n the age of AI-assisted development, tools like GitHub Copilot and ChatGPT promise unprecedented speed. We can generate code in moments, prototype faster, and ship features at a breakneck pace. But this rapid-fire approach often leads to vibe coding, writing code without a foundational understanding of the underlying language, framework, or browser.

This talk explores how this over-reliance on AI is creating a new class of problems. When developers don’t truly grasp how their code works, they can’t anticipate edge cases, performance issues, or security vulnerabilities. This often leads to vibe testing, a reactive and superficial form of testing where the goal is simply to "make it work" rather than to ensure robustness.

I will discuss real-world examples where AI-generated code has created unintended consequences, showing how these shortcuts can lead to hard-to-diagnose bugs and technical debt. I'll also offer practical strategies for both developers and testers to strike a balance: using AI as a powerful learning and productivity tool, while still prioritizing the fundamental skills that are essential for building high-quality, maintainable software. This session is for anyone who wants to move beyond the AI hype and build a sustainable, quality-focused development practice.