Reconstructed Slides: The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo
Source Video
The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo
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

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
title_cardconfidence0.99 - Text source: agent_vision.
Slide text:
The State of AI Code Quality
Hype vs. Reality
Itamar Friedman
Qodo CEO and Co-Founder

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: advanced OCR
rapidocr-live/bright-screen/contrast. - OCR decision: ready — Dense small text and embedded screenshot content are better handled by OCR.
Slide text:
3 Cloud Outages in 3 Weeks
Companies are pushing to move faster... OFFLINE CLOUD
Companies are reporting Al-generated code grows: 10% → 30% → 50% ERROR 503
Related?
each commit is generated or shapedby Al 65%of developers say atleast a quarterof
nowAl-influenced. 15%saythatmorethan80%oftheircodeis
AIE/LEAD REALITY THE STATE OF AI CODE QUALITY: HY
Google DeepMind PRESENTED BY ITAMARFRIEDMAN/ Co-Founder&CEO opob

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.98 - Text source: advanced OCR
rapidocr-live/right-72/opencv-adaptive. - OCR decision: ready — Dense code/prompt screenshot text is best recovered with OCR.
Slide text:
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Secrets or senstre data stared on dhsk (uhese are handled by othot oroctsets)
ITY: HYPE VS. REALITY THE STATE OF AI
AMAR FRIEDMAN / Co-Founder & CEO opob

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: advanced OCR
rapidocr-live/bright-screen/opencv-adaptive. - OCR decision: ready — Dense agenda text and embedded report screenshot are better handled by OCR.
Slide text:
godo Part l: State of Al codlng adoptlon
Agenda
0 Sources: @Qodo,@sonar.@Faros codequality/reviewrelatedreport:
Of pull requests, and billions of lines of code. Sample size: thousands of developers, millions
AIE/LEAD Katelyn Lesse. ANTHROPIC Dan Shpper EVERY AsafBord Northwestern Mutual Michele Catasta Preplit MeKinsey Natasha Maniar &Company
Google DeepMind Presented Sy OP\C CURSOR Cognition FACTORY Graphite:e04j au

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.98 - Text source: agent_vision.
Slide text:
Engineering the future of AI
Productivity
Investment
Learning System Focused on Quality
With Agentic Quality
Agentic Code Gen
Code Gen

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
The Quality Crisis
How it Begins
1. AI code gen tools adoption is growing
2. AI productivity doesn't guarantee quality.
3. Teams lack frameworks for AI-era quality assurance.

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.98 - Text source: agent_vision.
Slide text:
The Catch and Crisis in Vibe Coding
1 More code
2 More PRs
3 Not less bugs/issues per line of code. (If not more).
4 Lines of codes are written faster than a developer can review.

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.97 - Text source: advanced OCR
rapidocr-live/right-72/opencv-adaptive. - OCR decision: ready — dense multi-column slide with small text and bullet lists
Slide text:
amsFace uality Issues That Modern Engineering qodo
Code-Level Problems Process:Level challenges
Functional Learning 0 Krowledge gaps n A-generated solulions
Non-functional Verification
O Secunty vdnerabihities n Algenerated code O Insufficitnt test coverage for new code O Poor error handing and edge case covcrage O (rconsistent coding standards and patteins Techncal debt accumulation Guardrails 0 Lack of Al output vakdation 0 Difficulty trackirg code provenance 0 Rushed or ncompkete code revevrs 0 tnsufficent guardrals for Al tools
O Integration and compatibility issues O (nadequate documentation Standards 0 Inconsistent quslity standards across teams
HQodo Stute of Al Code Cussty Report & SorrSourco Stste ot Code
ATE OF AI CODE QUALITY: HYPE VS. REALI
AMAR FRIEDMAN / Co-Founder & CEO opob

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.96 - Text source: agent_vision.
Slide text:
Code review as a gateway & gatekeeper to improve and govern code-level & process-level quality
Remembers, code review isn't only for code quality, it is also in order for the team to own and learn the code together

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
Why is AI Code Review Important?
More productive, higher quality
2x
When using AI code review there are double quality gain
47%
More productive when using AI code review

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.99 - Text source: agent_vision.
Slide text:
Qodo Code Review Stats
Guardrail that detects critical issues, boosts productivity
Sample size: ~1m PRs
17%
Of PRs contained issue with high severity (9-10)
80%
When AI review tool is enabled, 80% of PRs don't have any human comment or review

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.97 - Text source: advanced OCR
rapidocr-live/right-72/contrast. - OCR decision: ready — Three-column slide with smaller bullet text; OCR is likely cheaper and more reliable than manual transcription in this pass.
Slide text:
The Path Forward
Competitive Advantage Quality is a Al is a Tool, Not a Solution Iterate Tomorrow Start Today.
Establish Quaity Baselines.Multi·agent System.Your Context Engine
ShiftReviews Leftof Commit Code& TooksGovernance Al CodeReview
Document&Embed BestPractices Build Your Quality-specific MCPs.A QualityWorkflows
.Monior
opob
ATE OF AI CODE QUALITY: HYPE VS. REALI
AMARFRIEDMAN/ Co-Founder&CEO opob
Hidden Non-Slide Evidence
- `slide-007.jpg` —
speaker_stageconfidence0.99; speaker on stage, not a readable slide - `slide-010.jpg` —
speaker_stageconfidence0.99; speaker stage shot, no readable slide content - `slide-015.jpg` —
speaker_stageconfidence0.99; Speaker-on-stage wide shot with audience; no readable slide content.
Classification audit: raw/sources/slide-ai-classification/reconstructed/rgjF5o2Qjsc/audit.json