Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Copilot Pro+ and Copilot Enterprise users now can run multiple coding agents directly inside GitHub, GitHub Mobile, and ...

The learning pathway, housed within the Google Developer Program, aims to equip developers with hands-on expertise in building and deploying AI agents using the Agent Development Kit.

IT teams are stretched to their limit. The solution lies in rethinking who gets to build, who gets to automate, and how work actually gets done.

We are fast approaching the day when anyone with an idea will be able to create an application or a website in hours.

The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...

Cloud providers’ hoarding of GPUs, memory, and other hardware to support AI workloads is causing scarcity, pricing out ...

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

Salesforce’s decision to halt new enterprise sales for Heroku most likely signals a strategic de-prioritization of the ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...