Organizations embracing agents often fail to estimate the costs of testing their output, with the non-deterministic nature of results often leading to complex and expensive evals.

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

AI didn’t just automate coding — it made software unserviceable, accountability fuzzy and risk-scalable, while boards pretend ...

A hands-on test compared Visual Studio Code and Google Antigravity on generating and refining a simple dynamic Ticket Desk ...