Data engineer overcomes AI skepticism after hands-on trial—signals shift in how practical teams adopt AI tools

A data engineer at Bruin (a data workflow platform) documented their journey from dismissing AI assistance to regularly using it for coding tasks, publishing the account on Hacker News where it gained traction among technical professionals.

The shift happened through real use, not marketing: the engineer found AI tools cut time on repetitive tasks like writing SQL queries and documentation, while discovering where AI still fails (complex logic, unfamiliar systems)—a practical map of when AI actually saves work versus when it wastes time.

This matters to your team because it challenges the all-or-nothing framing: data engineers, developers, and analysts don't need to choose between "trust AI completely" or "ignore it entirely." Instead, they can pick specific workflows (data cleaning, boilerplate code, query writing) where AI measurably cuts hours per week, while staying hands-on for work requiring judgment.