This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.

There’s an old saying that goes: when life gives you lemons, make lemonade. [lds133] must have heard that saying, because when life took the magic liquid out of his Magic 8 Ball, [lds133] ...

Once the premium option for data transfers and remote control for high-end audiovisual and other devices, FireWire (IEEE 1394) has been dying a slow death ever since Apple and Sony switched over ...

Everything you may have missed from the past week.

#Customer intent: As an integration developer who works with Azure Logic Apps, I want to create my first automated integration workflow by using Visual Studio Code. # Quickstart: Create integration ...

Raspberry Pi MicroSD Card (32GB or larger) MicroUSB Cable (data-capable) Computer with Windows, macOS, or Linux and internet access Now you are all set! The app is straightforward. You can either send ...

VS Code's AI Toolkit Agent Builder can wire an agent to external tools via MCP, even for non-coding editorial workflows. Early friction points included circular UX flows, model availability mismatches ...

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...

See how new updates to computer‑using agents improve UI automation with secure credentials, detailed monitoring, and scalable Cloud PC capacity. When we first introduced computer-using agents (CUAs) ...