xstate-states-and-context

To manage context in XState v5, use the assign() action to immutably update the machine context. This ensures predictable stateful applications by cleanly applying new values to the existing context during state transitions.

Atomic, compound, and parallel states are finite state machine hierarchy types in XState v5. Atomic states are leaf nodes, compound states contain nested child states, and parallel states allow simultaneous active nested regions.

To initialize context with input parameters in XState v5, pass the input data into the machine creation function. This sets up the initial context values before the state machine begins processing events and transitions.

Use final states in XState to signal machine completion and trigger parent onDone events. Use history states to remember and resume the previous nested child state configuration after transitioning away from a compound state.

Understanding the actor model principles is beneficial for XState v5 state management. While basic state and context management works without it, the actor model is essential for designing predictable stateful applications with interconnected machines.

Common XState anti-patterns include mutating context directly instead of using assign(), creating overly deep state hierarchies, and mismanaging parent and child state transitions. Avoid these to maintain predictable stateful applications.