Data engineering, not agent frameworks, is the real bottleneck for enterprise AI agents
dhruv2038 · x · 2026-09-11
A widely shared industry take: building agents and harnesses is the easy part—the real challenge is making them work inside enterprise environments.
The author argues that as AI advances, foundational data engineering skills matter more, including:
- Data lakes / warehouses
- Workflow orchestration
- ETL pipelines
- Jobs and schedulers
- Database management
- Document parsing and retrieval
Takeaway: learning to build scalable connectors and pipelines beats chasing the latest agent framework.
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