Why Separation of Concerns Matters More with AI-Generated Code

Working with AI coding tools has changed how I think about architecture, but not in some huge “future of software” kind of way. It’s been of a practical thing I started noticing while generating and modifying real code day to day. One pattern keeps showing up over and over again: When a system mixes too many responsibilities together, AI-generated code becomes harder to guide and less consistent. But when responsibilities are separated clearly, the output suddenly becomes much stable and predictable.