This article discusses the importance of intentional logging in software development. It emphasizes logging only what’s necessary for debugging and understanding system behavior while avoiding excessive, meaningless entries that can complicate root cause analysis. The piece also highlights structured logging and the use of modern tools to improve logging practices.

This article explores how Databricks developed an AI-powered platform that significantly reduces database debugging time. It details the evolution of the debugging process from manual tool switching to an interactive chat assistant that provides real-time insights and guidance. The piece also discusses the architectural foundations that support this AI integration.