
The initial rush to integrate generative artificial intelligence into the software development lifecycle has left many enterprises grappling with a chaotic sprawl of undocumented and fragile codebases. This phenomenon, often termed the “AI hangover,” describes the state of enterprise environments where the rapid adoption of large language models has led to a degradation of code quality and structural integrity. Code










