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AI engineering teams are facing significant slowdowns in their agent development pipelines, primarily due to repetitive and time-consuming workflow tasks, according to a recent Reddit discussion. These bottlenecks often stem from areas outside the core AI model development, such as data ingestion, data chunking, metadata alignment, JSON validation, evaluation setup, tool contract management, Directed Acyclic Graph (DAG) wiring, and robust logging implementation. While these tasks might not demand specialized AI knowledge, their execution is critical for maintaining system stability and ensuring efficient AI agent performance. The original Reddit post highlights the widespread nature of these challenges, prompting other AI engineers to share their experiences with particularly time-consuming repetitive tasks within their own workflows. The conversation can be found on Reddit: https://old.reddit.com/r/artificial/comments/1pbx92g/what_slows_you_down_on_your_rag_or_other_agent/