Explore a critical architectural pitfall when building distributed systems with Cloudflare Durable Objects: the hidden complexity of split orchestration logic. This episode dissects how coordination logic distributed across both Workers and Durable Objects creates subtle race conditions that remain invisible until you add real-time features like WebSocket progress tracking or MCP integrations. Learn why having two layers making flow decisions is a recipe for cascading failures, and discover the single principle that resolves it: establishing a clear boundary between what decides (orchestration) and what executes (execution). Perfect for engineers building async workflows, state machines, and complex multi-step processes on edge computing platforms. The hosts break down concrete patterns for consolidating orchestration logic into Durable Objects as the single source of truth, transforming Workers into pure execution layers, and why this cleanup is essential before scaling to real-time coordination surfaces.

In this episode:
00:11 - The hidden orchestration problem in your state machines
00:37 - Two layers claiming to be the orchestrator—why it breaks
01:11 - How WebSocket progress tracking exposes coordination race conditions
01:36 - The fix: pick one brain, not two

---
Copy this prompt into Cursor to start implementing:

Based on my podcast episode "Orchestration vs. Coordination: Fixing the Dual-Brain Problem in Durable Objects", 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.