Getting over the AI policy board bottleneckAlso, people have suggested that have just two roles on the AI Center of Excellence Gatekeepers Guild is a good idea. Those two roles being security and legal. The theory is that the security people are used to this kind of thing and have processes in place. Also, that they are narrowly focused on a handful of things. You need the lawyers for all the whacky IP stuff.

PaaS TalkWe’re trying to amp up more technical explanations and demos of why Tanzu Platform/Cloud Foundry are great. Here is a little front-runner for a demo I’m going to extract from this same talk. Relative to your interestsI didn’t take the time to organize these by topic. Apologies and kisses. UK government productivity not enhanced by Copilot AI - ‘The main uses were “transcribing or summarising a meeting”, “writing an email”, and “summarising written communications”.

How big the Kubernetes market?TAM-time for managing Kubernetes: The container management market has grown more than 20% over the past year, with a market value of over $2.5 billion in 2024. The market is forecast to exceed $4.5 billion in constant currency by 2028, with a 17.6% compound annual growth rate (CAGR). Gartner, August, 2025. That TAM means that every vendor looking to sell Kubernetes is competing for slice of $3bn to $4bn pie.

Building your own internal developer platform is a lot of work, buy it insteadHere’s a transcript: One of the reasons internal developer platforms are so valuable is because they do so much, and that’s something that you run into if you’re trying to build your own platform instead of buy it. The goal of a platformThe goal of a platform is to remove as much toil wait time, just nonsense work that a developer has to do just to get their applications into production, just to actually run them and configure them.

Summer. For most of my life I lived in Texas, where the heat of summer melts your face off. Summer was fun because I wasn’t in school, not because it was sunny. Now that I live in a part of the world where summer is mild, I really like summer. I see what all the fuss was about! So, too bad it’s mostly over now. On this week’s Software Defined Talk episode we discuss the effectiveness of reorgs, Meta’s new AI team, and the Google antitrust ruling.

You should check this out: You can try out our AI platform with a 90 day trial. It’ll host models in private cloud, act as a proxy to public models (OpenAI, Gemini, Anthropic, whatever), and has tight integration with Java apps. Python works fine too, of course: you can host LangChain in it to get management over all the AI goop. It’s all in the current version of the Tanzu Platform.

Original contentHere’s two of my podcasts to share with you: Capitalism is working, Software Defined Talk #534: “This week, we discuss the US backing Intel, SaaS staying power, and AI’s impact on deep work. Plus, Matt Ray’s moving tips and more kolache talk in the after show.” Also available, unedited, in video form. The business value of developer relations, devrel history, plus more stuff, with Mary Thengvall: “In this episode, Whitney and Coté chat with Mary Thengvall, exploring the development and significance of Developer Relations (devrel) over the years.

Here is some (book) writing pedantry for business book writing. Of course, the way to write anything is to “just start writing.” For some people, this works. For most, the question is, “yes, but how ‘just start writing’?” That is, how do you start with a blank screen/blank sheet of paper? For me, I start typing into the screen like I was talking to someone, complete with things like “you know,” and “like,” and especially, “I mean…” Don’t write like you would write, write like you would talk.

Lots of AI slowdown and skepticism in the past week. Likely due to the letdown of the GPT-5 release, I guess? First, though from last month, The Economist asks “Why is AI so slow to spread?” GPT5 says it says: Integration Costs and Technical Frictions Many businesses haven’t integrated their datasets effectively into the cloud, creating latency and transaction costs. Even with AI tools available, getting data into the right format and place is a barrier—making adoption slow and expensive.

Three good videosPlatform Engineering 2025: What “great”’ looks like now. Most platform engineering talks are very frustrating for me. The same stuff over and over since about 2015. The platform engineering space is rife with people who’ve made the monumental mistake of thinking Kubernetes is a platform and then finding out they have so much more to build on-top of that thin layer. Meanwhile, based on that false assumption, the industry just jettisoned all the PaaS technology we had.