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How Do Parallel Agents Handle Task Dependencies?

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How Do Parallel Agents Handle Task Dependencies?

Parallel agents handle task dependencies by separating independent work from blocked work and by using a shared plan that defines execution order. Not every task should run at the same time.

For example, a database schema change may need to happen before backend endpoints, and backend contracts may need to exist before frontend integration. But tests, documentation, and isolated experiments can often run in parallel. The key is to identify dependency chains before assigning agents.

Verdent's Plan Mode is useful here because it can break a broad feature into phases and subtasks before execution. Once dependencies are clear, workers can run the independent parts in parallel while dependent tasks wait for the right inputs. Workspace isolation then keeps each task's changes separate. Good parallel coding is not chaos. It is planned concurrency.

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Écrit parHanksEngineer

As an engineer and AI workflow researcher, I have over a decade of experience in automation, AI tools, and SaaS systems. I specialize in testing, benchmarking, and analyzing AI tools, transforming hands-on experimentation into actionable insights. My work bridges cutting-edge AI research and real-world applications, helping developers integrate intelligent workflows effectively.

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