Clean code in the age of coding agents

Clean code architecture is becoming increasingly critical in the era of AI-assisted development, as coding agents face similar productivity constraints as human developers when navigating poorly organized codebases. Poor code structure forces AI agents to consume excessive context tokens and incur higher costs, making investment in code quality a direct business efficiency measure rather than a purely technical concern. IT leaders must establish clear code organization standards and implement rigorous review processes for AI-generated code to maximize agent productivity and control operational expenses.