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The author discusses challenges with large code diffs caused by AI use in code reviews and seeks advice on strategies to handle this while maintaining human comprehension.
The article argues that software engineering is primarily about managing complexity through architectural decisions and tradeoffs, with AI being effective at code generation but not at handling these higher-level aspects. It highlights how building software involves critical choices about constraints, costs, and evolution beyond mere syntax.