Why AI Agents Writing Code Demand Traditional Software Engineering Principles
As artificial intelligence systems begin generating code and operating autonomously, data scientists must adopt rigorous software engineering practices. This technical perspective explores how robust architectural scaffolds are essential for building AI applications that can safely evolve and maintain reliability as machine learning models grow increasingly complex and self-directed.
Source: Towards Data Science