v30.0 Release Notes

MCP servers can quickly drain context windows without guardrails. Thankfully, there are ways around this, say the experts.

It may seem like AI agents are suddenly doing everything across industries. But in reality, the pace of agentic AI is moving carefully, and very deliberately, in highly regulated environments like finance and banking.

My latest feature for InfoWorld explores when it makes sense to scrape public web sources, and when official API integrations are the better choice for external data.

What does it mean to go nano with your software updates — to "carve with a scalpel" instead of swinging a hammer? For my latest DirectorPlus piece, I caught up with Chainguard VP Dustin Kirkland to dig into that idea.

I recently moderated a webinar that brought together three luminaries in the API community to discuss the importance of API standards in agentic AI development.

The more folks use MCP servers in development, the more they’re realizing it can lead to runaway token usage, unpredictable response sizes, and flooded context windows.

Who really benefits from AI coding tools? New research suggests AI amplifies existing top performers more than average developers. Read my post on LeadDev.

Many say edge computing will enable the future of AI inference. For InfoWorld, I looked at the tech required, and the roadblocks to overcome to get us there.

Survey data from Zuplo finds rising MCP adoption, security concerns, and shows how developers are using MCP servers to connect AI with APIs in 2026.