Tag - Agents

Articles on AI agents in data engineering: where they belong in pipelines, how they write SQL and dashboards, and how to verify what they produce.

16 articles in this topic

2026

As Humans Write Less Code: Workloads Shift from Human to Agent Verification with Iterative Test Suites 11-03

Data Engineering Is the Cache Invalidation Problem Ft. Josh Wills 10-15

Why We Need Yet Another (OSS) Semantic Layer 10-13

Obsidian Vault to Enterprise Company Brain: Where Agents Write, Branch and Merge 09-15

Context, Semantics, and Ontology: A Primer for the Agentic Era 09-12

Figma for Agents: How Airflow's Creator Coordinates AI ft. Maxime Beauchemin 08-06

Where AI Agents Belong in Data Engineering: The Correctness Layer 07-07

Vibe Coding Is Dangerous, Agentic Engineering Isn't—Wes McKinney 06-11

Beyond the Semantic Layer: Building a Context Layer for the Agentic Era 06-11

Plan Mode All the Time, Substrait over SQL, and the End of the DE Role ft. Chris Riccomini 05-26

AI Reveals Why BI Still Matters 04-21

Specs Over Vibes: Consistent AI Results ft. Mark Freeman 04-08

Building an Agent-Friendly, Local-First Analytics Stack with MotherDuck and Rill 04-07

Building an Obsidian RAG with DuckDB and MotherDuck 02-13

2025

Data Modeling for the Agentic Era: Semantics, Speed, and Stewardship 10-17

Has Self-Serve BI Finally Arrived Thanks to AI? 07-09