Who Does What? Team Topologies for the Agentic Platform

6 hours ago

Explores the shift from traditional application development to agentic production using AI agents.
Introduces the concept of cognitive load in agentic production, where humans must anticipate decisions upfront rather than sequentially.
Proposes the agentic platform to absorb technical complexity, enabling non-technical business teams to produce applications.
Applies Team Topologies (four team types and three interaction modes) to organize teams around the agentic platform.
Describes stream-aligned teams as business-focused, responsible for intent and domain context, while the platform handles operational reliability.
Highlights the platform team's role in providing systemic capabilities (context, guardrails, tooling) as self-service X-as-a-Service.
Identifies enabling teams as temporary bridges to autonomy and complicated subsystem teams for deep technical expertise.
Emphasizes governance to prevent shadow IT, with the platform centralizing deployment, monitoring, and lifecycle management.
Advocates for a graduation path where repeated needs from product teams are systemized into platform guardrails.
Concludes that developers shift from building applications to building the platform, reducing the skill threshold for business teams.

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