I wrote more at www.ssp.sh/blog/vector-....
Who's Who of AI
ssp.sh
Dad. Technical Author, Data Engineer.
Data practitioner (20y) • Writing at ssp.sh since 2015.
Focused on the craft of data engineering & storytelling.
📚 vault.ssp.sh • 📖 @dedp.online
❯ #dataengineering, #opensource, #writing, #obsidian, #neovim
What they're sharing
Vector Technologies for AI: Extending Your Existing Data Stack ssp.sh
AI Orchestrators ssp.sh
Articles & links
But the moment you go from one agent to five, the orchestration problem shows up exactly like it did with data pipelines a decade ago. The history of DE is becoming the playbook for agent engineering. Worth paying attention to which patterns transfer and which do not. www.ssp.…
Their own posts
Recent commentary
Data engineering spent fifteen years building orchestrators — Airflow, Dagster, Prefect, Kestra. We are now doing the same thing for AI agents. Agor from Max the original creator of Airflow. Agent Teams from Anthropic, native to Claude Code. Omnigent from Databricks. Superset-sh, herdr, Gastown.
In 2025, AI in data engineering was mostly slop on top of slop. The agents themselves are great. Almost every wrapper above them was not. For 2026, my prediction and hope is the same thing: less hype, more value. Stop putting AI in the name. Treat it as a tool, not the product.
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