Call for speakers open for Platform Summit 2024
Bill Doerrfeld | April 23, 2024
I'm getting excited for this year's Platform Summit, to be held October 7-9 2024. Speaker submissions are now open!
For those unaware, the Platform Summit is Nordic APIs' flagship API conference. Every year, we collect some of the brightest minds in the API industry for an intimate summit to discuss how to create top-tier API platforms. The event is now in its 7th year.
I'm helping review submissions for the event and we've already got some great submissions. But, we'd love to feature more API case studies and welcome newcomers. Talk submission details are here.
I'm also happy to chat if anyone would like to learn more or suggest topic ideas. Feel free to reach out on my contact page.
Here's a playlist of sessions from Platform Summit 2023:
86% of developers are embarrassed by their tech stack. And, it's causing them to quit. I look at the implications of a report from Storyblok.
The majority of enterprises are now multicloud. I compared six of the leading multicloud management solutions for InfoWorld.
AI researchers are calling the next class of models large action models (LAMs). For The New Stack, I explored what LAMs are, what examples are emerging in the market, and what experts think.
My article for LeadDev explores specific prompting techniques proven to sharpen your AI-assisted software development.
Nordic APIs, the API-specific blog I edit, was recently ranked the top API blog online by FeedSpot. After ten years managing this presence, I reflect a bit on the journey thus far.
Developers are realizing that being productive with AI coding assistants takes a lot more than just asking nicely. There's real craft to it.
AI coding is the easy part. Now it's time to focus on DevOps to get it into production. In a recent interview for LeadDev's DirectorPlus, Honeycomb's CTO, Charity Majors, shares expert tips on how to accomplish this.
My latest for The New Stack explores new research from Ai2, DataDecide, which helps LLM developers make better decisions around training data.
My APISEC|CON talk covers the hype around agentic AI and MCP, and delves into inherent flaws in MCP architectures and suggests mitigations.
AI coding assistants are a productivity dream in some cases — and a debugging nightmare in others. So, where’s the line?
