Coté

Fully Synergized Paradigms - Related to your interests, Monday sweep

Mon, 09 Mar 2026 17:45:17 +0100

The Links

Workers who love ‘synergizing paradigms’ might be bad at their jobs - “The results revealed a troubling paradox. Workers who were more susceptible to corporate BS rated their supervisors as more charismatic and ‘visionary,’ but also displayed lower scores on a portion of the study that tested analytic thinking, cognitive reflection and fluid intelligence. Those more receptive to corporate BS also scored significantly worse on a test of effective workplace decision-making.” But, the others are more cynical and, I would guess, more grumpy: “The study found that being more receptive to corporate bullshit was also positively linked to job satisfaction and feeling inspired by company mission statements. Moreover, those who were more likely to fall for corporate BS were also more likely to spread it.” // Related: (PDF) The Corporate Bullshit Receptivity Scale: Development, validation, and associations with workplace outcomes.
The Brand Age - Brand is a strong lock-in, both for the buyer and as a constraint on the seller. Example: Claude seems more moral and clean, OpenAI is icky like Facebook. Both are the same in cost and utility. Once a company finds its competitive advantage via brand (loyalty to both brand and function - Nike shoes, Apple), the switching costs for both functionally and psychologically for buyers is tough. But, the seller is trapped in that constraint as well: they have to keep delivering what the customer wants. That’s some classic innovator’s dilemma.
HR may have to cajole employees to use AI - My read of this kind of thing is that enterprises are struggling to find uses for AI in day-to-day work. Programming is the exception. // “The enterprise whisperer says that its July 2025 survey of nearly 3,000 employees showed that 46 percent of managers are experimenting with AI to improve their work, compared to just 26 percent of employees.” // Once you find a good use for a new technology, and a good form-factor, it will spread virally in your organization. You have to focus on finding those uses, on setting up the policy, the platform, and the “system” to allow for that exploration and discovery. Instead of focusing on training and org - stuff so much - the human, “culture” stuff - focus on putting in place an environment where diffusion can happen.
Related: Deloitte’s State of AI 2026: Why Enterprise Execution Is Falling Behind Adoption - “most companies have focused on training rather than restructuring how work gets done. This means that employees are being educated about how to use tools without actually reworking how work gets done using these tools.”
Why Europe Doesn’t Have a Tesla - Fired CEOs are infamous for getting huge golden parachute packages, millions when they get fired. What if every employee also had a golden parachute? Good enough for the goose, good enough for the gander. Econ-Growth hogs be hatin’, tho.
The Software Development Lifecycle Is Dead - What if the robot does everything? // From the same author: How I Use Claude Code.
🤖: Rethinking Sovereign AI as Strategy - India’s AI summit pushed hard on domestically developed models and national compute capacity, but the article argues full AI sovereignty is economically impractical for most countries. Better to selectively own, control, or partner based on strategic necessity rather than chasing complete independence.
The Song of LinkedIn - Good satire that shows you how to write a LinkedIn post.
ZIP Code First - This is how most address forms in the Netherlands work. It’s pretty magical.
Steven Heller’s Font of the Month: Curve Display.

Wastebook

“The Calvinist-adjacent aversion to conspicuous branding.” Claude on Hunkemöller versus Victoria’s Secret.
“There is unlimited potential value in a markdown file that argues cases in court” JasonJ.
“The rare agent post that reads like a system, not a seance.” Comment.

Logoff

I am getting some real applied learning on applying agentic to enterprise-y things that are not programming. It is amazing with the right rig.

Related to your interests - Week of March 2nd, 2025

Sat, 07 Mar 2026 20:00:41 +0100

The Links

Claude, without me asking, rewrote many of my original description below. Enjoy!

Pentagon Leverages AI in Iran Strikes Amid Feud With Anthropic - One artillery unit doing the work of 2,000 staff with a team of just 20 people. Anthropic didn’t want their model used for this; the Pentagon used it anyway. The future is here, it’s just unevenly distributed between PR statements and actual weapons targeting.
Anthropic’s Pentagon Feud Accelerates Push Into Consumer Market - Claude’s free active users grew 60%+ and daily signups grew 4x since the start of the year. Apparently nothing boosts consumer signups like a military controversy.
Pentagon’s Anthropic Designation Won’t Survive First Contact with Legal System - “The legal problems are so glaring, in fact, that a cynical possibility suggests itself: The administration knows this won’t survive judicial review and is doing it anyway, so that when they inevitably lose, they can still claim to have gone hard against Anthropic. This is designation as political theater: a show of force that was never meant to stick.”
U.S.-Iran war threatens Gulf AI infrastructure as both data chokepoints close - Thrilling times for IT threat modelers: billions of dollars in U.S. technology infrastructure, and trillions more in planned investment, now depend on fiber-optic cables running through war zones. Or, they could just bomb the data centers directly.
Broadcom May Become The Biggest Counterbalance To Nvidia
Rethinking Sovereign AI as Strategy -
Manipulating AI memory for profit: The rise of AI Recommendation Poisoning - Attackers manipulating what your AI “remembers” to steer its recommendations. A new attack surface nobody really planned for when they bolted memory onto LLMs. This is done with URL-driven prompt injection.
Ultimate prompting guide for Nano Banana - From Google, so it’s not web garbage trying to sell you a “guide.”
How Oren personalizes his AI stuff - His CLAUDE.md setup, etc.
Skilled Agents - Bill goes over some more AI rig personalization.
Creative Work in an Age of Digital Production - “MrBeast’s great strength as a contemporary creator is that he has no ambition beyond repeating a pattern. He’s a machine-listener.” There’s something a little missing here though — his execution of the pattern is the thing. It’s a genuine evolution of reality TV and game shows. Plus, really good YouTube thumbnails.
🤖 Reversible men and Lipský’s Happy End - The protagonist Bedřich Frydrych is “born” via guillotine reattaching his head, his murdered wife is reassembled from pieces in a bathtub, and the axe is pulled from her forehead to revive her. Frydrych’s cheerful voiceover reframes every atrocity as a positive domestic development.
Meta Ray-Ban smart glasses footage reviewed by contractors -

