Solid walkthrough — the supervisor pattern is where most teams land after their first "let's just have agents call each other directly" architecture falls apart at scale.
One thing I'd add: state schema design is the decision that ages worst in LangGraph projects. It's tempting to throw everything into a flat dict early on and fix it later, but once you have 10+ nodes reading and writing to the same state, refactoring becomes painful because LangGraph's type checking is strict about schema changes between runs with persisted checkpoints.
I've found it worth the upfront investment to model state as nested TypedDicts with clear ownership per agent — something like state.research, state.draft, state.review — rather than a single flat namespace. Makes the graph much easier to reason about when you add new agents and eliminates a whole class of "why did this field get clobbered" bugs.
The human-in-the-loop interrupts section is underrated — in production, that's often what actually makes stakeholders trust the system enough to let it run. The ability to inspect and redirect mid-graph is a feature, not just a safety net.
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Solid walkthrough — the supervisor pattern is where most teams land after their first "let's just have agents call each other directly" architecture falls apart at scale.
One thing I'd add: state schema design is the decision that ages worst in LangGraph projects. It's tempting to throw everything into a flat dict early on and fix it later, but once you have 10+ nodes reading and writing to the same state, refactoring becomes painful because LangGraph's type checking is strict about schema changes between runs with persisted checkpoints.
I've found it worth the upfront investment to model state as nested TypedDicts with clear ownership per agent — something like state.research, state.draft, state.review — rather than a single flat namespace. Makes the graph much easier to reason about when you add new agents and eliminates a whole class of "why did this field get clobbered" bugs.
The human-in-the-loop interrupts section is underrated — in production, that's often what actually makes stakeholders trust the system enough to let it run. The ability to inspect and redirect mid-graph is a feature, not just a safety net.