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The article explains how to manage complex application state in growing reactive UIs by using building blocks like Datastar, glimmer, Domino, and Ebb to handle data flows, business logic, and external integrations.
A developer introduces a concept called a 'reactor' — an agent session DAG that maintains a memoized world-model using OpenProse markdown files and the openai-agents-sdk, drawing parallels to React and dataflow.
DataFlow is an open-source tool with visual, low-code pipelines to generate, clean, and prepare high-quality LLM training datasets from raw data. It includes a technical report on arXiv.
AstraFlow is a dataflow-oriented RL system that enables efficient multi-policy collaborative training and elastic scaling for agentic LLMs, achieving a 2.7x training speedup over existing systems.