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AI agents may make writing code much cheaper, but Allen Hutchison argues that the scarce resource then becomes the people supervising them. His proposed answer is to build small teams around bounded repositories, clear interfaces and supervision pipelines, rather than simply adding more engineers.
Why it mattersIt’s a useful shift in focus: agent adoption is not just about how much code a tool can produce, but whether a team can review and direct it without drowning in output. Hutchison makes the case in “Tokens Over Hires”.
Discuss: If AI agents make code cheap, should software teams invest first in better supervision systems or in more people to review the work?
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