Zendesk Says AI Makes Code Abundant, Shifting the Bottleneck to "Absorption Capacity"

"Zendesk argues that generative AI has shifted the limiting factor in software delivery from writing code to what it calls 'absorption capacity', which is the organizational ability to define problems clearly and integrate changes effectively."

"Tóth's term 'absorption capacity' encompasses the work needed to convert generated code into reliable outcomes, including problem definition, alignment with architecture, and verification of improvements in customer outcomes."

"The article proposes that problem framing should be a shared responsibility between product and engineering teams to avoid ambiguous requirements that lead to misaligned implementations at scale."

"To enhance confidence in software delivery, teams should strengthen verification loops through methods like CI signals, static analysis, security checks, and rapid product feedback."

Generative AI has transformed software delivery by changing the limiting factor from code writing to absorption capacity, which is the ability to define problems, integrate changes, and verify outcomes. As code production becomes abundant, the challenge lies in maintaining architectural coherence and effective delivery. Bence A. Tóth emphasizes that improving one aspect of a system does not enhance overall throughput if other constraints persist. The article suggests that problem framing should be a collaborative effort and that verification processes must be strengthened to ensure reliable outcomes.

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