Long-Context Parallel Agents Push Toward Systems That Handle Workflows, Not Prompts
Builders are converging on a vision where agents run parallel, long-context workflows end to end rather than answering one question at a time.
The center of gravity in agent development is shifting from answering prompts to executing workflows, and the vocabulary is starting to reflect it. "We're getting closer to AI that can actually handle workflows instead of just answering prompts," wrote @skibidialerts, pointing to "long context parallel agents" as the enabling capability. The phrase captures a real architectural change: instead of a single agent working through a task step by step, systems increasingly spin up multiple agents operating in parallel over large shared context windows.
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