---
title: "Slides: Recursive Coding Agents - Raymond Weitekamp, OpenProse"
category: "slides"
video_id: "3hXJI2q0Jz8"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Recursive Coding Agents - Raymond Weitekamp, OpenProse

## Source Video
[Recursive Coding Agents - Raymond Weitekamp, OpenProse](https://www.youtube.com/watch?v=3hXJI2q0Jz8)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/3hXJI2q0Jz8/slide-001.jpg]]

OCR text:

> Recursive Coding Agents
> . ‘ BT

![[assets/slides/3hXJI2q0Jz8/slide-002.jpg]]

OCR text:

> MOTIVATION
> Weallwantoutcomes.
> Agents that work on ourbehalf-reliable co-workers-while we're out on a hike.
> The bottleneckisnot intelligence. It'sreliability.lt'strust.
> One day-my agents buildme a full SaaS app froma single prompt.
> The next day - they empty the entire contents of my Solana wallet.

![[assets/slides/3hXJI2q0Jz8/slide-003.jpg]]

OCR text:

> THESIS
> Today'sagents are
> mismanaged geniuses
> The intelligence is there.
> The missing layer ishow we specify.manage,reuse,and verily the work
> stopBabysitingAgentsstart
> Authoring Outcomes
> TURINGPOST-RAYMONDWEITEKAMP
> ALEXZHANG·ZEDLI·OMARKHATTAB
> Stop Babysitting Agents,Start Authoring Outcomes
> TheMismanaged Geniuses Hypothesis

![[assets/slides/3hXJI2q0Jz8/slide-004.jpg]]

OCR text:

> Context itself is the ee ;
> object of computation ee
> ane ao a _ 7
> Recourse - }
> eur ee 7 7
> ry a
> eS
> : s
> | ; *

![[assets/slides/3hXJI2q0Jz8/slide-005.jpg]]

OCR text:

> THE RLM RUDRIC
> Lots of things feel close.
> Executable
> Prompt
> Codecalls
> Model picks
> State stays
> environment
> extenalized
> She model
> decomposition
> symbolle
> Plain long-context call
> Coding agents +subagents
> ing loops
> Hardcoded map-reduce
> -OARLM
> Recursive Language Model
> Open the RLMrubric

![[assets/slides/3hXJI2q0Jz8/slide-006.jpg]]

OCR text:

> OpenProse explicitly declares subagent work
> PRR eae cae ee eS ilamenloin he ats Seo Lene cmir Te)
> ag age
> ?

![[assets/slides/3hXJI2q0Jz8/slide-007.jpg]]

OCR text:

> Trust is
> reliability
> wale
> . paradigm of
> Recursive laltcse selec Cites
> Coding Cofel na oLeL Ca
> Agents
> Coding agents -
> can be RLMs 7
> fi " ; fi a
> on-) a
> - , is 3
> ¥


## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.