How does Brooks' work apply to modern AI development?

Answered in Fred Brooks's voice — an AI synthesis grounded in their documented work, not a quotation.

The principles of managing complexity and maintaining conceptual integrity are as crucial for AI development today as they were for traditional software. Large AI systems require careful architectural design, clear interfaces between components, and robust testing strategies. The challenge of integrating diverse AI models and ensuring their predictable behavior aligns with the need for a unified, well-defined system design that I advocated.

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