---
title: "Dense Slides: Making Codebases Agent Ready – Eno Reyes, Factory AI"
category: "slides"
video_id: "ShuJ_CN6zr4"
sourceLabels: ["Captured video frames", "Local OpenCV slide-region detection"]
---

# Dense Slides: Making Codebases Agent Ready – Eno Reyes, Factory AI

## Source Video
[Making Codebases Agent Ready – Eno Reyes, Factory AI](https://www.youtube.com/watch?v=ShuJ_CN6zr4)

## Method
This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

## Cropped Visible Slides
![[assets/dense-slides/ShuJ_CN6zr4/slide-001.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/ShuJ_CN6zr4/slide-001.html)
- AI slide classifier: `title_card` confidence `0.93`
- Text source: agent_vision.

Slide text:

> FACTORY
> Building Autonomous Engineering Systems
> or, how do we make codebases that are agent ready?

![[assets/dense-slides/ShuJ_CN6zr4/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/ShuJ_CN6zr4/slide-002.html)
- AI slide classifier: `title_card` confidence `0.91`
- Text source: agent_vision.

Slide text:

> FACTORY
> Building Autonomous Engineering Systems
> or, how do we make codebases that are agent ready?


Classification audit: `raw/sources/slide-ai-classification/dense/ShuJ_CN6zr4/audit.json`