The article discusses the evolution of generative AI tools in software development, aiming to automate the process of automation. It highlights the "Doctor-Patient" strategy, where AI tools are separate from the codebase and modify it without fully understanding its architecture. This strategy has led to "bot rot," where generated code is of poor quality, leading to increased cognitive load and the need for human intervention. The article suggests a new strategy, "Generative Driven Development," which involves writing code that is highly "GenAI-able," making codebase automation an integral part of the software itself, and prioritizing refactoring and codebase architecture. This approach could revolutionize the way we use AI in software development, focusing on creating code that is not only efficient but also easy to work with for both humans and AI tools.
towardsdatascience.com
towardsdatascience.com
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