Explore the architectural tensions that emerge when scaling Cloudflare Durable Objects beyond sequential workflows. This episode examines how ScriptDO and AudioGenDO function as state machines rather than true coordination layers, and why migrating to cloud MCP agents exposes fundamental limitations in the current design. Hosts discuss the critical insight that moving analyzers to the cloud without first redesigning the orchestration layer creates bottlenecks and breaks progress tracking. Learn why the real migration challenge isn't moving individual components, but transforming Durable Objects to handle concurrent agent lifecycles, fan-out/fan-in patterns, and partial failure scenarios. Discover how this architectural shift unlocks proper WebSocket integration and why rethinking the coordination layer is the foundational move that enables everything else in the system.

In this episode:
00:00 - Why Durable Objects become a bottleneck with parallel cloud agents
00:25 - The coordination problem: State machines vs. workflow engines
01:01 - Redesigning the orchestration layer before migrating analyzers
01:21 - Why WebSocket progress streaming needs concurrent agent awareness
01:32 - The real first move: Rearchitecting ScriptDO for agent coordination

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Copy this prompt into Cursor to start implementing:

Based on my podcast episode "Durable Objects as State Machines: Rethinking Orchestration for Concurrent Agents", help me:
- Understanding software architecture principles
- Best practices in code organization

Analyze my codebase, identify the relevant files, create a plan, then implement the changes.