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

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The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo

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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

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Slide text:

The State of AI Code Quality

Hype vs. Reality

Itamar Friedman

Qodo CEO and Co-Founder

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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

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AIE/LEAD REALITY THE STATE OF AI CODE QUALITY: HY

Google DeepMind PRESENTED BY ITAMARFRIEDMAN/ Co-Founder&CEO opob

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ITY: HYPE VS. REALITY THE STATE OF AI

AMAR FRIEDMAN / Co-Founder & CEO opob

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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

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Engineering the future of AI

Productivity

Investment

Learning System Focused on Quality

With Agentic Quality

Agentic Code Gen

Code Gen

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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.

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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.

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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

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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

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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

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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

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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

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opob

ATE OF AI CODE QUALITY: HYPE VS. REALI

AMARFRIEDMAN/ Co-Founder&CEO opob

Hidden Non-Slide Evidence

Classification audit: raw/sources/slide-ai-classification/reconstructed/rgjF5o2Qjsc/audit.json