Takeaways from Altimate AI's Pradnesh Patil's appearance on The New Data Engineering Team
Pradnesh Patil joins Data Science with Sam to discuss why AI agents get SQL queries wrong, and the five-part harness that fixes it.
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
