---
title: "Slides: The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo"
category: "slides"
video_id: "rgjF5o2Qjsc"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# 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](https://www.youtube.com/watch?v=rgjF5o2Qjsc)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/rgjF5o2Qjsc/slide-001.jpg]]

OCR text:

> opob
> The State of Al Code Quality
> Hype vs.Reality
> ItamarFriedman
> Qodo CEOand Co-Founder
> GoogleDeepMind

![[assets/slides/rgjF5o2Qjsc/slide-002.jpg]]

OCR text:

> ard 3 Cloud Outages in 7
> ot 3 Weoks aoe
> 7 _ ranere a
> a Reantsls
> 1OY » 20%. > SO.
> Related?
> 65% of developers say at least a quarter of i
> @ach connit is generatea or shaped by Al
> f ni
> il
> now Al-influenced.
> Naan REALITY THE STATE OF AI CODE QUALITY: H
> CP EEERMITEE «ITAMAR FRIEDMAN /co-Founders ceo “PAqodo

![[assets/slides/rgjF5o2Qjsc/slide-003.jpg]]

OCR text:

> Tye
> L
> allowed-tools description
> remote show，Read,Glob，Grep,LS,Task Bashgt diff:,Bash（git status:）,Bash(git log:*）,Bash(git show:*)，Bash(git on the current branch Completea securtyreview of the pend Sing changes
> Youarea seniorsecurityengineerconductingafocusedsecurityreviewof thechangeson this branch
> potentlThisisnota generalcodereview-focus ONLY on securitymplicationsnewly added bythis PR.Donot coment nexisting security concerms.
> CRITICALINSTRUCTIONS:
> 2.AVOIDSESktticalisesstecsrlowactfinings 4.EXCLUSiONS:Do NOTreport thefollowingissue types: 1.MINIMIZEFALSEPOSTIVES:Onlyflagissues whereyoure>8O%confident ofactual 3.FOCUS ONIMPACT:Prioriize vulnerabiices that couldlead to unauthorized access,data breaches,orsystemcompromi exploitabilty
> AIE/LEAD JALITY:HYPEVS.REALITY THESTATEOF AI
> GoogleDeepMind PRESENTED BY ITAMARFRIEDMAN/Co-Founder&CEO opob

![[assets/slides/rgjF5o2Qjsc/slide-004.jpg]]

OCR text:

> - cd + e Ter Part 1 State of Al coding adoption
> oy bs 0 etn ge oe eee, Oe ee oe te ee ee ee
> : ° 1 Sources @Qcdo, GSorar, GFaros we trey ee te ney eee ee eae
> code qualty/reviesy related report
> ; a ee ee
> | Samp ¢ size thousands of developers, millions ee ee ee
> F of pul requests, and bilhons of lines of code De
> Pe
> a
> .
> e ay
> = mn ee . 7 a AR NGHiNG
> AIE/\.EAD ANTHROP\C aay RY aera teeta AS ne bacdes he we ot nak
> Google DeepMind B @JCURSOR $$ Cognition & FACTORY @Graphite ,neod] Ya

![[assets/slides/rgjF5o2Qjsc/slide-005.jpg]]

OCR text:

> tae feLelo)
> -”* < aay
> 
> , Learn sa System
> 
> , Focused on Guaity
> 2 Wath Aqentic Guaity
> : Agentc Code Gen
> Code Cer
> “i aa P| Investment
> a? Eat
> e ta
> Engineering the future of Al

![[assets/slides/rgjF5o2Qjsc/slide-006.jpg]]

OCR text:

> 5 The Quality Crisis ake hole
> ad
> vap it Pacyone
> . How it Beains
> ; ; 82-92% Developer Adoption
> ; 1 Al coae gen tools adoption 's grow ng EEE LONE IE Pa SS
> 3x Productivity Boost in writing code
> Al proauctarty dsesn’t guarantee Leb Mg pepe pe pepe POM pee etn ge
> : 2 ce ee ee
> Foner he
> 67% Quality Concerns
> ' 5 a striaa arn ek MnAes aa carer ase ac aT Cerin Of teams report increased difficu ty mamtaming
> “x Y assurance ete OP Ieee riety
> ; oJ fa
> Seed Engineering the future of Al

![[assets/slides/rgjF5o2Qjsc/slide-007.jpg]]

OCR text:

> AIE

![[assets/slides/rgjF5o2Qjsc/slide-008.jpg]]

OCR text:

> . ae . The Catch and Crisis in © qodo
> a D 2 ~ ist
> . Vibo Coding
> Al boosts output, but human review becomes the bottleneck
> f More code Velocity metres. 1% Change fram low to hugh Ad adopeion
> ; . rs More PRs ; 5 / : +91.1%
> 3 Not :¢ss bugs/issues per ine of code ' wes 7 a
> Mhatarelatanreriie) S
> i on
> ry lines of codes are written faster tagaa meee ee eee
> a developer car teow ; ; fants
> = mi ——
> - S
> toot
> ame STATE OF AI CODE QUALITY: HYPE VS. REA
> oe ee ITAMAR FRIEDMAN /co-founderaceo “AAqodo

![[assets/slides/rgjF5o2Qjsc/slide-009.jpg]]

OCR text:

> a Quality Issues That Modern Engineering Stee
> » Teams Face
> ; ; _ 3 Process-Level Challenges
> a ile
> mt ing P|
> STATE OF AI CODE QUALITY: HYPE VS. REA
> CT EEEAMTEE ITAMAR FRIEDMAN {co-founders ceo “BAqodo

![[assets/slides/rgjF5o2Qjsc/slide-010.jpg]]

OCR text:

> il
> 
> |
> 
> 3
> 
> |
> 
> ~~
> 
> fae,

![[assets/slides/rgjF5o2Qjsc/slide-011.jpg]]

OCR text:

> yy r cwme feXe[o)
> | Code review as a
> eR W A Me e1RoL ll elo1e
> to improve and govern
> code-level & process-level quality
> wa ay ¥
> Engineering the future of Al

![[assets/slides/rgjF5o2Qjsc/slide-012.jpg]]

OCR text:

> Why is Al Code Review Important?
> Moreproductive,higherquality
> 47%
> WhenusingAlcodereviewthere are double qualitygain More productive when using Al codereview
> Source:QodoState of Al qodo
> AlEngineer Engineering the future of Al

![[assets/slides/rgjF5o2Qjsc/slide-013.jpg]]

OCR 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
> Source: Qodo State of AI Code Quality Report & SonarSource State of Code
> AI Engineer
> Engineering the future of AI

![[assets/slides/rgjF5o2Qjsc/slide-014.jpg]]

OCR text:

> The Path Forweare:
> | 6 ~
> (OTE Wate.) Al is a Tool, Start Today,
> Competitive Advantage Not a Solution Iterate Tomorrow
> 
> atr RE ROOT Gare OAC + Mult-agent System « Your Context Engine
> 
> PU Crna a Reet aL aniy » Code & Tools Governance » Al Code Rovew
> 
> 2 Document & Freped Best Practices « Build Your Quality-specific MCPs. » Al Quality Workflows
> 
> « Monitor
> |
> Ke (ore lo)
> aS
> PN Tame STATE OF AI CODE QUALITY: HYPE VS. REAL
> Google DeepMind ITAMAR FRIEDMAN / Co-Founder & CEO “A qodo

![[assets/slides/rgjF5o2Qjsc/slide-015.jpg]]

OCR text:

> AIE

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.