The article explores three distinct notions of software complexity from Rich Hickey, John Ousterhout, and Zach Tellman, highlighting their definitions and implications. Hickey emphasizes simplicity through focus, Ousterhout relates complexity to dependencies and obscurity, while Tellman frames it as the sum of explanations tailored to audience expectations. The discussion reveals the interconnections and nuances in understanding software complexity.

The article discusses the need for a new approach to observability in the context of artificial intelligence (AI) systems. It emphasizes that traditional methods of monitoring and managing software are inadequate for the complexities introduced by AI, calling for innovative strategies to effectively track and understand AI behaviors and performance.