---
title: "Reconstructed Slides: 2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding"
category: "slides"
video_id: "7Dtu2bilcFs"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: 2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding

## Source Video
[2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding](https://www.youtube.com/watch?v=7Dtu2bilcFs)

## 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/7Dtu2bilcFs/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `171.1`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.85`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.41`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.44`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.39`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `178.32`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `155.18`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.14`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.21`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.33`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.61`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.92`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.01`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.28`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-015.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.84`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-016.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `178.25`
![[assets/reconstructed-slides/7Dtu2bilcFs/slide-017.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.02`
## Dense Scene-Detected Slide Candidates
- [[youtube-7Dtu2bilcFs-dense-slides]]