AI

A developer’s guide to avoiding the brambles

Software development is fraught with peril. For any development task, there are a million ways to do it wrong, and the one correct...

Microsoft rolls out Agent 365 ‘control plane’ for AI agents

Microsoft Agent 365 has been introduced as a control plane to help organizations deploy and manage AI agents at scale. Unveiled November 18, Agent 365...

Microsoft Fabric IQ adds ‘semantic intelligence’ layer to Fabric

With Fabric IQ, Microsoft is adding new semantic intelligence capabilities to its unified data and analytics platform, Fabric, that it says will help enterprises...

Google releases Gemini 3 with new reasoning and automation features

“Workflows that cut across multiple systems, involve human exceptions, compliance reviews, or high-risk decision points still require careful orchestration and typically human-in-the-loop supervision,” Srinivasamurthy...

Google unveils Gemini 3 AI model, Antigravity agentic development tool

Google has introduced the Gemini 3 AI model, an update of Gemini with improved visual reasoning, and Google Antigravity, an agentic development platform for...

How to automate the testing of AI agents

One best practice is to model AI agents’ role, workflows, and the user goals they are intended to achieve. Developing end-user personas and evaluating...

Do you really need all those GPUs?

For years, the narrative around artificial intelligence has centered on GPUs (graphics processing units) and their compute power. Companies have readily embraced...

10 JavaScript-based tools and frameworks for AI and machine learning

ml5.js The browser is where JavaScript first appeared, so it’s a natural fit for machine learning applications written in JavaScript and TypeScript. ml5.js is a...

Why software development slows to a crawl

An engineer refreshes a pull request page for the fourth time. New comments appear. More reviewers get tagged. The change has been...
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