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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.

Blockchain for everything, metaverse, big data, NFTs... In hindsight, what were we thinking? Today, I call out some of tech's biggest overhyped trends on InfoWorld.

Like any production software application, AI agents are producing a spectrum of metadata behind the scenes. Some are calling agentic metadata a “gold mine” to direct continual improvements.

My latest DirectorPlus column with LeadDev interviews Bedrock Robotics' CTO, Kevin Peterson, on what it takes to develop highly adaptable and safe autonomous machines.

I explore some tips to help speakers craft solid pitches. The Nordic APIs speaker selection committee looks for these sorts of things, but the tips could apply to any tech event.

I made 10 predictions on how AI and APIs will converge in 2026. Signs point to AI agents being the next big API consumer.

My latest for InfoWorld breaks down 10 MCP servers powering next-gen devops workflows, from GitHub and Atlassian to AWS and Pulumi.

Excited to share my talk from Nordic APIs' Platform Summit 2025. As the opening talk of the event, I wanted to address the elephant in the room head-on: MCP.

Watch all the great API talks, keynotes, and panel discussions from this year's Nordic APIs Platform Summit, now available on YouTube.

Block's open source initiative is helping to build brand reputation, attract talent, boost partnerships, guide internal open source best practices, and aid long-term system reliability.

Achieving ROI with AI requires a mix of strong leadership stewardship upfront, shifting the talent framework, and embedding proper monitoring and governance throughout the lifecycle.

I recently explored what goes into creating a solid AI agent knowledge base — from the types of data it should contain to the retrieval mechanisms and architecture patterns that support reliable agentic behavior.

I recently spoke with LinkedIn VP of Engineering Prashanthi Padmanabhan about the making of their Hiring Assistant, an agent recruiters are using to optimize the applicant selection process.

How do you fail at platform engineering? Make it 100% UI-first. Don't market it. Survey no one. Measure success by who's onboarded. And just copy what others are doing.

This year's Platform Summit felt reinvigorated, with many new motivations and areas to discuss. Of course, AI agents and MCP stole the show.