Story

The article explores the lack of 'shovelware' or low-quality AI-generated code in the software industry, despite the rapid advancements in language models and code generation. It discusses the challenges and limitations of current AI coding tools and the importance of human oversight and curation in ensuring the quality and reliability of AI-produced code.