Dense Slides: Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)

Source Video

Leadership in AI Assisted Engineering – Justin Reock, DX (acq. Atlassian)

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

Recreated text/layout view: open HTML recreation
AI slide classifier: title_card confidence 0.94
Text source: agent_vision.

Slide text:

The AI strategy playbook for senior executives

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Mixed slide with embedded article screenshot and chart; OCR will read the dense text more reliably than manual transcription.

Slide text:

more productive. Here's how it measures that. Sundar Pichai says Al is making Google engineers 10%

By Huh Lrdsy

Against Expert Forecasts and Developer Self-Reports, Early-2025 Ai Slows Down Exporienced Opon-Source Dovelopers meir

In thr Rc!, 16 detopers wth moderte A +prance complete 2ke ura in largt ind compher Drojtt on which thty hiit t imttot o S ytst of orior tit'itnce.

Change in time when A 50% HO

Economles tipet trtchLt Hl epet tortcrt Drsthpt taecil Drlope iLrees dunrgtiuy ooaitd

AIE/LEAD LEADERSHIP IN AI-ASSISTED ENGINEERING

Google DeepMind PrEsented by JUSTIN REOCK 7 Deputy CTO DX

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Dense chart slide with small labels and a quantitative callout; OCR is appropriate.

Slide text:

Al seems to deliver modest gains in quality metrics

Average Change Confldence DXl drlver for Al Users vs. Non-Al Users

Data from t9,?51 doveioprt 18 pt

Avtrsgo chtrge contldence score: Al usert vs. non users gain max

DX1 Score Gain from 2.6 Polnt Average using Al

15 pt loss max

DX

AIE/LEAD LEADERSHIP IN AI-ASSISTED ENGINEERING

Google DeepMind PReSented BY JUSTIN REOCK / Deputy CTO DX

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Dense chart slide with many per-company bars and small labels; OCR is appropriate.

Slide text:

Industry averages hide the big picture of quality impact

Per-company Change Failure Rate% impact for Al Users vs. Non-Al Users

Data from 61 compsalts.

Change Failure Rate % Impact Per-conpsty Change Falure Rate lmpsct writh Al sdoption

DX

G\OB/0O

AIE/LEAD LEADERSHIP IN AI-ASSISTED ENGINEERING

Google DeepMind Presented b? JUSTIN REOCK / Deputy CTO: DX

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.96
Text source: agent_vision.
OCR decision: ready — Chart-heavy slide with small labels; OCR is appropriate even though the main title is readable directly.

Slide text:

Engineering the future of AI

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: advanced OCR rapidocr-live/bright-screen/opencv-adaptive.
OCR decision: ready — Table slide with dense small text and multiple columns; OCR is appropriate.

Slide text:

Measuring GenAl impact

Metric Type Good For Not Good For Challenges

Telemetry metrics developer output Measuring impact on Understanding how toois are being used Quantitying ROl Limited, possibly Inaccurate Incomplete story Insight

Experlence sampling Quantitying ROl Identifying best use cases Colocting targe amounts ot data at once time Difficut to set up Must be run over perlod of

Self-reported developer satsfaction, Measuring adoption, productivity Quantifying ROl Particlpatlon rates Can onty be run periodically

GB0の

AIE/LEAD LEADERSHIP IN AI-ASSISTED ENGINEERING

Google DeepMind Prtsfnred ey JUSTIN REOCK / Deputy CTO DX

Classification audit: raw/sources/slide-ai-classification/dense/PmZDupFP3UM/audit.json