4 Blind Spots of General Coding Agents in Data Engineering
Three different experiments running Claude Code revealing four common blind spots every data engineer should be looking out for.

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Articles tagged with #ai
Three different experiments running Claude Code revealing four common blind spots every data engineer should be looking out for.

A deterministic harness for reproducible, cacheable results — sitting between a probabilistic agent on top and a deterministic core underneath.

You stopped writing code this year. Now you approve it, faster than you can possibly check. Here is what that costs.

If you're running an AI agent on data (pipeline diagnostics, schema exploration, ad-hoc SQL, lineage queries), you've looked at the model bill and asked the same question we did: "The cheaper model o

How we achieved 19% improvement on real-world data tasks — and what it taught us about AI-assisted data development.

Introduction We’re excited to announce a major new capability in the dbt Power User VSCode extension: an embedded Model Context Protocol (MCP) server. This MCP server is now built directly into the extension, acting as a bridge between AI-powered dev...