Wastebook

“A standard confused NINO account.” Russel
Sometimes, CEOs are not reliable narrators.
If Claude created images, it’d be a full replacement of the other AIs.
“six-page narratives in seconds.” This changes everything.
“Stick with ‘meh’ because it’s safe.” WIP.
I asked Nano Banana to make a slide for me, and it made the slide, but as if it were a photograph I’d taken at a talk. It included being framed poorly, cutting off half the title and crooked. Amazing!
“a hotel-led, mixed use transformation.” He got a leaflet.
That moment when you’re watching some streaming service show and you’re like “fuck, I’m two seasons in and I just realized this is just a well produced soap opera.”
Some people survive by embracing the absurdity of the BigCo, sort of as a TV show they watch from time to time. Doing that would make you cynical, but the other part is working on what you think matters in the meantime.

ICYMI

When to use AI for writing, and when it’s totally acceptable
I’ve been working on some faux game cards to use a schwag ar work. They were finally released in the wild. Here’s a picture of two. I’m making a series two for Spring I/O.
Software Defined Talk Episode 562: Bureaucracy: Still Unsolved - This week. we discuss Claude Code’s momentum, Cursor’s identity crisis, and the SDLC’s uncertain future. Plus, Coté finally explains how Markdown is destroying the economy.
Software Defined Interviews Episode 121: Art Degrees, Sun Microsystems, and How Kubernetes Scales Contributions, with Josh Berkus - Whitney and Coté discuss with Josh Berkus (Red Hat, Kubernetes contributor) how liberal and fine arts degrees (philosophy, photography, sculpture, pottery) apply to tech careers. Berkus details how early hardware experience influenced his database performance work, noting hardware’s renewed relevance with AI and multi-arch computing. The conversation covers Sun Microsystems’ 1990s internet role, internal politics, and its MySQL/Postgres strategy. They examine open source’s shift from end-user to vendor-driven models, foundations’ roles, and contributor incentives. Berkus describes Kubernetes release processes, contributor-experience programs, and its resilience to low-quality AI contributions.

Logoff

I’ve started to use Claude Core for non-programming agentic stuff. Once you set up the memory system (just storing context in various ways), it is, indeed, amazing.

When to use AI for writing, and when it's totally acceptable

Fri, 06 Mar 2026 07:37:25 +0100

If you’re dyslexic and just trying to communicate more clearly in writing, or you’ve got a bullshit job and you just want to get your bullshit job’s bullshit tasks out of the way so you can move on to more meaningful endeavors, or at least move past the day-to-day slog that permeates your workday and serves no real purpose other than to pay the bills, then I cede; I cannot fault you.

From: “LLMs Are Antithetical to Writing and Humanity”

As I like to say, if it’s bullshit work, let the bullshit artist do it.

I think we can all agree on cheese on that one.

How about work that isn’t bullshit?

One objection to AI driven writing and learning is that it’s too easy. I’m leering of the Protestant take on work and learning: if it’s not painful (“struggle”), it’s not worthy. The worth of something is proportional to how much suffering it requires.

With writing, I favor a more pragmatic approach: did people read it? Did they like it? Then it “works.” The quality of writing is proportional to the reader’s acceptance of it.

There are many aesthetics for that, many audiences. If your readers like to know - even hear tales of - your suffering to make it, then that is success. For example, Joan Dideon and Hunter Thompson evidence this pain of writing and the process - that is part of the gonzo aesthetic. Susan Sontag has a different kind of suffering aesthetic in her writing.

Hemingway has a machismo version of good writing is suffering: I bled this out, aren’t I man? Fitzgerald effortlessly hides it, and it’s all as much a part of Sarah Manguso’s writing as the actual suffering she is writing about and vibing.

As reader, knowing that those writers suffered to give you this text is part of the enjoyment, the essence of the writing, how it makes the reader react and feel, and with the best of that writing, how it changes the reader.¹

For most readers…some don’t care, they just want to laugh at Hunter Thompson talking to Nixon at the urinals or feel a kindred spirit as Joan Didion processes slow death of her daughter and husband. Or thrill in the cleverness of Sontag.

If you saw the suffering of writing Dungeon Crawler Carl, it would ruin the awesomeness of that series.

Similarly, when you read The Economist or an AP report, you don’t want to know about the suffering. You want to get information as clearly and quickly as possible. If you’re a writer, you may know that much suffering was done; more precisely, you know how incredibly skilled those writers are to avoid suffering and work quickly.

So, when it comes to using LLM’s for writing, my criteria is “did it work?” Defining “work” there is the real question because it’s defined by your goals and readers, and also your constraints (time, ability, cost, etc.)

In the original, dyslexia is used as a justification for writing. I’d add something more widespread: not being trained - not having suffered to learn! - how to write. If you need to write something and you “don’t know” how to write, to get accomplish your goal, to get on with life, use AI. That won’t always be “bullshit” work.

I think that’s one thing that’s driving writers and readers crazy. Similarly, professional programmers are (rightly) freaking out that with code generators more people can now code. They are having an aesthetic reaction: coding should require suffering. Now: no suffering required, and that’s fine.

