Скачать или смотреть The Dark Side of "Vibe Coding": Why AI Code is Failing Security Tests

AI is helping developers write code faster than ever, but new reports suggest it is also degrading code quality and introducing critical security threats. In this video, we break down the rise of "Vibe Coding" among senior developers and analyze the alarming data showing why 45% of AI-generated code fails security tests.

We discuss the hidden costs of AI speed, including bloated pull requests, redundant logic, and the dangerous trend of developers shipping code they don't fully understand. We also explore practical solutions to mitigate these risks, including setting tighter guardrails, the importance of maintaining "human in the loop" oversight, and how to use AI code review tools like Code Rabbit to catch errors before they reach production.

In this video:
The AI Shift: Why senior developers are moving from skepticism to embracing AI tools.
The Data: BREAKING down reports from Veracode and Code Rabbit regarding security vulnerabilities (OWASP top 10) and increased issue rates in AI PRs.
Common Pitfalls: How AI struggles with domain knowledge, dry principles, and creates technical debt through redundant code.
The "Trust" Issue: Why reviewing your own AI-generated code is essential for team accountability.

#ai #SoftwareEngineering #VibeCoding #CyberSecurity #CodeQuality #CodeRabbit #DevOps #Programming #TechDebt #WebDevelopment