The entire pipeline executes in a single call stack. No promises are created, no microtask queue scheduling occurs, and no GC pressure from short-lived async machinery. For CPU-bound workloads like parsing, compression, or transformation of in-memory data, this can be significantly faster than the equivalent Web streams code – which would force async boundaries even when every component is synchronous.
Option 1: The system can update the cost of that specific shortcut in the base graph and quickly re-run the Dijkstra search (Step 2) on the abstract graph to find an alternative high-level path.
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