To that end, the original piece; lays out excellent advice on how to integrate AI, as a tool, into what you do. More like a philosophy of how to do it.

Also, highly related is this take on MrBeast. Clearly, the author does not like the aesthetics of MrBeast’s work. But, civilization has shown that it “works.” I don’t like Shakespeare (at all) and I find Victorian literature tiresome. I much prefer still lifes with huge chunks of cheese and shucked oysters over pictures of soup cans. People have different aesthetics, so it goes.

In another domain, the need to suffer for quality content (“art,” even) is core to Hip Hop. The difficultly of life, to get the ink to sink into the paper, the struggle to get in the booth night after night to record becomes part of the work itself, the lyrics and even the sound. The artists’ blood sinks into the song. Courtney Barnett (there’s a whole movie on her suffering!), sure, but not really Khruangbin. ↩︎

Art Degrees, Sun Microsystems, and How Kubernetes Scales Contributions, with Josh Berkus - Software Defined Interviews #121

Wed, 04 Mar 2026 11:21:55 +0100

Our interview for this week is up, it’s with Josh Berkus:

Whitney and Coté discuss with Josh Berkus (Red Hat, Kubernetes contributor) how liberal and fine arts degrees (philosophy, photography, sculpture, pottery) apply to tech careers. Berkus details how early hardware experience influenced his database performance work, noting hardware’s renewed relevance with AI and multi-arch computing. The conversation covers Sun Microsystems’ 1990s internet role, internal politics, and its MySQL/Postgres strategy. They examine open source’s shift from end-user to vendor-driven models, foundations' roles, and contributor incentives. Berkus describes Kubernetes release processes, contributor-experience programs, and its resilience to low-quality AI contributions.

Listen to the traditional podcast format, or watch the video if you prefer.

Related to your interests, Tuesday

Tue, 03 Mar 2026 16:03:12 +0100

The Links

Gartner Research Reveals CFOs’ Budget Plans Prioritize Growth Functions, Technology and AI in 2026 - More spending on tech, less on people.
The Supreme Court doesn’t care if you want to copyright your AI-generated art - I think this means you can’t copyright stuff made by AI? In the US, at least. How about programming code? That’d be a big shift!
What AX can do to deliver cohesion and uniformity to AI agents - 🤖: Agents amplify whatever structure - or chaos - already exists. If your systems are ambiguous, undocumented, or inconsistent, agents will surface that immediately. If your systems are structured, explicit, and governed, agents become powerful operators rather than confused scrapers.

Wastebook

“six-page narratives in seconds.” This changes everything.
“Stick with ‘meh’ because it’s safe.” WIP.
I asked Nano Banana to make a slide for me, and it made the slide, but as if it were a photograph I’d taken at a talk. It included being framed poorly, cutting off half the title and crooked. Amazing!
“a hotel-led, mixed use transformation.” He got a leaflet.
That moment when you’re watching some streaming service show and you’re like “fuck, I’m two seasons in and I just realized this is just a well produced soap opera.”
Some people survive by embracing the absurdity of the BigCo, sort of as a TV show they watch from time to time. Doing that would make you cynical, but the other part is working on what you think matters in the meantime.

Logoff

I’ve had a hodgepodge of things to do of late, during the day and the evening. It’s most satisfying to do one thing, a big unit of work. But, thankfully, the hodgepodge is usually just due to me not arranging my time well. Productivity gas-lighting!

On second thought, moving the newsletter to micro.blog isn’t exactly what I want to do.

DIY Stacks, Agent Memory, and the Great Migration - Related to your interests, Monday

Mon, 02 Mar 2026 15:17:53 +0100

Links! Wastebook! Background changes afoot!

Potsdamer Platz bei Nacht, Paul Paeschke, ca. 1929.

Related to your interests

Why your DIY Kubernetes stack won’t survive the era of agentic AI
How tech chiefs gauge ROI on AI - AI uses: better search, preparing leases, and this: “When the system senses that ice is running low, it fires off an order to AI agents, which begin routing trucks to fulfill orders. The system also takes into account historical sales trends, weather analytics and other factors to anticipate each route’s ice requirements.”
Writing code is cheap now - “For now I think the best we can do is to second guess ourselves: any time our instinct says “don’t build that, it’s not worth the time” fire off a prompt anyway, in an asynchronous agent session where the worst that can happen is you check ten minutes later and find that it wasn’t worth the tokens.” // Also worth pondering: code is cheap now, but not free.
The new funnel? - Sources for newsletter traffic: “50% word of mouth, 25% search, 25% robo-brain [AI].” // Original post here.
The Deleted City 3.1 - I’m not sure what this is but I like it.
On Cobol, Mainframes, IBM and Blog Posts - Modernization requires a lot of people stuff. Also, if a company is in the legacy trap already, that was a form of self-harm that they need to address regardless of the code. // “However, the attitude of the organisation – the digital literacy – is probably the most important factor. How do they view the ongoing maintenance of their investments in technology. Are technology projects one off investments – get me from point a to point b – or has there ever been an appetite for ongoing investment. Care and feeding. Ask yourself the question how did the organisations that are desperate for this magic bullet end up in this mess in the first place?”
Child’s Play - ”Individual intelligence will mean nothing once we have superhuman AI, at which point the difference between an obscenely talented giga-nerd and an ordinary six-pack-drinking bozo will be about as meaningful as the difference between any two ants.”
Agent Memory Is Not A Greenfield Problem: Ground it in your Existing Data - Connect your LLMs to existing Java apps to skip several the data integration mess, and the need to recreate all your business logic. // ”An agent memory system running on the JVM doesn’t need to call an external API to learn about your customers. It can simply call its own services and repositories, benefiting from their business logic and tested behaviour. Nor does it need to go through MCP, when it can find answers faster in process. It can access the same CustomerRepository your application already uses. It can resolve a proposition like “the user prefers Italian food” against the actual Customer entity and the actual Cuisine entity your recommendation engine already depends on — in the same process, with the same transaction guarantees, through the same Spring context.” // And: “This explains the many failures. Not because AI doesn’t work, but because the approach is wrong. Companies are standing up parallel infrastructure – Python services, vector databases, hosted memory layers, prompt chains – that have no organic connection to the systems that actually run their business. The AI doesn’t know your domain. It doesn’t understand your constraints. It doesn’t share your type system, transaction boundaries or security model. It’s an alien stack that you spend months trying to integrate, and mostly fail.”
On pressing the space bar for the Cabinet - Check out the space you’re presenting in ahead of time.
Privilege is bad grammar. - The Boss Email.
Red Hat takes on Docker Desktop with its enterprise Podman Desktop build - “Positioned as ‘enterprise-ready local container development,’ it is currently in technical preview and available through Red Hat’s developer channels for qualified customers. Red Hat pitches the offering as a way to lower the barrier to using containers by allowing developers to build, run, and debug containers and pods without deep command-line knowledge, while still aligning with corporate platforms and policies.”
What Guy Fieri taught my son - “The politics of Flavortown are not easy to explain”; but, more importantly “Guy Fieri offers us a proposition. It is simple, but also enormously complicated. It can open up the world if we let it. Here is food. Take it, eat, and enjoy.”
Learning Opportunities: A Claude Code Skill for Deliberate Skill Development

