---
title: "Reconstructed Slides: No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer"
category: "slides"
video_id: "rmvDxxNubIg"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer

## Source Video
[No Vibes Allowed: Solving Hard Problems in Complex Codebases – Dex Horthy, HumanLayer](https://www.youtube.com/watch?v=rmvDxxNubIg)

## Method
This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

## Reconstructed Slides
![[assets/reconstructed-slides/rmvDxxNubIg/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `167.03`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.75`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.24`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.71`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `150.97`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `178.31`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.83`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `173.55`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.37`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.3`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.43`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.43`
![[assets/reconstructed-slides/rmvDxxNubIg/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.65`
## Dense Scene-Detected Slide Candidates
- [[youtube-rmvDxxNubIg-dense-slides]]