Fresh off the press
AI codes with outdated libraries. Why is this unsolved?
I let an agent sign itself up to a cloud data warehouse, then replayed every step
Doing analytics on your laptop is easy. An AI agent can grab a parquet file, spin up compute, write the SQL and hand you a chart in under a minute. What got harder is knowing what actually happened. Codex, Claude Code, the web chats, they all stream a WALL of tool calls at you. Somewhere in there a database got created, a pipeline ran, a query scanned 40GB. Good luck reading that back an hour later. So I built a demo using MotherDuck to visualize and replay what's happening when building pipelines and data viz with AI Try it yourself : https://motherduck.com/try Blog : https://motherduck.com/blog/agent-signup-cloud-data-warehouse/
@thegeeknarrator I would say postgres because of the existing user base and extension ecosystem. Most people will start with postgres then graduate to another specific DB depending on their use case