Wastebook

“We’re so impatient with each other, bored and fractious. Yet no one will stand more than a foot away, no matter how often you ask, and we love each other too, and pet each other on the head.” Family.
“flaccid as a damp baguette” On expensive dog-food bags.
“I wish I could decide whether to be in the world [or] pull back from the world.” ftrain
“Darmok and Jalad on the ocean.” ST:STG
The Great Claude COBOL Scare of February 2026.
“Critical Ignoring” Here.
“Marilyn Monroe appeared to me last night in a dream as a kind of fairy godmother” Sylvia Plath in her journals
Once again, I’m on the wrong type of drugs to enjoy this beach-DJ.
“triumphant and unforgiving trunk-rattler anthem” Stay Fly.
“an asylum for the millennials driven insane by unfettered internet access” Exploited.

ICYMI

Two Guys and Their Tokens, Software Defined Talk Podcast - This week, we discuss AI-assisted COBOL migrations, the OpenClaw Foundation, and AI killing Office. Plus, is TSA PreCheck Touchless the peak of airport efficiency?

Logoff

We were at the beach for the past week. Always nice, the beach.

If all goes to plan, this will be the last newsletter I send with substack. I’ll move all the email addresses over, so if you’re. current subscriber, nothing to worry about, it’ll just happen. Tell me if it goes bonkers somehow.

I have a bad habit of migrating stuff without much care for preserving existing links. ¯_(ツ)_/¯

I think having everything here at the blog will be good.

The plan is: any blog post that’s in the “Related to your interests” category will be sent as a newsletter email. I shall do just one of those a day. This means there is some duplication if you read my blog and subscribe to the newsletter. But how many people do that? I’ve accidentally-cleverly changed the link section title to “Related to your interests” (instead of “Relative”). There’s some fun “this is the new thing” signaling. And, I think instead of “Original Content,” I’ll use the section title “ICYMI” to be self-promotional material.

We’ll see.

Related to your interests, Monday

Mon, 02 Mar 2026 15:12:41 +0100

Potsdamer Platz bei Nacht, Paul Paeschke, ca. 1929.

Why your DIY Kubernetes stack won’t survive the era of agentic AI
How tech chiefs gauge ROI on AI - AI uses: better search, preparing leases, and this: “When the system senses that ice is running low, it fires off an order to AI agents, which begin routing trucks to fulfill orders. The system also takes into account historical sales trends, weather analytics and other factors to anticipate each route’s ice requirements.”
Writing code is cheap now - “For now I think the best we can do is to second guess ourselves: any time our instinct says “don’t build that, it’s not worth the time” fire off a prompt anyway, in an asynchronous agent session where the worst that can happen is you check ten minutes later and find that it wasn’t worth the tokens.” // Also worth pondering: code is cheap now, but not free.
The new funnel? - Sources for newsletter traffic: “50% word of mouth, 25% search, 25% robo-brain [AI].” // Original post here.
The Deleted City 3.1 - I’m not sure what this is but I like it.
On Cobol, Mainframes, IBM and Blog Posts - Modernization requires a lot of people stuff. Also, if a company is in the legacy trap already, that was a form of self-harm that they need to address regardless of the code. // “However, the attitude of the organisation – the digital literacy – is probably the most important factor. How do they view the ongoing maintenance of their investments in technology. Are technology projects one off investments – get me from point a to point b – or has there ever been an appetite for ongoing investment. Care and feeding. Ask yourself the question how did the organisations that are desperate for this magic bullet end up in this mess in the first place?”
Child’s Play - ”Individual intelligence will mean nothing once we have superhuman AI, at which point the difference between an obscenely talented giga-nerd and an ordinary six-pack-drinking bozo will be about as meaningful as the difference between any two ants.”
Agent Memory Is Not A Greenfield Problem: Ground it in your Existing Data - Connect your LLMs to existing Java apps to skip several the data integration mess, and the need to recreate all your business logic. // ”An agent memory system running on the JVM doesn’t need to call an external API to learn about your customers. It can simply call its own services and repositories, benefiting from their business logic and tested behaviour. Nor does it need to go through MCP, when it can find answers faster in process. It can access the same CustomerRepository your application already uses. It can resolve a proposition like “the user prefers Italian food” against the actual Customer entity and the actual Cuisine entity your recommendation engine already depends on — in the same process, with the same transaction guarantees, through the same Spring context.” // And: “This explains the many failures. Not because AI doesn’t work, but because the approach is wrong. Companies are standing up parallel infrastructure – Python services, vector databases, hosted memory layers, prompt chains – that have no organic connection to the systems that actually run their business. The AI doesn’t know your domain. It doesn’t understand your constraints. It doesn’t share your type system, transaction boundaries or security model. It’s an alien stack that you spend months trying to integrate, and mostly fail.”
On pressing the space bar for the Cabinet - Check out the space you’re presenting in ahead of time.
Privilege is bad grammar. - The Boss Email.
Red Hat takes on Docker Desktop with its enterprise Podman Desktop build - “Positioned as ‘enterprise-ready local container development,’ it is currently in technical preview and available through Red Hat’s developer channels for qualified customers. Red Hat pitches the offering as a way to lower the barrier to using containers by allowing developers to build, run, and debug containers and pods without deep command-line knowledge, while still aligning with corporate platforms and policies.”
What Guy Fieri taught my son - “The politics of Flavortown are not easy to explain”; but, more importantly “Guy Fieri offers us a proposition. It is simple, but also enormously complicated. It can open up the world if we let it. Here is food. Take it, eat, and enjoy.”
Learning Opportunities: A Claude Code Skill for Deliberate Skill Development

