Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

Nvidia's chief executive Jensen Huang states AI is changing software engineers' work. Engineers now focus more on developing ...

Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

PubNub introduces Blocks.ai today, a global network to connect and control agents across all agent frameworks, providers, and APIs. Blocks.ai lets developers reach their existing AI agents regardless ...

Excel is everywhere—more than 750 million people open a workbook each year to balance budgets, fine-tune supply chains, and ...

Discover how the Rogue Agent vulnerability in Google Dialogflow CX enabled persistent AI agent compromise, data exfiltration, ...

Learn the important Racket concepts with practical examples, from functions and recursion to macros, contracts, streams, and ...

Formulas are powerful tools for performing calculations and analyzing data in Excel. In this beginner’s guide, you’ll learn how to use formulas (with or without help from the Copilot AI assistant) and ...

Google released the Genkit Agents API in preview for TypeScript and Go. The open-source framework packages message history, ...