AI doesn't write bad code. It writes plausible code — so I tried to break my own AI-built app

The author dives into the nuances of AI-generated code, highlighting how it often produces code that seems reasonable but might not fully solve the problem. Despite compiling and merging without obvious errors, the subtle issues can lead to unexpected bugs or performance issues down the line. This experiment underscores the importance of thorough code review and testing, even when using AI tools, to ensure the remaining complexities are properly addressed. It serves as a cautionary tale for developers relying heavily on automated code generation.