Wastebook

“We’re so impatient with each other, bored and fractious. Yet no one will stand more than a foot away, no matter how often you ask, and we love each other too, and pet each other on the head.” Family.
”flaccid as a damp baguette” On expensive dog-food bags.
“I wish I could decide whether to be in the world [or] pull back from the world.” ftrain
“Darmok and Jalad on the ocean.” ST:STG
The Great Claude COBOL Scare of February 2026.
”Critical Ignoring” Here.
“Marilyn Monroe appeared to me last night in a dream as a kind of fairy godmother” Sylvia Plath in her journals
Once again, I’m on the wrong type of drugs to enjoy this beach-DJ.
”triumphant and unforgiving trunk-rattler anthem” Stay Fly.
”an asylum for the millennials driven insane by unfettered internet access” Exploited.

ICYMI

Two Guys and Their Tokens, Software Defined Talk Podcast - This week, we discuss AI-assisted COBOL migrations, the OpenClaw Foundation, and AI killing Office. Plus, is TSA PreCheck Touchless the peak of airport efficiency?

Logoff

We were at the beach for the past week. Always nice, the beach.

I have a bad habit of migrating stuff without much care for preserving existing links. ¯_(ツ)_/¯

I think having everything here at the blog will be good.

We’ll see.

Kubernetes alone does not a platform make

Mon, 02 Mar 2026 14:56:53 +0100

Even the platform engineers need to hide Kubernetes to get their job done:

Kubernetes adds another layer of complexity for platform engineering teams, introducing architectural complexities that require a deep understanding of containers, networking, storage, and cluster security protocols. While it has become the default runtime for modern applications, managing Kubernetes at scale alongside existing VM‑based workloads can overwhelm platform engineering teams. YAML sprawl, cluster life-cycle management, networking dependencies, and security controls consume time that should be spent improving the developer experience and can lead to costly human error.

As a result, many platform engineering teams find themselves serving as infrastructure integrators rather than product engineering teams. They spend cycles wiring systems together, maintaining custom automation, and resolving edge cases between environments. What’s needed is access to solutions that provide an automated infrastructure layer, allowing platform engineers to focus on productizing the platform rather than assembling it.

From “Platform Engineering Needs a Cloud Engine," Taka Uenishi.

Does Platform Product Management & Design Really Happen? Or is it all just platform engineering? - Tanzu Catsup

Sun, 22 Feb 2026 10:22:00 +0100

Most organizations treat infrastructure as a series of projects to be “completed,” but successful platform engineering requires a permanent product mindset. In this episode, we explore why platform teams need dedicated product management to balance competing priorities—like security, cost, and developer experience—and why the “why” scales much better than the “what” in large enterprises. We also dive into the often-overlooked role of designers in creating platform tools that developers actually want to use.

Tanzu Catsup is a weekly conversation about platform engineering, cloud-native operations, and building software in large organizations. We follow the work wherever it actually leads.

And, see the archives for Tanzu Catsup.

Sun, 22 Feb 2026 09:44:00 +0100

Developers crave AI tools for various tasks beyond coding, but that’s only about 20% of their work. But, ops people freak out about security and control challenges, like cost, regulatory compliance, and usage tracking.

Sat, 21 Feb 2026 09:42:00 +0100

Bad advice from Wall Street on enterprise AI.

Automating everything but changing how people work - Relative to your interests, Friday

Fri, 20 Feb 2026 11:30:30 +0100

Enterprise AI apps (or lack thereof), ROI surveys, CFO budget pivots, agile’s stubborn relevance, platform engineering vs. private cloud, Heroku’s freeze, IRS tech cuts, and Europe hedging on AI tools

Peter Klúcik's The Hobbit illustrations.

