Be intentional about how AI changes your codebase
Summary
The article argues for disciplined, self-documenting AI-generated code by organizing logic into semantic and pragmatic functions, with careful data modeling. It highlights patterns to keep codebases scalable and maintainable as AI coding agents contribute more code, while warning about common pitfalls when semantic and pragmatic layers blur.