The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

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

A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, ...

GitHub Copilot app modernization for C++ helps to streamline the process of adopting the latest version of the MSVC Build ...

Paid training is best for certain applications, but free courses allow the whole company to upskill fast with a common ...

Strip the types and hotwire the HTML—and triple check your package security while you are at it. JavaScript in 2026 is just ...

New research from Epoch AI suggests any revenue surplus from one model ‘gets outweighed’ by the expense of developing the ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

The database is no longer just where data lives, but where context gets assembled – and in AI, context is everything.

AgentStack targets the biggest blocker in enterprise AI, operationalizing multi‑agent systems without locking developers into ...

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.

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