Ai

207 posts filed under Ai.

Senior data engineers quit stacks that page them at 3am, and the exit interview says "growth".

A backend deploy broke the data pipeline for the third time this quarter. Both teams had done their jobs correctly.

A client built the same data inventory twice in 18 months. The first one was for the auditor.

Postgres handled it fine. Until the agent started issuing thousands of embedding lookups a second.

We changed the questions in the postmortem, and the recurring outage stopped recurring.

Data platform changes have a good window and a bad one. Funding milestones tell you which is which.

We scored a client's pipelines on cost against consumption. About 1 in 5 had a monthly bill and zero consumers.

Duplicate invoices came from the recovery, not the outage. The retry replayed 40 minutes into a double-counting sink.

A company at 40 people needs senior data judgment about 2 days a week. Full-time is the wrong container.

Nobody owned the orders table. Everyone had opinions about it in the incident channel.

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