False parallelism is an anti-pattern in agentic architecture where tasks that have a hidden dependency on each other are treated as independent and run in parallel.
Why it matters: This can lead to data hazards, race conditions, and incorrect results, as the execution order is not guaranteed and one task may proceed with stale or incomplete data from another.
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