
The meteoric rise of generative AI coding assistants promises a new era of unprecedented software development velocity, yet this acceleration comes with an often unseen cost in the form of security vulnerabilities silently embedded in project dependencies. The adoption of these powerful tools represents a significant advancement in software development, but it also introduces complex challenges. This review explores the










