Helping data teams preview, validate, and ship data changes with confidence.
| Website | https://datarecce.io |
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"Pandas in 2011 was essentially book-driven development, quite literally." Wes wrote features because he needed them for the book chapter.
"If I had taken three years longer to do things the right way, it would have been too late." -- Wes McKinney on why pandas shipped imperfect and won.
"This is bad. Why haven't you fixed this yet? I would have already fixed this today with Claude code." -- Wes McKinney on radical accountability for software vendors.
"I would just wake up and write Python code." Wes McKinney on the founder hours that created pandas.
Scott Breitenother jumped into every Slack thread at Brooklyn Data. It made the company fast and him the bottleneck. His fix: subscribe to replies, don't comment, check back in 3 hours.
"If you have a successful career built on glazing people, I kind of hate you."
Bryan Bischof on why truth-seeking is non-negotiable for data teams.
The most predictive feature in the world's first coffee recommender? Favorite salad dressing. The baristas knew.
Bryan Bischof on Data Renegades
"When an escalator breaks, it just becomes stairs. When your data workload fails, it's often just stale data."
Scott Breitenother on why most data failures aren't as bad as they feel.
CL Kao takes the stage at the DataTune Conf tomorrow: "A Practical Playbook for Building Data Agents (That Don't Break Your Pipeline)" at 10:30 AM.
288 benchmark trials. Three context problems every data agent hits. Practical fixes that work.
CL and Dori will be at the Recce booth all day. Come say hey.
The agent also produced wrong lineage graphs. Switched from dbt's parent_map format to explicit edge lists matching Mermaid's native format. Accurate ever since.
Our own Kent Chen wrote up the architecture decisions and fixes the team landed on.
Read the full blog here: https://blog.reccehq.com/designing-reliable-ai-agents-for-dbt-data-reviews
