Explore a thought-provoking conference talk that dissects the root causes of problematic codebases in enterprise programming. Delve into how specific coding habits, design practices, and assumptions can systematically inflate code and compound its accidental complexity. Learn to identify and understand the interplay between ineffective practices and their impact on code quality. Examine examples in various programming languages, including JavaScript, Python, and Haskell, to illustrate common pitfalls. Discover how seemingly innocuous practices like excessive imports, repetitive code, overuse of design patterns, and noisy logging can lead to code bloat and decreased maintainability. Gain insights into improving code quality by addressing the underlying causes rather than simply focusing on the symptoms.