---
title: "Reconstructed Slides: How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf"
category: "slides"
video_id: "bVNNvWq6dKo"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf

## Source Video
[How Windsurf writes 90% of your code with an Agentic IDE - Kevin Hou, Windsurf](https://www.youtube.com/watch?v=bVNNvWq6dKo)

## 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/bVNNvWq6dKo/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.05`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.82`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.32`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.82`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.8`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.95`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.22`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.26`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `152.81`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.63`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.11`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.95`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.1`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.66`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.03`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-016.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `158.0`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-017.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.14`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-018.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.44`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-019.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.21`
![[assets/reconstructed-slides/bVNNvWq6dKo/slide-020.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.38`
## Dense Scene-Detected Slide Candidates
- [[youtube-bVNNvWq6dKo-dense-slides]]