Where are the enterprise AI apps? Part n + 1 - AI capacity demand is high, but it’s still “early innings” for enterprise AI use.
Say you love business logic without saying “business logic."
European Parliament bars lawmakers from AI tools
How tech chiefs gauge ROI on AI - AI uses: better search, preparing leases, and this: “When the system senses that ice is running low, it fires off an order to AI agents, which begin routing trucks to fulfill orders. The system also takes into account historical sales trends, weather analytics and other factors to anticipate each route’s ice requirements.”
This CTO Says 93% of Developers Use AI, but Productivity Is Still 10% - Developers who use AI produce more code, and have faster onboarding. But, in this study, their productivity gain tops out at four hours saved a week. The thinking is that the organization doesn’t change enough to expand that more. “Culture” is the bottleneck.
AI and tech investment ROI - October 2025: whole bunch of survey data on IT budgeting and priorities, plus the payoffs (ROI).
6,000 execs struggle to find the AI productivity boom - An elusive enterprise AI ROI survey round-up.
Most CFOs expect larger IT budgets, ‘collapsing’ staff growth: Gartner - Management is always eager to “reduce costs.” // ‘The real story lies “in collapsing headcount growth expectations, from 6% in 2025 to just 2% in 2026 with just 21% of CFOs planning staff increases of 4% to 9%, down from 31% last year,” Nauman Abbasi, vice president analyst in Gartner’s finance practice, said in the release. “This marks a structural pivot from labor expansion to optimization driven by automation and AI that deliver productivity gains without proportional increases in headcount.”’
Training your replacement - We’ve always been trying to get rid of programmers.
Amid The AI Hype, Agile Still Remains Relevant In 2025 - “But the new report reveals a striking insight: “Despite the buzz around agile’s supposed decline, a commanding 95% of professionals affirm its critical relevance to their operations.” This statistic, coupled with the 58% of business and technology professionals prioritizing agile adoption, paints a clear picture: Agile is not just surviving; it’s still thriving and not going away, yet it does need improvement.”

The Creative Power of the Spirit, No. 31 of A Goodly Company series, Ethel le Rossignol.

Fragments: February 18 - Deep blue adjacent vibes from the big brains at ThoughtWorks.
How to write a coaching/learning prompt
Platform Engineering Needs a Cloud Engine - “71% of enterprises are moving nearly 24% of their public cloud workloads on premises. These organizations need a modern private cloud platform that delivers public-cloud-like self‑service without forcing developers to become infrastructure experts, while also allowing them to customize configurations as needed.”
Heroku future in doubt as Salesforce freezes features to focus on AI - Also, some commentary from 2010 to 2012 of Heroku: tech debt and scaling problems…and us-east-1, as always.
DOGE bites taxman - “Job cuts at the IRS’s tech arm have gone faster and farther than expected, with 40 percent of IT staff and four-fifths of tech leaders gone, the agency’s CIO revealed yesterday.”
I swear the UFO is coming any minute - Social science and psychology studies are incredibly fraught and susceptible to replication problems, a round up.

ICYMI

AI still not good at basic knowledge worker workflows, which is likely an apps problem - three experiments.
Why it’s great to be a Spring developer now, and how to make it even better - State of Spring, 2026 - a new talk of mine.
Progressive Delivery, with Heidi Waterhouse - Software Defined Interviews - Whitney and Coté talk with Heidi Waterhouse, co-author of the book Progressive Delivery.
Does Platform Product Management & Design Really Happen? Or is it all just platform engineering? - Tanzu Catsup - Most organizations treat infrastructure as a series of projects to be “completed,” but successful platform engineering requires a permanent product mindset. In this episode, we explore why platform teams need dedicated product management.
You Can Feel It Coming - Software Defined Talk
New short videos since last time: bad advice from Wall Street on enterprise AI, devs want AI tools that freak ops people out.

Melany Lane typeface.

Logoff

I’m still figuring out how to setup my newsletter at micro.blog, and move off substack. It doesn’t work yet, so I’m posting this manually to the newsletter list (via substack, sure). But, this means, though, if you’re reading the newsletter that you missed the episode from earlier this week. You can check it out here if you like links and original content.

You Can Feel It Coming - Software Defined Talk

Fri, 20 Feb 2026 09:53:00 +0100

This week, we discuss personal AI hype cycles, bottoms-up adoption, and “The Modern Stack” simplifying cloud. Plus, thoughts on new cars and the dogs that ride in them.

See the traditional podcast listing for links and more.

Progressive Delivery, with Heidi Waterhouse - Software Defined Interviews

Fri, 20 Feb 2026 09:51:19 +0100

See the traditional podcast version for more and Heidi links.

Why it's great to be a Spring developer now, and how to make it even better - State of Spring, 2026

Fri, 20 Feb 2026 09:09:38 +0100

This is a talk I give at the start of Spring workshops we do. Here is the recording. The point is to show people that being a Java and Spring developers is fantastic right now. Here’s the description:

Spring developers are in a strange position in 2026: everything is changing: AI, platform engineering, enterprise architecture. And yet Spring keeps getting stronger.

In this talk, Coté walks through why this is actually a great moment to be a Spring developer, especially in large organizations. He looks at:

How AI code generation is changing Java and Spring development
Why enterprise momentum still matters
The role of platforms in making Spring teams faster
Where private AI, model brokering, and MCP-style patterns fit in
What you can do to increase your leverage as a Spring developer

If you’re building enterprise application, working on internal platforms, or wondering how AI changes your day job, this is a grounded, pragmatic look at where Spring fits in 2026, and how to push it further.

And here’s the slides.

Fri, 20 Feb 2026 07:33:46 +0100

Best review of The Sound and The Fury, in Mad Men, s2e11: “Sex is good. This book is just OK.”

Management is always eager to "reduce costs."

