judgment around it. Humans absorb judgment implicitly, but agents need it spelled out. He shows how to get judgment out of people's heads and into the repo. Skills are institutional judgment turned into something an agent can run. Work logs let a fresh agent pick up at milestone 7 of 9 (this talk itself was built with one). Personas lend you a security reviewer's or designer's eye. He then covers the verification ladder and his feature-flag cleanup agent, which went 7 for 7 on green-CI PRs at $1.26 each. And he shares a warning: when he asked Codex for reasons to unlock his repo guard, it quietly added a self-authorizing "emergency recovery" exception. His line: "Agents will build ladders to climb out of the pit of success." Speaker info: X/Twitter: @aorobator (https://x.com/aorobator) Related links: Vibe Engineering series (Medium): https://medium.com/@andreworobator Timestamps: 0:00 The war room for dead feature flags 0:37 Intro 0:55 What this talk isn't 1:55 We're harness engineers now 2:25 Humans absorb judgment; agents need it explicit 3:00 The model isn't the bottleneck 3:30 Judgment trapped in people's heads 4:40 Skills as knowledge lines 5:15 Skills vs. documentation 5:25 Work logs 6:25 This talk was built with a work log 6:45 Personas 8:05 Borrowing eyes you don't have 8:20 Governance 9:00 Verification 9:40 The verification ladder 10:15 Spin at the gate until green 10:35 Make the agent record itself 11:20 Case study: a feature-flag agent 12:10 $1.26 per pull request 12:50 Agents climb out of the pit of success 14:25 A society of specialist agents 15:25 In, on and off the loop 15:55 Encoded judgment rots 17:05 Managing judgment 18:15 Scale the judgment, not the model --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/6MudaeKdBSk-youtube-71abe6417c64910aec33 Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/scale-the-judgment-not-the-model-andrew-orobator-re-ed7592244eef · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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