Ai

243 posts filed under Ai.

A CTO wanted a full platform rewrite before the next raise. 8 weeks of tickets pointed at two components.

AI writes a working pipeline in 10 minutes. Nobody has asked it to be on call for one.

Companies are writing one job ad for three different jobs and calling it an AI data engineer.

A broken pipeline costs you an hour. A wrong number nobody catches costs you a quarter.

NIS2 turned one client's logging gap into a board-level problem inside a week.

A dataset with no owner and no cost ceiling will always be somebody else's problem.

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.

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