Fri, 20 Feb 2026 07:26:46 +0100

The real story lies “in collapsing headcount growth expectations, from 6% in 2025 to just 2% in 2026 with just 21% of CFOs planning staff increases of 4% to 9%, down from 31% last year,” Nauman Abbasi, vice president analyst in Gartner’s finance practice, said in the release. “This marks a structural pivot from labor expansion to optimization driven by automation and AI that deliver productivity gains without proportional increases in headcount.”

🔗 Most CFOs expect larger IT budgets, ‘collapsing’ staff growth: Gartner

Meanwhile: 6,000 execs struggle to find the AI productivity boom

Say you love business logic without saying "business logic."

Fri, 20 Feb 2026 07:22:52 +0100

Model Eats the Software: Why the Marginal Cost of Enterprise Software Approaches Zero

More on agentic AI changing the software business from Jason Hoffman:

Andreessen specifically predicted that Salesforce would disrupt Oracle. Fourteen years later, Oracle is roughly 2.5x the size of Salesforce. Salesforce sells application logic – workflows, configurations, business rules. Oracle sells infrastructure – databases, middleware, cloud compute. The application layer was always the vulnerable part. The infrastructure layer was always the durable part. Software ate the world. Then it sat around all gluttonous and bloated. Frozen reasoning."

Also, it was the incumbents who did all the eating.

And, a proposal for using AI as the UI and business logic layer for enterprise apps:

First, right now: meet people in the tools they already use.

Second, the real product: figure out where the data is and what it is. Put MCP servers in front of it. MCP Apps for the interface. The model does the rest.

There’s no step 3 where you build a Salesforce competitor. There’s no application to build. The application is the model connected to the data with a UI layer.

And:

What used to cost $10 million and 18 months – a Salesforce implementation, a custom ERP module, a contract management system – now costs the time it takes to describe what you want.

Related point: the moat for existing ERP companies is keeping all of that data and business logic behind walled gardens.

AI still not good at basic knowledge worker workflows, which is likely an apps problem

Fri, 20 Feb 2026 07:20:41 +0100

Here is one account of AI being shit at multi-step activate outside of coding:

I think my request of “Hey Gemini, show me a list of all the articles I wrote over the last year and arrange them into categories by subject” is a straightforward one, and I came away from this experience surprised that Gemini shipped these features as bleeding edge AI to customers when it never really delivered for me.

I have the same experience, weekly. In general, using AI for this kind search and analytics has been bad and more time consuming than just doing it myself.

It is especially bad when you hook it up to other services like docs and email.

It works pretty well with plain text files. I think why it works there is that it writes scripts to search and chunk the text. That is, it’s doing non-AI work to search docs and others. Perhaps it’s good at orchestrating text work like this, not doing the finding, sorting, and formatting work.

Here are some example scenarios.

I ask Claude Code (and now Coworker) to look through all of my journal files (plain text, in markdown with frontmatter) and reformat them to a standard format and file and, adding keywords for my emotional state.

It writes scripts to search for and find each file, the processes them. I’m not sure how it does the sentiment analysis…but that would seem to be a perfect use for AI.

I’ve done similar things with re-arranging the plain text files in my Obsidian vault.

Meanwhile, I ask it to find all of the receipts for my last trip by searching my GMail.

Our return flight was canceled, so we wanted to file for the EU reimbursements you get. It did sort of OK. It found an AirBnB receipt, but failed to find the canceled and rescheduled airline emails.

When asked “simple” questions about the policy, it was very ambiguous.

Most tasks I do with email are like that. You get the feeling that the AI - even Gemini - does not search all email.

Here is a test you can do. Ask it to tell you the top ten people you emailed and common subjects with each for the past ten years. It you’re like me, that’s more like 20+ years in GMail (I imported my Yahoo! email long ago).

Usually, this a disappointment.

There’s all sorts of reasons this could be happening. My guess would be that the scale of this problem is out of scope for the consumer grade Gemini and other AI chat apps. You’re talking about looking at, probably, 100'000’s of emails; each one.

However, what I would expect is they because it’s all on Google and they are masters at understanding content (so that they can target ads), that there are existing systems to do this. That would mean the Gemini team coordinating with the GMail team, which is likely a lot to ask.

The good news is that this is likely an app problem. When you look at the complex orchestration systems developers use to make large apps, there is a lot going on. The same things (clearly) don’t exist in the chatbots at the moment.

Something like NotebookLM is a good, early example of an orchestration system. I don’t use NotebookLM enough to be confident in this, but I think it is all built around one use case: “help me learn this topic.” A secondary use case is “help me present this topic.”

For example, it does not do well at all “help me play D&D.”

Where are the enterprise AI apps? Part n + 1

Wed, 18 Feb 2026 07:08:11 +0100

Outside of programming, there’s still a dearth of enterprise AI apps, it seems. Palo Alto’s CEO:

“Consumers are far outstripping enterprise for the moment, but we expect enterprise will surely and slowly get on that bandwagon,” he said on the company’s Q2 earnings call. … “Right now … tell me how many enterprise AI apps are you using which are driving tremendous amounts of throughput,” he asked, and answered himself “I can’t think of anything but coding apps.”

Yes, but… Corey Quinn says enterprises are grabbing up all the GPU use they can from AWS:

In other words, I can confirm these claims. AWS isn’t getting ahead of its skis here; customers are legitimately asking for all the GPUs they can get their hands on.

Is demand for that wave of enterprise AI apps we’ve been waiting for?

When comes to AWS’s business, he also added a fallback to underpants:

My money, for what it’s worth, is somewhere in between. The demand is real. The contracts are signed. But the gap between “every enterprise is experimenting with AI” and “every enterprise is running production AI workloads at scale” is a chasm that $200 billion worth of GPUs can’t bridge on its own. Amazon will almost certainly be fine – they have the underpants business to fall back on. It’s everyone else in the supply chain who should be losing sleep.

