Steal from data engineering: DAGs, lineage and incremental processing for AI agent systems
LangChain · x · 2026-10-07
JoshARosen argues AI systems should borrow decades of data engineering wisdom: DAGs instead of one giant agent loop, lineage tracking of sources/prompts/model versions, change detection for stale artifacts, incremental processing, and ETL-style context management. casparbr shows the LangChain stack implements this: LangGraph for control, traces for run lineage, context hub for versioning skills, and deepagents for durable execution and context window management.
Related event: Spark Co-creator: AI Systems Should Borrow from Data Engineering(2 posts)→
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