I'm an Amazon tech lead who uses AI to write code daily. There's one situation I hesitate to use it in. (www.businessinsider.com)

Anni Chen, a tech lead at Amazon, shared her experience with "vibe coding"—an approach where code is generated collaboratively with AI tools like large language models (LLMs). Chen emphasizes that while vibe coding significantly boosts productivity, especially for tasks like debugging and brainstorming, it should be approached with caution in production environments. She notes that her technical knowledge is crucial in this iterative process, allowing her to identify and rectify assumptions made by the AI, which might overlook complexities such as multi-threading constraints. Chen's insights shed light on the broader implications of AI in software development, particularly the necessity for technical expertise when scaling solutions. Despite its usefulness, she warns that relying on AI without a solid understanding of coding fundamentals can lead to failures, especially in large-scale applications. As vibe coding gains traction within teams, the combination of AI efficiency and human oversight becomes essential to harness its full potential while preventing potential pitfalls in production code.