Understanding the Seven Causes of Code Complexity

Artie Shevchenko, author of Code Health Guardian, speaks with host Jeff Doolittle about the crucial role of human programmers in the AI era, emphasizing that humans must excel at managing code complexity. Shevchenko discusses these concepts and key takeaways from his book, including the three problems caused by complexity: change amplification, cognitive load, and the most severe, unknown unknowns. He suggests that maintaining code health should be viewed pragmatically as a productivity question, requiring an ownership mentality and product focus to balance short-term delivery with long-term maintainability. The episode also covers vital processes such as using design documents for upfront analysis and code reviews, highlighting four goals: high code quality, knowledge sharing, delivery speed, and -- most important for team productivity -- psychological safety.

This episode is sponsored by Monday Dev