World Congress 2026 Europe - Virtual Stage Jul 3, 2026 Session details

Beyond UML: Making Sense of AI-Generated Code through Visual Architecture

Sven Reinck

Stop reviewing AI-generated code with linear diffs. Discover how a visual architecture plugin instantly exposes lazy AI shortcuts and validates system-wide structural integrity before you merge.

Pause
Mute Enter Fullscreen
#1 about 2 min

Challenges of reviewing AI-generated code changes

Navigating multiple files modified by AI prompts creates a significant manual review burden.

#2 about 2 min

Proposing visual solutions for navigating code changes

Visualizing file interactions creates a faster overview for prioritizing manual code evaluation.

#3 about 2 min

Drawing parallels between early compilers and AI tools

Reconstructing code structure builds trust in AI generation similarly to how disassemblers validated early compilers.

#4 about 5 min

Visualizing AI refactoring impact with architecture graphs

Comparing program states through a graph view isolates boilerplate patterns from actual logic changes.

#5 about 7 min

Untangling logical coupling in legacy codebases

Graph-based visualization guides the gradual decoupling of cyclical dependencies and misguided package structures.

#6 about 4 min

Resolving structural domain leaks in utility packages

Removing incoming domain object dependencies from exception classes via automated factory methods restores pure utility status.

#7 about 7 min

Spotting incomplete structural migrations during AI refactoring

Visualizing architecture exposes lazy AI implementations that wrap legacy methods instead of fully restructuring object references.

Matching moments

4:24 min

Navigating accountability and architecture in AI generated code

Lilia Gargouri Lilia Gargouri · Coffee With Developers

6:27 min

Using AI copilots to explain and debug legacy codebases

Chris Heilmann +2 · LIVE

7:59 min

Navigating the necessity of learning code in AI environments

Chris Heilmann +1 · LIVE

4:11 min

Filtering AI code generations and automating pull request reviews

Kevin Lewis Kevin Lewis · WWC 2025

49 sec

Navigating technical debt generation in the era of AI

Adam Tornhill · Coffee With Developers

1:31 min

Replacing traditional code reviews with interactive agents

Victor Savkin Victor Savkin · WWC Europe 2026

Upcoming sessions on this topic

Open session

World Congress 2026 North America

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

When Humans Stop Writing Code: Rethinking Languages, Compilers, and Responsibility

Simon Auer

Organizer of flutter vienna meetup and CEO of marqably

Simon Auer
Open session

World Congress 2026 North America

Beyond Vibe Coding: Using CLI Tools as Your AI Counterpart in Pair Programming

Ron Veen

Java enthusiast and Special agent for Team Rockstars IT

Ron Veen
Open session

World Congress 2026 North America

Vibe Coding Accessibility

Karl Groves

Focused on actively fixing accessibility

Karl Groves
Open session

World Congress 2026 North America

AI That Argues With Itself: Building Self-Debating Systems That Catch Their Own Bugs

Shreya Singhal

AI Applied Scientist at Claritev

Shreya Singhal
Open session

World Congress 2026 North America

The spectrum of agentic coding: From vibe coding to high-quality software engineering

YK Sugi

Developer Experience Manager at Eventual

YK Sugi