Carla Rover, a web developer with 15 years in the industry, shares her experience with vibe coding while launching a startup creating custom machine learning models. She highlights the pitfalls of relying too heavily on AI for coding, describing it as “worse than babysitting.” Despite AI’s promise for faster development, Rover and her colleagues often find themselves spending extensive time correcting AI-generated code due to unpredictable errors and security risks.
These challenges have led to the emergence of roles like “vibe code cleanup specialist.” For many seasoned developers, while vibe coding accelerates certain tasks, it also introduces complexities that can confuse both users and systems. Although AI can enhance productivity—especially in prototyping—human oversight remains critical. As the software landscape evolves, developers are adapting to guide AI systems effectively, ensuring quality while leveraging technology for innovation. Ultimately, the balance between AI assistance and human review is vital for successful coding outcomes.
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