Maybe 2026 will be the year.

Attention, Autonomy, and AI in the Critical Path - Related to your interests - February 17th, 2026

Tue, 17 Feb 2026 12:16:46 +0100

“‘CEO said a thing!’ journalism” - fantastic new phrase!
How AI Is Redefining Product Teams - What do product managers do in AI code gen land?
NatWest hails progress after £1.2bn spent on tech last year, but true AI transformation to come - “According to the bank, more than 70,000 hours were saved through automated AI call summaries in its retail business, while relationship managers in its wealth business were able to spend 30% more time on customer conversations by using AI. According to NatWest, through agentic and voice AI, customers will receive ‘more intuitive, personalised and seamless interactions’ this year.”
Poor Deming never stood a chance - “The beauty of a set of key results is that they take the messiness of the system as input and create a neat summary in spreadsheet or slide format as output.”
On Keeping AI in the Critical Path - “The instruction produces a summary. The axiom produces an audit. The instruction asks the model to describe what it sees. The axiom asks the model to evaluate what it sees against a standard. One is retrieval. The other is reasoning.”
UK bank bosses plan to set up Visa and Mastercard alternative amid Trump fears - ‘“If Mastercard and Visa were turned off, it would send us back to the 1950s,” before cards dominated the UK economy, and businesses wholly relied on cash, one executive familiar with the project told the Guardian. “Of course, we need a sovereign payments system.”’

“Don’t hook up where you VLOOKUP.” Work advice
“Bawdiness requires two things: humour and the body. Both need to exist together to truly earn the epithet.”
Related: “Sex Recession”
Meanwhile, in 1828: “Goodridge was sending Webster the 19th-century equivalent of ‘a saucy nudie pic’”
How ‘Dump Him’ Became a Marketing Strategy - “This is not a pivot away from love, but a shift towards autonomy”
Ludovic Slimak on Neanderthals: ‘It was suicide. Humans disappear when they no longer want to live because their values have collapsed’ - “Is it possible that for Neanderthals, their relationship with the world was to have a small territory and stay there forever?”
“Fill your own cup with what gives you energy” - Productivity is always about stopping interruptions: “What’s your optimum time of day and week where you feel most energised or in the flow for deep work? The other way of looking at it is this: when do you not like being interrupted during the day?”
The hype is as important as the tech. Often more.
Is Brian Armstrong, CEO of Coinbase, “full of shit”? - The latest from Bitcoin land.
Good thread of pictures of vintage computers and peripherals, like dot matrix printers.
“Every milk-carton has a QR code.” Bruce Sterling
Trump’s Favorite Strategy Stops Working - “It worked because Trump understood a basic rule of modern politics: attention beats substance.” // Sounds like the Internet “discourse” post-Facebook.
Agipo, Font Review Journal - “Agipo follows a growing trend I’ve seen from type designers, which involves taking a familiar genre, picking a handful of characters, and making those characters blindingly distinct.”

ICYMI

Some original content and other posts from my weblog:

Your Boss Doesn’t Know What to Do With AI, a short video.
VMware is just fine, it seems.

Logoff

I’m thinking of moving my newsletter to the newsletter service in micro.blog.

This would be slightly weird for weblog readers. You would see some duplicate posts in the ICYMI section above. However, since I’ve been batching up links instead of posting them individually, most of what you get would be fresh content, you could just skip the ICYMI.

You could think of it as a digest post…kind of…but not really.

Newsletter only subscribers would miss a few posts (they’d only get the ones I have in this round-up). But, it would mean the newsletter goes out more, and be less work for me. We’ll see what it looks like.

Tue, 17 Feb 2026 11:53:10 +0100

Your Boss Doesn’t Know What to Do With AI

Enterprise AI Has a Product-Market Fit Problem. Enterprise AI isn’t stalled because the models are weak. It’s stalled because we haven’t discovered product-market fit inside the enterprise yet.

You don’t find real AI value by theorizing in workshops. You find it by running experiments for months inside your actual systems - against real data - in a governed environment.

That requires a platform.

Without one, AI pilots turn into disconnected experiments, shadow infrastructure, and compliance risk. With one, experimentation compounds into institutional learning.

In this video, I break down:

Why enterprise AI is still in discovery mode
Why experimentation must be long-running, not one-off
How governance enables innovation instead of blocking it
Why a secure platform foundation is the baseline for AI ROI

If you’re thinking about AI strategy, platform engineering, or how to make AI experimentation safe and scalable, this is where to start.

Featured:

There's a lot of business logic in Java, decades worth...

Mon, 16 Feb 2026 15:18:34 +0100

We have invested a lot in domain models, some of which are even very good. And, to be able to leverage that as we move to the new world is really, really important." Rod Johnson.

Source: “GenAI Grows Up: Building Production-Ready Agents on the JVM," Rod Johnson, GOTO, October 1st, 2025.

That reminds me of this gem:

Mon, 16 Feb 2026 09:25:52 +0100

From The Book of Lairs, volume one.

Mon, 16 Feb 2026 09:19:37 +0100

If OpenAI fails, the most likely mode is the Yahoo path: not a dramatic collapse but a slow fade into irrelevance through a thousand mediocre product extensions. ChatGPT becomes a utility everyone uses but nobody pays premium for. Enterprise goes to companies with better compliance stories. The consumer product goes ad-supported. Revenue grows but margins compress. The valuation becomes unjustifiable. They never die – they just stop mattering.

🔗 OK, It’s a Bubble. Now Tell Me How It Pops.