The use of AI-based coding tools has gained immense popularity, promising to streamline developers' work. However, this shift has led to a significant increase in lines of code, which in turn heightens the risk of bugs causing system crashes or other unforeseen problems. As a result, startups like Lightrun are developing innovative solutions to address these concerns. Their AI-powered tools aim to simplify coding processes while ensuring quality and reliability. Nevertheless, it is crucial to acknowledge the potential pitfalls associated with relying on automated coding solutions. Moving Forward: Instead of solely relying on AI-based coding tools, developers should explore alternative approaches that balance automation with human oversight. This might involve implementing robust testing frameworks, code reviews, and security audits to mitigate the risks associated with increased code complexity. By adopting a more nuanced approach, we can harness the benefits of AI while minimizing its drawbacks.