A recent review paper presents a compelling argument that the primary limitation for autonomous AI agents lies not within the language model itself, but rather in the software infrastructure that supports it. This includes essential components such as tools, memory, testing protocols, and permission boundaries, which collectively transform a stateless model into a fully operational agent. The company Deepseek is proactively addressing this challenge by establishing a dedicated 'Harness' team in Beijing, reinforcing the thesis that the combination of a model and its harness is crucial for developing effective AI agents. This perspective invites a broader discussion on the implications of software architecture in AI development, emphasizing the need for a balanced evaluation of both opportunities and risks associated with this evolving technology.