Generative AI | News, how-tos, features, reviews, and videos
IBM-Anthropic partinership aims to accelerate the development of enterprise AI applications, while incorporating security, governance, and cost controls.
CodeMender aims to help developers keep pace with AI-powered vulnerability discovery by automatically patching security flaws.
With its new Apps SDK built on the Model Context Protocol, developers can build data-connected apps that live within ChatGPT.
Nonfunctional requirements for AI agents are similar to NFRs for traditional applications, but they require additional layers. Here are the key areas to focus on, with examples to help you get started.
Look past the trends to understand the fundamental business drivers and pitfalls of microservices in generative AI architectures.
There are fascinating and useful treasure troves of data out there, and APIs let you get at them. Here’s a look at the wide world of APIs for finding and manipulating data in your applications.
AI agents trained on their own experiences have the potential to revolutionize operations. Practical applications are already emerging.
This month’s theme is: Keep an eye on the future but hone your coding craft in the now. Start here, with nine timeless JavaScript coding concepts, a look at Nitro.js—fast becoming the go-to server option for JavaScript and Node—and
Open-source Microsoft Agent Framework allows developers to build complex multi-agent workflows using .NET or Python, according to the company.
Responding to recent NPM malware attacks, Chainguard Libraries for JavaScript seeks to address security vulnerabilities in the JavaScript ecosystem.