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Don't put an LLM in charge of your production database Database

Don't put an LLM in charge of your production database

Last June, a junior analyst pushed a "helpful" GenAI assistant to our internal Tableau-connected lakehouse. Within forty minutes, the agent generated a SELECT * across a 40-terabyte partitioned table joined against a cross-region S3 bucket. The query didn't just fail; it locked the Databricks SQL Wa

Dev.to (EN Zone)
Putting GitHub Actions runners on your private network with NetBird Cloud

Putting GitHub Actions runners on your private network with NetBird

Sooner or later a CI job needs to reach something that is not on the public internet. A staging database, an internal container registry, a deploy target sitting behind a firewall, an integration test suite that talks to a service you have no intention of exposing. The usual answers are not great.

Dev.to (EN Zone)
A Webhook, a Free Server, and a Token Ledger AI & ML

A Webhook, a Free Server, and a Token Ledger

A developer needed a small notification service. GitHub pushes had to become short messages in a private chat. The budget was zero, and the tolerance for maintenance was lower than the budget. The obvious options were a hosted function or a cheap VPS. Both cost something, and both came with account

Dev.to (EN Zone)
Why AI food looks like that Industry

Why AI food looks like that

There is a torrent of unappetizing slop coming from restaurants, cafes, and brands that are increasingly turning to AI to generate images promoting their food. The resulting horror show includes donut shrimp, Reubens from the deep, wormlike noodles, and noodle-like pastries and stringy chicken. Ther

The Verge (Tech)