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World Congress 2026 Europe - Virtual Stage • Jul 1, 2026 • Session details

Technical Debt when Vibe coding

Dishu Bagga

Vibe coding delivers instant deployments, but who fixes the AI-generated bugs? Stop accumulating massive epistemic debt. Transition to intentional vibe engineering to build maintainable architectures.

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#1 about 2 min

Introduction to vibe coding and AI system generation

Generating complete software systems instantly from prompts creates a collision between speed and engineering responsibility.

#2 about 1 min

Rapid prototyping and validation benefits of AI generation

Massive speed boosts enable startups to iterate on ideas and validate assumptions quickly at scale.

#3 about 1 min

Accumulating technical debt through unmanaged AI hallucination

Blindly adding complex modules month after month causes the underlying AI-generated code to hallucinate and break down.

#4 about 2 min

Common architectural and security flaws in vibe coding

Relying on raw generation introduces duplicate logic, inconsistent architectures, weak validation, and severe threat vulnerabilities.

#5 about 2 min

Understanding hidden coupling and the cost of epistemic debt

Blind reliance on AI removes the developer's mental model and creates fragile developers who own a codebase they cannot fix.

#6 about 2 min

Why token prediction fails to replace intentional system architecture

System design requires business context and coherent session planning rather than emergent patterns matching just the next immediate token.

#7 about 2 min

Transitioning to agentic engineering with comprehensive repository context

Supplying extensive intent and structural awareness to tools like Claude Code transforms prompt writing into structured orchestration.

#8 about 2 min

Creating specialized AI agents and standardized continuous workflows

Configuring distinct architectural, backend, and DevOps agents with specific skills enables sequential and controlled software planning.

#9 about 2 min

Implementing automatic guardrails and human-AI review loops

Restricting AI access to confidential files and maintaining simultaneous code verification secures the repository during rapid generation.

#10 about 1 min

Decomposing features to reduce epistemic and technical debt

Breaking intent into precise micro-tasks ensures developers maintain strict comprehension of generated elements while stripping out unnecessary code.

#11 about 2 min

The future role of developers orchestrating artificial intelligence

Engineering evolution focuses on refining developer skills from writing syntax to designing systems and carefully validating machine intelligence.

Matching moments

2:42 min

The rise and risks of agentic software development

Neena Thomas Neena Thomas · WWC Europe 2026

2:53 min

The limitations of vibe coding for production software

Julian Wood Julian Wood · WWC Europe 2026

2:02 min

The limits of vibe coding and zero-to-one prototyping

Gunnar Grosch · Coffee With Developers

8:24 min

Cleaning up AI generated code and vibe coding challenges

Chris Heilmann +2 · LIVE

49 sec

Navigating technical debt generation in the era of AI

Adam Tornhill · Coffee With Developers

13:07 min

Analyzing the practical limits of AI vibe coding

Chris Heilmann +2 · LIVE

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