Tag: agenticai
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Roundup for Friday
How Broadcom TrueSource handled the PHP freakout, an analog speedometer on an old police car, flipping the AI-voice bozo-bit, Agent Skills moving to the Linux Foundation, revealing interview questions, Gartner on the 13% of CIOs seeing real AI value, Photocraft versus Photoshop, and 1Password for agents.
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A new agentic AI platform – Tanzu Platform 11
We’re now shipping a full on agentic platform, built on Tanzu Platform. It’s probably the only enterprise grade, proven, private cloud platform stack out there for running apps, serving up AI, and providing all that isolated VM and deny by default stuff you want for your enterprise AI apps…or any app in general as our…
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The comming Full Disk Access apocalypse, for agentic AI.
Finer grained and more transparent access controls on MacOS (that have CLI options instead of just hard-enforced GUI modals) would be cool. Apple seems to think that by making a scarier warning they can convince more users not to grant FDA–or at least perhaps deflect blame from Apple to the user if they later regret…
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Fulldisk access woes to come
It’s probably a good idea, but it will be very annoying for the AI-crazed…like myself. 🔗 Apple Says It Will Further Lock Down MacOS in Response to Third-Party A.I. Agents
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What Meta Muse needs to do to succeed in The Enterprise.
Muse gives Meta a strong starting point. It is a persistent agent that can perform tasks across applications rather than simply answer questions. Its early popularity also gives Meta something most enterprise AI vendors lack: users who may already understand the product before encountering it at work. But consumer adoption is not proof of enterprise…
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I don’t want your UI, just give me an API
AI agents have made many apps unnecessary. Oh, I still need the data or function from that app. But I never want to “see” it again. Drop the user interface. Go headless. Why am I still logging into a system three times a year to mark my vacation time? Or navigating multiple travel sites to…
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funky lifestyle demos
I feel we’re coming to another plateau of decreasing returns, because even as models keep getting (arguably) smarter, what you can do with them beyond flashy demos hasn’t really gelled into useful outcomes yet. … AI is not going to be much help with that, other than remove toil (yes, it will sort out your…
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Subscriptionpocalypse
One other side note – as I was writing this, I started to realize how many businesses rely on consumers being lazy. Think about insurance – how often have I received a bill where the out of pocket was higher than expected. Or certain procedures wasn’t deemed “covered.” What I could do is get on…
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Understanding ChatGPT Work
Reverse engineering OpenAI’s sprawling agentic AI PaaS. 🔗 Understanding ChatGPT Work
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Platform Engineering 2.0: The Evolution of the AI Era
The same five-pillar argument as the Platform Engineering 2.0 white paper, but in conversation and with two things the slide deck does not say out loud: that the internal developer platform is becoming an agent developer platform serving dozens of machine consumers per human, and that virtual machines – pushed off the golden path entirely…
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The Evolution to Platform Engineering 2.0
Platform engineering succeeded so completely that the platform most enterprises already run is now the constraint: built for one persona, before AI workloads, autonomous agents and GPU scheduling. The proposed fix is to push security, cost awareness and AI readiness down into the platform as defaults rather than onto developers, which makes infrastructure the strategic…
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Tokenmaxxing at Amazon, Potato Stamp Fonts, and Tax Code Hacking – Related to your interests, Monday
Also: Elon’s OpenAI lawsuit, build-vs-buy for agentic AI, and rethinking observability. From: Wakamai Fondue, the tool that answers the question what can my font do? Related to your interests Amazon employees admit to using AI unnecessarily to pump up internal usage scores – workers complain of intense pressure to use AI tools – Tokens are…
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Buy your platform, AI edition
Building an internal agentic AI platform in banking or insurance demands a multi-year orchestration engineering commitment with a regulatory surface area that most organizations underestimate. [Bryan Ross] Tinkers and opexmaxxers take in huge risks when they decide to build their own platforms. And it usually fails, for at least seven reasons. 🔗 The hidden cost…
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McDonald’s Geofence, Power Tools Got Worse on Purpose, and Big Things Are Trusted Less – Related to your interests, Wednesday
Also: AI makes marketing opaque, execs value humans less, and clown world logic. You’re either left holding the bag, or pro-activity delivering “value creation” The answer is pretty clear: TryTanzu.ai. Related to your interests What’s New in Tanzu Platform 10.4: Powering Agentic Apps at Scale – Nick and Keith walk through it. Quit VMware and…
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Tanzu Platform 10.4 Source Coverage
Here’s coverage of our recent Tanzu Platform 10.4 announcements. This is a big agentic AI release, bringing in to Tanzu Platform all sorts of features to secure, standardize, and otherwise make agentic AI work more enterprise-y. My think on 10.4 is listed below too. There’s also the short video I made on the 10.4: Tanzu…
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Tanzu Platform 10.4: a private cloud platform for AI harnesses (or, “agentic AI”)
AI companies are building platforms for running agentic applications. Right now, those applications are primarily for software development, with a little bit of knowledge worker stuff. In each case, you get a “harness,” an application that wraps all sorts of functionality around a model. This harness app is way beyond the chat-based apps we grew…
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Don’t forget what I told you yesterday – AI memory and the mind palace – Tanzu Catsup
If you’ve spent any real time with Claude Code or Cursor, you know the feeling. The thing you told the agent five minutes ago is now optional as far as it’s concerned. The fix isn’t a smarter model. It’s architecture. This week David Zendzian and I dig into memory for AI agents – what it…
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Agents Don’t Know What Good Looks Like – And That’s a Design Constraint, Not a Bug
Summarized by AI on April 11th, 2026. Luca Mezzalira reacts to a fireside chat between Neal Ford and Sam Newman on agentic AI and software architecture. The core argument is that current AI agents are stuck between novice and advanced beginner on the Dreyfus Model of Knowledge Acquisition – they can follow and even adapt…